program(1.0) [buildInfo = dict, tensor>({{"coremlc-component-MIL", "5.33.5"}, {"coremlc-version", "1877.0.68.0.1"}, {"coremltools-component-tensorflow", "1.15.5"}, {"coremltools-version", "7.0"}, {"mldb_token", "mldb-qvoyqm3gbj"}})] { func main(tensor network_inputs_image_2_0_bridge, tensor network_inputs_var_0_bridge) [FlexibleShapeInformation = tuple, dict, tensor>>, tuple, dict, dict, tensor>>>>((("DefaultShapes", {{"network_inputs_image_2_0_bridge", [1, 3, 128, 128]}, {"network_inputs_var_0_bridge", [1, 10, 1, 1]}}), ("EnumeratedShapes", {{"b1", {{"network_inputs_image_2_0_bridge", [1, 3, 128, 128]}, {"network_inputs_var_0_bridge", [1, 10, 1, 1]}}}, {"b2", {{"network_inputs_image_2_0_bridge", [2, 3, 128, 128]}, {"network_inputs_var_0_bridge", [2, 10, 1, 1]}}}, {"b3", {{"network_inputs_image_2_0_bridge", [3, 3, 128, 128]}, {"network_inputs_var_0_bridge", [3, 10, 1, 1]}}}, {"b4", {{"network_inputs_image_2_0_bridge", [4, 3, 128, 128]}, {"network_inputs_var_0_bridge", [4, 10, 1, 1]}}}}))), checkpoint_ids = dict, tensor>({{"tongue_checkpoint_id", "467974"}, {"tracking_checkpoint_id", "666184"}})] { tensor feature_extraction_features_rgb_1_densenet_1_concat_axis = const()[name = tensor("feature_extraction_features_rgb_1_densenet_1_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_1_densenet_3_concat_axis = const()[name = tensor("feature_extraction_features_rgb_1_densenet_3_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_1_densenet_5_concat_axis = const()[name = tensor("feature_extraction_features_rgb_1_densenet_5_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_4_densenet_1_concat_axis = const()[name = tensor("feature_extraction_features_rgb_4_densenet_1_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_4_densenet_3_concat_axis = const()[name = tensor("feature_extraction_features_rgb_4_densenet_3_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_4_densenet_5_concat_axis = const()[name = tensor("feature_extraction_features_rgb_4_densenet_5_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_7_densenet_1_concat_axis = const()[name = tensor("feature_extraction_features_rgb_7_densenet_1_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_7_densenet_3_concat_axis = const()[name = tensor("feature_extraction_features_rgb_7_densenet_3_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_7_densenet_5_concat_axis = const()[name = tensor("feature_extraction_features_rgb_7_densenet_5_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_7_densenet_7_concat_axis = const()[name = tensor("feature_extraction_features_rgb_7_densenet_7_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_10_densenet_1_concat_axis = const()[name = tensor("feature_extraction_features_rgb_10_densenet_1_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_10_densenet_3_concat_axis = const()[name = tensor("feature_extraction_features_rgb_10_densenet_3_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_10_densenet_5_concat_axis = const()[name = tensor("feature_extraction_features_rgb_10_densenet_5_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_10_densenet_7_concat_axis = const()[name = tensor("feature_extraction_features_rgb_10_densenet_7_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_13_densenet_1_concat_axis = const()[name = tensor("feature_extraction_features_rgb_13_densenet_1_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_13_densenet_3_concat_axis = const()[name = tensor("feature_extraction_features_rgb_13_densenet_3_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_13_densenet_5_concat_axis = const()[name = tensor("feature_extraction_features_rgb_13_densenet_5_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_13_densenet_7_concat_axis = const()[name = tensor("feature_extraction_features_rgb_13_densenet_7_concat_axis"), val = tensor(1)]; tensor id_conditioning_concatenate_axis = const()[name = tensor("id_conditioning_concatenate_axis"), val = tensor(1)]; tensor features_failure_1_densenet_1_concat_axis = const()[name = tensor("features_failure_1_densenet_1_concat_axis"), val = tensor(1)]; tensor features_failure_1_densenet_3_concat_axis = const()[name = tensor("features_failure_1_densenet_3_concat_axis"), val = tensor(1)]; tensor features_failure_1_densenet_5_concat_axis = const()[name = tensor("features_failure_1_densenet_5_concat_axis"), val = tensor(1)]; tensor features_failure_4_densenet_1_concat_axis = const()[name = tensor("features_failure_4_densenet_1_concat_axis"), val = tensor(1)]; tensor features_failure_4_densenet_3_concat_axis = const()[name = tensor("features_failure_4_densenet_3_concat_axis"), val = tensor(1)]; tensor features_failure_4_densenet_5_concat_axis = const()[name = tensor("features_failure_4_densenet_5_concat_axis"), val = tensor(1)]; tensor features_failure_7_densenet_1_concat_axis = const()[name = tensor("features_failure_7_densenet_1_concat_axis"), val = tensor(1)]; tensor features_failure_7_densenet_3_concat_axis = const()[name = tensor("features_failure_7_densenet_3_concat_axis"), val = tensor(1)]; tensor features_failure_7_densenet_5_concat_axis = const()[name = tensor("features_failure_7_densenet_5_concat_axis"), val = tensor(1)]; tensor features_failure_7_densenet_7_concat_axis = const()[name = tensor("features_failure_7_densenet_7_concat_axis"), val = tensor(1)]; tensor features_failure_10_densenet_1_concat_axis = const()[name = tensor("features_failure_10_densenet_1_concat_axis"), val = tensor(1)]; tensor features_failure_10_densenet_3_concat_axis = const()[name = tensor("features_failure_10_densenet_3_concat_axis"), val = tensor(1)]; tensor features_failure_10_densenet_5_concat_axis = const()[name = tensor("features_failure_10_densenet_5_concat_axis"), val = tensor(1)]; tensor features_failure_10_densenet_7_concat_axis = const()[name = tensor("features_failure_10_densenet_7_concat_axis"), val = tensor(1)]; tensor features_failure_13_densenet_1_concat_axis = const()[name = tensor("features_failure_13_densenet_1_concat_axis"), val = tensor(1)]; tensor features_failure_13_densenet_3_concat_axis = const()[name = tensor("features_failure_13_densenet_3_concat_axis"), val = tensor(1)]; tensor features_failure_13_densenet_5_concat_axis = const()[name = tensor("features_failure_13_densenet_5_concat_axis"), val = tensor(1)]; tensor features_failure_13_densenet_7_concat_axis = const()[name = tensor("features_failure_13_densenet_7_concat_axis"), val = tensor(1)]; tensor concatenate_axis = const()[name = tensor("concatenate_axis"), val = tensor(1)]; tensor tongue_features_1_densenet_1_concat_axis = const()[name = tensor("tongue_features_1_densenet_1_concat_axis"), val = tensor(1)]; tensor tongue_features_1_densenet_3_concat_axis = const()[name = tensor("tongue_features_1_densenet_3_concat_axis"), val = tensor(1)]; tensor tongue_features_1_densenet_5_concat_axis = const()[name = tensor("tongue_features_1_densenet_5_concat_axis"), val = tensor(1)]; tensor tongue_features_4_densenet_1_concat_axis = const()[name = tensor("tongue_features_4_densenet_1_concat_axis"), val = tensor(1)]; tensor tongue_features_4_densenet_3_concat_axis = const()[name = tensor("tongue_features_4_densenet_3_concat_axis"), val = tensor(1)]; tensor tongue_features_4_densenet_5_concat_axis = const()[name = tensor("tongue_features_4_densenet_5_concat_axis"), val = tensor(1)]; tensor tongue_features_7_densenet_1_concat_axis = const()[name = tensor("tongue_features_7_densenet_1_concat_axis"), val = tensor(1)]; tensor tongue_features_7_densenet_3_concat_axis = const()[name = tensor("tongue_features_7_densenet_3_concat_axis"), val = tensor(1)]; tensor tongue_features_7_densenet_5_concat_axis = const()[name = tensor("tongue_features_7_densenet_5_concat_axis"), val = tensor(1)]; tensor tongue_features_7_densenet_7_concat_axis = const()[name = tensor("tongue_features_7_densenet_7_concat_axis"), val = tensor(1)]; tensor tongue_features_10_densenet_1_concat_axis = const()[name = tensor("tongue_features_10_densenet_1_concat_axis"), val = tensor(1)]; tensor tongue_features_10_densenet_3_concat_axis = const()[name = tensor("tongue_features_10_densenet_3_concat_axis"), val = tensor(1)]; tensor tongue_features_10_densenet_5_concat_axis = const()[name = tensor("tongue_features_10_densenet_5_concat_axis"), val = tensor(1)]; tensor tongue_features_10_densenet_7_concat_axis = const()[name = tensor("tongue_features_10_densenet_7_concat_axis"), val = tensor(1)]; tensor tongue_features_13_densenet_1_concat_axis = const()[name = tensor("tongue_features_13_densenet_1_concat_axis"), val = tensor(1)]; tensor tongue_features_13_densenet_3_concat_axis = const()[name = tensor("tongue_features_13_densenet_3_concat_axis"), val = tensor(1)]; tensor tongue_features_13_densenet_5_concat_axis = const()[name = tensor("tongue_features_13_densenet_5_concat_axis"), val = tensor(1)]; tensor tongue_features_13_densenet_7_concat_axis = const()[name = tensor("tongue_features_13_densenet_7_concat_axis"), val = tensor(1)]; tensor feature_extraction_features_rgb_0_conv_block_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_0_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_0_conv_block_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_0_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor feature_extraction_features_rgb_0_conv_block_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_0_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_0_conv_block_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_0_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_0_conv_block_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_0_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_0_to_fp16 = const()[name = tensor("transpose_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64)))]; tensor const_0_to_fp16 = const()[name = tensor("const_0_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1856)))]; tensor feature_extraction_features_rgb_0_conv_block_add_cast = conv(bias = const_0_to_fp16, dilations = feature_extraction_features_rgb_0_conv_block_convolutionx_dilations_0, groups = feature_extraction_features_rgb_0_conv_block_convolutionx_groups_0, pad = feature_extraction_features_rgb_0_conv_block_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_0_conv_block_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_0_conv_block_convolutionx_strides_0, weight = transpose_0_to_fp16, x = network_inputs_image_2_0_bridge)[name = tensor("feature_extraction_features_rgb_0_conv_block_add_cast")]; tensor features_failure_0_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_0_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_0_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_0_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor features_failure_0_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_0_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_0_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_0_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_0_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_0_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_2_to_fp16 = const()[name = tensor("transpose_2_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1984)))]; tensor const_1_to_fp16 = const()[name = tensor("const_1_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2944)))]; tensor features_failure_0_conv_block_add_cast = conv(bias = const_1_to_fp16, dilations = features_failure_0_conv_block_convolutionx_dilations_0, groups = features_failure_0_conv_block_convolutionx_groups_0, pad = features_failure_0_conv_block_convolutionx_pad_0, pad_type = features_failure_0_conv_block_convolutionx_pad_type_0, strides = features_failure_0_conv_block_convolutionx_strides_0, weight = transpose_2_to_fp16, x = network_inputs_image_2_0_bridge)[name = tensor("features_failure_0_conv_block_add_cast")]; tensor tongue_features_0_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_0_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_0_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_0_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor tongue_features_0_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_0_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_0_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_0_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_0_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_0_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_4_to_fp16 = const()[name = tensor("transpose_4_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(3072)))]; tensor const_2_to_fp16 = const()[name = tensor("const_2_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4032)))]; tensor tongue_features_0_conv_block_add_cast = conv(bias = const_2_to_fp16, dilations = tongue_features_0_conv_block_convolutionx_dilations_0, groups = tongue_features_0_conv_block_convolutionx_groups_0, pad = tongue_features_0_conv_block_convolutionx_pad_0, pad_type = tongue_features_0_conv_block_convolutionx_pad_type_0, strides = tongue_features_0_conv_block_convolutionx_strides_0, weight = transpose_4_to_fp16, x = network_inputs_image_2_0_bridge)[name = tensor("tongue_features_0_conv_block_add_cast")]; tensor feature_extraction_features_rgb_0_conv_block_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_0_conv_block_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_0_conv_block_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_0_conv_block_leaky_relu_alpha_0, x = feature_extraction_features_rgb_0_conv_block_add_cast)[name = tensor("feature_extraction_features_rgb_0_conv_block_leaky_relu_cast")]; tensor features_failure_0_conv_block_relu_cast = relu(x = features_failure_0_conv_block_add_cast)[name = tensor("features_failure_0_conv_block_relu_cast")]; tensor tongue_features_0_conv_block_relu_cast = relu(x = tongue_features_0_conv_block_add_cast)[name = tensor("tongue_features_0_conv_block_relu_cast")]; tensor feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_6_to_fp16 = const()[name = tensor("transpose_6_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(4160)))]; tensor const_3_to_fp16 = const()[name = tensor("const_3_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13440)))]; tensor feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_add_cast = conv(bias = const_3_to_fp16, dilations = feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_strides_0, weight = transpose_6_to_fp16, x = feature_extraction_features_rgb_0_conv_block_leaky_relu_cast)[name = tensor("feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_add_cast")]; tensor features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_8_to_fp16 = const()[name = tensor("transpose_8_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(13568)))]; tensor const_4_to_fp16 = const()[name = tensor("const_4_to_fp16"), val = tensor([0.0134963989, 0.11541748, 0.0824584961, 0.0589599609])]; tensor features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast = conv(bias = const_4_to_fp16, dilations = features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0, groups = features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0, pad = features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0, pad_type = features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0, strides = features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0, weight = transpose_8_to_fp16, x = features_failure_0_conv_block_relu_cast)[name = tensor("features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast")]; tensor tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_10_to_fp16 = const()[name = tensor("transpose_10_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(14784)))]; tensor const_5_to_fp16 = const()[name = tensor("const_5_to_fp16"), val = tensor([0.00343322754, 0.036895752, -0.0314025879, -0.00289916992])]; tensor tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast = conv(bias = const_5_to_fp16, dilations = tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0, groups = tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0, pad = tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0, pad_type = tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0, strides = tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0, weight = transpose_10_to_fp16, x = tongue_features_0_conv_block_relu_cast)[name = tensor("tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast")]; tensor feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_leaky_relu_cast")]; tensor features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast = relu(x = features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast)[name = tensor("features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast")]; tensor tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast = relu(x = tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast)[name = tensor("tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast")]; tensor feature_extraction_features_rgb_1_densenet_1_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_1_densenet_1_concat_cast = concat(axis = feature_extraction_features_rgb_1_densenet_1_concat_axis, interleave = feature_extraction_features_rgb_1_densenet_1_concat_interleave_0, values = (feature_extraction_features_rgb_1_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_leaky_relu_cast, feature_extraction_features_rgb_0_conv_block_leaky_relu_cast))[name = tensor("feature_extraction_features_rgb_1_densenet_1_concat_cast")]; tensor features_failure_1_densenet_1_concat_interleave_0 = const()[name = tensor("features_failure_1_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor features_failure_1_densenet_1_concat_cast = concat(axis = features_failure_1_densenet_1_concat_axis, interleave = features_failure_1_densenet_1_concat_interleave_0, values = (features_failure_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast, features_failure_0_conv_block_relu_cast))[name = tensor("features_failure_1_densenet_1_concat_cast")]; tensor tongue_features_1_densenet_1_concat_interleave_0 = const()[name = tensor("tongue_features_1_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_1_densenet_1_concat_cast = concat(axis = tongue_features_1_densenet_1_concat_axis, interleave = tongue_features_1_densenet_1_concat_interleave_0, values = (tongue_features_1_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast, tongue_features_0_conv_block_relu_cast))[name = tensor("tongue_features_1_densenet_1_concat_cast")]; tensor feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_12_to_fp16 = const()[name = tensor("transpose_12_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(16000)))]; tensor const_6_to_fp16 = const()[name = tensor("const_6_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(29888)))]; tensor feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_add_cast = conv(bias = const_6_to_fp16, dilations = feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_strides_0, weight = transpose_12_to_fp16, x = feature_extraction_features_rgb_1_densenet_1_concat_cast)[name = tensor("feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_add_cast")]; tensor features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_14_to_fp16 = const()[name = tensor("transpose_14_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(30016)))]; tensor const_7_to_fp16 = const()[name = tensor("const_7_to_fp16"), val = tensor([0.0219116211, 0.101501465, 0.173583984, -0.00475692749])]; tensor features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast = conv(bias = const_7_to_fp16, dilations = features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0, groups = features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0, pad = features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0, pad_type = features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0, strides = features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0, weight = transpose_14_to_fp16, x = features_failure_1_densenet_1_concat_cast)[name = tensor("features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast")]; tensor tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_16_to_fp16 = const()[name = tensor("transpose_16_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(31552)))]; tensor const_8_to_fp16 = const()[name = tensor("const_8_to_fp16"), val = tensor([0.124755859, 0.0697631836, 0.0184020996, 0.124023438])]; tensor tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast = conv(bias = const_8_to_fp16, dilations = tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0, groups = tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0, pad = tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0, pad_type = tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0, strides = tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0, weight = transpose_16_to_fp16, x = tongue_features_1_densenet_1_concat_cast)[name = tensor("tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast")]; tensor feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_leaky_relu_cast")]; tensor features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast = relu(x = features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast)[name = tensor("features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast")]; tensor tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast = relu(x = tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast)[name = tensor("tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast")]; tensor feature_extraction_features_rgb_1_densenet_3_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_1_densenet_3_concat_cast = concat(axis = feature_extraction_features_rgb_1_densenet_3_concat_axis, interleave = feature_extraction_features_rgb_1_densenet_3_concat_interleave_0, values = (feature_extraction_features_rgb_1_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_leaky_relu_cast, feature_extraction_features_rgb_1_densenet_1_concat_cast))[name = tensor("feature_extraction_features_rgb_1_densenet_3_concat_cast")]; tensor features_failure_1_densenet_3_concat_interleave_0 = const()[name = tensor("features_failure_1_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor features_failure_1_densenet_3_concat_cast = concat(axis = features_failure_1_densenet_3_concat_axis, interleave = features_failure_1_densenet_3_concat_interleave_0, values = (features_failure_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast, features_failure_1_densenet_1_concat_cast))[name = tensor("features_failure_1_densenet_3_concat_cast")]; tensor tongue_features_1_densenet_3_concat_interleave_0 = const()[name = tensor("tongue_features_1_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_1_densenet_3_concat_cast = concat(axis = tongue_features_1_densenet_3_concat_axis, interleave = tongue_features_1_densenet_3_concat_interleave_0, values = (tongue_features_1_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast, tongue_features_1_densenet_1_concat_cast))[name = tensor("tongue_features_1_densenet_3_concat_cast")]; tensor feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_18_to_fp16 = const()[name = tensor("transpose_18_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(33088)))]; tensor const_9_to_fp16 = const()[name = tensor("const_9_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51584)))]; tensor feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast = conv(bias = const_9_to_fp16, dilations = feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0, weight = transpose_18_to_fp16, x = feature_extraction_features_rgb_1_densenet_3_concat_cast)[name = tensor("feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast")]; tensor features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_20_to_fp16 = const()[name = tensor("transpose_20_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(51712)))]; tensor const_10_to_fp16 = const()[name = tensor("const_10_to_fp16"), val = tensor([0.0108566284, 0.042755127, -0.280517578, 0.227539062])]; tensor features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast = conv(bias = const_10_to_fp16, dilations = features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0, groups = features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0, pad = features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0, pad_type = features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0, strides = features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0, weight = transpose_20_to_fp16, x = features_failure_1_densenet_3_concat_cast)[name = tensor("features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast")]; tensor tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_22_to_fp16 = const()[name = tensor("transpose_22_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(53504)))]; tensor const_11_to_fp16 = const()[name = tensor("const_11_to_fp16"), val = tensor([0.00409698486, 0.11328125, -0.0094833374, 0.0123291016])]; tensor tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast = conv(bias = const_11_to_fp16, dilations = tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0, groups = tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0, pad = tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0, pad_type = tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0, strides = tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0, weight = transpose_22_to_fp16, x = tongue_features_1_densenet_3_concat_cast)[name = tensor("tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast")]; tensor feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_cast")]; tensor features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast = relu(x = features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast)[name = tensor("features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast")]; tensor tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast = relu(x = tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast)[name = tensor("tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast")]; tensor feature_extraction_features_rgb_1_densenet_5_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_1_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_1_densenet_5_concat_cast = concat(axis = feature_extraction_features_rgb_1_densenet_5_concat_axis, interleave = feature_extraction_features_rgb_1_densenet_5_concat_interleave_0, values = (feature_extraction_features_rgb_1_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_cast, feature_extraction_features_rgb_1_densenet_3_concat_cast))[name = tensor("feature_extraction_features_rgb_1_densenet_5_concat_cast")]; tensor features_failure_1_densenet_5_concat_interleave_0 = const()[name = tensor("features_failure_1_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor features_failure_1_densenet_5_concat_cast = concat(axis = features_failure_1_densenet_5_concat_axis, interleave = features_failure_1_densenet_5_concat_interleave_0, values = (features_failure_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast, features_failure_1_densenet_3_concat_cast))[name = tensor("features_failure_1_densenet_5_concat_cast")]; tensor tongue_features_1_densenet_5_concat_interleave_0 = const()[name = tensor("tongue_features_1_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_1_densenet_5_concat_cast = concat(axis = tongue_features_1_densenet_5_concat_axis, interleave = tongue_features_1_densenet_5_concat_interleave_0, values = (tongue_features_1_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast, tongue_features_1_densenet_3_concat_cast))[name = tensor("tongue_features_1_densenet_5_concat_cast")]; tensor feature_extraction_features_rgb_2_conv_block_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_2_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_2_conv_block_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_2_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_2_conv_block_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_2_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_2_conv_block_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_2_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_2_conv_block_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_2_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_24_to_fp16 = const()[name = tensor("transpose_24_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(55296)))]; tensor const_12_to_fp16 = const()[name = tensor("const_12_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(101440)))]; tensor feature_extraction_features_rgb_2_conv_block_add_cast = conv(bias = const_12_to_fp16, dilations = feature_extraction_features_rgb_2_conv_block_convolutionx_dilations_0, groups = feature_extraction_features_rgb_2_conv_block_convolutionx_groups_0, pad = feature_extraction_features_rgb_2_conv_block_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_2_conv_block_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_2_conv_block_convolutionx_strides_0, weight = transpose_24_to_fp16, x = feature_extraction_features_rgb_1_densenet_5_concat_cast)[name = tensor("feature_extraction_features_rgb_2_conv_block_add_cast")]; tensor features_failure_2_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_2_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_2_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_2_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_2_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_2_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_2_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_2_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_2_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_2_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_26_to_fp16 = const()[name = tensor("transpose_26_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(101568)))]; tensor const_13_to_fp16 = const()[name = tensor("const_13_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(109696)))]; tensor features_failure_2_conv_block_add_cast = conv(bias = const_13_to_fp16, dilations = features_failure_2_conv_block_convolutionx_dilations_0, groups = features_failure_2_conv_block_convolutionx_groups_0, pad = features_failure_2_conv_block_convolutionx_pad_0, pad_type = features_failure_2_conv_block_convolutionx_pad_type_0, strides = features_failure_2_conv_block_convolutionx_strides_0, weight = transpose_26_to_fp16, x = features_failure_1_densenet_5_concat_cast)[name = tensor("features_failure_2_conv_block_add_cast")]; tensor tongue_features_2_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_2_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_2_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_2_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_2_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_2_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_2_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_2_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_2_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_2_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_28_to_fp16 = const()[name = tensor("transpose_28_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(109824)))]; tensor const_14_to_fp16 = const()[name = tensor("const_14_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(117952)))]; tensor tongue_features_2_conv_block_add_cast = conv(bias = const_14_to_fp16, dilations = tongue_features_2_conv_block_convolutionx_dilations_0, groups = tongue_features_2_conv_block_convolutionx_groups_0, pad = tongue_features_2_conv_block_convolutionx_pad_0, pad_type = tongue_features_2_conv_block_convolutionx_pad_type_0, strides = tongue_features_2_conv_block_convolutionx_strides_0, weight = transpose_28_to_fp16, x = tongue_features_1_densenet_5_concat_cast)[name = tensor("tongue_features_2_conv_block_add_cast")]; tensor feature_extraction_features_rgb_2_conv_block_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_2_conv_block_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_2_conv_block_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_2_conv_block_leaky_relu_alpha_0, x = feature_extraction_features_rgb_2_conv_block_add_cast)[name = tensor("feature_extraction_features_rgb_2_conv_block_leaky_relu_cast")]; tensor features_failure_2_conv_block_relu_cast = relu(x = features_failure_2_conv_block_add_cast)[name = tensor("features_failure_2_conv_block_relu_cast")]; tensor tongue_features_2_conv_block_relu_cast = relu(x = tongue_features_2_conv_block_add_cast)[name = tensor("tongue_features_2_conv_block_relu_cast")]; tensor feature_extraction_features_rgb_3_conv_block_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_3_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_3_conv_block_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_3_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor feature_extraction_features_rgb_3_conv_block_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_3_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_3_conv_block_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_3_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_3_conv_block_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_3_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_30_to_fp16 = const()[name = tensor("transpose_30_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(118080)))]; tensor const_15_to_fp16 = const()[name = tensor("const_15_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(155008)))]; tensor feature_extraction_features_rgb_3_conv_block_add_cast = conv(bias = const_15_to_fp16, dilations = feature_extraction_features_rgb_3_conv_block_convolutionx_dilations_0, groups = feature_extraction_features_rgb_3_conv_block_convolutionx_groups_0, pad = feature_extraction_features_rgb_3_conv_block_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_3_conv_block_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_3_conv_block_convolutionx_strides_0, weight = transpose_30_to_fp16, x = feature_extraction_features_rgb_2_conv_block_leaky_relu_cast)[name = tensor("feature_extraction_features_rgb_3_conv_block_add_cast")]; tensor features_failure_3_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_3_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_3_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_3_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor features_failure_3_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_3_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_3_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_3_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_3_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_3_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_32_to_fp16 = const()[name = tensor("transpose_32_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(155200)))]; tensor const_16_to_fp16 = const()[name = tensor("const_16_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(159872)))]; tensor features_failure_3_conv_block_add_cast = conv(bias = const_16_to_fp16, dilations = features_failure_3_conv_block_convolutionx_dilations_0, groups = features_failure_3_conv_block_convolutionx_groups_0, pad = features_failure_3_conv_block_convolutionx_pad_0, pad_type = features_failure_3_conv_block_convolutionx_pad_type_0, strides = features_failure_3_conv_block_convolutionx_strides_0, weight = transpose_32_to_fp16, x = features_failure_2_conv_block_relu_cast)[name = tensor("features_failure_3_conv_block_add_cast")]; tensor tongue_features_3_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_3_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_3_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_3_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor tongue_features_3_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_3_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_3_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_3_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_3_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_3_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_34_to_fp16 = const()[name = tensor("transpose_34_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(160000)))]; tensor const_17_to_fp16 = const()[name = tensor("const_17_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(164672)))]; tensor tongue_features_3_conv_block_add_cast = conv(bias = const_17_to_fp16, dilations = tongue_features_3_conv_block_convolutionx_dilations_0, groups = tongue_features_3_conv_block_convolutionx_groups_0, pad = tongue_features_3_conv_block_convolutionx_pad_0, pad_type = tongue_features_3_conv_block_convolutionx_pad_type_0, strides = tongue_features_3_conv_block_convolutionx_strides_0, weight = transpose_34_to_fp16, x = tongue_features_2_conv_block_relu_cast)[name = tensor("tongue_features_3_conv_block_add_cast")]; tensor feature_extraction_features_rgb_3_conv_block_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_3_conv_block_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_3_conv_block_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_3_conv_block_leaky_relu_alpha_0, x = feature_extraction_features_rgb_3_conv_block_add_cast)[name = tensor("feature_extraction_features_rgb_3_conv_block_leaky_relu_cast")]; tensor features_failure_3_conv_block_relu_cast = relu(x = features_failure_3_conv_block_add_cast)[name = tensor("features_failure_3_conv_block_relu_cast")]; tensor tongue_features_3_conv_block_relu_cast = relu(x = tongue_features_3_conv_block_add_cast)[name = tensor("tongue_features_3_conv_block_relu_cast")]; tensor feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_36_to_fp16 = const()[name = tensor("transpose_36_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(164800)))]; tensor const_18_to_fp16 = const()[name = tensor("const_18_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(183296)))]; tensor feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast = conv(bias = const_18_to_fp16, dilations = feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0, weight = transpose_36_to_fp16, x = feature_extraction_features_rgb_3_conv_block_leaky_relu_cast)[name = tensor("feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast")]; tensor features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_38_to_fp16 = const()[name = tensor("transpose_38_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(183424)))]; tensor const_19_to_fp16 = const()[name = tensor("const_19_to_fp16"), val = tensor([0.0183105469, -0.100769043, -0.0498352051, 0.0297698975])]; tensor features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast = conv(bias = const_19_to_fp16, dilations = features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0, groups = features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0, pad = features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0, pad_type = features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0, strides = features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0, weight = transpose_38_to_fp16, x = features_failure_3_conv_block_relu_cast)[name = tensor("features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast")]; tensor tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_40_to_fp16 = const()[name = tensor("transpose_40_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(184640)))]; tensor const_20_to_fp16 = const()[name = tensor("const_20_to_fp16"), val = tensor([-0.0990600586, 0.0911865234, 0.0588989258, 0.0985717773, -0.10168457, 0.240844727, 0.00102615356, 0.0112915039])]; tensor tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_add_cast = conv(bias = const_20_to_fp16, dilations = tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_dilations_0, groups = tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_groups_0, pad = tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_0, pad_type = tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_type_0, strides = tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_strides_0, weight = transpose_40_to_fp16, x = tongue_features_3_conv_block_relu_cast)[name = tensor("tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_add_cast")]; tensor feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_cast")]; tensor features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast = relu(x = features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast)[name = tensor("features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast")]; tensor tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_relu_cast = relu(x = tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_add_cast)[name = tensor("tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_4_densenet_1_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_4_densenet_1_concat_cast = concat(axis = feature_extraction_features_rgb_4_densenet_1_concat_axis, interleave = feature_extraction_features_rgb_4_densenet_1_concat_interleave_0, values = (feature_extraction_features_rgb_4_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_cast, feature_extraction_features_rgb_3_conv_block_leaky_relu_cast))[name = tensor("feature_extraction_features_rgb_4_densenet_1_concat_cast")]; tensor features_failure_4_densenet_1_concat_interleave_0 = const()[name = tensor("features_failure_4_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor features_failure_4_densenet_1_concat_cast = concat(axis = features_failure_4_densenet_1_concat_axis, interleave = features_failure_4_densenet_1_concat_interleave_0, values = (features_failure_4_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast, features_failure_3_conv_block_relu_cast))[name = tensor("features_failure_4_densenet_1_concat_cast")]; tensor tongue_features_4_densenet_1_concat_interleave_0 = const()[name = tensor("tongue_features_4_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_4_densenet_1_concat_cast = concat(axis = tongue_features_4_densenet_1_concat_axis, interleave = tongue_features_4_densenet_1_concat_interleave_0, values = (tongue_features_4_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_relu_cast, tongue_features_3_conv_block_relu_cast))[name = tensor("tongue_features_4_densenet_1_concat_cast")]; tensor feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_42_to_fp16 = const()[name = tensor("transpose_42_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(187008)))]; tensor const_21_to_fp16 = const()[name = tensor("const_21_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(210112)))]; tensor feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_add_cast = conv(bias = const_21_to_fp16, dilations = feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_strides_0, weight = transpose_42_to_fp16, x = feature_extraction_features_rgb_4_densenet_1_concat_cast)[name = tensor("feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_add_cast")]; tensor features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_44_to_fp16 = const()[name = tensor("transpose_44_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(210240)))]; tensor const_22_to_fp16 = const()[name = tensor("const_22_to_fp16"), val = tensor([0.00576019287, 0.0712280273, 0.0326538086, -0.0285949707])]; tensor features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast = conv(bias = const_22_to_fp16, dilations = features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0, groups = features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0, pad = features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0, pad_type = features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0, strides = features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0, weight = transpose_44_to_fp16, x = features_failure_4_densenet_1_concat_cast)[name = tensor("features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast")]; tensor tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_46_to_fp16 = const()[name = tensor("transpose_46_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(211776)))]; tensor const_23_to_fp16 = const()[name = tensor("const_23_to_fp16"), val = tensor([0.19128418, -0.000115990639, -0.0381469727, -0.166992188, 0.0272216797, -0.0473937988, -0.193237305, -0.0360717773])]; tensor tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_add_cast = conv(bias = const_23_to_fp16, dilations = tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_dilations_0, groups = tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_groups_0, pad = tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_0, pad_type = tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_type_0, strides = tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_strides_0, weight = transpose_46_to_fp16, x = tongue_features_4_densenet_1_concat_cast)[name = tensor("tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_add_cast")]; tensor feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_cast")]; tensor features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast = relu(x = features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast)[name = tensor("features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast")]; tensor tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_relu_cast = relu(x = tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_add_cast)[name = tensor("tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_4_densenet_3_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_4_densenet_3_concat_cast = concat(axis = feature_extraction_features_rgb_4_densenet_3_concat_axis, interleave = feature_extraction_features_rgb_4_densenet_3_concat_interleave_0, values = (feature_extraction_features_rgb_4_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_cast, feature_extraction_features_rgb_4_densenet_1_concat_cast))[name = tensor("feature_extraction_features_rgb_4_densenet_3_concat_cast")]; tensor features_failure_4_densenet_3_concat_interleave_0 = const()[name = tensor("features_failure_4_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor features_failure_4_densenet_3_concat_cast = concat(axis = features_failure_4_densenet_3_concat_axis, interleave = features_failure_4_densenet_3_concat_interleave_0, values = (features_failure_4_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast, features_failure_4_densenet_1_concat_cast))[name = tensor("features_failure_4_densenet_3_concat_cast")]; tensor tongue_features_4_densenet_3_concat_interleave_0 = const()[name = tensor("tongue_features_4_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_4_densenet_3_concat_cast = concat(axis = tongue_features_4_densenet_3_concat_axis, interleave = tongue_features_4_densenet_3_concat_interleave_0, values = (tongue_features_4_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_relu_cast, tongue_features_4_densenet_1_concat_cast))[name = tensor("tongue_features_4_densenet_3_concat_cast")]; tensor feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_48_to_fp16 = const()[name = tensor("transpose_48_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(215296)))]; tensor const_24_to_fp16 = const()[name = tensor("const_24_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(243008)))]; tensor feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_add_cast = conv(bias = const_24_to_fp16, dilations = feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_strides_0, weight = transpose_48_to_fp16, x = feature_extraction_features_rgb_4_densenet_3_concat_cast)[name = tensor("feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_add_cast")]; tensor features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_50_to_fp16 = const()[name = tensor("transpose_50_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(243136)))]; tensor const_25_to_fp16 = const()[name = tensor("const_25_to_fp16"), val = tensor([0.0216064453, 0.0643310547, 0.237915039, -0.0432128906])]; tensor features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast = conv(bias = const_25_to_fp16, dilations = features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0, groups = features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0, pad = features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0, pad_type = features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0, strides = features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0, weight = transpose_50_to_fp16, x = features_failure_4_densenet_3_concat_cast)[name = tensor("features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast")]; tensor tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_52_to_fp16 = const()[name = tensor("transpose_52_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(244928)))]; tensor const_26_to_fp16 = const()[name = tensor("const_26_to_fp16"), val = tensor([0.0758056641, 0.226806641, 0.150756836, 0.0596008301, 0.127441406, 0.258300781, -0.146484375, 0.155151367])]; tensor tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast = conv(bias = const_26_to_fp16, dilations = tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0, groups = tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0, pad = tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0, pad_type = tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0, strides = tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0, weight = transpose_52_to_fp16, x = tongue_features_4_densenet_3_concat_cast)[name = tensor("tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast")]; tensor feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_cast")]; tensor features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast = relu(x = features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast)[name = tensor("features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast")]; tensor tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast = relu(x = tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast)[name = tensor("tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_4_densenet_5_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_4_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_4_densenet_5_concat_cast = concat(axis = feature_extraction_features_rgb_4_densenet_5_concat_axis, interleave = feature_extraction_features_rgb_4_densenet_5_concat_interleave_0, values = (feature_extraction_features_rgb_4_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_cast, feature_extraction_features_rgb_4_densenet_3_concat_cast))[name = tensor("feature_extraction_features_rgb_4_densenet_5_concat_cast")]; tensor features_failure_4_densenet_5_concat_interleave_0 = const()[name = tensor("features_failure_4_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor features_failure_4_densenet_5_concat_cast = concat(axis = features_failure_4_densenet_5_concat_axis, interleave = features_failure_4_densenet_5_concat_interleave_0, values = (features_failure_4_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast, features_failure_4_densenet_3_concat_cast))[name = tensor("features_failure_4_densenet_5_concat_cast")]; tensor tongue_features_4_densenet_5_concat_interleave_0 = const()[name = tensor("tongue_features_4_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_4_densenet_5_concat_cast = concat(axis = tongue_features_4_densenet_5_concat_axis, interleave = tongue_features_4_densenet_5_concat_interleave_0, values = (tongue_features_4_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast, tongue_features_4_densenet_3_concat_cast))[name = tensor("tongue_features_4_densenet_5_concat_cast")]; tensor feature_extraction_features_rgb_5_conv_block_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_5_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_5_conv_block_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_5_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_5_conv_block_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_5_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_5_conv_block_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_5_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_5_conv_block_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_5_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_54_to_fp16 = const()[name = tensor("transpose_54_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(249600)))]; tensor const_27_to_fp16 = const()[name = tensor("const_27_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(378688)))]; tensor feature_extraction_features_rgb_5_conv_block_add_cast = conv(bias = const_27_to_fp16, dilations = feature_extraction_features_rgb_5_conv_block_convolutionx_dilations_0, groups = feature_extraction_features_rgb_5_conv_block_convolutionx_groups_0, pad = feature_extraction_features_rgb_5_conv_block_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_5_conv_block_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_5_conv_block_convolutionx_strides_0, weight = transpose_54_to_fp16, x = feature_extraction_features_rgb_4_densenet_5_concat_cast)[name = tensor("feature_extraction_features_rgb_5_conv_block_add_cast")]; tensor features_failure_5_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_5_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_5_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_5_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_5_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_5_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_5_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_5_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_5_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_5_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_56_to_fp16 = const()[name = tensor("transpose_56_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(378880)))]; tensor const_28_to_fp16 = const()[name = tensor("const_28_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(387008)))]; tensor features_failure_5_conv_block_add_cast = conv(bias = const_28_to_fp16, dilations = features_failure_5_conv_block_convolutionx_dilations_0, groups = features_failure_5_conv_block_convolutionx_groups_0, pad = features_failure_5_conv_block_convolutionx_pad_0, pad_type = features_failure_5_conv_block_convolutionx_pad_type_0, strides = features_failure_5_conv_block_convolutionx_strides_0, weight = transpose_56_to_fp16, x = features_failure_4_densenet_5_concat_cast)[name = tensor("features_failure_5_conv_block_add_cast")]; tensor tongue_features_5_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_5_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_5_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_5_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_5_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_5_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_5_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_5_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_5_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_5_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_58_to_fp16 = const()[name = tensor("transpose_58_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(387136)))]; tensor const_29_to_fp16 = const()[name = tensor("const_29_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(410240)))]; tensor tongue_features_5_conv_block_add_cast = conv(bias = const_29_to_fp16, dilations = tongue_features_5_conv_block_convolutionx_dilations_0, groups = tongue_features_5_conv_block_convolutionx_groups_0, pad = tongue_features_5_conv_block_convolutionx_pad_0, pad_type = tongue_features_5_conv_block_convolutionx_pad_type_0, strides = tongue_features_5_conv_block_convolutionx_strides_0, weight = transpose_58_to_fp16, x = tongue_features_4_densenet_5_concat_cast)[name = tensor("tongue_features_5_conv_block_add_cast")]; tensor feature_extraction_features_rgb_5_conv_block_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_5_conv_block_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_5_conv_block_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_5_conv_block_leaky_relu_alpha_0, x = feature_extraction_features_rgb_5_conv_block_add_cast)[name = tensor("feature_extraction_features_rgb_5_conv_block_leaky_relu_cast")]; tensor features_failure_5_conv_block_relu_cast = relu(x = features_failure_5_conv_block_add_cast)[name = tensor("features_failure_5_conv_block_relu_cast")]; tensor tongue_features_5_conv_block_relu_cast = relu(x = tongue_features_5_conv_block_add_cast)[name = tensor("tongue_features_5_conv_block_relu_cast")]; tensor feature_extraction_features_rgb_6_conv_block_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_6_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_6_conv_block_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_6_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor feature_extraction_features_rgb_6_conv_block_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_6_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_6_conv_block_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_6_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_6_conv_block_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_6_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_60_to_fp16 = const()[name = tensor("transpose_60_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(410368)))]; tensor const_30_to_fp16 = const()[name = tensor("const_30_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(484160)))]; tensor feature_extraction_features_rgb_6_conv_block_add_cast = conv(bias = const_30_to_fp16, dilations = feature_extraction_features_rgb_6_conv_block_convolutionx_dilations_0, groups = feature_extraction_features_rgb_6_conv_block_convolutionx_groups_0, pad = feature_extraction_features_rgb_6_conv_block_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_6_conv_block_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_6_conv_block_convolutionx_strides_0, weight = transpose_60_to_fp16, x = feature_extraction_features_rgb_5_conv_block_leaky_relu_cast)[name = tensor("feature_extraction_features_rgb_6_conv_block_add_cast")]; tensor features_failure_6_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_6_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_6_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_6_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor features_failure_6_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_6_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_6_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_6_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_6_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_6_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_62_to_fp16 = const()[name = tensor("transpose_62_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(484352)))]; tensor const_31_to_fp16 = const()[name = tensor("const_31_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(489024)))]; tensor features_failure_6_conv_block_add_cast = conv(bias = const_31_to_fp16, dilations = features_failure_6_conv_block_convolutionx_dilations_0, groups = features_failure_6_conv_block_convolutionx_groups_0, pad = features_failure_6_conv_block_convolutionx_pad_0, pad_type = features_failure_6_conv_block_convolutionx_pad_type_0, strides = features_failure_6_conv_block_convolutionx_strides_0, weight = transpose_62_to_fp16, x = features_failure_5_conv_block_relu_cast)[name = tensor("features_failure_6_conv_block_add_cast")]; tensor tongue_features_6_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_6_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_6_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_6_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor tongue_features_6_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_6_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_6_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_6_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_6_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_6_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_64_to_fp16 = const()[name = tensor("transpose_64_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(489152)))]; tensor const_32_to_fp16 = const()[name = tensor("const_32_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(507648)))]; tensor tongue_features_6_conv_block_add_cast = conv(bias = const_32_to_fp16, dilations = tongue_features_6_conv_block_convolutionx_dilations_0, groups = tongue_features_6_conv_block_convolutionx_groups_0, pad = tongue_features_6_conv_block_convolutionx_pad_0, pad_type = tongue_features_6_conv_block_convolutionx_pad_type_0, strides = tongue_features_6_conv_block_convolutionx_strides_0, weight = transpose_64_to_fp16, x = tongue_features_5_conv_block_relu_cast)[name = tensor("tongue_features_6_conv_block_add_cast")]; tensor feature_extraction_features_rgb_6_conv_block_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_6_conv_block_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_6_conv_block_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_6_conv_block_leaky_relu_alpha_0, x = feature_extraction_features_rgb_6_conv_block_add_cast)[name = tensor("feature_extraction_features_rgb_6_conv_block_leaky_relu_cast")]; tensor features_failure_6_conv_block_relu_cast = relu(x = features_failure_6_conv_block_add_cast)[name = tensor("features_failure_6_conv_block_relu_cast")]; tensor tongue_features_6_conv_block_relu_cast = relu(x = tongue_features_6_conv_block_add_cast)[name = tensor("tongue_features_6_conv_block_relu_cast")]; tensor feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_66_to_fp16 = const()[name = tensor("transpose_66_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(507776)))]; tensor const_33_to_fp16 = const()[name = tensor("const_33_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(526272)))]; tensor feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast = conv(bias = const_33_to_fp16, dilations = feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0, weight = transpose_66_to_fp16, x = feature_extraction_features_rgb_6_conv_block_leaky_relu_cast)[name = tensor("feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast")]; tensor features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_68_to_fp16 = const()[name = tensor("transpose_68_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(526400)))]; tensor const_34_to_fp16 = const()[name = tensor("const_34_to_fp16"), val = tensor([0.0238952637, -0.0506896973, 0.109375, 0.0685424805])]; tensor features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast = conv(bias = const_34_to_fp16, dilations = features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0, groups = features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0, pad = features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0, pad_type = features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0, strides = features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0, weight = transpose_68_to_fp16, x = features_failure_6_conv_block_relu_cast)[name = tensor("features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast")]; tensor tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_70_to_fp16 = const()[name = tensor("transpose_70_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(527616)))]; tensor const_35_to_fp16 = const()[name = tensor("const_35_to_fp16"), val = tensor([-0.0396728516, 0.253662109, -0.0404663086, -0.0449829102, -0.0213775635, -0.125610352, 0.100402832, 0.0751342773])]; tensor tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast = conv(bias = const_35_to_fp16, dilations = tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0, groups = tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0, pad = tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0, pad_type = tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0, strides = tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0, weight = transpose_70_to_fp16, x = tongue_features_6_conv_block_relu_cast)[name = tensor("tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast")]; tensor feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_cast")]; tensor features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast = relu(x = features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast)[name = tensor("features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast")]; tensor tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast = relu(x = tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast)[name = tensor("tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_7_densenet_1_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_7_densenet_1_concat_cast = concat(axis = feature_extraction_features_rgb_7_densenet_1_concat_axis, interleave = feature_extraction_features_rgb_7_densenet_1_concat_interleave_0, values = (feature_extraction_features_rgb_7_densenet_0_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_leaky_relu_cast, feature_extraction_features_rgb_6_conv_block_leaky_relu_cast))[name = tensor("feature_extraction_features_rgb_7_densenet_1_concat_cast")]; tensor features_failure_7_densenet_1_concat_interleave_0 = const()[name = tensor("features_failure_7_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor features_failure_7_densenet_1_concat_cast = concat(axis = features_failure_7_densenet_1_concat_axis, interleave = features_failure_7_densenet_1_concat_interleave_0, values = (features_failure_7_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast, features_failure_6_conv_block_relu_cast))[name = tensor("features_failure_7_densenet_1_concat_cast")]; tensor tongue_features_7_densenet_1_concat_interleave_0 = const()[name = tensor("tongue_features_7_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_7_densenet_1_concat_cast = concat(axis = tongue_features_7_densenet_1_concat_axis, interleave = tongue_features_7_densenet_1_concat_interleave_0, values = (tongue_features_7_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast, tongue_features_6_conv_block_relu_cast))[name = tensor("tongue_features_7_densenet_1_concat_cast")]; tensor feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_72_to_fp16 = const()[name = tensor("transpose_72_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(532288)))]; tensor const_36_to_fp16 = const()[name = tensor("const_36_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(555392)))]; tensor feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_add_cast = conv(bias = const_36_to_fp16, dilations = feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_strides_0, weight = transpose_72_to_fp16, x = feature_extraction_features_rgb_7_densenet_1_concat_cast)[name = tensor("feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_add_cast")]; tensor features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_74_to_fp16 = const()[name = tensor("transpose_74_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(555520)))]; tensor const_37_to_fp16 = const()[name = tensor("const_37_to_fp16"), val = tensor([0.0894165039, -0.0399780273, 0.0440979004, 0.0368041992])]; tensor features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast = conv(bias = const_37_to_fp16, dilations = features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0, groups = features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0, pad = features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0, pad_type = features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0, strides = features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0, weight = transpose_74_to_fp16, x = features_failure_7_densenet_1_concat_cast)[name = tensor("features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast")]; tensor tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_76_to_fp16 = const()[name = tensor("transpose_76_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(557056)))]; tensor const_38_to_fp16 = const()[name = tensor("const_38_to_fp16"), val = tensor([-0.00841522217, 0.00155735016, -0.0368347168, 0.0599975586, -0.216674805, 0.0556030273, 0.0855712891, -0.0441589355])]; tensor tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_add_cast = conv(bias = const_38_to_fp16, dilations = tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_dilations_0, groups = tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_groups_0, pad = tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_0, pad_type = tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_type_0, strides = tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_strides_0, weight = transpose_76_to_fp16, x = tongue_features_7_densenet_1_concat_cast)[name = tensor("tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_add_cast")]; tensor feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_cast")]; tensor features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast = relu(x = features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast)[name = tensor("features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast")]; tensor tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_relu_cast = relu(x = tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_add_cast)[name = tensor("tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_7_densenet_3_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_7_densenet_3_concat_cast = concat(axis = feature_extraction_features_rgb_7_densenet_3_concat_axis, interleave = feature_extraction_features_rgb_7_densenet_3_concat_interleave_0, values = (feature_extraction_features_rgb_7_densenet_2_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_leaky_relu_cast, feature_extraction_features_rgb_7_densenet_1_concat_cast))[name = tensor("feature_extraction_features_rgb_7_densenet_3_concat_cast")]; tensor features_failure_7_densenet_3_concat_interleave_0 = const()[name = tensor("features_failure_7_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor features_failure_7_densenet_3_concat_cast = concat(axis = features_failure_7_densenet_3_concat_axis, interleave = features_failure_7_densenet_3_concat_interleave_0, values = (features_failure_7_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast, features_failure_7_densenet_1_concat_cast))[name = tensor("features_failure_7_densenet_3_concat_cast")]; tensor tongue_features_7_densenet_3_concat_interleave_0 = const()[name = tensor("tongue_features_7_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_7_densenet_3_concat_cast = concat(axis = tongue_features_7_densenet_3_concat_axis, interleave = tongue_features_7_densenet_3_concat_interleave_0, values = (tongue_features_7_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_relu_cast, tongue_features_7_densenet_1_concat_cast))[name = tensor("tongue_features_7_densenet_3_concat_cast")]; tensor feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_78_to_fp16 = const()[name = tensor("transpose_78_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(562880)))]; tensor const_39_to_fp16 = const()[name = tensor("const_39_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(590592)))]; tensor feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_add_cast = conv(bias = const_39_to_fp16, dilations = feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_convolutionx_strides_0, weight = transpose_78_to_fp16, x = feature_extraction_features_rgb_7_densenet_3_concat_cast)[name = tensor("feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_add_cast")]; tensor features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_80_to_fp16 = const()[name = tensor("transpose_80_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(590720)))]; tensor const_40_to_fp16 = const()[name = tensor("const_40_to_fp16"), val = tensor([0.0492553711, 0.0434875488, 0.151489258, 0.0642700195])]; tensor features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast = conv(bias = const_40_to_fp16, dilations = features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0, groups = features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0, pad = features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0, pad_type = features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0, strides = features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0, weight = transpose_80_to_fp16, x = features_failure_7_densenet_3_concat_cast)[name = tensor("features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast")]; tensor tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_82_to_fp16 = const()[name = tensor("transpose_82_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(592512)))]; tensor const_41_to_fp16 = const()[name = tensor("const_41_to_fp16"), val = tensor([-0.0909423828, 0.00706481934, 0.185180664, 0.100097656, 0.0903320312, 0.296630859, -0.223754883, 0.183837891])]; tensor tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_add_cast = conv(bias = const_41_to_fp16, dilations = tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_dilations_0, groups = tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_groups_0, pad = tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_0, pad_type = tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_type_0, strides = tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_strides_0, weight = transpose_82_to_fp16, x = tongue_features_7_densenet_3_concat_cast)[name = tensor("tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_add_cast")]; tensor feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_cast")]; tensor features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast = relu(x = features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast)[name = tensor("features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast")]; tensor tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_relu_cast = relu(x = tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_add_cast)[name = tensor("tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_7_densenet_5_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_7_densenet_5_concat_cast = concat(axis = feature_extraction_features_rgb_7_densenet_5_concat_axis, interleave = feature_extraction_features_rgb_7_densenet_5_concat_interleave_0, values = (feature_extraction_features_rgb_7_densenet_4_conv_block_conv_3x3_96_16_variables_conv_3x3_96_16_variables_leaky_relu_cast, feature_extraction_features_rgb_7_densenet_3_concat_cast))[name = tensor("feature_extraction_features_rgb_7_densenet_5_concat_cast")]; tensor features_failure_7_densenet_5_concat_interleave_0 = const()[name = tensor("features_failure_7_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor features_failure_7_densenet_5_concat_cast = concat(axis = features_failure_7_densenet_5_concat_axis, interleave = features_failure_7_densenet_5_concat_interleave_0, values = (features_failure_7_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast, features_failure_7_densenet_3_concat_cast))[name = tensor("features_failure_7_densenet_5_concat_cast")]; tensor tongue_features_7_densenet_5_concat_interleave_0 = const()[name = tensor("tongue_features_7_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_7_densenet_5_concat_cast = concat(axis = tongue_features_7_densenet_5_concat_axis, interleave = tongue_features_7_densenet_5_concat_interleave_0, values = (tongue_features_7_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_relu_cast, tongue_features_7_densenet_3_concat_cast))[name = tensor("tongue_features_7_densenet_5_concat_cast")]; tensor feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_84_to_fp16 = const()[name = tensor("transpose_84_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(599488)))]; tensor const_42_to_fp16 = const()[name = tensor("const_42_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(631808)))]; tensor feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_add_cast = conv(bias = const_42_to_fp16, dilations = feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_convolutionx_strides_0, weight = transpose_84_to_fp16, x = feature_extraction_features_rgb_7_densenet_5_concat_cast)[name = tensor("feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_add_cast")]; tensor features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_86_to_fp16 = const()[name = tensor("transpose_86_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(631936)))]; tensor const_43_to_fp16 = const()[name = tensor("const_43_to_fp16"), val = tensor([0.0183105469, 0.10736084, 0.0420227051, 0.0765380859])]; tensor features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_add_cast = conv(bias = const_43_to_fp16, dilations = features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_dilations_0, groups = features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_groups_0, pad = features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_0, pad_type = features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_type_0, strides = features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_strides_0, weight = transpose_86_to_fp16, x = features_failure_7_densenet_5_concat_cast)[name = tensor("features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_add_cast")]; tensor tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_88_to_fp16 = const()[name = tensor("transpose_88_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(634048)))]; tensor const_44_to_fp16 = const()[name = tensor("const_44_to_fp16"), val = tensor([-0.0622253418, 0.0252990723, 0.0684814453, 0.0918579102, -0.00236320496, 0.0327453613, 0.0079498291, -0.0579833984])]; tensor tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_add_cast = conv(bias = const_44_to_fp16, dilations = tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_dilations_0, groups = tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_groups_0, pad = tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_0, pad_type = tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_type_0, strides = tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_strides_0, weight = transpose_88_to_fp16, x = tongue_features_7_densenet_5_concat_cast)[name = tensor("tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_add_cast")]; tensor feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_add_cast)[name = tensor("feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_leaky_relu_cast")]; tensor features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_relu_cast = relu(x = features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_add_cast)[name = tensor("features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_relu_cast")]; tensor tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_relu_cast = relu(x = tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_add_cast)[name = tensor("tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_7_densenet_7_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_7_densenet_7_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_7_densenet_7_concat_cast = concat(axis = feature_extraction_features_rgb_7_densenet_7_concat_axis, interleave = feature_extraction_features_rgb_7_densenet_7_concat_interleave_0, values = (feature_extraction_features_rgb_7_densenet_6_conv_block_conv_3x3_112_16_variables_conv_3x3_112_16_variables_leaky_relu_cast, feature_extraction_features_rgb_7_densenet_5_concat_cast))[name = tensor("feature_extraction_features_rgb_7_densenet_7_concat_cast")]; tensor features_failure_7_densenet_7_concat_interleave_0 = const()[name = tensor("features_failure_7_densenet_7_concat_interleave_0"), val = tensor(false)]; tensor features_failure_7_densenet_7_concat_cast = concat(axis = features_failure_7_densenet_7_concat_axis, interleave = features_failure_7_densenet_7_concat_interleave_0, values = (features_failure_7_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_relu_cast, features_failure_7_densenet_5_concat_cast))[name = tensor("features_failure_7_densenet_7_concat_cast")]; tensor tongue_features_7_densenet_7_concat_interleave_0 = const()[name = tensor("tongue_features_7_densenet_7_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_7_densenet_7_concat_cast = concat(axis = tongue_features_7_densenet_7_concat_axis, interleave = tongue_features_7_densenet_7_concat_interleave_0, values = (tongue_features_7_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_relu_cast, tongue_features_7_densenet_5_concat_cast))[name = tensor("tongue_features_7_densenet_7_concat_cast")]; tensor feature_extraction_features_rgb_8_conv_block_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_8_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_8_conv_block_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_8_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_8_conv_block_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_8_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_8_conv_block_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_8_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_8_conv_block_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_8_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_90_to_fp16 = const()[name = tensor("transpose_90_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(642176)))]; tensor const_45_to_fp16 = const()[name = tensor("const_45_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(789696)))]; tensor feature_extraction_features_rgb_8_conv_block_add_cast = conv(bias = const_45_to_fp16, dilations = feature_extraction_features_rgb_8_conv_block_convolutionx_dilations_0, groups = feature_extraction_features_rgb_8_conv_block_convolutionx_groups_0, pad = feature_extraction_features_rgb_8_conv_block_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_8_conv_block_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_8_conv_block_convolutionx_strides_0, weight = transpose_90_to_fp16, x = feature_extraction_features_rgb_7_densenet_7_concat_cast)[name = tensor("feature_extraction_features_rgb_8_conv_block_add_cast")]; tensor features_failure_8_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_8_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_8_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_8_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_8_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_8_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_8_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_8_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_8_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_8_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_92_to_fp16 = const()[name = tensor("transpose_92_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(789888)))]; tensor const_46_to_fp16 = const()[name = tensor("const_46_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(799168)))]; tensor features_failure_8_conv_block_add_cast = conv(bias = const_46_to_fp16, dilations = features_failure_8_conv_block_convolutionx_dilations_0, groups = features_failure_8_conv_block_convolutionx_groups_0, pad = features_failure_8_conv_block_convolutionx_pad_0, pad_type = features_failure_8_conv_block_convolutionx_pad_type_0, strides = features_failure_8_conv_block_convolutionx_strides_0, weight = transpose_92_to_fp16, x = features_failure_7_densenet_7_concat_cast)[name = tensor("features_failure_8_conv_block_add_cast")]; tensor tongue_features_8_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_8_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_8_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_8_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_8_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_8_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_8_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_8_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_8_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_8_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_94_to_fp16 = const()[name = tensor("transpose_94_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(799296)))]; tensor const_47_to_fp16 = const()[name = tensor("const_47_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(836224)))]; tensor tongue_features_8_conv_block_add_cast = conv(bias = const_47_to_fp16, dilations = tongue_features_8_conv_block_convolutionx_dilations_0, groups = tongue_features_8_conv_block_convolutionx_groups_0, pad = tongue_features_8_conv_block_convolutionx_pad_0, pad_type = tongue_features_8_conv_block_convolutionx_pad_type_0, strides = tongue_features_8_conv_block_convolutionx_strides_0, weight = transpose_94_to_fp16, x = tongue_features_7_densenet_7_concat_cast)[name = tensor("tongue_features_8_conv_block_add_cast")]; tensor feature_extraction_features_rgb_8_conv_block_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_8_conv_block_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_8_conv_block_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_8_conv_block_leaky_relu_alpha_0, x = feature_extraction_features_rgb_8_conv_block_add_cast)[name = tensor("feature_extraction_features_rgb_8_conv_block_leaky_relu_cast")]; tensor features_failure_8_conv_block_relu_cast = relu(x = features_failure_8_conv_block_add_cast)[name = tensor("features_failure_8_conv_block_relu_cast")]; tensor tongue_features_8_conv_block_relu_cast = relu(x = tongue_features_8_conv_block_add_cast)[name = tensor("tongue_features_8_conv_block_relu_cast")]; tensor feature_extraction_features_rgb_9_conv_block_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_9_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_9_conv_block_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_9_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor feature_extraction_features_rgb_9_conv_block_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_9_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_9_conv_block_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_9_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_9_conv_block_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_9_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_96_to_fp16 = const()[name = tensor("transpose_96_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(836352)))]; tensor const_48_to_fp16 = const()[name = tensor("const_48_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(910144)))]; tensor feature_extraction_features_rgb_9_conv_block_add_cast = conv(bias = const_48_to_fp16, dilations = feature_extraction_features_rgb_9_conv_block_convolutionx_dilations_0, groups = feature_extraction_features_rgb_9_conv_block_convolutionx_groups_0, pad = feature_extraction_features_rgb_9_conv_block_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_9_conv_block_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_9_conv_block_convolutionx_strides_0, weight = transpose_96_to_fp16, x = feature_extraction_features_rgb_8_conv_block_leaky_relu_cast)[name = tensor("feature_extraction_features_rgb_9_conv_block_add_cast")]; tensor features_failure_9_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_9_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_9_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_9_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor features_failure_9_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_9_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_9_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_9_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_9_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_9_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_98_to_fp16 = const()[name = tensor("transpose_98_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(910336)))]; tensor const_49_to_fp16 = const()[name = tensor("const_49_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(915008)))]; tensor features_failure_9_conv_block_add_cast = conv(bias = const_49_to_fp16, dilations = features_failure_9_conv_block_convolutionx_dilations_0, groups = features_failure_9_conv_block_convolutionx_groups_0, pad = features_failure_9_conv_block_convolutionx_pad_0, pad_type = features_failure_9_conv_block_convolutionx_pad_type_0, strides = features_failure_9_conv_block_convolutionx_strides_0, weight = transpose_98_to_fp16, x = features_failure_8_conv_block_relu_cast)[name = tensor("features_failure_9_conv_block_add_cast")]; tensor tongue_features_9_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_9_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_9_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_9_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor tongue_features_9_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_9_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_9_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_9_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_9_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_9_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_100_to_fp16 = const()[name = tensor("transpose_100_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(915136)))]; tensor const_50_to_fp16 = const()[name = tensor("const_50_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(933632)))]; tensor tongue_features_9_conv_block_add_cast = conv(bias = const_50_to_fp16, dilations = tongue_features_9_conv_block_convolutionx_dilations_0, groups = tongue_features_9_conv_block_convolutionx_groups_0, pad = tongue_features_9_conv_block_convolutionx_pad_0, pad_type = tongue_features_9_conv_block_convolutionx_pad_type_0, strides = tongue_features_9_conv_block_convolutionx_strides_0, weight = transpose_100_to_fp16, x = tongue_features_8_conv_block_relu_cast)[name = tensor("tongue_features_9_conv_block_add_cast")]; tensor feature_extraction_features_rgb_9_conv_block_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_9_conv_block_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_9_conv_block_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_9_conv_block_leaky_relu_alpha_0, x = feature_extraction_features_rgb_9_conv_block_add_cast)[name = tensor("feature_extraction_features_rgb_9_conv_block_leaky_relu_cast")]; tensor features_failure_9_conv_block_relu_cast = relu(x = features_failure_9_conv_block_add_cast)[name = tensor("features_failure_9_conv_block_relu_cast")]; tensor tongue_features_9_conv_block_relu_cast = relu(x = tongue_features_9_conv_block_add_cast)[name = tensor("tongue_features_9_conv_block_relu_cast")]; tensor feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_102_to_fp16 = const()[name = tensor("transpose_102_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(933760)))]; tensor const_51_to_fp16 = const()[name = tensor("const_51_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(970688)))]; tensor feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_add_cast = conv(bias = const_51_to_fp16, dilations = feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_convolutionx_strides_0, weight = transpose_102_to_fp16, x = feature_extraction_features_rgb_9_conv_block_leaky_relu_cast)[name = tensor("feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_add_cast")]; tensor features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_104_to_fp16 = const()[name = tensor("transpose_104_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(970816)))]; tensor const_52_to_fp16 = const()[name = tensor("const_52_to_fp16"), val = tensor([-0.0519714355, 0.000769615173, -0.0885009766, 0.00349998474])]; tensor features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast = conv(bias = const_52_to_fp16, dilations = features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_dilations_0, groups = features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_groups_0, pad = features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_0, pad_type = features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_pad_type_0, strides = features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_convolutionx_strides_0, weight = transpose_104_to_fp16, x = features_failure_9_conv_block_relu_cast)[name = tensor("features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast")]; tensor tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_106_to_fp16 = const()[name = tensor("transpose_106_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(972032)))]; tensor const_53_to_fp16 = const()[name = tensor("const_53_to_fp16"), val = tensor([-0.0914916992, -0.0354003906, -0.0770874023, 0.301269531, 0.320556641, -0.482666016, -0.0717163086, -0.47265625])]; tensor tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast = conv(bias = const_53_to_fp16, dilations = tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0, groups = tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0, pad = tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0, pad_type = tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0, strides = tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0, weight = transpose_106_to_fp16, x = tongue_features_9_conv_block_relu_cast)[name = tensor("tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast")]; tensor feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_add_cast)[name = tensor("feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_leaky_relu_cast")]; tensor features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast = relu(x = features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_add_cast)[name = tensor("features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast")]; tensor tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast = relu(x = tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast)[name = tensor("tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_10_densenet_1_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_10_densenet_1_concat_cast = concat(axis = feature_extraction_features_rgb_10_densenet_1_concat_axis, interleave = feature_extraction_features_rgb_10_densenet_1_concat_interleave_0, values = (feature_extraction_features_rgb_10_densenet_0_conv_block_conv_3x3_64_32_variables_conv_3x3_64_32_variables_leaky_relu_cast, feature_extraction_features_rgb_9_conv_block_leaky_relu_cast))[name = tensor("feature_extraction_features_rgb_10_densenet_1_concat_cast")]; tensor features_failure_10_densenet_1_concat_interleave_0 = const()[name = tensor("features_failure_10_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor features_failure_10_densenet_1_concat_cast = concat(axis = features_failure_10_densenet_1_concat_axis, interleave = features_failure_10_densenet_1_concat_interleave_0, values = (features_failure_10_densenet_0_conv_block_conv_3x3_16_4_variables_conv_3x3_16_4_variables_relu_cast, features_failure_9_conv_block_relu_cast))[name = tensor("features_failure_10_densenet_1_concat_cast")]; tensor tongue_features_10_densenet_1_concat_interleave_0 = const()[name = tensor("tongue_features_10_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_10_densenet_1_concat_cast = concat(axis = tongue_features_10_densenet_1_concat_axis, interleave = tongue_features_10_densenet_1_concat_interleave_0, values = (tongue_features_10_densenet_0_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast, tongue_features_9_conv_block_relu_cast))[name = tensor("tongue_features_10_densenet_1_concat_cast")]; tensor feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_108_to_fp16 = const()[name = tensor("transpose_108_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(976704)))]; tensor const_54_to_fp16 = const()[name = tensor("const_54_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1032064)))]; tensor feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_add_cast = conv(bias = const_54_to_fp16, dilations = feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_convolutionx_strides_0, weight = transpose_108_to_fp16, x = feature_extraction_features_rgb_10_densenet_1_concat_cast)[name = tensor("feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_add_cast")]; tensor features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_110_to_fp16 = const()[name = tensor("transpose_110_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1032192)))]; tensor const_55_to_fp16 = const()[name = tensor("const_55_to_fp16"), val = tensor([-0.00043797493, -0.0191040039, -0.116882324, 0.000373601913])]; tensor features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast = conv(bias = const_55_to_fp16, dilations = features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_dilations_0, groups = features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_groups_0, pad = features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_0, pad_type = features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_pad_type_0, strides = features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_convolutionx_strides_0, weight = transpose_110_to_fp16, x = features_failure_10_densenet_1_concat_cast)[name = tensor("features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast")]; tensor tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_112_to_fp16 = const()[name = tensor("transpose_112_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1033728)))]; tensor const_56_to_fp16 = const()[name = tensor("const_56_to_fp16"), val = tensor([0.226074219, -0.112487793, 0.0551452637, 0.228271484, -0.4765625, -0.235961914, -0.137695312, -0.0638427734])]; tensor tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_add_cast = conv(bias = const_56_to_fp16, dilations = tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_dilations_0, groups = tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_groups_0, pad = tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_0, pad_type = tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_type_0, strides = tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_strides_0, weight = transpose_112_to_fp16, x = tongue_features_10_densenet_1_concat_cast)[name = tensor("tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_add_cast")]; tensor feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_add_cast)[name = tensor("feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_leaky_relu_cast")]; tensor features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast = relu(x = features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_add_cast)[name = tensor("features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast")]; tensor tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_relu_cast = relu(x = tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_add_cast)[name = tensor("tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_10_densenet_3_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_10_densenet_3_concat_cast = concat(axis = feature_extraction_features_rgb_10_densenet_3_concat_axis, interleave = feature_extraction_features_rgb_10_densenet_3_concat_interleave_0, values = (feature_extraction_features_rgb_10_densenet_2_conv_block_conv_3x3_96_32_variables_conv_3x3_96_32_variables_leaky_relu_cast, feature_extraction_features_rgb_10_densenet_1_concat_cast))[name = tensor("feature_extraction_features_rgb_10_densenet_3_concat_cast")]; tensor features_failure_10_densenet_3_concat_interleave_0 = const()[name = tensor("features_failure_10_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor features_failure_10_densenet_3_concat_cast = concat(axis = features_failure_10_densenet_3_concat_axis, interleave = features_failure_10_densenet_3_concat_interleave_0, values = (features_failure_10_densenet_2_conv_block_conv_3x3_20_4_variables_conv_3x3_20_4_variables_relu_cast, features_failure_10_densenet_1_concat_cast))[name = tensor("features_failure_10_densenet_3_concat_cast")]; tensor tongue_features_10_densenet_3_concat_interleave_0 = const()[name = tensor("tongue_features_10_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_10_densenet_3_concat_cast = concat(axis = tongue_features_10_densenet_3_concat_axis, interleave = tongue_features_10_densenet_3_concat_interleave_0, values = (tongue_features_10_densenet_2_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_relu_cast, tongue_features_10_densenet_1_concat_cast))[name = tensor("tongue_features_10_densenet_3_concat_cast")]; tensor feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_114_to_fp16 = const()[name = tensor("transpose_114_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1039552)))]; tensor const_57_to_fp16 = const()[name = tensor("const_57_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1113344)))]; tensor feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_add_cast = conv(bias = const_57_to_fp16, dilations = feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_strides_0, weight = transpose_114_to_fp16, x = feature_extraction_features_rgb_10_densenet_3_concat_cast)[name = tensor("feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_add_cast")]; tensor features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_116_to_fp16 = const()[name = tensor("transpose_116_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1113472)))]; tensor const_58_to_fp16 = const()[name = tensor("const_58_to_fp16"), val = tensor([-0.00647354126, 0.151977539, -0.0861816406, 0.00884246826])]; tensor features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast = conv(bias = const_58_to_fp16, dilations = features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_dilations_0, groups = features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_groups_0, pad = features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_0, pad_type = features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_pad_type_0, strides = features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_convolutionx_strides_0, weight = transpose_116_to_fp16, x = features_failure_10_densenet_3_concat_cast)[name = tensor("features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast")]; tensor tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_118_to_fp16 = const()[name = tensor("transpose_118_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1115264)))]; tensor const_59_to_fp16 = const()[name = tensor("const_59_to_fp16"), val = tensor([0.0356445312, 0.166137695, 0.15234375, 0.102050781, -0.207519531, 0.0946655273, 0.11505127, -0.359130859])]; tensor tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_add_cast = conv(bias = const_59_to_fp16, dilations = tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_dilations_0, groups = tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_groups_0, pad = tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_0, pad_type = tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_pad_type_0, strides = tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_convolutionx_strides_0, weight = transpose_118_to_fp16, x = tongue_features_10_densenet_3_concat_cast)[name = tensor("tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_add_cast")]; tensor feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_add_cast)[name = tensor("feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_cast")]; tensor features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast = relu(x = features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_add_cast)[name = tensor("features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast")]; tensor tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_relu_cast = relu(x = tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_add_cast)[name = tensor("tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_10_densenet_5_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_10_densenet_5_concat_cast = concat(axis = feature_extraction_features_rgb_10_densenet_5_concat_axis, interleave = feature_extraction_features_rgb_10_densenet_5_concat_interleave_0, values = (feature_extraction_features_rgb_10_densenet_4_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_cast, feature_extraction_features_rgb_10_densenet_3_concat_cast))[name = tensor("feature_extraction_features_rgb_10_densenet_5_concat_cast")]; tensor features_failure_10_densenet_5_concat_interleave_0 = const()[name = tensor("features_failure_10_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor features_failure_10_densenet_5_concat_cast = concat(axis = features_failure_10_densenet_5_concat_axis, interleave = features_failure_10_densenet_5_concat_interleave_0, values = (features_failure_10_densenet_4_conv_block_conv_3x3_24_4_variables_conv_3x3_24_4_variables_relu_cast, features_failure_10_densenet_3_concat_cast))[name = tensor("features_failure_10_densenet_5_concat_cast")]; tensor tongue_features_10_densenet_5_concat_interleave_0 = const()[name = tensor("tongue_features_10_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_10_densenet_5_concat_cast = concat(axis = tongue_features_10_densenet_5_concat_axis, interleave = tongue_features_10_densenet_5_concat_interleave_0, values = (tongue_features_10_densenet_4_conv_block_conv_3x3_48_8_variables_conv_3x3_48_8_variables_relu_cast, tongue_features_10_densenet_3_concat_cast))[name = tensor("tongue_features_10_densenet_5_concat_cast")]; tensor feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_120_to_fp16 = const()[name = tensor("transpose_120_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1122240)))]; tensor const_60_to_fp16 = const()[name = tensor("const_60_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1214464)))]; tensor feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_add_cast = conv(bias = const_60_to_fp16, dilations = feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_strides_0, weight = transpose_120_to_fp16, x = feature_extraction_features_rgb_10_densenet_5_concat_cast)[name = tensor("feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_add_cast")]; tensor features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_122_to_fp16 = const()[name = tensor("transpose_122_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1214592)))]; tensor const_61_to_fp16 = const()[name = tensor("const_61_to_fp16"), val = tensor([0.0365600586, 0.123474121, 0.0838012695, 0.0268249512])]; tensor features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_add_cast = conv(bias = const_61_to_fp16, dilations = features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_dilations_0, groups = features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_groups_0, pad = features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_0, pad_type = features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_pad_type_0, strides = features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_convolutionx_strides_0, weight = transpose_122_to_fp16, x = features_failure_10_densenet_5_concat_cast)[name = tensor("features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_add_cast")]; tensor tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_124_to_fp16 = const()[name = tensor("transpose_124_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1216704)))]; tensor const_62_to_fp16 = const()[name = tensor("const_62_to_fp16"), val = tensor([-0.307861328, -0.408203125, 0.279296875, -0.170043945, 0.198608398, -0.306640625, -0.316162109, 0.03074646])]; tensor tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_add_cast = conv(bias = const_62_to_fp16, dilations = tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_dilations_0, groups = tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_groups_0, pad = tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_0, pad_type = tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_pad_type_0, strides = tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_convolutionx_strides_0, weight = transpose_124_to_fp16, x = tongue_features_10_densenet_5_concat_cast)[name = tensor("tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_add_cast")]; tensor feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_add_cast)[name = tensor("feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_cast")]; tensor features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_relu_cast = relu(x = features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_add_cast)[name = tensor("features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_relu_cast")]; tensor tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_relu_cast = relu(x = tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_add_cast)[name = tensor("tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_relu_cast")]; tensor feature_extraction_features_rgb_10_densenet_7_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_10_densenet_7_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_10_densenet_7_concat_cast = concat(axis = feature_extraction_features_rgb_10_densenet_7_concat_axis, interleave = feature_extraction_features_rgb_10_densenet_7_concat_interleave_0, values = (feature_extraction_features_rgb_10_densenet_6_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_cast, feature_extraction_features_rgb_10_densenet_5_concat_cast))[name = tensor("feature_extraction_features_rgb_10_densenet_7_concat_cast")]; tensor features_failure_10_densenet_7_concat_interleave_0 = const()[name = tensor("features_failure_10_densenet_7_concat_interleave_0"), val = tensor(false)]; tensor features_failure_10_densenet_7_concat_cast = concat(axis = features_failure_10_densenet_7_concat_axis, interleave = features_failure_10_densenet_7_concat_interleave_0, values = (features_failure_10_densenet_6_conv_block_conv_3x3_28_4_variables_conv_3x3_28_4_variables_relu_cast, features_failure_10_densenet_5_concat_cast))[name = tensor("features_failure_10_densenet_7_concat_cast")]; tensor tongue_features_10_densenet_7_concat_interleave_0 = const()[name = tensor("tongue_features_10_densenet_7_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_10_densenet_7_concat_cast = concat(axis = tongue_features_10_densenet_7_concat_axis, interleave = tongue_features_10_densenet_7_concat_interleave_0, values = (tongue_features_10_densenet_6_conv_block_conv_3x3_56_8_variables_conv_3x3_56_8_variables_relu_cast, tongue_features_10_densenet_5_concat_cast))[name = tensor("tongue_features_10_densenet_7_concat_cast")]; tensor feature_extraction_features_rgb_11_conv_block_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_11_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_11_conv_block_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_11_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_11_conv_block_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_11_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_11_conv_block_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_11_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_11_conv_block_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_11_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_126_to_fp16 = const()[name = tensor("transpose_126_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1224832)))]; tensor const_63_to_fp16 = const()[name = tensor("const_63_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1446080)))]; tensor feature_extraction_features_rgb_11_conv_block_add_cast = conv(bias = const_63_to_fp16, dilations = feature_extraction_features_rgb_11_conv_block_convolutionx_dilations_0, groups = feature_extraction_features_rgb_11_conv_block_convolutionx_groups_0, pad = feature_extraction_features_rgb_11_conv_block_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_11_conv_block_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_11_conv_block_convolutionx_strides_0, weight = transpose_126_to_fp16, x = feature_extraction_features_rgb_10_densenet_7_concat_cast)[name = tensor("feature_extraction_features_rgb_11_conv_block_add_cast")]; tensor features_failure_11_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_11_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_11_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_11_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_11_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_11_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_11_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_11_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_11_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_11_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_128_to_fp16 = const()[name = tensor("transpose_128_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1446272)))]; tensor const_64_to_fp16 = const()[name = tensor("const_64_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1455552)))]; tensor features_failure_11_conv_block_add_cast = conv(bias = const_64_to_fp16, dilations = features_failure_11_conv_block_convolutionx_dilations_0, groups = features_failure_11_conv_block_convolutionx_groups_0, pad = features_failure_11_conv_block_convolutionx_pad_0, pad_type = features_failure_11_conv_block_convolutionx_pad_type_0, strides = features_failure_11_conv_block_convolutionx_strides_0, weight = transpose_128_to_fp16, x = features_failure_10_densenet_7_concat_cast)[name = tensor("features_failure_11_conv_block_add_cast")]; tensor tongue_features_11_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_11_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_11_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_11_conv_block_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_11_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_11_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_11_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_11_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_11_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_11_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_130_to_fp16 = const()[name = tensor("transpose_130_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1455680)))]; tensor const_65_to_fp16 = const()[name = tensor("const_65_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1492608)))]; tensor tongue_features_11_conv_block_add_cast = conv(bias = const_65_to_fp16, dilations = tongue_features_11_conv_block_convolutionx_dilations_0, groups = tongue_features_11_conv_block_convolutionx_groups_0, pad = tongue_features_11_conv_block_convolutionx_pad_0, pad_type = tongue_features_11_conv_block_convolutionx_pad_type_0, strides = tongue_features_11_conv_block_convolutionx_strides_0, weight = transpose_130_to_fp16, x = tongue_features_10_densenet_7_concat_cast)[name = tensor("tongue_features_11_conv_block_add_cast")]; tensor feature_extraction_features_rgb_11_conv_block_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_11_conv_block_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_11_conv_block_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_11_conv_block_leaky_relu_alpha_0, x = feature_extraction_features_rgb_11_conv_block_add_cast)[name = tensor("feature_extraction_features_rgb_11_conv_block_leaky_relu_cast")]; tensor features_failure_11_conv_block_relu_cast = relu(x = features_failure_11_conv_block_add_cast)[name = tensor("features_failure_11_conv_block_relu_cast")]; tensor tongue_features_11_conv_block_relu_cast = relu(x = tongue_features_11_conv_block_add_cast)[name = tensor("tongue_features_11_conv_block_relu_cast")]; tensor feature_extraction_features_rgb_12_conv_block_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_12_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_12_conv_block_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_12_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor feature_extraction_features_rgb_12_conv_block_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_12_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_12_conv_block_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_12_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_12_conv_block_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_12_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_132_to_fp16 = const()[name = tensor("transpose_132_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1492736)))]; tensor const_66_to_fp16 = const()[name = tensor("const_66_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1640256)))]; tensor feature_extraction_features_rgb_12_conv_block_add_cast = conv(bias = const_66_to_fp16, dilations = feature_extraction_features_rgb_12_conv_block_convolutionx_dilations_0, groups = feature_extraction_features_rgb_12_conv_block_convolutionx_groups_0, pad = feature_extraction_features_rgb_12_conv_block_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_12_conv_block_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_12_conv_block_convolutionx_strides_0, weight = transpose_132_to_fp16, x = feature_extraction_features_rgb_11_conv_block_leaky_relu_cast)[name = tensor("feature_extraction_features_rgb_12_conv_block_add_cast")]; tensor features_failure_12_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_12_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_12_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_12_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor features_failure_12_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_12_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_12_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_12_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_12_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_12_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_134_to_fp16 = const()[name = tensor("transpose_134_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1640576)))]; tensor const_67_to_fp16 = const()[name = tensor("const_67_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1645248)))]; tensor features_failure_12_conv_block_add_cast = conv(bias = const_67_to_fp16, dilations = features_failure_12_conv_block_convolutionx_dilations_0, groups = features_failure_12_conv_block_convolutionx_groups_0, pad = features_failure_12_conv_block_convolutionx_pad_0, pad_type = features_failure_12_conv_block_convolutionx_pad_type_0, strides = features_failure_12_conv_block_convolutionx_strides_0, weight = transpose_134_to_fp16, x = features_failure_11_conv_block_relu_cast)[name = tensor("features_failure_12_conv_block_add_cast")]; tensor tongue_features_12_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_12_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_12_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_12_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor tongue_features_12_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_12_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_12_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_12_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_12_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_12_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_136_to_fp16 = const()[name = tensor("transpose_136_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1645376)))]; tensor const_68_to_fp16 = const()[name = tensor("const_68_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1663872)))]; tensor tongue_features_12_conv_block_add_cast = conv(bias = const_68_to_fp16, dilations = tongue_features_12_conv_block_convolutionx_dilations_0, groups = tongue_features_12_conv_block_convolutionx_groups_0, pad = tongue_features_12_conv_block_convolutionx_pad_0, pad_type = tongue_features_12_conv_block_convolutionx_pad_type_0, strides = tongue_features_12_conv_block_convolutionx_strides_0, weight = transpose_136_to_fp16, x = tongue_features_11_conv_block_relu_cast)[name = tensor("tongue_features_12_conv_block_add_cast")]; tensor feature_extraction_features_rgb_12_conv_block_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_12_conv_block_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_12_conv_block_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_12_conv_block_leaky_relu_alpha_0, x = feature_extraction_features_rgb_12_conv_block_add_cast)[name = tensor("feature_extraction_features_rgb_12_conv_block_leaky_relu_cast")]; tensor features_failure_12_conv_block_relu_cast = relu(x = features_failure_12_conv_block_add_cast)[name = tensor("features_failure_12_conv_block_relu_cast")]; tensor tongue_features_12_conv_block_relu_cast = relu(x = tongue_features_12_conv_block_add_cast)[name = tensor("tongue_features_12_conv_block_relu_cast")]; tensor feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_138_to_fp16 = const()[name = tensor("transpose_138_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1664000)))]; tensor const_69_to_fp16 = const()[name = tensor("const_69_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1737792)))]; tensor feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_add_cast = conv(bias = const_69_to_fp16, dilations = feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_convolutionx_strides_0, weight = transpose_138_to_fp16, x = feature_extraction_features_rgb_12_conv_block_leaky_relu_cast)[name = tensor("feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_add_cast")]; tensor features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_140_to_fp16 = const()[name = tensor("transpose_140_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1737920)))]; tensor const_70_to_fp16 = const()[name = tensor("const_70_to_fp16"), val = tensor([0.206542969, 0.300048828, -0.0612792969, -0.134399414, 0.0409545898, -0.0999755859, 0.112976074, 0.125854492])]; tensor features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_add_cast = conv(bias = const_70_to_fp16, dilations = features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_dilations_0, groups = features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_groups_0, pad = features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_0, pad_type = features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_pad_type_0, strides = features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_convolutionx_strides_0, weight = transpose_140_to_fp16, x = features_failure_12_conv_block_relu_cast)[name = tensor("features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_add_cast")]; tensor tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_142_to_fp16 = const()[name = tensor("transpose_142_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1740288)))]; tensor const_71_to_fp16 = const()[name = tensor("const_71_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1749568)))]; tensor tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_add_cast = conv(bias = const_71_to_fp16, dilations = tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_dilations_0, groups = tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_groups_0, pad = tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_0, pad_type = tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_pad_type_0, strides = tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_convolutionx_strides_0, weight = transpose_142_to_fp16, x = tongue_features_12_conv_block_relu_cast)[name = tensor("tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_add_cast")]; tensor feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_add_cast)[name = tensor("feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_cast")]; tensor features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_relu_cast = relu(x = features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_add_cast)[name = tensor("features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_relu_cast")]; tensor tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_relu_cast = relu(x = tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_add_cast)[name = tensor("tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_relu_cast")]; tensor feature_extraction_features_rgb_13_densenet_1_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_13_densenet_1_concat_cast = concat(axis = feature_extraction_features_rgb_13_densenet_1_concat_axis, interleave = feature_extraction_features_rgb_13_densenet_1_concat_interleave_0, values = (feature_extraction_features_rgb_13_densenet_0_conv_block_conv_3x3_128_32_variables_conv_3x3_128_32_variables_leaky_relu_cast, feature_extraction_features_rgb_12_conv_block_leaky_relu_cast))[name = tensor("feature_extraction_features_rgb_13_densenet_1_concat_cast")]; tensor features_failure_13_densenet_1_concat_interleave_0 = const()[name = tensor("features_failure_13_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor features_failure_13_densenet_1_concat_cast = concat(axis = features_failure_13_densenet_1_concat_axis, interleave = features_failure_13_densenet_1_concat_interleave_0, values = (features_failure_13_densenet_0_conv_block_conv_3x3_16_8_variables_conv_3x3_16_8_variables_relu_cast, features_failure_12_conv_block_relu_cast))[name = tensor("features_failure_13_densenet_1_concat_cast")]; tensor tongue_features_13_densenet_1_concat_interleave_0 = const()[name = tensor("tongue_features_13_densenet_1_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_13_densenet_1_concat_cast = concat(axis = tongue_features_13_densenet_1_concat_axis, interleave = tongue_features_13_densenet_1_concat_interleave_0, values = (tongue_features_13_densenet_0_conv_block_conv_3x3_32_16_variables_conv_3x3_32_16_variables_relu_cast, tongue_features_12_conv_block_relu_cast))[name = tensor("tongue_features_13_densenet_1_concat_cast")]; tensor feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_144_to_fp16 = const()[name = tensor("transpose_144_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1749696)))]; tensor const_72_to_fp16 = const()[name = tensor("const_72_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1841920)))]; tensor feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_add_cast = conv(bias = const_72_to_fp16, dilations = feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_convolutionx_strides_0, weight = transpose_144_to_fp16, x = feature_extraction_features_rgb_13_densenet_1_concat_cast)[name = tensor("feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_add_cast")]; tensor features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_146_to_fp16 = const()[name = tensor("transpose_146_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1842048)))]; tensor const_73_to_fp16 = const()[name = tensor("const_73_to_fp16"), val = tensor([-0.0258789062, 0.140991211, 0.155883789, -0.397949219, -0.14831543, -0.281982422, 0.136474609, 0.173217773])]; tensor features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_add_cast = conv(bias = const_73_to_fp16, dilations = features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_dilations_0, groups = features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_groups_0, pad = features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_0, pad_type = features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_pad_type_0, strides = features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_convolutionx_strides_0, weight = transpose_146_to_fp16, x = features_failure_13_densenet_1_concat_cast)[name = tensor("features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_add_cast")]; tensor tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_148_to_fp16 = const()[name = tensor("transpose_148_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1845568)))]; tensor const_74_to_fp16 = const()[name = tensor("const_74_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1859456)))]; tensor tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_add_cast = conv(bias = const_74_to_fp16, dilations = tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_dilations_0, groups = tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_groups_0, pad = tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_0, pad_type = tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_pad_type_0, strides = tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_convolutionx_strides_0, weight = transpose_148_to_fp16, x = tongue_features_13_densenet_1_concat_cast)[name = tensor("tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_add_cast")]; tensor feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_add_cast)[name = tensor("feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_cast")]; tensor features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_relu_cast = relu(x = features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_add_cast)[name = tensor("features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_relu_cast")]; tensor tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_relu_cast = relu(x = tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_add_cast)[name = tensor("tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_relu_cast")]; tensor feature_extraction_features_rgb_13_densenet_3_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_13_densenet_3_concat_cast = concat(axis = feature_extraction_features_rgb_13_densenet_3_concat_axis, interleave = feature_extraction_features_rgb_13_densenet_3_concat_interleave_0, values = (feature_extraction_features_rgb_13_densenet_2_conv_block_conv_3x3_160_32_variables_conv_3x3_160_32_variables_leaky_relu_cast, feature_extraction_features_rgb_13_densenet_1_concat_cast))[name = tensor("feature_extraction_features_rgb_13_densenet_3_concat_cast")]; tensor features_failure_13_densenet_3_concat_interleave_0 = const()[name = tensor("features_failure_13_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor features_failure_13_densenet_3_concat_cast = concat(axis = features_failure_13_densenet_3_concat_axis, interleave = features_failure_13_densenet_3_concat_interleave_0, values = (features_failure_13_densenet_2_conv_block_conv_3x3_24_8_variables_conv_3x3_24_8_variables_relu_cast, features_failure_13_densenet_1_concat_cast))[name = tensor("features_failure_13_densenet_3_concat_cast")]; tensor tongue_features_13_densenet_3_concat_interleave_0 = const()[name = tensor("tongue_features_13_densenet_3_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_13_densenet_3_concat_cast = concat(axis = tongue_features_13_densenet_3_concat_axis, interleave = tongue_features_13_densenet_3_concat_interleave_0, values = (tongue_features_13_densenet_2_conv_block_conv_3x3_48_16_variables_conv_3x3_48_16_variables_relu_cast, tongue_features_13_densenet_1_concat_cast))[name = tensor("tongue_features_13_densenet_3_concat_cast")]; tensor feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_150_to_fp16 = const()[name = tensor("transpose_150_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1859584)))]; tensor const_75_to_fp16 = const()[name = tensor("const_75_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1970240)))]; tensor feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_add_cast = conv(bias = const_75_to_fp16, dilations = feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_convolutionx_strides_0, weight = transpose_150_to_fp16, x = feature_extraction_features_rgb_13_densenet_3_concat_cast)[name = tensor("feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_add_cast")]; tensor features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_152_to_fp16 = const()[name = tensor("transpose_152_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1970368)))]; tensor const_76_to_fp16 = const()[name = tensor("const_76_to_fp16"), val = tensor([0.101623535, 0.223144531, -0.0447387695, -0.255859375, 0.0285644531, -0.0581970215, 0.275878906, 0.209472656])]; tensor features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast = conv(bias = const_76_to_fp16, dilations = features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_dilations_0, groups = features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_groups_0, pad = features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_0, pad_type = features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_pad_type_0, strides = features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_convolutionx_strides_0, weight = transpose_152_to_fp16, x = features_failure_13_densenet_3_concat_cast)[name = tensor("features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast")]; tensor tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_154_to_fp16 = const()[name = tensor("transpose_154_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1975040)))]; tensor const_77_to_fp16 = const()[name = tensor("const_77_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1993536)))]; tensor tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast = conv(bias = const_77_to_fp16, dilations = tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_dilations_0, groups = tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_groups_0, pad = tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_0, pad_type = tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_pad_type_0, strides = tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_convolutionx_strides_0, weight = transpose_154_to_fp16, x = tongue_features_13_densenet_3_concat_cast)[name = tensor("tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast")]; tensor feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_add_cast)[name = tensor("feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_leaky_relu_cast")]; tensor features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast = relu(x = features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_add_cast)[name = tensor("features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast")]; tensor tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_relu_cast = relu(x = tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_add_cast)[name = tensor("tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_relu_cast")]; tensor feature_extraction_features_rgb_13_densenet_5_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_13_densenet_5_concat_cast = concat(axis = feature_extraction_features_rgb_13_densenet_5_concat_axis, interleave = feature_extraction_features_rgb_13_densenet_5_concat_interleave_0, values = (feature_extraction_features_rgb_13_densenet_4_conv_block_conv_3x3_192_32_variables_conv_3x3_192_32_variables_leaky_relu_cast, feature_extraction_features_rgb_13_densenet_3_concat_cast))[name = tensor("feature_extraction_features_rgb_13_densenet_5_concat_cast")]; tensor features_failure_13_densenet_5_concat_interleave_0 = const()[name = tensor("features_failure_13_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor features_failure_13_densenet_5_concat_cast = concat(axis = features_failure_13_densenet_5_concat_axis, interleave = features_failure_13_densenet_5_concat_interleave_0, values = (features_failure_13_densenet_4_conv_block_conv_3x3_32_8_variables_conv_3x3_32_8_variables_relu_cast, features_failure_13_densenet_3_concat_cast))[name = tensor("features_failure_13_densenet_5_concat_cast")]; tensor tongue_features_13_densenet_5_concat_interleave_0 = const()[name = tensor("tongue_features_13_densenet_5_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_13_densenet_5_concat_cast = concat(axis = tongue_features_13_densenet_5_concat_axis, interleave = tongue_features_13_densenet_5_concat_interleave_0, values = (tongue_features_13_densenet_4_conv_block_conv_3x3_64_16_variables_conv_3x3_64_16_variables_relu_cast, tongue_features_13_densenet_3_concat_cast))[name = tensor("tongue_features_13_densenet_5_concat_cast")]; tensor feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_pad_type_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_strides_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_dilations_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_groups_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_groups_0"), val = tensor(1)]; tensor feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_pad_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_156_to_fp16 = const()[name = tensor("transpose_156_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(1993664)))]; tensor const_78_to_fp16 = const()[name = tensor("const_78_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2122752)))]; tensor feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_add_cast = conv(bias = const_78_to_fp16, dilations = feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_dilations_0, groups = feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_groups_0, pad = feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_pad_0, pad_type = feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_pad_type_0, strides = feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_convolutionx_strides_0, weight = transpose_156_to_fp16, x = feature_extraction_features_rgb_13_densenet_5_concat_cast)[name = tensor("feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_add_cast")]; tensor features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_type_0 = const()[name = tensor("features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_strides_0 = const()[name = tensor("features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_dilations_0 = const()[name = tensor("features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_groups_0 = const()[name = tensor("features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_0 = const()[name = tensor("features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_158_to_fp16 = const()[name = tensor("transpose_158_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2122880)))]; tensor const_79_to_fp16 = const()[name = tensor("const_79_to_fp16"), val = tensor([0.135253906, -0.104858398, -0.180053711, 0.218383789, 0.0498352051, 0.0856323242, -0.147705078, 0.0353393555])]; tensor features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_add_cast = conv(bias = const_79_to_fp16, dilations = features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_dilations_0, groups = features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_groups_0, pad = features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_0, pad_type = features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_pad_type_0, strides = features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_convolutionx_strides_0, weight = transpose_158_to_fp16, x = features_failure_13_densenet_5_concat_cast)[name = tensor("features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_add_cast")]; tensor tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_strides_0 = const()[name = tensor("tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_dilations_0 = const()[name = tensor("tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_groups_0 = const()[name = tensor("tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_0 = const()[name = tensor("tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_160_to_fp16 = const()[name = tensor("transpose_160_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2128704)))]; tensor const_80_to_fp16 = const()[name = tensor("const_80_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2151808)))]; tensor tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_add_cast = conv(bias = const_80_to_fp16, dilations = tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_dilations_0, groups = tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_groups_0, pad = tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_0, pad_type = tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_pad_type_0, strides = tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_convolutionx_strides_0, weight = transpose_160_to_fp16, x = tongue_features_13_densenet_5_concat_cast)[name = tensor("tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_add_cast")]; tensor feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_leaky_relu_alpha_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_leaky_relu_cast = leaky_relu(alpha = feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_leaky_relu_alpha_0, x = feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_add_cast)[name = tensor("feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_leaky_relu_cast")]; tensor features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_relu_cast = relu(x = features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_add_cast)[name = tensor("features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_relu_cast")]; tensor tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_relu_cast = relu(x = tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_add_cast)[name = tensor("tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_relu_cast")]; tensor feature_extraction_features_rgb_13_densenet_7_concat_interleave_0 = const()[name = tensor("feature_extraction_features_rgb_13_densenet_7_concat_interleave_0"), val = tensor(false)]; tensor feature_extraction_features_rgb_13_densenet_7_concat_cast = concat(axis = feature_extraction_features_rgb_13_densenet_7_concat_axis, interleave = feature_extraction_features_rgb_13_densenet_7_concat_interleave_0, values = (feature_extraction_features_rgb_13_densenet_6_conv_block_conv_3x3_224_32_variables_conv_3x3_224_32_variables_leaky_relu_cast, feature_extraction_features_rgb_13_densenet_5_concat_cast))[name = tensor("feature_extraction_features_rgb_13_densenet_7_concat_cast")]; tensor features_failure_13_densenet_7_concat_interleave_0 = const()[name = tensor("features_failure_13_densenet_7_concat_interleave_0"), val = tensor(false)]; tensor features_failure_13_densenet_7_concat_cast = concat(axis = features_failure_13_densenet_7_concat_axis, interleave = features_failure_13_densenet_7_concat_interleave_0, values = (features_failure_13_densenet_6_conv_block_conv_3x3_40_8_variables_conv_3x3_40_8_variables_relu_cast, features_failure_13_densenet_5_concat_cast))[name = tensor("features_failure_13_densenet_7_concat_cast")]; tensor tongue_features_13_densenet_7_concat_interleave_0 = const()[name = tensor("tongue_features_13_densenet_7_concat_interleave_0"), val = tensor(false)]; tensor tongue_features_13_densenet_7_concat_cast = concat(axis = tongue_features_13_densenet_7_concat_axis, interleave = tongue_features_13_densenet_7_concat_interleave_0, values = (tongue_features_13_densenet_6_conv_block_conv_3x3_80_16_variables_conv_3x3_80_16_variables_relu_cast, tongue_features_13_densenet_5_concat_cast))[name = tensor("tongue_features_13_densenet_7_concat_cast")]; tensor avg_pool_0_kernel_sizes_0 = const()[name = tensor("avg_pool_0_kernel_sizes_0"), val = tensor([4, 4])]; tensor avg_pool_0_strides_0 = const()[name = tensor("avg_pool_0_strides_0"), val = tensor([4, 4])]; tensor avg_pool_0_pad_type_0 = const()[name = tensor("avg_pool_0_pad_type_0"), val = tensor("valid")]; tensor avg_pool_0_exclude_padding_from_average_0 = const()[name = tensor("avg_pool_0_exclude_padding_from_average_0"), val = tensor(true)]; tensor avg_pool_0_pad_0 = const()[name = tensor("avg_pool_0_pad_0"), val = tensor([0, 0, 0, 0])]; tensor avg_pool_0_ceil_mode_0 = const()[name = tensor("avg_pool_0_ceil_mode_0"), val = tensor(false)]; tensor avg_pool_0_cast = avg_pool(ceil_mode = avg_pool_0_ceil_mode_0, exclude_padding_from_average = avg_pool_0_exclude_padding_from_average_0, kernel_sizes = avg_pool_0_kernel_sizes_0, pad = avg_pool_0_pad_0, pad_type = avg_pool_0_pad_type_0, strides = avg_pool_0_strides_0, x = feature_extraction_features_rgb_13_densenet_7_concat_cast)[name = tensor("avg_pool_0_cast")]; tensor features_failure_14_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_14_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_14_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_14_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor features_failure_14_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_14_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_14_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_14_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_14_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_14_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_163_to_fp16 = const()[name = tensor("transpose_163_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2151936)))]; tensor const_81_to_fp16 = const()[name = tensor("const_81_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2179648)))]; tensor features_failure_14_conv_block_add_cast = conv(bias = const_81_to_fp16, dilations = features_failure_14_conv_block_convolutionx_dilations_0, groups = features_failure_14_conv_block_convolutionx_groups_0, pad = features_failure_14_conv_block_convolutionx_pad_0, pad_type = features_failure_14_conv_block_convolutionx_pad_type_0, strides = features_failure_14_conv_block_convolutionx_strides_0, weight = transpose_163_to_fp16, x = features_failure_13_densenet_7_concat_cast)[name = tensor("features_failure_14_conv_block_add_cast")]; tensor tongue_features_14_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_14_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_14_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_14_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor tongue_features_14_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_14_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_14_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_14_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_14_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_14_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_165_to_fp16 = const()[name = tensor("transpose_165_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2179776)))]; tensor const_82_to_fp16 = const()[name = tensor("const_82_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2290432)))]; tensor tongue_features_14_conv_block_add_cast = conv(bias = const_82_to_fp16, dilations = tongue_features_14_conv_block_convolutionx_dilations_0, groups = tongue_features_14_conv_block_convolutionx_groups_0, pad = tongue_features_14_conv_block_convolutionx_pad_0, pad_type = tongue_features_14_conv_block_convolutionx_pad_type_0, strides = tongue_features_14_conv_block_convolutionx_strides_0, weight = transpose_165_to_fp16, x = tongue_features_13_densenet_7_concat_cast)[name = tensor("tongue_features_14_conv_block_add_cast")]; tensor id_conditioning_concatenate_interleave_0 = const()[name = tensor("id_conditioning_concatenate_interleave_0"), val = tensor(false)]; tensor id_conditioning_concatenate_cast = concat(axis = id_conditioning_concatenate_axis, interleave = id_conditioning_concatenate_interleave_0, values = (avg_pool_0_cast, network_inputs_var_0_bridge))[name = tensor("id_conditioning_concatenate_cast")]; tensor features_failure_14_conv_block_relu_cast = relu(x = features_failure_14_conv_block_add_cast)[name = tensor("features_failure_14_conv_block_relu_cast")]; tensor tongue_features_14_conv_block_relu_cast = relu(x = tongue_features_14_conv_block_add_cast)[name = tensor("tongue_features_14_conv_block_relu_cast")]; tensor id_conditioning_id_fusion_features_convolutionx_pad_type_0 = const()[name = tensor("id_conditioning_id_fusion_features_convolutionx_pad_type_0"), val = tensor("valid")]; tensor id_conditioning_id_fusion_features_convolutionx_strides_0 = const()[name = tensor("id_conditioning_id_fusion_features_convolutionx_strides_0"), val = tensor([1, 1])]; tensor id_conditioning_id_fusion_features_convolutionx_dilations_0 = const()[name = tensor("id_conditioning_id_fusion_features_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor id_conditioning_id_fusion_features_convolutionx_groups_0 = const()[name = tensor("id_conditioning_id_fusion_features_convolutionx_groups_0"), val = tensor(1)]; tensor id_conditioning_id_fusion_features_convolutionx_pad_0 = const()[name = tensor("id_conditioning_id_fusion_features_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_167_to_fp16 = const()[name = tensor("transpose_167_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2290624)))]; tensor const_83_to_fp16 = const()[name = tensor("const_83_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2426880)))]; tensor id_conditioning_id_fusion_features_add_cast = conv(bias = const_83_to_fp16, dilations = id_conditioning_id_fusion_features_convolutionx_dilations_0, groups = id_conditioning_id_fusion_features_convolutionx_groups_0, pad = id_conditioning_id_fusion_features_convolutionx_pad_0, pad_type = id_conditioning_id_fusion_features_convolutionx_pad_type_0, strides = id_conditioning_id_fusion_features_convolutionx_strides_0, weight = transpose_167_to_fp16, x = id_conditioning_concatenate_cast)[name = tensor("id_conditioning_id_fusion_features_add_cast")]; tensor features_failure_15_conv_block_convolutionx_pad_type_0 = const()[name = tensor("features_failure_15_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor features_failure_15_conv_block_convolutionx_strides_0 = const()[name = tensor("features_failure_15_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor features_failure_15_conv_block_convolutionx_dilations_0 = const()[name = tensor("features_failure_15_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor features_failure_15_conv_block_convolutionx_groups_0 = const()[name = tensor("features_failure_15_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor features_failure_15_conv_block_convolutionx_pad_0 = const()[name = tensor("features_failure_15_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_169_to_fp16 = const()[name = tensor("transpose_169_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2427456)))]; tensor const_84_to_fp16 = const()[name = tensor("const_84_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2464384)))]; tensor features_failure_15_conv_block_add_cast = conv(bias = const_84_to_fp16, dilations = features_failure_15_conv_block_convolutionx_dilations_0, groups = features_failure_15_conv_block_convolutionx_groups_0, pad = features_failure_15_conv_block_convolutionx_pad_0, pad_type = features_failure_15_conv_block_convolutionx_pad_type_0, strides = features_failure_15_conv_block_convolutionx_strides_0, weight = transpose_169_to_fp16, x = features_failure_14_conv_block_relu_cast)[name = tensor("features_failure_15_conv_block_add_cast")]; tensor tongue_features_15_conv_block_convolutionx_pad_type_0 = const()[name = tensor("tongue_features_15_conv_block_convolutionx_pad_type_0"), val = tensor("same")]; tensor tongue_features_15_conv_block_convolutionx_strides_0 = const()[name = tensor("tongue_features_15_conv_block_convolutionx_strides_0"), val = tensor([2, 2])]; tensor tongue_features_15_conv_block_convolutionx_dilations_0 = const()[name = tensor("tongue_features_15_conv_block_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_features_15_conv_block_convolutionx_groups_0 = const()[name = tensor("tongue_features_15_conv_block_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_features_15_conv_block_convolutionx_pad_0 = const()[name = tensor("tongue_features_15_conv_block_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_171_to_fp16 = const()[name = tensor("transpose_171_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2464576)))]; tensor const_85_to_fp16 = const()[name = tensor("const_85_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2612096)))]; tensor tongue_features_15_conv_block_add_cast = conv(bias = const_85_to_fp16, dilations = tongue_features_15_conv_block_convolutionx_dilations_0, groups = tongue_features_15_conv_block_convolutionx_groups_0, pad = tongue_features_15_conv_block_convolutionx_pad_0, pad_type = tongue_features_15_conv_block_convolutionx_pad_type_0, strides = tongue_features_15_conv_block_convolutionx_strides_0, weight = transpose_171_to_fp16, x = tongue_features_14_conv_block_relu_cast)[name = tensor("tongue_features_15_conv_block_add_cast")]; tensor id_conditioning_id_fusion_features_leaky_relu_alpha_0 = const()[name = tensor("id_conditioning_id_fusion_features_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor id_conditioning_id_fusion_features_leaky_relu_cast = leaky_relu(alpha = id_conditioning_id_fusion_features_leaky_relu_alpha_0, x = id_conditioning_id_fusion_features_add_cast)[name = tensor("id_conditioning_id_fusion_features_leaky_relu_cast")]; tensor features_failure_15_conv_block_relu_cast = relu(x = features_failure_15_conv_block_add_cast)[name = tensor("features_failure_15_conv_block_relu_cast")]; tensor tongue_features_15_conv_block_relu_cast = relu(x = tongue_features_15_conv_block_add_cast)[name = tensor("tongue_features_15_conv_block_relu_cast")]; tensor regression_bs_fc1_convolutionx_pad_type_0 = const()[name = tensor("regression_bs_fc1_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_bs_fc1_convolutionx_strides_0 = const()[name = tensor("regression_bs_fc1_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_bs_fc1_convolutionx_dilations_0 = const()[name = tensor("regression_bs_fc1_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_bs_fc1_convolutionx_groups_0 = const()[name = tensor("regression_bs_fc1_convolutionx_groups_0"), val = tensor(1)]; tensor regression_bs_fc1_convolutionx_pad_0 = const()[name = tensor("regression_bs_fc1_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_173_to_fp16 = const()[name = tensor("transpose_173_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2612416)))]; tensor const_86_to_fp16 = const()[name = tensor("const_86_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2743552)))]; tensor regression_bs_fc1_add_cast = conv(bias = const_86_to_fp16, dilations = regression_bs_fc1_convolutionx_dilations_0, groups = regression_bs_fc1_convolutionx_groups_0, pad = regression_bs_fc1_convolutionx_pad_0, pad_type = regression_bs_fc1_convolutionx_pad_type_0, strides = regression_bs_fc1_convolutionx_strides_0, weight = transpose_173_to_fp16, x = id_conditioning_id_fusion_features_leaky_relu_cast)[name = tensor("regression_bs_fc1_add_cast")]; tensor regression_angles_fc1_convolutionx_pad_type_0 = const()[name = tensor("regression_angles_fc1_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_angles_fc1_convolutionx_strides_0 = const()[name = tensor("regression_angles_fc1_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_angles_fc1_convolutionx_dilations_0 = const()[name = tensor("regression_angles_fc1_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_angles_fc1_convolutionx_groups_0 = const()[name = tensor("regression_angles_fc1_convolutionx_groups_0"), val = tensor(1)]; tensor regression_angles_fc1_convolutionx_pad_0 = const()[name = tensor("regression_angles_fc1_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_175_to_fp16 = const()[name = tensor("transpose_175_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2744128)))]; tensor const_87_to_fp16 = const()[name = tensor("const_87_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2760576)))]; tensor regression_angles_fc1_add_cast = conv(bias = const_87_to_fp16, dilations = regression_angles_fc1_convolutionx_dilations_0, groups = regression_angles_fc1_convolutionx_groups_0, pad = regression_angles_fc1_convolutionx_pad_0, pad_type = regression_angles_fc1_convolutionx_pad_type_0, strides = regression_angles_fc1_convolutionx_strides_0, weight = transpose_175_to_fp16, x = id_conditioning_id_fusion_features_leaky_relu_cast)[name = tensor("regression_angles_fc1_add_cast")]; tensor regression_translation_fc1_convolutionx_pad_type_0 = const()[name = tensor("regression_translation_fc1_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_translation_fc1_convolutionx_strides_0 = const()[name = tensor("regression_translation_fc1_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_translation_fc1_convolutionx_dilations_0 = const()[name = tensor("regression_translation_fc1_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_translation_fc1_convolutionx_groups_0 = const()[name = tensor("regression_translation_fc1_convolutionx_groups_0"), val = tensor(1)]; tensor regression_translation_fc1_convolutionx_pad_0 = const()[name = tensor("regression_translation_fc1_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_177_to_fp16 = const()[name = tensor("transpose_177_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2760704)))]; tensor const_88_to_fp16 = const()[name = tensor("const_88_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2777152)))]; tensor regression_translation_fc1_add_cast = conv(bias = const_88_to_fp16, dilations = regression_translation_fc1_convolutionx_dilations_0, groups = regression_translation_fc1_convolutionx_groups_0, pad = regression_translation_fc1_convolutionx_pad_0, pad_type = regression_translation_fc1_convolutionx_pad_type_0, strides = regression_translation_fc1_convolutionx_strides_0, weight = transpose_177_to_fp16, x = id_conditioning_id_fusion_features_leaky_relu_cast)[name = tensor("regression_translation_fc1_add_cast")]; tensor regression_gaze_fc1_convolutionx_pad_type_0 = const()[name = tensor("regression_gaze_fc1_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_gaze_fc1_convolutionx_strides_0 = const()[name = tensor("regression_gaze_fc1_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_gaze_fc1_convolutionx_dilations_0 = const()[name = tensor("regression_gaze_fc1_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_gaze_fc1_convolutionx_groups_0 = const()[name = tensor("regression_gaze_fc1_convolutionx_groups_0"), val = tensor(1)]; tensor regression_gaze_fc1_convolutionx_pad_0 = const()[name = tensor("regression_gaze_fc1_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_179_to_fp16 = const()[name = tensor("transpose_179_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2777280)))]; tensor const_89_to_fp16 = const()[name = tensor("const_89_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2793728)))]; tensor regression_gaze_fc1_add_cast = conv(bias = const_89_to_fp16, dilations = regression_gaze_fc1_convolutionx_dilations_0, groups = regression_gaze_fc1_convolutionx_groups_0, pad = regression_gaze_fc1_convolutionx_pad_0, pad_type = regression_gaze_fc1_convolutionx_pad_type_0, strides = regression_gaze_fc1_convolutionx_strides_0, weight = transpose_179_to_fp16, x = id_conditioning_id_fusion_features_leaky_relu_cast)[name = tensor("regression_gaze_fc1_add_cast")]; tensor tongue_regression_0_fully_connected_convolutionx_pad_type_0 = const()[name = tensor("tongue_regression_0_fully_connected_convolutionx_pad_type_0"), val = tensor("valid")]; tensor tongue_regression_0_fully_connected_convolutionx_strides_0 = const()[name = tensor("tongue_regression_0_fully_connected_convolutionx_strides_0"), val = tensor([1, 1])]; tensor tongue_regression_0_fully_connected_convolutionx_dilations_0 = const()[name = tensor("tongue_regression_0_fully_connected_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor tongue_regression_0_fully_connected_convolutionx_groups_0 = const()[name = tensor("tongue_regression_0_fully_connected_convolutionx_groups_0"), val = tensor(1)]; tensor tongue_regression_0_fully_connected_convolutionx_pad_0 = const()[name = tensor("tongue_regression_0_fully_connected_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_181_to_fp16 = const()[name = tensor("transpose_181_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2793856)))]; tensor const_90_to_fp16 = const()[name = tensor("const_90_to_fp16"), val = tensor([0.664550781, -0.664550781])]; tensor tongue_logits_output = conv(bias = const_90_to_fp16, dilations = tongue_regression_0_fully_connected_convolutionx_dilations_0, groups = tongue_regression_0_fully_connected_convolutionx_groups_0, pad = tongue_regression_0_fully_connected_convolutionx_pad_0, pad_type = tongue_regression_0_fully_connected_convolutionx_pad_type_0, strides = tongue_regression_0_fully_connected_convolutionx_strides_0, weight = transpose_181_to_fp16, x = tongue_features_15_conv_block_relu_cast)[name = tensor("tongue_logits_output_type_fp32_cast")]; tensor regression_bs_fc1_leaky_relu_alpha_0 = const()[name = tensor("regression_bs_fc1_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor regression_bs_fc1_leaky_relu_cast = leaky_relu(alpha = regression_bs_fc1_leaky_relu_alpha_0, x = regression_bs_fc1_add_cast)[name = tensor("regression_bs_fc1_leaky_relu_cast")]; tensor regression_angles_fc1_leaky_relu_alpha_0 = const()[name = tensor("regression_angles_fc1_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor regression_angles_fc1_leaky_relu_cast = leaky_relu(alpha = regression_angles_fc1_leaky_relu_alpha_0, x = regression_angles_fc1_add_cast)[name = tensor("regression_angles_fc1_leaky_relu_cast")]; tensor regression_translation_fc1_leaky_relu_alpha_0 = const()[name = tensor("regression_translation_fc1_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor regression_translation_fc1_leaky_relu_cast = leaky_relu(alpha = regression_translation_fc1_leaky_relu_alpha_0, x = regression_translation_fc1_add_cast)[name = tensor("regression_translation_fc1_leaky_relu_cast")]; tensor regression_gaze_fc1_leaky_relu_alpha_0 = const()[name = tensor("regression_gaze_fc1_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor regression_gaze_fc1_leaky_relu_cast = leaky_relu(alpha = regression_gaze_fc1_leaky_relu_alpha_0, x = regression_gaze_fc1_add_cast)[name = tensor("regression_gaze_fc1_leaky_relu_cast")]; tensor regression_bs_fc2_convolutionx_pad_type_0 = const()[name = tensor("regression_bs_fc2_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_bs_fc2_convolutionx_strides_0 = const()[name = tensor("regression_bs_fc2_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_bs_fc2_convolutionx_dilations_0 = const()[name = tensor("regression_bs_fc2_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_bs_fc2_convolutionx_groups_0 = const()[name = tensor("regression_bs_fc2_convolutionx_groups_0"), val = tensor(1)]; tensor regression_bs_fc2_convolutionx_pad_0 = const()[name = tensor("regression_bs_fc2_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_183_to_fp16 = const()[name = tensor("transpose_183_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2794432)))]; tensor const_91_to_fp16 = const()[name = tensor("const_91_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2860032)))]; tensor regression_bs_fc2_add_cast = conv(bias = const_91_to_fp16, dilations = regression_bs_fc2_convolutionx_dilations_0, groups = regression_bs_fc2_convolutionx_groups_0, pad = regression_bs_fc2_convolutionx_pad_0, pad_type = regression_bs_fc2_convolutionx_pad_type_0, strides = regression_bs_fc2_convolutionx_strides_0, weight = transpose_183_to_fp16, x = regression_bs_fc1_leaky_relu_cast)[name = tensor("regression_bs_fc2_add_cast")]; tensor regression_angles_fc2_convolutionx_pad_type_0 = const()[name = tensor("regression_angles_fc2_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_angles_fc2_convolutionx_strides_0 = const()[name = tensor("regression_angles_fc2_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_angles_fc2_convolutionx_dilations_0 = const()[name = tensor("regression_angles_fc2_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_angles_fc2_convolutionx_groups_0 = const()[name = tensor("regression_angles_fc2_convolutionx_groups_0"), val = tensor(1)]; tensor regression_angles_fc2_convolutionx_pad_0 = const()[name = tensor("regression_angles_fc2_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_185_to_fp16 = const()[name = tensor("transpose_185_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2860352)))]; tensor const_92_to_fp16 = const()[name = tensor("const_92_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2862464)))]; tensor regression_angles_fc2_add_cast = conv(bias = const_92_to_fp16, dilations = regression_angles_fc2_convolutionx_dilations_0, groups = regression_angles_fc2_convolutionx_groups_0, pad = regression_angles_fc2_convolutionx_pad_0, pad_type = regression_angles_fc2_convolutionx_pad_type_0, strides = regression_angles_fc2_convolutionx_strides_0, weight = transpose_185_to_fp16, x = regression_angles_fc1_leaky_relu_cast)[name = tensor("regression_angles_fc2_add_cast")]; tensor regression_translation_fc2_convolutionx_pad_type_0 = const()[name = tensor("regression_translation_fc2_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_translation_fc2_convolutionx_strides_0 = const()[name = tensor("regression_translation_fc2_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_translation_fc2_convolutionx_dilations_0 = const()[name = tensor("regression_translation_fc2_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_translation_fc2_convolutionx_groups_0 = const()[name = tensor("regression_translation_fc2_convolutionx_groups_0"), val = tensor(1)]; tensor regression_translation_fc2_convolutionx_pad_0 = const()[name = tensor("regression_translation_fc2_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_187_to_fp16 = const()[name = tensor("transpose_187_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2862592)))]; tensor const_93_to_fp16 = const()[name = tensor("const_93_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2864704)))]; tensor regression_translation_fc2_add_cast = conv(bias = const_93_to_fp16, dilations = regression_translation_fc2_convolutionx_dilations_0, groups = regression_translation_fc2_convolutionx_groups_0, pad = regression_translation_fc2_convolutionx_pad_0, pad_type = regression_translation_fc2_convolutionx_pad_type_0, strides = regression_translation_fc2_convolutionx_strides_0, weight = transpose_187_to_fp16, x = regression_translation_fc1_leaky_relu_cast)[name = tensor("regression_translation_fc2_add_cast")]; tensor regression_gaze_fc2_convolutionx_pad_type_0 = const()[name = tensor("regression_gaze_fc2_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_gaze_fc2_convolutionx_strides_0 = const()[name = tensor("regression_gaze_fc2_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_gaze_fc2_convolutionx_dilations_0 = const()[name = tensor("regression_gaze_fc2_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_gaze_fc2_convolutionx_groups_0 = const()[name = tensor("regression_gaze_fc2_convolutionx_groups_0"), val = tensor(1)]; tensor regression_gaze_fc2_convolutionx_pad_0 = const()[name = tensor("regression_gaze_fc2_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_189_to_fp16 = const()[name = tensor("transpose_189_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2864832)))]; tensor const_94_to_fp16 = const()[name = tensor("const_94_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2866944)))]; tensor regression_gaze_fc2_add_cast = conv(bias = const_94_to_fp16, dilations = regression_gaze_fc2_convolutionx_dilations_0, groups = regression_gaze_fc2_convolutionx_groups_0, pad = regression_gaze_fc2_convolutionx_pad_0, pad_type = regression_gaze_fc2_convolutionx_pad_type_0, strides = regression_gaze_fc2_convolutionx_strides_0, weight = transpose_189_to_fp16, x = regression_gaze_fc1_leaky_relu_cast)[name = tensor("regression_gaze_fc2_add_cast")]; tensor regression_bs_fc2_leaky_relu_alpha_0 = const()[name = tensor("regression_bs_fc2_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor regression_bs_fc2_leaky_relu_cast = leaky_relu(alpha = regression_bs_fc2_leaky_relu_alpha_0, x = regression_bs_fc2_add_cast)[name = tensor("regression_bs_fc2_leaky_relu_cast")]; tensor regression_angles_fc2_leaky_relu_alpha_0 = const()[name = tensor("regression_angles_fc2_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor regression_angles_fc2_leaky_relu_cast = leaky_relu(alpha = regression_angles_fc2_leaky_relu_alpha_0, x = regression_angles_fc2_add_cast)[name = tensor("regression_angles_fc2_leaky_relu_cast")]; tensor regression_translation_fc2_leaky_relu_alpha_0 = const()[name = tensor("regression_translation_fc2_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor regression_translation_fc2_leaky_relu_cast = leaky_relu(alpha = regression_translation_fc2_leaky_relu_alpha_0, x = regression_translation_fc2_add_cast)[name = tensor("regression_translation_fc2_leaky_relu_cast")]; tensor regression_gaze_fc2_leaky_relu_alpha_0 = const()[name = tensor("regression_gaze_fc2_leaky_relu_alpha_0"), val = tensor(0.00999999978)]; tensor regression_gaze_fc2_leaky_relu_cast = leaky_relu(alpha = regression_gaze_fc2_leaky_relu_alpha_0, x = regression_gaze_fc2_add_cast)[name = tensor("regression_gaze_fc2_leaky_relu_cast")]; tensor regression_bs_regression_convolutionx_pad_type_0 = const()[name = tensor("regression_bs_regression_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_bs_regression_convolutionx_strides_0 = const()[name = tensor("regression_bs_regression_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_bs_regression_convolutionx_dilations_0 = const()[name = tensor("regression_bs_regression_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_bs_regression_convolutionx_groups_0 = const()[name = tensor("regression_bs_regression_convolutionx_groups_0"), val = tensor(1)]; tensor regression_bs_regression_convolutionx_pad_0 = const()[name = tensor("regression_bs_regression_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_191_to_fp16 = const()[name = tensor("transpose_191_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2867072)))]; tensor const_95_to_fp16 = const()[name = tensor("const_95_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2876096)))]; tensor bs_latent_output = conv(bias = const_95_to_fp16, dilations = regression_bs_regression_convolutionx_dilations_0, groups = regression_bs_regression_convolutionx_groups_0, pad = regression_bs_regression_convolutionx_pad_0, pad_type = regression_bs_regression_convolutionx_pad_type_0, strides = regression_bs_regression_convolutionx_strides_0, weight = transpose_191_to_fp16, x = regression_bs_fc2_leaky_relu_cast)[name = tensor("bs_latent_output_type_fp32_cast")]; tensor regression_angles_regression_convolutionx_pad_type_0 = const()[name = tensor("regression_angles_regression_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_angles_regression_convolutionx_strides_0 = const()[name = tensor("regression_angles_regression_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_angles_regression_convolutionx_dilations_0 = const()[name = tensor("regression_angles_regression_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_angles_regression_convolutionx_groups_0 = const()[name = tensor("regression_angles_regression_convolutionx_groups_0"), val = tensor(1)]; tensor regression_angles_regression_convolutionx_pad_0 = const()[name = tensor("regression_angles_regression_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_193_to_fp16 = const()[name = tensor("transpose_193_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2876288)))]; tensor const_96_to_fp16 = const()[name = tensor("const_96_to_fp16"), val = tensor([0.0109786987, 0.0267028809, 0.0127182007])]; tensor regression_angles_regression_add_cast = conv(bias = const_96_to_fp16, dilations = regression_angles_regression_convolutionx_dilations_0, groups = regression_angles_regression_convolutionx_groups_0, pad = regression_angles_regression_convolutionx_pad_0, pad_type = regression_angles_regression_convolutionx_pad_type_0, strides = regression_angles_regression_convolutionx_strides_0, weight = transpose_193_to_fp16, x = regression_angles_fc2_leaky_relu_cast)[name = tensor("regression_angles_regression_add_cast")]; tensor regression_translation_regression_convolutionx_pad_type_0 = const()[name = tensor("regression_translation_regression_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_translation_regression_convolutionx_strides_0 = const()[name = tensor("regression_translation_regression_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_translation_regression_convolutionx_dilations_0 = const()[name = tensor("regression_translation_regression_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_translation_regression_convolutionx_groups_0 = const()[name = tensor("regression_translation_regression_convolutionx_groups_0"), val = tensor(1)]; tensor regression_translation_regression_convolutionx_pad_0 = const()[name = tensor("regression_translation_regression_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_195_to_fp16 = const()[name = tensor("transpose_195_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2876544)))]; tensor const_97_to_fp16 = const()[name = tensor("const_97_to_fp16"), val = tensor([0.00365638733, 0.00200653076, -0.0393371582])]; tensor translation_output = conv(bias = const_97_to_fp16, dilations = regression_translation_regression_convolutionx_dilations_0, groups = regression_translation_regression_convolutionx_groups_0, pad = regression_translation_regression_convolutionx_pad_0, pad_type = regression_translation_regression_convolutionx_pad_type_0, strides = regression_translation_regression_convolutionx_strides_0, weight = transpose_195_to_fp16, x = regression_translation_fc2_leaky_relu_cast)[name = tensor("translation_output_type_fp32_cast")]; tensor regression_gaze_regression_convolutionx_pad_type_0 = const()[name = tensor("regression_gaze_regression_convolutionx_pad_type_0"), val = tensor("valid")]; tensor regression_gaze_regression_convolutionx_strides_0 = const()[name = tensor("regression_gaze_regression_convolutionx_strides_0"), val = tensor([1, 1])]; tensor regression_gaze_regression_convolutionx_dilations_0 = const()[name = tensor("regression_gaze_regression_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor regression_gaze_regression_convolutionx_groups_0 = const()[name = tensor("regression_gaze_regression_convolutionx_groups_0"), val = tensor(1)]; tensor regression_gaze_regression_convolutionx_pad_0 = const()[name = tensor("regression_gaze_regression_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_197_to_fp16 = const()[name = tensor("transpose_197_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2876800)))]; tensor const_98_to_fp16 = const()[name = tensor("const_98_to_fp16"), val = tensor([0.00234222412, -0.0823364258, 1.22460938])]; tensor gaze_output = conv(bias = const_98_to_fp16, dilations = regression_gaze_regression_convolutionx_dilations_0, groups = regression_gaze_regression_convolutionx_groups_0, pad = regression_gaze_regression_convolutionx_pad_0, pad_type = regression_gaze_regression_convolutionx_pad_type_0, strides = regression_gaze_regression_convolutionx_strides_0, weight = transpose_197_to_fp16, x = regression_gaze_fc2_leaky_relu_cast)[name = tensor("gaze_output_type_fp32_cast")]; tensor regression_Const_1_to_fp16 = const()[name = tensor("regression_Const_1_to_fp16"), val = tensor(1.5703125)]; tensor regression_Const_to_fp16 = const()[name = tensor("regression_Const_to_fp16"), val = tensor(-1.5703125)]; tensor angles_output = clip(alpha = regression_Const_to_fp16, beta = regression_Const_1_to_fp16, x = regression_angles_regression_add_cast); tensor concatenate_interleave_0 = const()[name = tensor("concatenate_interleave_0"), val = tensor(false)]; tensor concatenate_cast = concat(axis = concatenate_axis, interleave = concatenate_interleave_0, values = (features_failure_15_conv_block_relu_cast, network_inputs_var_0_bridge, bs_latent_output, angles_output, translation_output, gaze_output))[name = tensor("concatenate_cast")]; tensor failure_regression_0_fully_connected_convolutionx_pad_type_0 = const()[name = tensor("failure_regression_0_fully_connected_convolutionx_pad_type_0"), val = tensor("valid")]; tensor failure_regression_0_fully_connected_convolutionx_strides_0 = const()[name = tensor("failure_regression_0_fully_connected_convolutionx_strides_0"), val = tensor([1, 1])]; tensor failure_regression_0_fully_connected_convolutionx_dilations_0 = const()[name = tensor("failure_regression_0_fully_connected_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor failure_regression_0_fully_connected_convolutionx_groups_0 = const()[name = tensor("failure_regression_0_fully_connected_convolutionx_groups_0"), val = tensor(1)]; tensor failure_regression_0_fully_connected_convolutionx_pad_0 = const()[name = tensor("failure_regression_0_fully_connected_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_199_to_fp16 = const()[name = tensor("transpose_199_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2877056)))]; tensor const_99_to_fp16 = const()[name = tensor("const_99_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2892224)))]; tensor failure_regression_0_fully_connected_add_cast = conv(bias = const_99_to_fp16, dilations = failure_regression_0_fully_connected_convolutionx_dilations_0, groups = failure_regression_0_fully_connected_convolutionx_groups_0, pad = failure_regression_0_fully_connected_convolutionx_pad_0, pad_type = failure_regression_0_fully_connected_convolutionx_pad_type_0, strides = failure_regression_0_fully_connected_convolutionx_strides_0, weight = transpose_199_to_fp16, x = concatenate_cast)[name = tensor("failure_regression_0_fully_connected_add_cast")]; tensor failure_regression_0_fully_connected_relu_cast = relu(x = failure_regression_0_fully_connected_add_cast)[name = tensor("failure_regression_0_fully_connected_relu_cast")]; tensor failure_regression_1_fully_connected_convolutionx_pad_type_0 = const()[name = tensor("failure_regression_1_fully_connected_convolutionx_pad_type_0"), val = tensor("valid")]; tensor failure_regression_1_fully_connected_convolutionx_strides_0 = const()[name = tensor("failure_regression_1_fully_connected_convolutionx_strides_0"), val = tensor([1, 1])]; tensor failure_regression_1_fully_connected_convolutionx_dilations_0 = const()[name = tensor("failure_regression_1_fully_connected_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor failure_regression_1_fully_connected_convolutionx_groups_0 = const()[name = tensor("failure_regression_1_fully_connected_convolutionx_groups_0"), val = tensor(1)]; tensor failure_regression_1_fully_connected_convolutionx_pad_0 = const()[name = tensor("failure_regression_1_fully_connected_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_201_to_fp16 = const()[name = tensor("transpose_201_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2892416)))]; tensor const_100_to_fp16 = const()[name = tensor("const_100_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2896576)))]; tensor failure_regression_1_fully_connected_add_cast = conv(bias = const_100_to_fp16, dilations = failure_regression_1_fully_connected_convolutionx_dilations_0, groups = failure_regression_1_fully_connected_convolutionx_groups_0, pad = failure_regression_1_fully_connected_convolutionx_pad_0, pad_type = failure_regression_1_fully_connected_convolutionx_pad_type_0, strides = failure_regression_1_fully_connected_convolutionx_strides_0, weight = transpose_201_to_fp16, x = failure_regression_0_fully_connected_relu_cast)[name = tensor("failure_regression_1_fully_connected_add_cast")]; tensor failure_regression_1_fully_connected_relu_cast = relu(x = failure_regression_1_fully_connected_add_cast)[name = tensor("failure_regression_1_fully_connected_relu_cast")]; tensor failure_regression_2_fully_connected_convolutionx_pad_type_0 = const()[name = tensor("failure_regression_2_fully_connected_convolutionx_pad_type_0"), val = tensor("valid")]; tensor failure_regression_2_fully_connected_convolutionx_strides_0 = const()[name = tensor("failure_regression_2_fully_connected_convolutionx_strides_0"), val = tensor([1, 1])]; tensor failure_regression_2_fully_connected_convolutionx_dilations_0 = const()[name = tensor("failure_regression_2_fully_connected_convolutionx_dilations_0"), val = tensor([1, 1])]; tensor failure_regression_2_fully_connected_convolutionx_groups_0 = const()[name = tensor("failure_regression_2_fully_connected_convolutionx_groups_0"), val = tensor(1)]; tensor failure_regression_2_fully_connected_convolutionx_pad_0 = const()[name = tensor("failure_regression_2_fully_connected_convolutionx_pad_0"), val = tensor([0, 0, 0, 0])]; tensor transpose_203_to_fp16 = const()[name = tensor("transpose_203_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(2896704)))]; tensor const_101_to_fp16 = const()[name = tensor("const_101_to_fp16"), val = tensor([-0.678222656])]; tensor failure_logit_output = conv(bias = const_101_to_fp16, dilations = failure_regression_2_fully_connected_convolutionx_dilations_0, groups = failure_regression_2_fully_connected_convolutionx_groups_0, pad = failure_regression_2_fully_connected_convolutionx_pad_0, pad_type = failure_regression_2_fully_connected_convolutionx_pad_type_0, strides = failure_regression_2_fully_connected_convolutionx_strides_0, weight = transpose_203_to_fp16, x = failure_regression_1_fully_connected_relu_cast)[name = tensor("failure_logit_output_type_fp32_cast")]; } -> (bs_latent_output, angles_output, translation_output, gaze_output, failure_logit_output, tongue_logits_output); }