{ "storage" : "model.espresso.weights", "properties" : { "mldb_token": "mldb-5qbg63zgxe" }, "format_version" : 200, "layers" : [ { "nB" : 103, "top" : "embedding_1_output", "has_biases" : 0, "weights" : { }, "nC" : 50, "blob_weights" : 1, "is_lookup" : 1, "type" : "inner_product", "has_relu" : 0, "bottom" : "input1", "has_tanh" : 0, "hint_fallback_from_metal" : 1, "name" : "embedding_1", "has_prelu" : 0 }, { "bottom" : "embedding_1_output", "axis_w" : 4, "axis_h" : 1, "axis_k" : 2, "axis_n" : 3, "hint_fallback_from_metal" : 1, "axis_seq" : 0, "weights" : { }, "top" : "embedding_1_permute_conv1d_1_output", "type" : "transpose", "name" : "embedding_1_permute_conv1d_1" }, { "pad_r" : 0, "fused_relu" : 1, "fused_tanh" : 0, "pad_fill_mode" : 0, "pad_b" : 0, "pad_l" : 0, "top" : "conv1d_1__activation___output", "blob_weights" : 5, "K" : 50, "blob_biases" : 3, "name" : "conv1d_1", "has_batch_norm" : 0, "type" : "convolution", "n_groups" : 1, "pad_t" : 0, "has_biases" : 1, "C" : 128, "bottom" : "embedding_1_permute_conv1d_1_output", "weights" : { }, "pad_mode" : 0, "Nx" : 5, "pad_value" : 0, "Ny" : 1, "n_parallel" : 1 }, { "pad_value" : 0, "average_count_exclude_padding" : 1, "top_shape_style" : 0, "avg_or_max" : 1, "stride_x" : 5, "pad_mode" : 2, "stride_y" : 1, "pad_t" : 0, "weights" : { }, "size_y" : 1, "type" : "pool", "pad_r" : 0, "pad_b" : 0, "size_x" : 5, "pad_fill_mode" : 0, "bottom" : "conv1d_1__activation___output", "pad_l" : 0, "name" : "max_pooling1d_1", "top" : "max_pooling1d_1_output" }, { "pad_r" : 0, "fused_relu" : 1, "fused_tanh" : 0, "pad_fill_mode" : 0, "pad_b" : 0, "pad_l" : 0, "top" : "conv1d_2__activation___output", "blob_weights" : 9, "K" : 128, "blob_biases" : 7, "name" : "conv1d_2", "has_batch_norm" : 0, "type" : "convolution", "n_groups" : 1, "pad_t" : 0, "has_biases" : 1, "C" : 128, "bottom" : "max_pooling1d_1_output", "weights" : { }, "pad_mode" : 0, "Nx" : 5, "pad_value" : 0, "Ny" : 1, "n_parallel" : 1 }, { "pad_value" : 0, "average_count_exclude_padding" : 1, "top_shape_style" : 0, "avg_or_max" : 1, "stride_x" : 5, "pad_mode" : 2, "stride_y" : 1, "pad_t" : 0, "weights" : { }, "size_y" : 1, "type" : "pool", "pad_r" : 0, "pad_b" : 0, "size_x" : 5, "pad_fill_mode" : 0, "bottom" : "conv1d_2__activation___output", "pad_l" : 0, "name" : "max_pooling1d_2", "top" : "max_pooling1d_2_output" }, { "pad_r" : 0, "fused_relu" : 1, "fused_tanh" : 0, "pad_fill_mode" : 0, "pad_b" : 0, "pad_l" : 0, "top" : "conv1d_3__activation___output", "blob_weights" : 13, "K" : 128, "blob_biases" : 11, "name" : "conv1d_3", "has_batch_norm" : 0, "type" : "convolution", "n_groups" : 1, "pad_t" : 0, "has_biases" : 1, "C" : 128, "bottom" : "max_pooling1d_2_output", "weights" : { }, "pad_mode" : 0, "Nx" : 5, "pad_value" : 0, "Ny" : 1, "n_parallel" : 1 }, { "pad_value" : 0, "average_count_exclude_padding" : 1, "top_shape_style" : 0, "avg_or_max" : 1, "stride_x" : 11, "pad_mode" : 2, "stride_y" : 1, "pad_t" : 0, "weights" : { }, "size_y" : 1, "type" : "pool", "pad_r" : 0, "pad_b" : 0, "size_x" : 11, "pad_fill_mode" : 0, "bottom" : "conv1d_3__activation___output", "pad_l" : 0, "name" : "max_pooling1d_3", "top" : "max_pooling1d_3_output" }, { "axis_h" : 1, "axis_w" : 4, "axis_k" : 2, "bottom" : "max_pooling1d_3_output", "axis_n" : 3, "axis_seq" : 0, "weights" : { }, "top" : "max_pooling1d_3_permute_flatten_1_output", "type" : "transpose", "name" : "max_pooling1d_3_permute_flatten_1" }, { "axis_h" : 4, "axis_w" : 0, "axis_k" : 2, "bottom" : "max_pooling1d_3_permute_flatten_1_output", "axis_n" : 3, "axis_seq" : 1, "weights" : { }, "top" : "flatten_1_output__permute__", "type" : "transpose", "name" : "flatten_1__permute__" }, { "mode" : 1, "weights" : { }, "top" : "flatten_1_output", "type" : "flatten", "name" : "flatten_1", "bottom" : "flatten_1_output__permute__" }, { "nB" : 128, "top" : "dense_1__activation___output", "has_biases" : 1, "weights" : { }, "nC" : 128, "blob_weights" : 17, "type" : "inner_product", "has_relu" : 1, "bottom" : "flatten_1_output", "blob_biases" : 15, "has_tanh" : 0, "name" : "dense_1", "has_prelu" : 0 }, { "nB" : 128, "top" : "dense_2_output", "has_biases" : 1, "weights" : { }, "nC" : 2, "blob_weights" : 21, "type" : "inner_product", "has_relu" : 0, "bottom" : "dense_1__activation___output", "blob_biases" : 19, "has_tanh" : 0, "name" : "dense_2", "has_prelu" : 0 }, { "C" : 2, "weights" : { }, "top" : "output1", "type" : "softmax", "name" : "dense_2__activation__", "bottom" : "dense_2_output" } ] }