program(1.0) [buildInfo = dict, tensor>({{"coremlc-component-MIL", "3500.12.1"}, {"coremlc-version", "3500.26.1"}, {"coremltools-component-torch", "2.5.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "8.2"}, {"mldb_token", "mldb-8mbymokg7x"}})] { func main(tensor input_feature_vector) [FlexibleShapeInformation = tuple, dict, tensor>>, tuple, dict, list, ?>>>>((("DefaultShapes", {{"input_feature_vector", [1, 83]}}), ("RangeDims", {{"input_feature_vector", [[1, 512], [83, 83]]}})))] { tensor var_89 = const()[name = tensor("op_89"), val = tensor(25)]; tensor var_100 = const()[name = tensor("op_100"), val = tensor(1)]; tensor var_102 = const()[name = tensor("op_102"), val = tensor(0)]; tensor const_0 = const()[name = tensor("const_0"), val = tensor([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24])]; tensor var_106_axis_0 = const()[name = tensor("op_106_axis_0"), val = tensor(1)]; tensor input_feature_vector_to_fp16_dtype_0 = const()[name = tensor("input_feature_vector_to_fp16_dtype_0"), val = tensor("fp16")]; tensor input_feature_vector_to_fp16 = cast(dtype = input_feature_vector_to_fp16_dtype_0, x = input_feature_vector)[name = tensor("cast_121")]; tensor var_106_cast_fp16 = gather(axis = var_106_axis_0, indices = const_0, x = input_feature_vector_to_fp16)[name = tensor("op_106_cast_fp16")]; tensor total_launches_in_time_buckets_axes_0 = const()[name = tensor("total_launches_in_time_buckets_axes_0"), val = tensor([1])]; tensor total_launches_in_time_buckets_keep_dims_0 = const()[name = tensor("total_launches_in_time_buckets_keep_dims_0"), val = tensor(true)]; tensor total_launches_in_time_buckets_cast_fp16 = reduce_sum(axes = total_launches_in_time_buckets_axes_0, keep_dims = total_launches_in_time_buckets_keep_dims_0, x = var_106_cast_fp16)[name = tensor("total_launches_in_time_buckets_cast_fp16")]; tensor var_93_promoted_to_fp16 = const()[name = tensor("op_93_promoted_to_fp16"), val = tensor(0x1.4p+3)]; tensor app_not_enough_time_data_cast_fp16 = less_equal(x = total_launches_in_time_buckets_cast_fp16, y = var_93_promoted_to_fp16)[name = tensor("app_not_enough_time_data_cast_fp16")]; tensor app_not_enough_time_data_promoted_dtype_0 = const()[name = tensor("app_not_enough_time_data_promoted_dtype_0"), val = tensor("int32")]; tensor app_not_enough_time_data_promoted = cast(dtype = app_not_enough_time_data_promoted_dtype_0, x = app_not_enough_time_data_cast_fp16)[name = tensor("cast_120")]; tensor app_enough_time_data = less_equal(x = app_not_enough_time_data_promoted, y = var_102)[name = tensor("app_enough_time_data")]; tensor var_112_begin_0 = const()[name = tensor("op_112_begin_0"), val = tensor([0, 66])]; tensor var_112_end_0 = const()[name = tensor("op_112_end_0"), val = tensor([0, 67])]; tensor var_112_end_mask_0 = const()[name = tensor("op_112_end_mask_0"), val = tensor([true, false])]; tensor var_112_cast_fp16 = slice_by_index(begin = var_112_begin_0, end = var_112_end_0, end_mask = var_112_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_112_cast_fp16")]; tensor cast_0_dtype_0 = const()[name = tensor("cast_0_dtype_0"), val = tensor("int32")]; tensor var_114 = const()[name = tensor("op_114"), val = tensor(1)]; tensor var_112_cast_fp16_to_int32 = cast(dtype = cast_0_dtype_0, x = var_112_cast_fp16)[name = tensor("cast_119")]; tensor var_115 = sub(x = var_112_cast_fp16_to_int32, y = var_114)[name = tensor("op_115")]; tensor prev_time_bucket_div = floor_div(x = var_115, y = var_89)[name = tensor("prev_time_bucket_div")]; tensor prev_time_bucket_div_scaled = mul(x = prev_time_bucket_div, y = var_89)[name = tensor("prev_time_bucket_div_scaled")]; tensor prev_time_bucket = sub(x = var_115, y = prev_time_bucket_div_scaled)[name = tensor("prev_time_bucket")]; tensor var_117 = const()[name = tensor("op_117"), val = tensor(1)]; tensor var_118 = add(x = var_112_cast_fp16_to_int32, y = var_117)[name = tensor("op_118")]; tensor next_time_bucket_div = floor_div(x = var_118, y = var_89)[name = tensor("next_time_bucket_div")]; tensor next_time_bucket_div_scaled = mul(x = next_time_bucket_div, y = var_89)[name = tensor("next_time_bucket_div_scaled")]; tensor next_time_bucket = sub(x = var_118, y = next_time_bucket_div_scaled)[name = tensor("next_time_bucket")]; tensor var_126_shape_cast_fp16 = shape(x = input_feature_vector_to_fp16)[name = tensor("op_126_shape_cast_fp16")]; tensor gather_0_indices_0 = const()[name = tensor("gather_0_indices_0"), val = tensor(0)]; tensor gather_0_axis_0 = const()[name = tensor("gather_0_axis_0"), val = tensor(0)]; tensor gather_0 = gather(axis = gather_0_axis_0, indices = gather_0_indices_0, x = var_126_shape_cast_fp16)[name = tensor("gather_0")]; tensor const_1 = const()[name = tensor("const_1"), val = tensor(0)]; tensor const_2 = const()[name = tensor("const_2"), val = tensor(1)]; tensor var_127 = range_1d(end = gather_0, start = const_1, step = const_2)[name = tensor("op_127")]; tensor var_128 = squeeze(x = var_112_cast_fp16_to_int32)[name = tensor("op_128")]; tensor shape_0 = shape(x = var_127)[name = tensor("shape_0")]; tensor slice_by_index_0_begin_0 = const()[name = tensor("slice_by_index_0_begin_0"), val = tensor([0])]; tensor slice_by_index_0_end_0 = const()[name = tensor("slice_by_index_0_end_0"), val = tensor([0])]; tensor slice_by_index_0_squeeze_mask_0 = const()[name = tensor("slice_by_index_0_squeeze_mask_0"), val = tensor([true])]; tensor slice_by_index_0 = slice_by_index(begin = slice_by_index_0_begin_0, end = slice_by_index_0_end_0, squeeze_mask = slice_by_index_0_squeeze_mask_0, x = shape_0)[name = tensor("slice_by_index_0")]; tensor concat_0_axis_0 = const()[name = tensor("concat_0_axis_0"), val = tensor(0)]; tensor concat_0_interleave_0 = const()[name = tensor("concat_0_interleave_0"), val = tensor(false)]; tensor concat_0 = concat(axis = concat_0_axis_0, interleave = concat_0_interleave_0, values = slice_by_index_0)[name = tensor("concat_0")]; tensor real_div_0 = real_div(x = concat_0, y = shape_0)[name = tensor("real_div_0")]; tensor var_127_after_broadcast = tile(reps = real_div_0, x = var_127)[name = tensor("op_127_after_broadcast")]; tensor shape_2 = shape(x = var_128)[name = tensor("shape_2")]; tensor real_div_1 = real_div(x = concat_0, y = shape_2)[name = tensor("real_div_1")]; tensor var_128_after_broadcast = tile(reps = real_div_1, x = var_128)[name = tensor("op_128_after_broadcast")]; tensor stack_0_axis_0 = const()[name = tensor("stack_0_axis_0"), val = tensor(1)]; tensor stack_0 = stack(axis = stack_0_axis_0, values = (var_127_after_broadcast, var_128_after_broadcast))[name = tensor("stack_0")]; tensor var_130_transpose_cast_fp16 = gather_nd(indices = stack_0, x = input_feature_vector_to_fp16)[name = tensor("op_130_transpose_cast_fp16")]; tensor num_app_launches_current_time_bucket_axes_0 = const()[name = tensor("num_app_launches_current_time_bucket_axes_0"), val = tensor([-1])]; tensor num_app_launches_current_time_bucket_cast_fp16 = expand_dims(axes = num_app_launches_current_time_bucket_axes_0, x = var_130_transpose_cast_fp16)[name = tensor("num_app_launches_current_time_bucket_cast_fp16")]; tensor var_134 = squeeze(x = prev_time_bucket)[name = tensor("op_134")]; tensor shape_5 = shape(x = var_134)[name = tensor("shape_5")]; tensor real_div_3 = real_div(x = concat_0, y = shape_5)[name = tensor("real_div_3")]; tensor var_134_after_broadcast = tile(reps = real_div_3, x = var_134)[name = tensor("op_134_after_broadcast")]; tensor stack_1_axis_0 = const()[name = tensor("stack_1_axis_0"), val = tensor(1)]; tensor stack_1 = stack(axis = stack_1_axis_0, values = (var_127_after_broadcast, var_134_after_broadcast))[name = tensor("stack_1")]; tensor var_136_transpose_cast_fp16 = gather_nd(indices = stack_1, x = input_feature_vector_to_fp16)[name = tensor("op_136_transpose_cast_fp16")]; tensor num_app_launches_prev_time_bucket_axes_0 = const()[name = tensor("num_app_launches_prev_time_bucket_axes_0"), val = tensor([-1])]; tensor num_app_launches_prev_time_bucket_cast_fp16 = expand_dims(axes = num_app_launches_prev_time_bucket_axes_0, x = var_136_transpose_cast_fp16)[name = tensor("num_app_launches_prev_time_bucket_cast_fp16")]; tensor var_140 = squeeze(x = next_time_bucket)[name = tensor("op_140")]; tensor shape_8 = shape(x = var_140)[name = tensor("shape_8")]; tensor real_div_5 = real_div(x = concat_0, y = shape_8)[name = tensor("real_div_5")]; tensor var_140_after_broadcast = tile(reps = real_div_5, x = var_140)[name = tensor("op_140_after_broadcast")]; tensor stack_2_axis_0 = const()[name = tensor("stack_2_axis_0"), val = tensor(1)]; tensor stack_2 = stack(axis = stack_2_axis_0, values = (var_127_after_broadcast, var_140_after_broadcast))[name = tensor("stack_2")]; tensor var_142_transpose_cast_fp16 = gather_nd(indices = stack_2, x = input_feature_vector_to_fp16)[name = tensor("op_142_transpose_cast_fp16")]; tensor num_app_launches_next_time_bucket_axes_0 = const()[name = tensor("num_app_launches_next_time_bucket_axes_0"), val = tensor([-1])]; tensor num_app_launches_next_time_bucket_cast_fp16 = expand_dims(axes = num_app_launches_next_time_bucket_axes_0, x = var_142_transpose_cast_fp16)[name = tensor("num_app_launches_next_time_bucket_cast_fp16")]; tensor app_launches_bucket_1_begin_0 = const()[name = tensor("app_launches_bucket_1_begin_0"), val = tensor([0, 0])]; tensor app_launches_bucket_1_end_0 = const()[name = tensor("app_launches_bucket_1_end_0"), val = tensor([0, 1])]; tensor app_launches_bucket_1_end_mask_0 = const()[name = tensor("app_launches_bucket_1_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_1_cast_fp16 = slice_by_index(begin = app_launches_bucket_1_begin_0, end = app_launches_bucket_1_end_0, end_mask = app_launches_bucket_1_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_1_cast_fp16")]; tensor app_launches_bucket_before_1_begin_0 = const()[name = tensor("app_launches_bucket_before_1_begin_0"), val = tensor([0, 24])]; tensor app_launches_bucket_before_1_end_0 = const()[name = tensor("app_launches_bucket_before_1_end_0"), val = tensor([0, 25])]; tensor app_launches_bucket_before_1_end_mask_0 = const()[name = tensor("app_launches_bucket_before_1_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_before_1_cast_fp16 = slice_by_index(begin = app_launches_bucket_before_1_begin_0, end = app_launches_bucket_before_1_end_0, end_mask = app_launches_bucket_before_1_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_before_1_cast_fp16")]; tensor app_launches_bucket_after_1_begin_0 = const()[name = tensor("app_launches_bucket_after_1_begin_0"), val = tensor([0, 1])]; tensor app_launches_bucket_after_1_end_0 = const()[name = tensor("app_launches_bucket_after_1_end_0"), val = tensor([0, 2])]; tensor app_launches_bucket_after_1_end_mask_0 = const()[name = tensor("app_launches_bucket_after_1_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_1_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_1_begin_0, end = app_launches_bucket_after_1_end_0, end_mask = app_launches_bucket_after_1_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_1_cast_fp16")]; tensor const_7_promoted_to_fp16 = const()[name = tensor("const_7_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_150_cast_fp16 = mul(x = app_launches_bucket_before_1_cast_fp16, y = const_7_promoted_to_fp16)[name = tensor("op_150_cast_fp16")]; tensor var_151_promoted_to_fp16 = const()[name = tensor("op_151_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_152_cast_fp16 = mul(x = app_launches_bucket_1_cast_fp16, y = var_151_promoted_to_fp16)[name = tensor("op_152_cast_fp16")]; tensor var_153_cast_fp16 = add(x = var_150_cast_fp16, y = var_152_cast_fp16)[name = tensor("op_153_cast_fp16")]; tensor app_launches_bucket_sharpened_1_cast_fp16 = sub(x = var_153_cast_fp16, y = app_launches_bucket_after_1_cast_fp16)[name = tensor("app_launches_bucket_sharpened_1_cast_fp16")]; tensor var_102_promoted_to_fp16 = const()[name = tensor("op_102_promoted_to_fp16"), val = tensor(0x0p+0)]; tensor var_84_to_fp16 = const()[name = tensor("op_84_to_fp16"), val = tensor(inf)]; tensor clip_0_cast_fp16 = clip(alpha = var_102_promoted_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_1_cast_fp16)[name = tensor("clip_0_cast_fp16")]; tensor app_launches_bucket_after_3_begin_0 = const()[name = tensor("app_launches_bucket_after_3_begin_0"), val = tensor([0, 2])]; tensor app_launches_bucket_after_3_end_0 = const()[name = tensor("app_launches_bucket_after_3_end_0"), val = tensor([0, 3])]; tensor app_launches_bucket_after_3_end_mask_0 = const()[name = tensor("app_launches_bucket_after_3_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_3_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_3_begin_0, end = app_launches_bucket_after_3_end_0, end_mask = app_launches_bucket_after_3_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_3_cast_fp16")]; tensor const_8_promoted_to_fp16 = const()[name = tensor("const_8_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_162_cast_fp16 = mul(x = app_launches_bucket_1_cast_fp16, y = const_8_promoted_to_fp16)[name = tensor("op_162_cast_fp16")]; tensor var_163_promoted_to_fp16 = const()[name = tensor("op_163_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_164_cast_fp16 = mul(x = app_launches_bucket_after_1_cast_fp16, y = var_163_promoted_to_fp16)[name = tensor("op_164_cast_fp16")]; tensor var_165_cast_fp16 = add(x = var_162_cast_fp16, y = var_164_cast_fp16)[name = tensor("op_165_cast_fp16")]; tensor app_launches_bucket_sharpened_3_cast_fp16 = sub(x = var_165_cast_fp16, y = app_launches_bucket_after_3_cast_fp16)[name = tensor("app_launches_bucket_sharpened_3_cast_fp16")]; tensor var_102_promoted_1_to_fp16 = const()[name = tensor("op_102_promoted_1_to_fp16"), val = tensor(0x0p+0)]; tensor clip_1_cast_fp16 = clip(alpha = var_102_promoted_1_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_3_cast_fp16)[name = tensor("clip_1_cast_fp16")]; tensor app_launches_bucket_after_5_begin_0 = const()[name = tensor("app_launches_bucket_after_5_begin_0"), val = tensor([0, 3])]; tensor app_launches_bucket_after_5_end_0 = const()[name = tensor("app_launches_bucket_after_5_end_0"), val = tensor([0, 4])]; tensor app_launches_bucket_after_5_end_mask_0 = const()[name = tensor("app_launches_bucket_after_5_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_5_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_5_begin_0, end = app_launches_bucket_after_5_end_0, end_mask = app_launches_bucket_after_5_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_5_cast_fp16")]; tensor const_9_promoted_to_fp16 = const()[name = tensor("const_9_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_174_cast_fp16 = mul(x = app_launches_bucket_after_1_cast_fp16, y = const_9_promoted_to_fp16)[name = tensor("op_174_cast_fp16")]; tensor var_175_promoted_to_fp16 = const()[name = tensor("op_175_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_176_cast_fp16 = mul(x = app_launches_bucket_after_3_cast_fp16, y = var_175_promoted_to_fp16)[name = tensor("op_176_cast_fp16")]; tensor var_177_cast_fp16 = add(x = var_174_cast_fp16, y = var_176_cast_fp16)[name = tensor("op_177_cast_fp16")]; tensor app_launches_bucket_sharpened_5_cast_fp16 = sub(x = var_177_cast_fp16, y = app_launches_bucket_after_5_cast_fp16)[name = tensor("app_launches_bucket_sharpened_5_cast_fp16")]; tensor var_102_promoted_2_to_fp16 = const()[name = tensor("op_102_promoted_2_to_fp16"), val = tensor(0x0p+0)]; tensor clip_2_cast_fp16 = clip(alpha = var_102_promoted_2_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_5_cast_fp16)[name = tensor("clip_2_cast_fp16")]; tensor app_launches_bucket_after_7_begin_0 = const()[name = tensor("app_launches_bucket_after_7_begin_0"), val = tensor([0, 4])]; tensor app_launches_bucket_after_7_end_0 = const()[name = tensor("app_launches_bucket_after_7_end_0"), val = tensor([0, 5])]; tensor app_launches_bucket_after_7_end_mask_0 = const()[name = tensor("app_launches_bucket_after_7_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_7_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_7_begin_0, end = app_launches_bucket_after_7_end_0, end_mask = app_launches_bucket_after_7_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_7_cast_fp16")]; tensor const_10_promoted_to_fp16 = const()[name = tensor("const_10_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_186_cast_fp16 = mul(x = app_launches_bucket_after_3_cast_fp16, y = const_10_promoted_to_fp16)[name = tensor("op_186_cast_fp16")]; tensor var_187_promoted_to_fp16 = const()[name = tensor("op_187_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_188_cast_fp16 = mul(x = app_launches_bucket_after_5_cast_fp16, y = var_187_promoted_to_fp16)[name = tensor("op_188_cast_fp16")]; tensor var_189_cast_fp16 = add(x = var_186_cast_fp16, y = var_188_cast_fp16)[name = tensor("op_189_cast_fp16")]; tensor app_launches_bucket_sharpened_7_cast_fp16 = sub(x = var_189_cast_fp16, y = app_launches_bucket_after_7_cast_fp16)[name = tensor("app_launches_bucket_sharpened_7_cast_fp16")]; tensor var_102_promoted_3_to_fp16 = const()[name = tensor("op_102_promoted_3_to_fp16"), val = tensor(0x0p+0)]; tensor clip_3_cast_fp16 = clip(alpha = var_102_promoted_3_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_7_cast_fp16)[name = tensor("clip_3_cast_fp16")]; tensor app_launches_bucket_after_9_begin_0 = const()[name = tensor("app_launches_bucket_after_9_begin_0"), val = tensor([0, 5])]; tensor app_launches_bucket_after_9_end_0 = const()[name = tensor("app_launches_bucket_after_9_end_0"), val = tensor([0, 6])]; tensor app_launches_bucket_after_9_end_mask_0 = const()[name = tensor("app_launches_bucket_after_9_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_9_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_9_begin_0, end = app_launches_bucket_after_9_end_0, end_mask = app_launches_bucket_after_9_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_9_cast_fp16")]; tensor const_11_promoted_to_fp16 = const()[name = tensor("const_11_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_198_cast_fp16 = mul(x = app_launches_bucket_after_5_cast_fp16, y = const_11_promoted_to_fp16)[name = tensor("op_198_cast_fp16")]; tensor var_199_promoted_to_fp16 = const()[name = tensor("op_199_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_200_cast_fp16 = mul(x = app_launches_bucket_after_7_cast_fp16, y = var_199_promoted_to_fp16)[name = tensor("op_200_cast_fp16")]; tensor var_201_cast_fp16 = add(x = var_198_cast_fp16, y = var_200_cast_fp16)[name = tensor("op_201_cast_fp16")]; tensor app_launches_bucket_sharpened_9_cast_fp16 = sub(x = var_201_cast_fp16, y = app_launches_bucket_after_9_cast_fp16)[name = tensor("app_launches_bucket_sharpened_9_cast_fp16")]; tensor var_102_promoted_4_to_fp16 = const()[name = tensor("op_102_promoted_4_to_fp16"), val = tensor(0x0p+0)]; tensor clip_4_cast_fp16 = clip(alpha = var_102_promoted_4_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_9_cast_fp16)[name = tensor("clip_4_cast_fp16")]; tensor app_launches_bucket_after_11_begin_0 = const()[name = tensor("app_launches_bucket_after_11_begin_0"), val = tensor([0, 6])]; tensor app_launches_bucket_after_11_end_0 = const()[name = tensor("app_launches_bucket_after_11_end_0"), val = tensor([0, 7])]; tensor app_launches_bucket_after_11_end_mask_0 = const()[name = tensor("app_launches_bucket_after_11_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_11_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_11_begin_0, end = app_launches_bucket_after_11_end_0, end_mask = app_launches_bucket_after_11_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_11_cast_fp16")]; tensor const_12_promoted_to_fp16 = const()[name = tensor("const_12_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_210_cast_fp16 = mul(x = app_launches_bucket_after_7_cast_fp16, y = const_12_promoted_to_fp16)[name = tensor("op_210_cast_fp16")]; tensor var_211_promoted_to_fp16 = const()[name = tensor("op_211_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_212_cast_fp16 = mul(x = app_launches_bucket_after_9_cast_fp16, y = var_211_promoted_to_fp16)[name = tensor("op_212_cast_fp16")]; tensor var_213_cast_fp16 = add(x = var_210_cast_fp16, y = var_212_cast_fp16)[name = tensor("op_213_cast_fp16")]; tensor app_launches_bucket_sharpened_11_cast_fp16 = sub(x = var_213_cast_fp16, y = app_launches_bucket_after_11_cast_fp16)[name = tensor("app_launches_bucket_sharpened_11_cast_fp16")]; tensor var_102_promoted_5_to_fp16 = const()[name = tensor("op_102_promoted_5_to_fp16"), val = tensor(0x0p+0)]; tensor clip_5_cast_fp16 = clip(alpha = var_102_promoted_5_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_11_cast_fp16)[name = tensor("clip_5_cast_fp16")]; tensor app_launches_bucket_after_13_begin_0 = const()[name = tensor("app_launches_bucket_after_13_begin_0"), val = tensor([0, 7])]; tensor app_launches_bucket_after_13_end_0 = const()[name = tensor("app_launches_bucket_after_13_end_0"), val = tensor([0, 8])]; tensor app_launches_bucket_after_13_end_mask_0 = const()[name = tensor("app_launches_bucket_after_13_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_13_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_13_begin_0, end = app_launches_bucket_after_13_end_0, end_mask = app_launches_bucket_after_13_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_13_cast_fp16")]; tensor const_13_promoted_to_fp16 = const()[name = tensor("const_13_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_222_cast_fp16 = mul(x = app_launches_bucket_after_9_cast_fp16, y = const_13_promoted_to_fp16)[name = tensor("op_222_cast_fp16")]; tensor var_223_promoted_to_fp16 = const()[name = tensor("op_223_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_224_cast_fp16 = mul(x = app_launches_bucket_after_11_cast_fp16, y = var_223_promoted_to_fp16)[name = tensor("op_224_cast_fp16")]; tensor var_225_cast_fp16 = add(x = var_222_cast_fp16, y = var_224_cast_fp16)[name = tensor("op_225_cast_fp16")]; tensor app_launches_bucket_sharpened_13_cast_fp16 = sub(x = var_225_cast_fp16, y = app_launches_bucket_after_13_cast_fp16)[name = tensor("app_launches_bucket_sharpened_13_cast_fp16")]; tensor var_102_promoted_6_to_fp16 = const()[name = tensor("op_102_promoted_6_to_fp16"), val = tensor(0x0p+0)]; tensor clip_6_cast_fp16 = clip(alpha = var_102_promoted_6_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_13_cast_fp16)[name = tensor("clip_6_cast_fp16")]; tensor app_launches_bucket_after_15_begin_0 = const()[name = tensor("app_launches_bucket_after_15_begin_0"), val = tensor([0, 8])]; tensor app_launches_bucket_after_15_end_0 = const()[name = tensor("app_launches_bucket_after_15_end_0"), val = tensor([0, 9])]; tensor app_launches_bucket_after_15_end_mask_0 = const()[name = tensor("app_launches_bucket_after_15_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_15_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_15_begin_0, end = app_launches_bucket_after_15_end_0, end_mask = app_launches_bucket_after_15_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_15_cast_fp16")]; tensor const_14_promoted_to_fp16 = const()[name = tensor("const_14_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_234_cast_fp16 = mul(x = app_launches_bucket_after_11_cast_fp16, y = const_14_promoted_to_fp16)[name = tensor("op_234_cast_fp16")]; tensor var_235_promoted_to_fp16 = const()[name = tensor("op_235_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_236_cast_fp16 = mul(x = app_launches_bucket_after_13_cast_fp16, y = var_235_promoted_to_fp16)[name = tensor("op_236_cast_fp16")]; tensor var_237_cast_fp16 = add(x = var_234_cast_fp16, y = var_236_cast_fp16)[name = tensor("op_237_cast_fp16")]; tensor app_launches_bucket_sharpened_15_cast_fp16 = sub(x = var_237_cast_fp16, y = app_launches_bucket_after_15_cast_fp16)[name = tensor("app_launches_bucket_sharpened_15_cast_fp16")]; tensor var_102_promoted_7_to_fp16 = const()[name = tensor("op_102_promoted_7_to_fp16"), val = tensor(0x0p+0)]; tensor clip_7_cast_fp16 = clip(alpha = var_102_promoted_7_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_15_cast_fp16)[name = tensor("clip_7_cast_fp16")]; tensor app_launches_bucket_after_17_begin_0 = const()[name = tensor("app_launches_bucket_after_17_begin_0"), val = tensor([0, 9])]; tensor app_launches_bucket_after_17_end_0 = const()[name = tensor("app_launches_bucket_after_17_end_0"), val = tensor([0, 10])]; tensor app_launches_bucket_after_17_end_mask_0 = const()[name = tensor("app_launches_bucket_after_17_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_17_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_17_begin_0, end = app_launches_bucket_after_17_end_0, end_mask = app_launches_bucket_after_17_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_17_cast_fp16")]; tensor const_15_promoted_to_fp16 = const()[name = tensor("const_15_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_246_cast_fp16 = mul(x = app_launches_bucket_after_13_cast_fp16, y = const_15_promoted_to_fp16)[name = tensor("op_246_cast_fp16")]; tensor var_247_promoted_to_fp16 = const()[name = tensor("op_247_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_248_cast_fp16 = mul(x = app_launches_bucket_after_15_cast_fp16, y = var_247_promoted_to_fp16)[name = tensor("op_248_cast_fp16")]; tensor var_249_cast_fp16 = add(x = var_246_cast_fp16, y = var_248_cast_fp16)[name = tensor("op_249_cast_fp16")]; tensor app_launches_bucket_sharpened_17_cast_fp16 = sub(x = var_249_cast_fp16, y = app_launches_bucket_after_17_cast_fp16)[name = tensor("app_launches_bucket_sharpened_17_cast_fp16")]; tensor var_102_promoted_8_to_fp16 = const()[name = tensor("op_102_promoted_8_to_fp16"), val = tensor(0x0p+0)]; tensor clip_8_cast_fp16 = clip(alpha = var_102_promoted_8_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_17_cast_fp16)[name = tensor("clip_8_cast_fp16")]; tensor app_launches_bucket_after_19_begin_0 = const()[name = tensor("app_launches_bucket_after_19_begin_0"), val = tensor([0, 10])]; tensor app_launches_bucket_after_19_end_0 = const()[name = tensor("app_launches_bucket_after_19_end_0"), val = tensor([0, 11])]; tensor app_launches_bucket_after_19_end_mask_0 = const()[name = tensor("app_launches_bucket_after_19_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_19_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_19_begin_0, end = app_launches_bucket_after_19_end_0, end_mask = app_launches_bucket_after_19_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_19_cast_fp16")]; tensor const_16_promoted_to_fp16 = const()[name = tensor("const_16_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_258_cast_fp16 = mul(x = app_launches_bucket_after_15_cast_fp16, y = const_16_promoted_to_fp16)[name = tensor("op_258_cast_fp16")]; tensor var_259_promoted_to_fp16 = const()[name = tensor("op_259_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_260_cast_fp16 = mul(x = app_launches_bucket_after_17_cast_fp16, y = var_259_promoted_to_fp16)[name = tensor("op_260_cast_fp16")]; tensor var_261_cast_fp16 = add(x = var_258_cast_fp16, y = var_260_cast_fp16)[name = tensor("op_261_cast_fp16")]; tensor app_launches_bucket_sharpened_19_cast_fp16 = sub(x = var_261_cast_fp16, y = app_launches_bucket_after_19_cast_fp16)[name = tensor("app_launches_bucket_sharpened_19_cast_fp16")]; tensor var_102_promoted_9_to_fp16 = const()[name = tensor("op_102_promoted_9_to_fp16"), val = tensor(0x0p+0)]; tensor clip_9_cast_fp16 = clip(alpha = var_102_promoted_9_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_19_cast_fp16)[name = tensor("clip_9_cast_fp16")]; tensor app_launches_bucket_after_21_begin_0 = const()[name = tensor("app_launches_bucket_after_21_begin_0"), val = tensor([0, 11])]; tensor app_launches_bucket_after_21_end_0 = const()[name = tensor("app_launches_bucket_after_21_end_0"), val = tensor([0, 12])]; tensor app_launches_bucket_after_21_end_mask_0 = const()[name = tensor("app_launches_bucket_after_21_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_21_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_21_begin_0, end = app_launches_bucket_after_21_end_0, end_mask = app_launches_bucket_after_21_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_21_cast_fp16")]; tensor const_17_promoted_to_fp16 = const()[name = tensor("const_17_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_270_cast_fp16 = mul(x = app_launches_bucket_after_17_cast_fp16, y = const_17_promoted_to_fp16)[name = tensor("op_270_cast_fp16")]; tensor var_271_promoted_to_fp16 = const()[name = tensor("op_271_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_272_cast_fp16 = mul(x = app_launches_bucket_after_19_cast_fp16, y = var_271_promoted_to_fp16)[name = tensor("op_272_cast_fp16")]; tensor var_273_cast_fp16 = add(x = var_270_cast_fp16, y = var_272_cast_fp16)[name = tensor("op_273_cast_fp16")]; tensor app_launches_bucket_sharpened_21_cast_fp16 = sub(x = var_273_cast_fp16, y = app_launches_bucket_after_21_cast_fp16)[name = tensor("app_launches_bucket_sharpened_21_cast_fp16")]; tensor var_102_promoted_10_to_fp16 = const()[name = tensor("op_102_promoted_10_to_fp16"), val = tensor(0x0p+0)]; tensor clip_10_cast_fp16 = clip(alpha = var_102_promoted_10_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_21_cast_fp16)[name = tensor("clip_10_cast_fp16")]; tensor app_launches_bucket_after_23_begin_0 = const()[name = tensor("app_launches_bucket_after_23_begin_0"), val = tensor([0, 12])]; tensor app_launches_bucket_after_23_end_0 = const()[name = tensor("app_launches_bucket_after_23_end_0"), val = tensor([0, 13])]; tensor app_launches_bucket_after_23_end_mask_0 = const()[name = tensor("app_launches_bucket_after_23_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_23_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_23_begin_0, end = app_launches_bucket_after_23_end_0, end_mask = app_launches_bucket_after_23_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_23_cast_fp16")]; tensor const_18_promoted_to_fp16 = const()[name = tensor("const_18_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_282_cast_fp16 = mul(x = app_launches_bucket_after_19_cast_fp16, y = const_18_promoted_to_fp16)[name = tensor("op_282_cast_fp16")]; tensor var_283_promoted_to_fp16 = const()[name = tensor("op_283_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_284_cast_fp16 = mul(x = app_launches_bucket_after_21_cast_fp16, y = var_283_promoted_to_fp16)[name = tensor("op_284_cast_fp16")]; tensor var_285_cast_fp16 = add(x = var_282_cast_fp16, y = var_284_cast_fp16)[name = tensor("op_285_cast_fp16")]; tensor app_launches_bucket_sharpened_23_cast_fp16 = sub(x = var_285_cast_fp16, y = app_launches_bucket_after_23_cast_fp16)[name = tensor("app_launches_bucket_sharpened_23_cast_fp16")]; tensor var_102_promoted_11_to_fp16 = const()[name = tensor("op_102_promoted_11_to_fp16"), val = tensor(0x0p+0)]; tensor clip_11_cast_fp16 = clip(alpha = var_102_promoted_11_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_23_cast_fp16)[name = tensor("clip_11_cast_fp16")]; tensor app_launches_bucket_after_25_begin_0 = const()[name = tensor("app_launches_bucket_after_25_begin_0"), val = tensor([0, 13])]; tensor app_launches_bucket_after_25_end_0 = const()[name = tensor("app_launches_bucket_after_25_end_0"), val = tensor([0, 14])]; tensor app_launches_bucket_after_25_end_mask_0 = const()[name = tensor("app_launches_bucket_after_25_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_25_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_25_begin_0, end = app_launches_bucket_after_25_end_0, end_mask = app_launches_bucket_after_25_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_25_cast_fp16")]; tensor const_19_promoted_to_fp16 = const()[name = tensor("const_19_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_294_cast_fp16 = mul(x = app_launches_bucket_after_21_cast_fp16, y = const_19_promoted_to_fp16)[name = tensor("op_294_cast_fp16")]; tensor var_295_promoted_to_fp16 = const()[name = tensor("op_295_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_296_cast_fp16 = mul(x = app_launches_bucket_after_23_cast_fp16, y = var_295_promoted_to_fp16)[name = tensor("op_296_cast_fp16")]; tensor var_297_cast_fp16 = add(x = var_294_cast_fp16, y = var_296_cast_fp16)[name = tensor("op_297_cast_fp16")]; tensor app_launches_bucket_sharpened_25_cast_fp16 = sub(x = var_297_cast_fp16, y = app_launches_bucket_after_25_cast_fp16)[name = tensor("app_launches_bucket_sharpened_25_cast_fp16")]; tensor var_102_promoted_12_to_fp16 = const()[name = tensor("op_102_promoted_12_to_fp16"), val = tensor(0x0p+0)]; tensor clip_12_cast_fp16 = clip(alpha = var_102_promoted_12_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_25_cast_fp16)[name = tensor("clip_12_cast_fp16")]; tensor app_launches_bucket_after_27_begin_0 = const()[name = tensor("app_launches_bucket_after_27_begin_0"), val = tensor([0, 14])]; tensor app_launches_bucket_after_27_end_0 = const()[name = tensor("app_launches_bucket_after_27_end_0"), val = tensor([0, 15])]; tensor app_launches_bucket_after_27_end_mask_0 = const()[name = tensor("app_launches_bucket_after_27_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_27_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_27_begin_0, end = app_launches_bucket_after_27_end_0, end_mask = app_launches_bucket_after_27_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_27_cast_fp16")]; tensor const_20_promoted_to_fp16 = const()[name = tensor("const_20_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_306_cast_fp16 = mul(x = app_launches_bucket_after_23_cast_fp16, y = const_20_promoted_to_fp16)[name = tensor("op_306_cast_fp16")]; tensor var_307_promoted_to_fp16 = const()[name = tensor("op_307_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_308_cast_fp16 = mul(x = app_launches_bucket_after_25_cast_fp16, y = var_307_promoted_to_fp16)[name = tensor("op_308_cast_fp16")]; tensor var_309_cast_fp16 = add(x = var_306_cast_fp16, y = var_308_cast_fp16)[name = tensor("op_309_cast_fp16")]; tensor app_launches_bucket_sharpened_27_cast_fp16 = sub(x = var_309_cast_fp16, y = app_launches_bucket_after_27_cast_fp16)[name = tensor("app_launches_bucket_sharpened_27_cast_fp16")]; tensor var_102_promoted_13_to_fp16 = const()[name = tensor("op_102_promoted_13_to_fp16"), val = tensor(0x0p+0)]; tensor clip_13_cast_fp16 = clip(alpha = var_102_promoted_13_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_27_cast_fp16)[name = tensor("clip_13_cast_fp16")]; tensor app_launches_bucket_after_29_begin_0 = const()[name = tensor("app_launches_bucket_after_29_begin_0"), val = tensor([0, 15])]; tensor app_launches_bucket_after_29_end_0 = const()[name = tensor("app_launches_bucket_after_29_end_0"), val = tensor([0, 16])]; tensor app_launches_bucket_after_29_end_mask_0 = const()[name = tensor("app_launches_bucket_after_29_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_29_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_29_begin_0, end = app_launches_bucket_after_29_end_0, end_mask = app_launches_bucket_after_29_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_29_cast_fp16")]; tensor const_21_promoted_to_fp16 = const()[name = tensor("const_21_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_318_cast_fp16 = mul(x = app_launches_bucket_after_25_cast_fp16, y = const_21_promoted_to_fp16)[name = tensor("op_318_cast_fp16")]; tensor var_319_promoted_to_fp16 = const()[name = tensor("op_319_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_320_cast_fp16 = mul(x = app_launches_bucket_after_27_cast_fp16, y = var_319_promoted_to_fp16)[name = tensor("op_320_cast_fp16")]; tensor var_321_cast_fp16 = add(x = var_318_cast_fp16, y = var_320_cast_fp16)[name = tensor("op_321_cast_fp16")]; tensor app_launches_bucket_sharpened_29_cast_fp16 = sub(x = var_321_cast_fp16, y = app_launches_bucket_after_29_cast_fp16)[name = tensor("app_launches_bucket_sharpened_29_cast_fp16")]; tensor var_102_promoted_14_to_fp16 = const()[name = tensor("op_102_promoted_14_to_fp16"), val = tensor(0x0p+0)]; tensor clip_14_cast_fp16 = clip(alpha = var_102_promoted_14_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_29_cast_fp16)[name = tensor("clip_14_cast_fp16")]; tensor app_launches_bucket_after_31_begin_0 = const()[name = tensor("app_launches_bucket_after_31_begin_0"), val = tensor([0, 16])]; tensor app_launches_bucket_after_31_end_0 = const()[name = tensor("app_launches_bucket_after_31_end_0"), val = tensor([0, 17])]; tensor app_launches_bucket_after_31_end_mask_0 = const()[name = tensor("app_launches_bucket_after_31_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_31_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_31_begin_0, end = app_launches_bucket_after_31_end_0, end_mask = app_launches_bucket_after_31_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_31_cast_fp16")]; tensor const_22_promoted_to_fp16 = const()[name = tensor("const_22_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_330_cast_fp16 = mul(x = app_launches_bucket_after_27_cast_fp16, y = const_22_promoted_to_fp16)[name = tensor("op_330_cast_fp16")]; tensor var_331_promoted_to_fp16 = const()[name = tensor("op_331_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_332_cast_fp16 = mul(x = app_launches_bucket_after_29_cast_fp16, y = var_331_promoted_to_fp16)[name = tensor("op_332_cast_fp16")]; tensor var_333_cast_fp16 = add(x = var_330_cast_fp16, y = var_332_cast_fp16)[name = tensor("op_333_cast_fp16")]; tensor app_launches_bucket_sharpened_31_cast_fp16 = sub(x = var_333_cast_fp16, y = app_launches_bucket_after_31_cast_fp16)[name = tensor("app_launches_bucket_sharpened_31_cast_fp16")]; tensor var_102_promoted_15_to_fp16 = const()[name = tensor("op_102_promoted_15_to_fp16"), val = tensor(0x0p+0)]; tensor clip_15_cast_fp16 = clip(alpha = var_102_promoted_15_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_31_cast_fp16)[name = tensor("clip_15_cast_fp16")]; tensor app_launches_bucket_after_33_begin_0 = const()[name = tensor("app_launches_bucket_after_33_begin_0"), val = tensor([0, 17])]; tensor app_launches_bucket_after_33_end_0 = const()[name = tensor("app_launches_bucket_after_33_end_0"), val = tensor([0, 18])]; tensor app_launches_bucket_after_33_end_mask_0 = const()[name = tensor("app_launches_bucket_after_33_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_33_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_33_begin_0, end = app_launches_bucket_after_33_end_0, end_mask = app_launches_bucket_after_33_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_33_cast_fp16")]; tensor const_23_promoted_to_fp16 = const()[name = tensor("const_23_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_342_cast_fp16 = mul(x = app_launches_bucket_after_29_cast_fp16, y = const_23_promoted_to_fp16)[name = tensor("op_342_cast_fp16")]; tensor var_343_promoted_to_fp16 = const()[name = tensor("op_343_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_344_cast_fp16 = mul(x = app_launches_bucket_after_31_cast_fp16, y = var_343_promoted_to_fp16)[name = tensor("op_344_cast_fp16")]; tensor var_345_cast_fp16 = add(x = var_342_cast_fp16, y = var_344_cast_fp16)[name = tensor("op_345_cast_fp16")]; tensor app_launches_bucket_sharpened_33_cast_fp16 = sub(x = var_345_cast_fp16, y = app_launches_bucket_after_33_cast_fp16)[name = tensor("app_launches_bucket_sharpened_33_cast_fp16")]; tensor var_102_promoted_16_to_fp16 = const()[name = tensor("op_102_promoted_16_to_fp16"), val = tensor(0x0p+0)]; tensor clip_16_cast_fp16 = clip(alpha = var_102_promoted_16_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_33_cast_fp16)[name = tensor("clip_16_cast_fp16")]; tensor app_launches_bucket_after_35_begin_0 = const()[name = tensor("app_launches_bucket_after_35_begin_0"), val = tensor([0, 18])]; tensor app_launches_bucket_after_35_end_0 = const()[name = tensor("app_launches_bucket_after_35_end_0"), val = tensor([0, 19])]; tensor app_launches_bucket_after_35_end_mask_0 = const()[name = tensor("app_launches_bucket_after_35_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_35_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_35_begin_0, end = app_launches_bucket_after_35_end_0, end_mask = app_launches_bucket_after_35_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_35_cast_fp16")]; tensor const_24_promoted_to_fp16 = const()[name = tensor("const_24_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_354_cast_fp16 = mul(x = app_launches_bucket_after_31_cast_fp16, y = const_24_promoted_to_fp16)[name = tensor("op_354_cast_fp16")]; tensor var_355_promoted_to_fp16 = const()[name = tensor("op_355_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_356_cast_fp16 = mul(x = app_launches_bucket_after_33_cast_fp16, y = var_355_promoted_to_fp16)[name = tensor("op_356_cast_fp16")]; tensor var_357_cast_fp16 = add(x = var_354_cast_fp16, y = var_356_cast_fp16)[name = tensor("op_357_cast_fp16")]; tensor app_launches_bucket_sharpened_35_cast_fp16 = sub(x = var_357_cast_fp16, y = app_launches_bucket_after_35_cast_fp16)[name = tensor("app_launches_bucket_sharpened_35_cast_fp16")]; tensor var_102_promoted_17_to_fp16 = const()[name = tensor("op_102_promoted_17_to_fp16"), val = tensor(0x0p+0)]; tensor clip_17_cast_fp16 = clip(alpha = var_102_promoted_17_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_35_cast_fp16)[name = tensor("clip_17_cast_fp16")]; tensor app_launches_bucket_after_37_begin_0 = const()[name = tensor("app_launches_bucket_after_37_begin_0"), val = tensor([0, 19])]; tensor app_launches_bucket_after_37_end_0 = const()[name = tensor("app_launches_bucket_after_37_end_0"), val = tensor([0, 20])]; tensor app_launches_bucket_after_37_end_mask_0 = const()[name = tensor("app_launches_bucket_after_37_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_37_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_37_begin_0, end = app_launches_bucket_after_37_end_0, end_mask = app_launches_bucket_after_37_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_37_cast_fp16")]; tensor const_25_promoted_to_fp16 = const()[name = tensor("const_25_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_366_cast_fp16 = mul(x = app_launches_bucket_after_33_cast_fp16, y = const_25_promoted_to_fp16)[name = tensor("op_366_cast_fp16")]; tensor var_367_promoted_to_fp16 = const()[name = tensor("op_367_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_368_cast_fp16 = mul(x = app_launches_bucket_after_35_cast_fp16, y = var_367_promoted_to_fp16)[name = tensor("op_368_cast_fp16")]; tensor var_369_cast_fp16 = add(x = var_366_cast_fp16, y = var_368_cast_fp16)[name = tensor("op_369_cast_fp16")]; tensor app_launches_bucket_sharpened_37_cast_fp16 = sub(x = var_369_cast_fp16, y = app_launches_bucket_after_37_cast_fp16)[name = tensor("app_launches_bucket_sharpened_37_cast_fp16")]; tensor var_102_promoted_18_to_fp16 = const()[name = tensor("op_102_promoted_18_to_fp16"), val = tensor(0x0p+0)]; tensor clip_18_cast_fp16 = clip(alpha = var_102_promoted_18_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_37_cast_fp16)[name = tensor("clip_18_cast_fp16")]; tensor app_launches_bucket_after_39_begin_0 = const()[name = tensor("app_launches_bucket_after_39_begin_0"), val = tensor([0, 20])]; tensor app_launches_bucket_after_39_end_0 = const()[name = tensor("app_launches_bucket_after_39_end_0"), val = tensor([0, 21])]; tensor app_launches_bucket_after_39_end_mask_0 = const()[name = tensor("app_launches_bucket_after_39_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_39_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_39_begin_0, end = app_launches_bucket_after_39_end_0, end_mask = app_launches_bucket_after_39_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_39_cast_fp16")]; tensor const_26_promoted_to_fp16 = const()[name = tensor("const_26_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_378_cast_fp16 = mul(x = app_launches_bucket_after_35_cast_fp16, y = const_26_promoted_to_fp16)[name = tensor("op_378_cast_fp16")]; tensor var_379_promoted_to_fp16 = const()[name = tensor("op_379_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_380_cast_fp16 = mul(x = app_launches_bucket_after_37_cast_fp16, y = var_379_promoted_to_fp16)[name = tensor("op_380_cast_fp16")]; tensor var_381_cast_fp16 = add(x = var_378_cast_fp16, y = var_380_cast_fp16)[name = tensor("op_381_cast_fp16")]; tensor app_launches_bucket_sharpened_39_cast_fp16 = sub(x = var_381_cast_fp16, y = app_launches_bucket_after_39_cast_fp16)[name = tensor("app_launches_bucket_sharpened_39_cast_fp16")]; tensor var_102_promoted_19_to_fp16 = const()[name = tensor("op_102_promoted_19_to_fp16"), val = tensor(0x0p+0)]; tensor clip_19_cast_fp16 = clip(alpha = var_102_promoted_19_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_39_cast_fp16)[name = tensor("clip_19_cast_fp16")]; tensor app_launches_bucket_after_41_begin_0 = const()[name = tensor("app_launches_bucket_after_41_begin_0"), val = tensor([0, 21])]; tensor app_launches_bucket_after_41_end_0 = const()[name = tensor("app_launches_bucket_after_41_end_0"), val = tensor([0, 22])]; tensor app_launches_bucket_after_41_end_mask_0 = const()[name = tensor("app_launches_bucket_after_41_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_41_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_41_begin_0, end = app_launches_bucket_after_41_end_0, end_mask = app_launches_bucket_after_41_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_41_cast_fp16")]; tensor const_27_promoted_to_fp16 = const()[name = tensor("const_27_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_390_cast_fp16 = mul(x = app_launches_bucket_after_37_cast_fp16, y = const_27_promoted_to_fp16)[name = tensor("op_390_cast_fp16")]; tensor var_391_promoted_to_fp16 = const()[name = tensor("op_391_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_392_cast_fp16 = mul(x = app_launches_bucket_after_39_cast_fp16, y = var_391_promoted_to_fp16)[name = tensor("op_392_cast_fp16")]; tensor var_393_cast_fp16 = add(x = var_390_cast_fp16, y = var_392_cast_fp16)[name = tensor("op_393_cast_fp16")]; tensor app_launches_bucket_sharpened_41_cast_fp16 = sub(x = var_393_cast_fp16, y = app_launches_bucket_after_41_cast_fp16)[name = tensor("app_launches_bucket_sharpened_41_cast_fp16")]; tensor var_102_promoted_20_to_fp16 = const()[name = tensor("op_102_promoted_20_to_fp16"), val = tensor(0x0p+0)]; tensor clip_20_cast_fp16 = clip(alpha = var_102_promoted_20_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_41_cast_fp16)[name = tensor("clip_20_cast_fp16")]; tensor app_launches_bucket_after_43_begin_0 = const()[name = tensor("app_launches_bucket_after_43_begin_0"), val = tensor([0, 22])]; tensor app_launches_bucket_after_43_end_0 = const()[name = tensor("app_launches_bucket_after_43_end_0"), val = tensor([0, 23])]; tensor app_launches_bucket_after_43_end_mask_0 = const()[name = tensor("app_launches_bucket_after_43_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_43_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_43_begin_0, end = app_launches_bucket_after_43_end_0, end_mask = app_launches_bucket_after_43_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_43_cast_fp16")]; tensor const_28_promoted_to_fp16 = const()[name = tensor("const_28_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_402_cast_fp16 = mul(x = app_launches_bucket_after_39_cast_fp16, y = const_28_promoted_to_fp16)[name = tensor("op_402_cast_fp16")]; tensor var_403_promoted_to_fp16 = const()[name = tensor("op_403_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_404_cast_fp16 = mul(x = app_launches_bucket_after_41_cast_fp16, y = var_403_promoted_to_fp16)[name = tensor("op_404_cast_fp16")]; tensor var_405_cast_fp16 = add(x = var_402_cast_fp16, y = var_404_cast_fp16)[name = tensor("op_405_cast_fp16")]; tensor app_launches_bucket_sharpened_43_cast_fp16 = sub(x = var_405_cast_fp16, y = app_launches_bucket_after_43_cast_fp16)[name = tensor("app_launches_bucket_sharpened_43_cast_fp16")]; tensor var_102_promoted_21_to_fp16 = const()[name = tensor("op_102_promoted_21_to_fp16"), val = tensor(0x0p+0)]; tensor clip_21_cast_fp16 = clip(alpha = var_102_promoted_21_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_43_cast_fp16)[name = tensor("clip_21_cast_fp16")]; tensor app_launches_bucket_after_45_begin_0 = const()[name = tensor("app_launches_bucket_after_45_begin_0"), val = tensor([0, 23])]; tensor app_launches_bucket_after_45_end_0 = const()[name = tensor("app_launches_bucket_after_45_end_0"), val = tensor([0, 24])]; tensor app_launches_bucket_after_45_end_mask_0 = const()[name = tensor("app_launches_bucket_after_45_end_mask_0"), val = tensor([true, false])]; tensor app_launches_bucket_after_45_cast_fp16 = slice_by_index(begin = app_launches_bucket_after_45_begin_0, end = app_launches_bucket_after_45_end_0, end_mask = app_launches_bucket_after_45_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("app_launches_bucket_after_45_cast_fp16")]; tensor const_29_promoted_to_fp16 = const()[name = tensor("const_29_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_414_cast_fp16 = mul(x = app_launches_bucket_after_41_cast_fp16, y = const_29_promoted_to_fp16)[name = tensor("op_414_cast_fp16")]; tensor var_415_promoted_to_fp16 = const()[name = tensor("op_415_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_416_cast_fp16 = mul(x = app_launches_bucket_after_43_cast_fp16, y = var_415_promoted_to_fp16)[name = tensor("op_416_cast_fp16")]; tensor var_417_cast_fp16 = add(x = var_414_cast_fp16, y = var_416_cast_fp16)[name = tensor("op_417_cast_fp16")]; tensor app_launches_bucket_sharpened_45_cast_fp16 = sub(x = var_417_cast_fp16, y = app_launches_bucket_after_45_cast_fp16)[name = tensor("app_launches_bucket_sharpened_45_cast_fp16")]; tensor var_102_promoted_22_to_fp16 = const()[name = tensor("op_102_promoted_22_to_fp16"), val = tensor(0x0p+0)]; tensor clip_22_cast_fp16 = clip(alpha = var_102_promoted_22_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_45_cast_fp16)[name = tensor("clip_22_cast_fp16")]; tensor const_30_promoted_to_fp16 = const()[name = tensor("const_30_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_426_cast_fp16 = mul(x = app_launches_bucket_after_43_cast_fp16, y = const_30_promoted_to_fp16)[name = tensor("op_426_cast_fp16")]; tensor var_427_promoted_to_fp16 = const()[name = tensor("op_427_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_428_cast_fp16 = mul(x = app_launches_bucket_after_45_cast_fp16, y = var_427_promoted_to_fp16)[name = tensor("op_428_cast_fp16")]; tensor var_429_cast_fp16 = add(x = var_426_cast_fp16, y = var_428_cast_fp16)[name = tensor("op_429_cast_fp16")]; tensor app_launches_bucket_sharpened_47_cast_fp16 = sub(x = var_429_cast_fp16, y = app_launches_bucket_before_1_cast_fp16)[name = tensor("app_launches_bucket_sharpened_47_cast_fp16")]; tensor var_102_promoted_23_to_fp16 = const()[name = tensor("op_102_promoted_23_to_fp16"), val = tensor(0x0p+0)]; tensor clip_23_cast_fp16 = clip(alpha = var_102_promoted_23_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_47_cast_fp16)[name = tensor("clip_23_cast_fp16")]; tensor const_31_promoted_to_fp16 = const()[name = tensor("const_31_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_438_cast_fp16 = mul(x = app_launches_bucket_after_45_cast_fp16, y = const_31_promoted_to_fp16)[name = tensor("op_438_cast_fp16")]; tensor var_439_promoted_to_fp16 = const()[name = tensor("op_439_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_440_cast_fp16 = mul(x = app_launches_bucket_before_1_cast_fp16, y = var_439_promoted_to_fp16)[name = tensor("op_440_cast_fp16")]; tensor var_441_cast_fp16 = add(x = var_438_cast_fp16, y = var_440_cast_fp16)[name = tensor("op_441_cast_fp16")]; tensor app_launches_bucket_sharpened_cast_fp16 = sub(x = var_441_cast_fp16, y = app_launches_bucket_1_cast_fp16)[name = tensor("app_launches_bucket_sharpened_cast_fp16")]; tensor var_102_promoted_24_to_fp16 = const()[name = tensor("op_102_promoted_24_to_fp16"), val = tensor(0x0p+0)]; tensor clip_24_cast_fp16 = clip(alpha = var_102_promoted_24_to_fp16, beta = var_84_to_fp16, x = app_launches_bucket_sharpened_cast_fp16)[name = tensor("clip_24_cast_fp16")]; tensor all_sharpened_launches_in_time_buckets_interleave_0 = const()[name = tensor("all_sharpened_launches_in_time_buckets_interleave_0"), val = tensor(false)]; tensor all_sharpened_launches_in_time_buckets_cast_fp16 = concat(axis = var_100, interleave = all_sharpened_launches_in_time_buckets_interleave_0, values = (clip_0_cast_fp16, clip_1_cast_fp16, clip_2_cast_fp16, clip_3_cast_fp16, clip_4_cast_fp16, clip_5_cast_fp16, clip_6_cast_fp16, clip_7_cast_fp16, clip_8_cast_fp16, clip_9_cast_fp16, clip_10_cast_fp16, clip_11_cast_fp16, clip_12_cast_fp16, clip_13_cast_fp16, clip_14_cast_fp16, clip_15_cast_fp16, clip_16_cast_fp16, clip_17_cast_fp16, clip_18_cast_fp16, clip_19_cast_fp16, clip_20_cast_fp16, clip_21_cast_fp16, clip_22_cast_fp16, clip_23_cast_fp16, clip_24_cast_fp16))[name = tensor("all_sharpened_launches_in_time_buckets_cast_fp16")]; tensor var_447_axes_0 = const()[name = tensor("op_447_axes_0"), val = tensor([1])]; tensor var_447_keep_dims_0 = const()[name = tensor("op_447_keep_dims_0"), val = tensor(true)]; tensor var_447_cast_fp16 = reduce_sum(axes = var_447_axes_0, keep_dims = var_447_keep_dims_0, x = all_sharpened_launches_in_time_buckets_cast_fp16)[name = tensor("op_447_cast_fp16")]; tensor var_448_to_fp16 = const()[name = tensor("op_448_to_fp16"), val = tensor(0x1p-23)]; tensor total_sharpened_launches_in_time_buckets_cast_fp16 = add(x = var_447_cast_fp16, y = var_448_to_fp16)[name = tensor("total_sharpened_launches_in_time_buckets_cast_fp16")]; tensor normalized_sharpened_launches_cast_fp16 = real_div(x = all_sharpened_launches_in_time_buckets_cast_fp16, y = total_sharpened_launches_in_time_buckets_cast_fp16)[name = tensor("normalized_sharpened_launches_cast_fp16")]; tensor var_65_to_fp16 = const()[name = tensor("op_65_to_fp16"), val = tensor(0x1.47cp-6)]; tensor var_451_cast_fp16 = greater_equal(x = normalized_sharpened_launches_cast_fp16, y = var_65_to_fp16)[name = tensor("op_451_cast_fp16")]; tensor var_453_axes_0 = const()[name = tensor("op_453_axes_0"), val = tensor([1])]; tensor var_453_keep_dims_0 = const()[name = tensor("op_453_keep_dims_0"), val = tensor(true)]; tensor cast_9_to_fp16_dtype_0 = const()[name = tensor("cast_9_to_fp16_dtype_0"), val = tensor("fp16")]; tensor var_451_cast_fp16_to_fp16 = cast(dtype = cast_9_to_fp16_dtype_0, x = var_451_cast_fp16)[name = tensor("cast_118")]; tensor var_453_cast_fp16 = reduce_sum(axes = var_453_axes_0, keep_dims = var_453_keep_dims_0, x = var_451_cast_fp16_to_fp16)[name = tensor("op_453_cast_fp16")]; tensor var_81_promoted_to_fp16 = const()[name = tensor("op_81_promoted_to_fp16"), val = tensor(0x1.cp+2)]; tensor var_454_cast_fp16 = less_equal(x = var_453_cast_fp16, y = var_81_promoted_to_fp16)[name = tensor("op_454_cast_fp16")]; tensor var_64_to_fp16 = const()[name = tensor("op_64_to_fp16"), val = tensor(0x1.3d8p-2)]; tensor var_455_cast_fp16 = greater_equal(x = normalized_sharpened_launches_cast_fp16, y = var_64_to_fp16)[name = tensor("op_455_cast_fp16")]; tensor var_457_axes_0 = const()[name = tensor("op_457_axes_0"), val = tensor([1])]; tensor var_457_keep_dims_0 = const()[name = tensor("op_457_keep_dims_0"), val = tensor(true)]; tensor cast_10_to_fp16_dtype_0 = const()[name = tensor("cast_10_to_fp16_dtype_0"), val = tensor("fp16")]; tensor var_455_cast_fp16_to_fp16 = cast(dtype = cast_10_to_fp16_dtype_0, x = var_455_cast_fp16)[name = tensor("cast_117")]; tensor var_457_cast_fp16 = reduce_sum(axes = var_457_axes_0, keep_dims = var_457_keep_dims_0, x = var_455_cast_fp16_to_fp16)[name = tensor("op_457_cast_fp16")]; tensor var_100_promoted_to_fp16 = const()[name = tensor("op_100_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_458_cast_fp16 = greater_equal(x = var_457_cast_fp16, y = var_100_promoted_to_fp16)[name = tensor("op_458_cast_fp16")]; tensor app_is_time_dependent = logical_and(x = var_454_cast_fp16, y = var_458_cast_fp16)[name = tensor("app_is_time_dependent")]; tensor var_461_begin_0 = const()[name = tensor("op_461_begin_0"), val = tensor([0, 25])]; tensor var_461_end_0 = const()[name = tensor("op_461_end_0"), val = tensor([0, 26])]; tensor var_461_end_mask_0 = const()[name = tensor("op_461_end_mask_0"), val = tensor([true, false])]; tensor var_461_cast_fp16 = slice_by_index(begin = var_461_begin_0, end = var_461_end_0, end_mask = var_461_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_461_cast_fp16")]; tensor var_463_begin_0 = const()[name = tensor("op_463_begin_0"), val = tensor([0, 26])]; tensor var_463_end_0 = const()[name = tensor("op_463_end_0"), val = tensor([0, 27])]; tensor var_463_end_mask_0 = const()[name = tensor("op_463_end_mask_0"), val = tensor([true, false])]; tensor var_463_cast_fp16 = slice_by_index(begin = var_463_begin_0, end = var_463_end_0, end_mask = var_463_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_463_cast_fp16")]; tensor num_weekend_launches_cast_fp16 = add(x = var_461_cast_fp16, y = var_463_cast_fp16)[name = tensor("num_weekend_launches_cast_fp16")]; tensor var_466_begin_0 = const()[name = tensor("op_466_begin_0"), val = tensor([0, 27])]; tensor var_466_end_0 = const()[name = tensor("op_466_end_0"), val = tensor([0, 28])]; tensor var_466_end_mask_0 = const()[name = tensor("op_466_end_mask_0"), val = tensor([true, false])]; tensor var_466_cast_fp16 = slice_by_index(begin = var_466_begin_0, end = var_466_end_0, end_mask = var_466_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_466_cast_fp16")]; tensor var_468_begin_0 = const()[name = tensor("op_468_begin_0"), val = tensor([0, 28])]; tensor var_468_end_0 = const()[name = tensor("op_468_end_0"), val = tensor([0, 29])]; tensor var_468_end_mask_0 = const()[name = tensor("op_468_end_mask_0"), val = tensor([true, false])]; tensor var_468_cast_fp16 = slice_by_index(begin = var_468_begin_0, end = var_468_end_0, end_mask = var_468_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_468_cast_fp16")]; tensor var_469_cast_fp16 = add(x = var_466_cast_fp16, y = var_468_cast_fp16)[name = tensor("op_469_cast_fp16")]; tensor var_471_begin_0 = const()[name = tensor("op_471_begin_0"), val = tensor([0, 29])]; tensor var_471_end_0 = const()[name = tensor("op_471_end_0"), val = tensor([0, 30])]; tensor var_471_end_mask_0 = const()[name = tensor("op_471_end_mask_0"), val = tensor([true, false])]; tensor var_471_cast_fp16 = slice_by_index(begin = var_471_begin_0, end = var_471_end_0, end_mask = var_471_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_471_cast_fp16")]; tensor var_472_cast_fp16 = add(x = var_469_cast_fp16, y = var_471_cast_fp16)[name = tensor("op_472_cast_fp16")]; tensor var_474_begin_0 = const()[name = tensor("op_474_begin_0"), val = tensor([0, 30])]; tensor var_474_end_0 = const()[name = tensor("op_474_end_0"), val = tensor([0, 31])]; tensor var_474_end_mask_0 = const()[name = tensor("op_474_end_mask_0"), val = tensor([true, false])]; tensor var_474_cast_fp16 = slice_by_index(begin = var_474_begin_0, end = var_474_end_0, end_mask = var_474_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_474_cast_fp16")]; tensor var_475_cast_fp16 = add(x = var_472_cast_fp16, y = var_474_cast_fp16)[name = tensor("op_475_cast_fp16")]; tensor var_477_begin_0 = const()[name = tensor("op_477_begin_0"), val = tensor([0, 31])]; tensor var_477_end_0 = const()[name = tensor("op_477_end_0"), val = tensor([0, 32])]; tensor var_477_end_mask_0 = const()[name = tensor("op_477_end_mask_0"), val = tensor([true, false])]; tensor var_477_cast_fp16 = slice_by_index(begin = var_477_begin_0, end = var_477_end_0, end_mask = var_477_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_477_cast_fp16")]; tensor num_weekday_launches_cast_fp16 = add(x = var_475_cast_fp16, y = var_477_cast_fp16)[name = tensor("num_weekday_launches_cast_fp16")]; tensor var_479_cast_fp16 = add(x = num_weekend_launches_cast_fp16, y = num_weekday_launches_cast_fp16)[name = tensor("op_479_cast_fp16")]; tensor var_480_to_fp16 = const()[name = tensor("op_480_to_fp16"), val = tensor(0x1p-23)]; tensor var_481_cast_fp16 = add(x = var_479_cast_fp16, y = var_480_to_fp16)[name = tensor("op_481_cast_fp16")]; tensor prob_weekend_given_app_cast_fp16 = real_div(x = num_weekend_launches_cast_fp16, y = var_481_cast_fp16)[name = tensor("prob_weekend_given_app_cast_fp16")]; tensor var_56_to_fp16 = const()[name = tensor("op_56_to_fp16"), val = tensor(0x1.47cp-4)]; tensor var_483_cast_fp16 = less_equal(x = prob_weekend_given_app_cast_fp16, y = var_56_to_fp16)[name = tensor("op_483_cast_fp16")]; tensor var_55_to_fp16 = const()[name = tensor("op_55_to_fp16"), val = tensor(0x1.d7p-1)]; tensor var_484_cast_fp16 = greater_equal(x = prob_weekend_given_app_cast_fp16, y = var_55_to_fp16)[name = tensor("op_484_cast_fp16")]; tensor var_485 = logical_or(x = var_483_cast_fp16, y = var_484_cast_fp16)[name = tensor("op_485")]; tensor var_485_promoted_dtype_0 = const()[name = tensor("op_485_promoted_dtype_0"), val = tensor("int32")]; tensor var_485_promoted = cast(dtype = var_485_promoted_dtype_0, x = var_485)[name = tensor("cast_116")]; tensor app_is_part_of_week_dependent = greater_equal(x = var_485_promoted, y = var_100)[name = tensor("app_is_part_of_week_dependent")]; tensor is_date_in_weekend_on_device_begin_0 = const()[name = tensor("is_date_in_weekend_on_device_begin_0"), val = tensor([0, 70])]; tensor is_date_in_weekend_on_device_end_0 = const()[name = tensor("is_date_in_weekend_on_device_end_0"), val = tensor([0, 71])]; tensor is_date_in_weekend_on_device_end_mask_0 = const()[name = tensor("is_date_in_weekend_on_device_end_mask_0"), val = tensor([true, false])]; tensor is_date_in_weekend_on_device_cast_fp16 = slice_by_index(begin = is_date_in_weekend_on_device_begin_0, end = is_date_in_weekend_on_device_end_0, end_mask = is_date_in_weekend_on_device_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("is_date_in_weekend_on_device_cast_fp16")]; tensor var_102_promoted_25_to_fp16 = const()[name = tensor("op_102_promoted_25_to_fp16"), val = tensor(0x0p+0)]; tensor var_489_cast_fp16 = less_equal(x = is_date_in_weekend_on_device_cast_fp16, y = var_102_promoted_25_to_fp16)[name = tensor("op_489_cast_fp16")]; tensor var_52_to_fp16 = const()[name = tensor("op_52_to_fp16"), val = tensor(0x1.998p-5)]; tensor var_490_cast_fp16 = less_equal(x = prob_weekend_given_app_cast_fp16, y = var_52_to_fp16)[name = tensor("op_490_cast_fp16")]; tensor var_491 = logical_and(x = var_489_cast_fp16, y = var_490_cast_fp16)[name = tensor("op_491")]; tensor var_100_promoted_1_to_fp16 = const()[name = tensor("op_100_promoted_1_to_fp16"), val = tensor(0x1p+0)]; tensor var_492_cast_fp16 = greater_equal(x = is_date_in_weekend_on_device_cast_fp16, y = var_100_promoted_1_to_fp16)[name = tensor("op_492_cast_fp16")]; tensor var_51_to_fp16 = const()[name = tensor("op_51_to_fp16"), val = tensor(0x1.e68p-1)]; tensor var_493_cast_fp16 = greater_equal(x = prob_weekend_given_app_cast_fp16, y = var_51_to_fp16)[name = tensor("op_493_cast_fp16")]; tensor var_494 = logical_and(x = var_492_cast_fp16, y = var_493_cast_fp16)[name = tensor("op_494")]; tensor var_495 = logical_or(x = var_491, y = var_494)[name = tensor("op_495")]; tensor var_495_promoted_dtype_0 = const()[name = tensor("op_495_promoted_dtype_0"), val = tensor("int32")]; tensor var_495_promoted = cast(dtype = var_495_promoted_dtype_0, x = var_495)[name = tensor("cast_115")]; tensor app_has_strong_part_of_week_prob_match = greater_equal(x = var_495_promoted, y = var_100)[name = tensor("app_has_strong_part_of_week_prob_match")]; tensor var_50_to_fp16 = const()[name = tensor("op_50_to_fp16"), val = tensor(0x1.3p+3)]; tensor var_498_cast_fp16 = greater_equal(x = num_weekday_launches_cast_fp16, y = var_50_to_fp16)[name = tensor("op_498_cast_fp16")]; tensor var_499 = logical_and(x = var_489_cast_fp16, y = var_498_cast_fp16)[name = tensor("op_499")]; tensor var_501_cast_fp16 = greater_equal(x = num_weekend_launches_cast_fp16, y = var_50_to_fp16)[name = tensor("op_501_cast_fp16")]; tensor var_502 = logical_and(x = var_492_cast_fp16, y = var_501_cast_fp16)[name = tensor("op_502")]; tensor var_503 = logical_or(x = var_499, y = var_502)[name = tensor("op_503")]; tensor var_503_promoted_dtype_0 = const()[name = tensor("op_503_promoted_dtype_0"), val = tensor("int32")]; tensor var_503_promoted = cast(dtype = var_503_promoted_dtype_0, x = var_503)[name = tensor("cast_114")]; tensor app_has_strong_part_of_week_count_match = greater_equal(x = var_503_promoted, y = var_100)[name = tensor("app_has_strong_part_of_week_count_match")]; tensor var_93_promoted_1_to_fp16 = const()[name = tensor("op_93_promoted_1_to_fp16"), val = tensor(0x1.4p+3)]; tensor app_not_enough_part_of_week_data_cast_fp16 = less_equal(x = var_479_cast_fp16, y = var_93_promoted_1_to_fp16)[name = tensor("app_not_enough_part_of_week_data_cast_fp16")]; tensor app_not_enough_part_of_week_data_promoted_dtype_0 = const()[name = tensor("app_not_enough_part_of_week_data_promoted_dtype_0"), val = tensor("int32")]; tensor app_not_enough_part_of_week_data_promoted = cast(dtype = app_not_enough_part_of_week_data_promoted_dtype_0, x = app_not_enough_part_of_week_data_cast_fp16)[name = tensor("cast_113")]; tensor app_enough_part_of_week_data = less_equal(x = app_not_enough_part_of_week_data_promoted, y = var_102)[name = tensor("app_enough_part_of_week_data")]; tensor all_course_geohash_launches_begin_0 = const()[name = tensor("all_course_geohash_launches_begin_0"), val = tensor([0, 32])]; tensor all_course_geohash_launches_end_0 = const()[name = tensor("all_course_geohash_launches_end_0"), val = tensor([0, 42])]; tensor all_course_geohash_launches_end_mask_0 = const()[name = tensor("all_course_geohash_launches_end_mask_0"), val = tensor([true, false])]; tensor all_course_geohash_launches_cast_fp16 = slice_by_index(begin = all_course_geohash_launches_begin_0, end = all_course_geohash_launches_end_0, end_mask = all_course_geohash_launches_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("all_course_geohash_launches_cast_fp16")]; tensor var_511_begin_0 = const()[name = tensor("op_511_begin_0"), val = tensor([0, 71])]; tensor var_511_end_0 = const()[name = tensor("op_511_end_0"), val = tensor([0, 72])]; tensor var_511_end_mask_0 = const()[name = tensor("op_511_end_mask_0"), val = tensor([true, false])]; tensor var_511_cast_fp16 = slice_by_index(begin = var_511_begin_0, end = var_511_end_0, end_mask = var_511_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_511_cast_fp16")]; tensor var_512_to_fp16 = const()[name = tensor("op_512_to_fp16"), val = tensor(0x1p-23)]; tensor var_513_cast_fp16 = add(x = var_511_cast_fp16, y = var_512_to_fp16)[name = tensor("op_513_cast_fp16")]; tensor normalized_course_geohash_launches_cast_fp16 = real_div(x = all_course_geohash_launches_cast_fp16, y = var_513_cast_fp16)[name = tensor("normalized_course_geohash_launches_cast_fp16")]; tensor var_47_to_fp16 = const()[name = tensor("op_47_to_fp16"), val = tensor(0x1.998p-4)]; tensor var_515_cast_fp16 = greater_equal(x = normalized_course_geohash_launches_cast_fp16, y = var_47_to_fp16)[name = tensor("op_515_cast_fp16")]; tensor var_517_axes_0 = const()[name = tensor("op_517_axes_0"), val = tensor([1])]; tensor var_517_keep_dims_0 = const()[name = tensor("op_517_keep_dims_0"), val = tensor(true)]; tensor cast_15_to_fp16_dtype_0 = const()[name = tensor("cast_15_to_fp16_dtype_0"), val = tensor("fp16")]; tensor var_515_cast_fp16_to_fp16 = cast(dtype = cast_15_to_fp16_dtype_0, x = var_515_cast_fp16)[name = tensor("cast_112")]; tensor var_517_cast_fp16 = reduce_sum(axes = var_517_axes_0, keep_dims = var_517_keep_dims_0, x = var_515_cast_fp16_to_fp16)[name = tensor("op_517_cast_fp16")]; tensor var_85_promoted_to_fp16 = const()[name = tensor("op_85_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor var_518_cast_fp16 = less_equal(x = var_517_cast_fp16, y = var_85_promoted_to_fp16)[name = tensor("op_518_cast_fp16")]; tensor var_46_to_fp16 = const()[name = tensor("op_46_to_fp16"), val = tensor(0x1.cccp-2)]; tensor var_519_cast_fp16 = greater_equal(x = normalized_course_geohash_launches_cast_fp16, y = var_46_to_fp16)[name = tensor("op_519_cast_fp16")]; tensor var_521_axes_0 = const()[name = tensor("op_521_axes_0"), val = tensor([1])]; tensor var_521_keep_dims_0 = const()[name = tensor("op_521_keep_dims_0"), val = tensor(true)]; tensor cast_16_to_fp16_dtype_0 = const()[name = tensor("cast_16_to_fp16_dtype_0"), val = tensor("fp16")]; tensor var_519_cast_fp16_to_fp16 = cast(dtype = cast_16_to_fp16_dtype_0, x = var_519_cast_fp16)[name = tensor("cast_111")]; tensor var_521_cast_fp16 = reduce_sum(axes = var_521_axes_0, keep_dims = var_521_keep_dims_0, x = var_519_cast_fp16_to_fp16)[name = tensor("op_521_cast_fp16")]; tensor var_100_promoted_3_to_fp16 = const()[name = tensor("op_100_promoted_3_to_fp16"), val = tensor(0x1p+0)]; tensor var_522_cast_fp16 = greater_equal(x = var_521_cast_fp16, y = var_100_promoted_3_to_fp16)[name = tensor("op_522_cast_fp16")]; tensor app_is_location_dependent = logical_and(x = var_518_cast_fp16, y = var_522_cast_fp16)[name = tensor("app_is_location_dependent")]; tensor var_525_begin_0 = const()[name = tensor("op_525_begin_0"), val = tensor([0, 74])]; tensor var_525_end_0 = const()[name = tensor("op_525_end_0"), val = tensor([0, 75])]; tensor var_525_end_mask_0 = const()[name = tensor("op_525_end_mask_0"), val = tensor([true, false])]; tensor var_525_cast_fp16 = slice_by_index(begin = var_525_begin_0, end = var_525_end_0, end_mask = var_525_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_525_cast_fp16")]; tensor var_102_promoted_27_to_fp16 = const()[name = tensor("op_102_promoted_27_to_fp16"), val = tensor(0x0p+0)]; tensor location_services_enabled_cast_fp16 = less_equal(x = var_525_cast_fp16, y = var_102_promoted_27_to_fp16)[name = tensor("location_services_enabled_cast_fp16")]; tensor var_93_promoted_2_to_fp16 = const()[name = tensor("op_93_promoted_2_to_fp16"), val = tensor(0x1.4p+3)]; tensor app_not_enough_location_data_cast_fp16 = less_equal(x = var_511_cast_fp16, y = var_93_promoted_2_to_fp16)[name = tensor("app_not_enough_location_data_cast_fp16")]; tensor app_not_enough_location_data_promoted_dtype_0 = const()[name = tensor("app_not_enough_location_data_promoted_dtype_0"), val = tensor("int32")]; tensor app_not_enough_location_data_promoted = cast(dtype = app_not_enough_location_data_promoted_dtype_0, x = app_not_enough_location_data_cast_fp16)[name = tensor("cast_110")]; tensor app_enough_location_data = less_equal(x = app_not_enough_location_data_promoted, y = var_102)[name = tensor("app_enough_location_data")]; tensor var_531_to_fp16 = const()[name = tensor("op_531_to_fp16"), val = tensor(0x1p-23)]; tensor var_532_cast_fp16 = add(x = total_launches_in_time_buckets_cast_fp16, y = var_531_to_fp16)[name = tensor("op_532_cast_fp16")]; tensor var_533_cast_fp16 = real_div(x = num_app_launches_current_time_bucket_cast_fp16, y = var_532_cast_fp16)[name = tensor("op_533_cast_fp16")]; tensor app_has_time_prob_match_cast_fp16 = greater_equal(x = var_533_cast_fp16, y = var_52_to_fp16)[name = tensor("app_has_time_prob_match_cast_fp16")]; tensor var_43_to_fp16 = const()[name = tensor("op_43_to_fp16"), val = tensor(0x1.2p+2)]; tensor app_has_time_count_match_cast_fp16 = greater_equal(x = num_app_launches_current_time_bucket_cast_fp16, y = var_43_to_fp16)[name = tensor("app_has_time_count_match_cast_fp16")]; tensor var_538_cast_fp16 = real_div(x = num_app_launches_prev_time_bucket_cast_fp16, y = var_532_cast_fp16)[name = tensor("op_538_cast_fp16")]; tensor app_has_time_prob_match_in_prev_bucket_cast_fp16 = greater_equal(x = var_538_cast_fp16, y = var_52_to_fp16)[name = tensor("app_has_time_prob_match_in_prev_bucket_cast_fp16")]; tensor app_has_time_count_match_in_prev_bucket_cast_fp16 = greater_equal(x = num_app_launches_prev_time_bucket_cast_fp16, y = var_43_to_fp16)[name = tensor("app_has_time_count_match_in_prev_bucket_cast_fp16")]; tensor var_543_cast_fp16 = real_div(x = num_app_launches_next_time_bucket_cast_fp16, y = var_532_cast_fp16)[name = tensor("op_543_cast_fp16")]; tensor app_has_time_prob_match_in_next_bucket_cast_fp16 = greater_equal(x = var_543_cast_fp16, y = var_52_to_fp16)[name = tensor("app_has_time_prob_match_in_next_bucket_cast_fp16")]; tensor app_has_time_count_match_in_next_bucket_cast_fp16 = greater_equal(x = num_app_launches_next_time_bucket_cast_fp16, y = var_43_to_fp16)[name = tensor("app_has_time_count_match_in_next_bucket_cast_fp16")]; tensor last_launch_age_1_begin_0 = const()[name = tensor("last_launch_age_1_begin_0"), val = tensor([0, 67])]; tensor last_launch_age_1_end_0 = const()[name = tensor("last_launch_age_1_end_0"), val = tensor([0, 68])]; tensor last_launch_age_1_end_mask_0 = const()[name = tensor("last_launch_age_1_end_mask_0"), val = tensor([true, false])]; tensor last_launch_age_1_cast_fp16 = slice_by_index(begin = last_launch_age_1_begin_0, end = last_launch_age_1_end_0, end_mask = last_launch_age_1_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("last_launch_age_1_cast_fp16")]; tensor last_launch_age_1_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("last_launch_age_1_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_41_to_fp16 = const()[name = tensor("op_41_to_fp16"), val = tensor(0x1p-23)]; tensor var_548_cast_fp16 = greater_equal(x = last_launch_age_1_cast_fp16, y = var_41_to_fp16)[name = tensor("op_548_cast_fp16")]; tensor var_40_to_fp16 = const()[name = tensor("op_40_to_fp16"), val = tensor(0x1.3bp+11)]; tensor var_549_cast_fp16 = less_equal(x = last_launch_age_1_cast_fp16, y = var_40_to_fp16)[name = tensor("op_549_cast_fp16")]; tensor app_recently_launched = logical_and(x = var_548_cast_fp16, y = var_549_cast_fp16)[name = tensor("app_recently_launched")]; tensor install_age_1_begin_0 = const()[name = tensor("install_age_1_begin_0"), val = tensor([0, 69])]; tensor install_age_1_end_0 = const()[name = tensor("install_age_1_end_0"), val = tensor([0, 70])]; tensor install_age_1_end_mask_0 = const()[name = tensor("install_age_1_end_mask_0"), val = tensor([true, false])]; tensor install_age_1_cast_fp16 = slice_by_index(begin = install_age_1_begin_0, end = install_age_1_end_0, end_mask = install_age_1_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("install_age_1_cast_fp16")]; tensor var_554_begin_0 = const()[name = tensor("op_554_begin_0"), val = tensor([0, 82])]; tensor var_554_end_0 = const()[name = tensor("op_554_end_0"), val = tensor([0, 1])]; tensor var_554_end_mask_0 = const()[name = tensor("op_554_end_mask_0"), val = tensor([true, true])]; tensor var_554_cast_fp16 = slice_by_index(begin = var_554_begin_0, end = var_554_end_0, end_mask = var_554_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_554_cast_fp16")]; tensor var_102_promoted_28_to_fp16 = const()[name = tensor("op_102_promoted_28_to_fp16"), val = tensor(0x0p+0)]; tensor is_remote_app_1_cast_fp16 = greater(x = var_554_cast_fp16, y = var_102_promoted_28_to_fp16)[name = tensor("is_remote_app_1_cast_fp16")]; tensor shape_9_cast_fp16 = shape(x = install_age_1_cast_fp16)[name = tensor("shape_9_cast_fp16")]; tensor var_556_value_0 = const()[name = tensor("op_556_value_0"), val = tensor(5184000)]; tensor var_556 = fill(shape = shape_9_cast_fp16, value = var_556_value_0)[name = tensor("op_556")]; tensor var_556_promoted_to_fp16_dtype_0 = const()[name = tensor("op_556_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor var_556_to_fp16 = cast(dtype = var_556_promoted_to_fp16_dtype_0, x = var_556)[name = tensor("cast_108")]; tensor install_age_3_cast_fp16 = select(a = var_556_to_fp16, b = install_age_1_cast_fp16, cond = is_remote_app_1_cast_fp16)[name = tensor("install_age_3_cast_fp16")]; tensor var_558_cast_fp16 = greater_equal(x = install_age_3_cast_fp16, y = var_41_to_fp16)[name = tensor("op_558_cast_fp16")]; tensor var_35_promoted_to_fp16 = const()[name = tensor("op_35_promoted_to_fp16"), val = tensor(0x1.c2p+13)]; tensor var_559_cast_fp16 = less_equal(x = install_age_3_cast_fp16, y = var_35_promoted_to_fp16)[name = tensor("op_559_cast_fp16")]; tensor app_recently_installed = logical_and(x = var_558_cast_fp16, y = var_559_cast_fp16)[name = tensor("app_recently_installed")]; tensor var_561 = logical_or(x = app_recently_launched, y = app_recently_installed)[name = tensor("op_561")]; tensor var_561_promoted_dtype_0 = const()[name = tensor("op_561_promoted_dtype_0"), val = tensor("int32")]; tensor var_561_promoted = cast(dtype = var_561_promoted_dtype_0, x = var_561)[name = tensor("cast_107")]; tensor app_is_recently_launched_or_installed = greater_equal(x = var_561_promoted, y = var_100)[name = tensor("app_is_recently_launched_or_installed")]; tensor var_563 = logical_or(x = app_not_enough_time_data_cast_fp16, y = app_is_time_dependent)[name = tensor("op_563")]; tensor var_563_promoted_dtype_0 = const()[name = tensor("op_563_promoted_dtype_0"), val = tensor("int32")]; tensor var_563_promoted = cast(dtype = var_563_promoted_dtype_0, x = var_563)[name = tensor("cast_106")]; tensor var_564 = greater_equal(x = var_563_promoted, y = var_100)[name = tensor("op_564")]; tensor var_565 = logical_or(x = app_has_time_prob_match_cast_fp16, y = app_has_time_count_match_cast_fp16)[name = tensor("op_565")]; tensor var_566 = logical_or(x = var_565, y = app_has_time_prob_match_in_prev_bucket_cast_fp16)[name = tensor("op_566")]; tensor var_567 = logical_or(x = var_566, y = app_has_time_count_match_in_prev_bucket_cast_fp16)[name = tensor("op_567")]; tensor var_568 = logical_or(x = var_567, y = app_has_time_prob_match_in_next_bucket_cast_fp16)[name = tensor("op_568")]; tensor var_569 = logical_or(x = var_568, y = app_has_time_count_match_in_next_bucket_cast_fp16)[name = tensor("op_569")]; tensor var_570 = logical_or(x = var_569, y = app_is_recently_launched_or_installed)[name = tensor("op_570")]; tensor var_570_promoted_dtype_0 = const()[name = tensor("op_570_promoted_dtype_0"), val = tensor("int32")]; tensor var_570_promoted = cast(dtype = var_570_promoted_dtype_0, x = var_570)[name = tensor("cast_105")]; tensor var_571 = less_equal(x = var_570_promoted, y = var_102)[name = tensor("op_571")]; tensor sub_score_time_suppression = logical_and(x = var_564, y = var_571)[name = tensor("sub_score_time_suppression")]; tensor var_575 = logical_and(x = var_489_cast_fp16, y = var_483_cast_fp16)[name = tensor("op_575")]; tensor var_578 = logical_and(x = var_492_cast_fp16, y = var_484_cast_fp16)[name = tensor("op_578")]; tensor var_579 = logical_or(x = var_575, y = var_578)[name = tensor("op_579")]; tensor var_579_promoted_dtype_0 = const()[name = tensor("op_579_promoted_dtype_0"), val = tensor("int32")]; tensor var_579_promoted = cast(dtype = var_579_promoted_dtype_0, x = var_579)[name = tensor("cast_104")]; tensor app_has_part_of_week_prob_match = greater_equal(x = var_579_promoted, y = var_100)[name = tensor("app_has_part_of_week_prob_match")]; tensor var_582_cast_fp16 = greater_equal(x = num_weekday_launches_cast_fp16, y = var_43_to_fp16)[name = tensor("op_582_cast_fp16")]; tensor var_583 = logical_and(x = var_489_cast_fp16, y = var_582_cast_fp16)[name = tensor("op_583")]; tensor var_585_cast_fp16 = greater_equal(x = num_weekend_launches_cast_fp16, y = var_43_to_fp16)[name = tensor("op_585_cast_fp16")]; tensor var_586 = logical_and(x = var_492_cast_fp16, y = var_585_cast_fp16)[name = tensor("op_586")]; tensor var_587 = logical_or(x = var_583, y = var_586)[name = tensor("op_587")]; tensor var_587_promoted_dtype_0 = const()[name = tensor("op_587_promoted_dtype_0"), val = tensor("int32")]; tensor var_587_promoted = cast(dtype = var_587_promoted_dtype_0, x = var_587)[name = tensor("cast_103")]; tensor app_has_part_of_week_count_match = greater_equal(x = var_587_promoted, y = var_100)[name = tensor("app_has_part_of_week_count_match")]; tensor var_589 = logical_or(x = app_not_enough_part_of_week_data_cast_fp16, y = app_is_part_of_week_dependent)[name = tensor("op_589")]; tensor var_589_promoted_dtype_0 = const()[name = tensor("op_589_promoted_dtype_0"), val = tensor("int32")]; tensor var_589_promoted = cast(dtype = var_589_promoted_dtype_0, x = var_589)[name = tensor("cast_102")]; tensor var_590 = greater_equal(x = var_589_promoted, y = var_100)[name = tensor("op_590")]; tensor var_591 = logical_or(x = app_has_part_of_week_prob_match, y = app_has_part_of_week_count_match)[name = tensor("op_591")]; tensor var_592 = logical_or(x = var_591, y = app_is_recently_launched_or_installed)[name = tensor("op_592")]; tensor var_592_promoted_dtype_0 = const()[name = tensor("op_592_promoted_dtype_0"), val = tensor("int32")]; tensor var_592_promoted = cast(dtype = var_592_promoted_dtype_0, x = var_592)[name = tensor("cast_101")]; tensor var_593 = less_equal(x = var_592_promoted, y = var_102)[name = tensor("op_593")]; tensor sub_score_part_of_week_suppression = logical_and(x = var_590, y = var_593)[name = tensor("sub_score_part_of_week_suppression")]; tensor var_596_begin_0 = const()[name = tensor("op_596_begin_0"), val = tensor([0, 72])]; tensor var_596_end_0 = const()[name = tensor("op_596_end_0"), val = tensor([0, 73])]; tensor var_596_end_mask_0 = const()[name = tensor("op_596_end_mask_0"), val = tensor([true, false])]; tensor var_596_cast_fp16 = slice_by_index(begin = var_596_begin_0, end = var_596_end_0, end_mask = var_596_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_596_cast_fp16")]; tensor var_601_cast_fp16 = real_div(x = var_596_cast_fp16, y = var_513_cast_fp16)[name = tensor("op_601_cast_fp16")]; tensor app_has_location_prob_match_cast_fp16 = greater_equal(x = var_601_cast_fp16, y = var_52_to_fp16)[name = tensor("app_has_location_prob_match_cast_fp16")]; tensor app_has_location_count_match_cast_fp16 = greater_equal(x = var_596_cast_fp16, y = var_43_to_fp16)[name = tensor("app_has_location_count_match_cast_fp16")]; tensor var_606 = logical_or(x = app_not_enough_location_data_cast_fp16, y = app_is_location_dependent)[name = tensor("op_606")]; tensor var_606_promoted_dtype_0 = const()[name = tensor("op_606_promoted_dtype_0"), val = tensor("int32")]; tensor var_606_promoted = cast(dtype = var_606_promoted_dtype_0, x = var_606)[name = tensor("cast_100")]; tensor var_607 = greater_equal(x = var_606_promoted, y = var_100)[name = tensor("op_607")]; tensor var_608 = logical_or(x = app_has_location_prob_match_cast_fp16, y = app_has_location_count_match_cast_fp16)[name = tensor("op_608")]; tensor var_609 = logical_or(x = var_608, y = app_is_recently_launched_or_installed)[name = tensor("op_609")]; tensor var_609_promoted_dtype_0 = const()[name = tensor("op_609_promoted_dtype_0"), val = tensor("int32")]; tensor var_609_promoted = cast(dtype = var_609_promoted_dtype_0, x = var_609)[name = tensor("cast_99")]; tensor var_610 = less_equal(x = var_609_promoted, y = var_102)[name = tensor("op_610")]; tensor var_611 = logical_and(x = var_607, y = var_610)[name = tensor("op_611")]; tensor sub_score_location_suppression = logical_and(x = var_611, y = location_services_enabled_cast_fp16)[name = tensor("sub_score_location_suppression")]; tensor var_614_begin_0 = const()[name = tensor("op_614_begin_0"), val = tensor([0, 57])]; tensor var_614_end_0 = const()[name = tensor("op_614_end_0"), val = tensor([0, 58])]; tensor var_614_end_mask_0 = const()[name = tensor("op_614_end_mask_0"), val = tensor([true, false])]; tensor var_614_cast_fp16 = slice_by_index(begin = var_614_begin_0, end = var_614_end_0, end_mask = var_614_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_614_cast_fp16")]; tensor var_31_to_fp16 = const()[name = tensor("op_31_to_fp16"), val = tensor(0x1.064p-9)]; tensor app_is_popular_enough_cast_fp16 = greater_equal(x = var_614_cast_fp16, y = var_31_to_fp16)[name = tensor("app_is_popular_enough_cast_fp16")]; tensor var_30_to_fp16 = const()[name = tensor("op_30_to_fp16"), val = tensor(0x1p-2)]; tensor app_has_strong_time_prob_match_cast_fp16 = greater_equal(x = var_533_cast_fp16, y = var_30_to_fp16)[name = tensor("app_has_strong_time_prob_match_cast_fp16")]; tensor app_has_strong_time_count_match_cast_fp16 = greater_equal(x = num_app_launches_current_time_bucket_cast_fp16, y = var_50_to_fp16)[name = tensor("app_has_strong_time_count_match_cast_fp16")]; tensor var_621 = logical_and(x = app_is_popular_enough_cast_fp16, y = app_enough_time_data)[name = tensor("op_621")]; tensor var_622 = logical_and(x = var_621, y = app_is_time_dependent)[name = tensor("op_622")]; tensor var_623 = logical_and(x = var_622, y = app_has_strong_time_prob_match_cast_fp16)[name = tensor("op_623")]; tensor sub_score_time_boost = logical_and(x = var_623, y = app_has_strong_time_count_match_cast_fp16)[name = tensor("sub_score_time_boost")]; tensor var_625 = logical_and(x = app_is_popular_enough_cast_fp16, y = app_enough_part_of_week_data)[name = tensor("op_625")]; tensor var_626 = logical_and(x = var_625, y = app_is_part_of_week_dependent)[name = tensor("op_626")]; tensor var_627 = logical_and(x = var_626, y = app_has_strong_part_of_week_prob_match)[name = tensor("op_627")]; tensor sub_score_part_of_week_boost = logical_and(x = var_627, y = app_has_strong_part_of_week_count_match)[name = tensor("sub_score_part_of_week_boost")]; tensor app_has_strong_location_prob_match_cast_fp16 = greater_equal(x = var_601_cast_fp16, y = var_30_to_fp16)[name = tensor("app_has_strong_location_prob_match_cast_fp16")]; tensor var_638_begin_0 = const()[name = tensor("op_638_begin_0"), val = tensor([0, 73])]; tensor var_638_end_0 = const()[name = tensor("op_638_end_0"), val = tensor([0, 74])]; tensor var_638_end_mask_0 = const()[name = tensor("op_638_end_mask_0"), val = tensor([true, false])]; tensor var_638_cast_fp16 = slice_by_index(begin = var_638_begin_0, end = var_638_end_0, end_mask = var_638_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_638_cast_fp16")]; tensor app_has_strong_specific_location_count_match_cast_fp16 = greater_equal(x = var_638_cast_fp16, y = var_50_to_fp16)[name = tensor("app_has_strong_specific_location_count_match_cast_fp16")]; tensor var_640 = logical_and(x = app_is_popular_enough_cast_fp16, y = app_enough_location_data)[name = tensor("op_640")]; tensor var_641 = logical_and(x = var_640, y = app_is_location_dependent)[name = tensor("op_641")]; tensor var_642 = logical_and(x = var_641, y = app_has_strong_location_prob_match_cast_fp16)[name = tensor("op_642")]; tensor var_643 = logical_and(x = var_642, y = app_has_strong_specific_location_count_match_cast_fp16)[name = tensor("op_643")]; tensor sub_score_location_boost = logical_and(x = var_643, y = location_services_enabled_cast_fp16)[name = tensor("sub_score_location_boost")]; tensor var_646_begin_0 = const()[name = tensor("op_646_begin_0"), val = tensor([0, 75])]; tensor var_646_end_0 = const()[name = tensor("op_646_end_0"), val = tensor([0, 76])]; tensor var_646_end_mask_0 = const()[name = tensor("op_646_end_mask_0"), val = tensor([true, false])]; tensor var_646_cast_fp16 = slice_by_index(begin = var_646_begin_0, end = var_646_end_0, end_mask = var_646_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_646_cast_fp16")]; tensor var_28_to_fp16 = const()[name = tensor("op_28_to_fp16"), val = tensor(0x1.198p+0)]; tensor app_launched_at_least_twice_at_course_time_pow_location_cast_fp16 = greater_equal(x = var_646_cast_fp16, y = var_28_to_fp16)[name = tensor("app_launched_at_least_twice_at_course_time_pow_location_cast_fp16")]; tensor var_649_begin_0 = const()[name = tensor("op_649_begin_0"), val = tensor([0, 76])]; tensor var_649_end_0 = const()[name = tensor("op_649_end_0"), val = tensor([0, 77])]; tensor var_649_end_mask_0 = const()[name = tensor("op_649_end_mask_0"), val = tensor([true, false])]; tensor var_649_cast_fp16 = slice_by_index(begin = var_649_begin_0, end = var_649_end_0, end_mask = var_649_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_649_cast_fp16")]; tensor var_83_promoted_to_fp16 = const()[name = tensor("op_83_promoted_to_fp16"), val = tensor(0x1.4p+2)]; tensor at_least_five_launches_for_any_app_in_this_coarse_time_pow_location_cast_fp16 = greater_equal(x = var_649_cast_fp16, y = var_83_promoted_to_fp16)[name = tensor("at_least_five_launches_for_any_app_in_this_coarse_time_pow_location_cast_fp16")]; tensor var_652_begin_0 = const()[name = tensor("op_652_begin_0"), val = tensor([0, 77])]; tensor var_652_end_0 = const()[name = tensor("op_652_end_0"), val = tensor([0, 78])]; tensor var_652_end_mask_0 = const()[name = tensor("op_652_end_mask_0"), val = tensor([true, false])]; tensor var_652_cast_fp16 = slice_by_index(begin = var_652_begin_0, end = var_652_end_0, end_mask = var_652_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_652_cast_fp16")]; tensor var_93_promoted_3_to_fp16 = const()[name = tensor("op_93_promoted_3_to_fp16"), val = tensor(0x1.4p+3)]; tensor app_launched_at_least_ten_times_in_any_context_cast_fp16 = greater_equal(x = var_652_cast_fp16, y = var_93_promoted_3_to_fp16)[name = tensor("app_launched_at_least_ten_times_in_any_context_cast_fp16")]; tensor var_25_promoted = const()[name = tensor("op_25_promoted"), val = tensor(0x1.275p+20)]; tensor last_launch_age_1_cast_fp16_to_fp32 = cast(dtype = last_launch_age_1_cast_fp16_to_fp32_dtype_0, x = last_launch_age_1_cast_fp16)[name = tensor("cast_109")]; tensor var_656 = less_equal(x = last_launch_age_1_cast_fp16_to_fp32, y = var_25_promoted)[name = tensor("op_656")]; tensor app_launched_at_least_once_in_past_two_weeks = logical_and(x = var_656, y = var_548_cast_fp16)[name = tensor("app_launched_at_least_once_in_past_two_weeks")]; tensor var_659 = logical_and(x = app_launched_at_least_twice_at_course_time_pow_location_cast_fp16, y = at_least_five_launches_for_any_app_in_this_coarse_time_pow_location_cast_fp16)[name = tensor("op_659")]; tensor var_660 = logical_and(x = var_659, y = app_launched_at_least_ten_times_in_any_context_cast_fp16)[name = tensor("op_660")]; tensor var_661 = logical_and(x = var_660, y = app_launched_at_least_once_in_past_two_weeks)[name = tensor("op_661")]; tensor var_666_to_fp16 = const()[name = tensor("op_666_to_fp16"), val = tensor(0x1p-23)]; tensor var_667_cast_fp16 = add(x = var_649_cast_fp16, y = var_666_to_fp16)[name = tensor("op_667_cast_fp16")]; tensor var_668_cast_fp16 = real_div(x = var_646_cast_fp16, y = var_667_cast_fp16)[name = tensor("op_668_cast_fp16")]; tensor var_661_promoted_to_fp16_dtype_0 = const()[name = tensor("op_661_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor var_661_to_fp16 = cast(dtype = var_661_promoted_to_fp16_dtype_0, x = var_661)[name = tensor("cast_98")]; tensor sub_score_coarse_contextual_boost_cast_fp16 = mul(x = var_661_to_fp16, y = var_668_cast_fp16)[name = tensor("sub_score_coarse_contextual_boost_cast_fp16")]; tensor contextual_boost_interleave_0 = const()[name = tensor("contextual_boost_interleave_0"), val = tensor(false)]; tensor sub_score_time_boost_promoted_to_fp16_dtype_0 = const()[name = tensor("sub_score_time_boost_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor sub_score_part_of_week_boost_promoted_to_fp16_dtype_0 = const()[name = tensor("sub_score_part_of_week_boost_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor sub_score_location_boost_promoted_to_fp16_dtype_0 = const()[name = tensor("sub_score_location_boost_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor sub_score_location_boost_to_fp16 = cast(dtype = sub_score_location_boost_promoted_to_fp16_dtype_0, x = sub_score_location_boost)[name = tensor("cast_95")]; tensor sub_score_part_of_week_boost_to_fp16 = cast(dtype = sub_score_part_of_week_boost_promoted_to_fp16_dtype_0, x = sub_score_part_of_week_boost)[name = tensor("cast_96")]; tensor sub_score_time_boost_to_fp16 = cast(dtype = sub_score_time_boost_promoted_to_fp16_dtype_0, x = sub_score_time_boost)[name = tensor("cast_97")]; tensor contextual_boost_cast_fp16 = concat(axis = var_100, interleave = contextual_boost_interleave_0, values = (sub_score_time_boost_to_fp16, sub_score_part_of_week_boost_to_fp16, sub_score_location_boost_to_fp16, sub_score_coarse_contextual_boost_cast_fp16))[name = tensor("contextual_boost_cast_fp16")]; tensor input_begin_0 = const()[name = tensor("input_begin_0"), val = tensor([0, 57])]; tensor input_end_0 = const()[name = tensor("input_end_0"), val = tensor([0, 66])]; tensor input_end_mask_0 = const()[name = tensor("input_end_mask_0"), val = tensor([true, false])]; tensor input_cast_fp16 = slice_by_index(begin = input_begin_0, end = input_end_0, end_mask = input_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("input_cast_fp16")]; tensor relu_features_cast_fp16 = relu(x = input_cast_fp16)[name = tensor("relu_features_cast_fp16")]; tensor sub_score_sb_folder_begin_0 = const()[name = tensor("sub_score_sb_folder_begin_0"), val = tensor([0, 80])]; tensor sub_score_sb_folder_end_0 = const()[name = tensor("sub_score_sb_folder_end_0"), val = tensor([0, 81])]; tensor sub_score_sb_folder_end_mask_0 = const()[name = tensor("sub_score_sb_folder_end_mask_0"), val = tensor([true, false])]; tensor sub_score_sb_folder_cast_fp16 = slice_by_index(begin = sub_score_sb_folder_begin_0, end = sub_score_sb_folder_end_0, end_mask = sub_score_sb_folder_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("sub_score_sb_folder_cast_fp16")]; tensor terms_begin_0 = const()[name = tensor("terms_begin_0"), val = tensor([0, 81])]; tensor terms_end_0 = const()[name = tensor("terms_end_0"), val = tensor([0, 82])]; tensor terms_end_mask_0 = const()[name = tensor("terms_end_mask_0"), val = tensor([true, false])]; tensor terms_cast_fp16 = slice_by_index(begin = terms_begin_0, end = terms_end_0, end_mask = terms_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("terms_cast_fp16")]; tensor var_22_to_fp16 = const()[name = tensor("op_22_to_fp16"), val = tensor(0x1p-1)]; tensor var_679_cast_fp16 = pow(x = var_22_to_fp16, y = terms_cast_fp16)[name = tensor("op_679_cast_fp16")]; tensor var_100_promoted_6_to_fp16 = const()[name = tensor("op_100_promoted_6_to_fp16"), val = tensor(0x1p+0)]; tensor numerator_cast_fp16 = sub(x = var_100_promoted_6_to_fp16, y = var_679_cast_fp16)[name = tensor("numerator_cast_fp16")]; tensor _inversed_682_y_0_to_fp16 = const()[name = tensor("_inversed_682_y_0_to_fp16"), val = tensor(0x1p+1)]; tensor _inversed_682_cast_fp16 = mul(x = numerator_cast_fp16, y = _inversed_682_y_0_to_fp16)[name = tensor("_inversed_682_cast_fp16")]; tensor var_683_promoted_to_fp16 = const()[name = tensor("op_683_promoted_to_fp16"), val = tensor(0x1p+1)]; tensor sub_score_sb_page_cast_fp16 = mul(x = _inversed_682_cast_fp16, y = var_683_promoted_to_fp16)[name = tensor("sub_score_sb_page_cast_fp16")]; tensor var_688_promoted_to_fp16 = const()[name = tensor("op_688_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_689_cast_fp16 = mul(x = last_launch_age_1_cast_fp16, y = var_688_promoted_to_fp16)[name = tensor("op_689_cast_fp16")]; tensor _inversed_691_y_0_to_fp16 = const()[name = tensor("_inversed_691_y_0_to_fp16"), val = tensor(0x1.ap-12)]; tensor _inversed_691_cast_fp16 = mul(x = var_689_cast_fp16, y = _inversed_691_y_0_to_fp16)[name = tensor("_inversed_691_cast_fp16")]; tensor var_85_promoted_1_to_fp16 = const()[name = tensor("op_85_promoted_1_to_fp16"), val = tensor(0x1p+1)]; tensor var_692_cast_fp16 = pow(x = var_85_promoted_1_to_fp16, y = _inversed_691_cast_fp16)[name = tensor("op_692_cast_fp16")]; tensor var_693_promoted_to_fp16 = const()[name = tensor("op_693_promoted_to_fp16"), val = tensor(0x1.4p+5)]; tensor var_694_cast_fp16 = mul(x = var_692_cast_fp16, y = var_693_promoted_to_fp16)[name = tensor("op_694_cast_fp16")]; tensor const_32_promoted_to_fp16 = const()[name = tensor("const_32_promoted_to_fp16"), val = tensor(0x0p+0)]; tensor sub_score_launch_cast_fp16 = select(a = var_694_cast_fp16, b = const_32_promoted_to_fp16, cond = var_548_cast_fp16)[name = tensor("sub_score_launch_cast_fp16")]; tensor last_spotlight_launch_age_begin_0 = const()[name = tensor("last_spotlight_launch_age_begin_0"), val = tensor([0, 68])]; tensor last_spotlight_launch_age_end_0 = const()[name = tensor("last_spotlight_launch_age_end_0"), val = tensor([0, 69])]; tensor last_spotlight_launch_age_end_mask_0 = const()[name = tensor("last_spotlight_launch_age_end_mask_0"), val = tensor([true, false])]; tensor last_spotlight_launch_age_cast_fp16 = slice_by_index(begin = last_spotlight_launch_age_begin_0, end = last_spotlight_launch_age_end_0, end_mask = last_spotlight_launch_age_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("last_spotlight_launch_age_cast_fp16")]; tensor var_700_cast_fp16 = greater_equal(x = last_spotlight_launch_age_cast_fp16, y = var_41_to_fp16)[name = tensor("op_700_cast_fp16")]; tensor var_701_promoted_to_fp16 = const()[name = tensor("op_701_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_702_cast_fp16 = mul(x = last_spotlight_launch_age_cast_fp16, y = var_701_promoted_to_fp16)[name = tensor("op_702_cast_fp16")]; tensor _inversed_704_y_0_to_fp16 = const()[name = tensor("_inversed_704_y_0_to_fp16"), val = tensor(0x1.04p-18)]; tensor _inversed_704_cast_fp16 = mul(x = var_702_cast_fp16, y = _inversed_704_y_0_to_fp16)[name = tensor("_inversed_704_cast_fp16")]; tensor var_85_promoted_2_to_fp16 = const()[name = tensor("op_85_promoted_2_to_fp16"), val = tensor(0x1p+1)]; tensor var_705_cast_fp16 = pow(x = var_85_promoted_2_to_fp16, y = _inversed_704_cast_fp16)[name = tensor("op_705_cast_fp16")]; tensor var_706_promoted_to_fp16 = const()[name = tensor("op_706_promoted_to_fp16"), val = tensor(0x1.68p+5)]; tensor var_707_cast_fp16 = mul(x = var_705_cast_fp16, y = var_706_promoted_to_fp16)[name = tensor("op_707_cast_fp16")]; tensor const_33_promoted_to_fp16 = const()[name = tensor("const_33_promoted_to_fp16"), val = tensor(0x0p+0)]; tensor sub_score_spotlight_cast_fp16 = select(a = var_707_cast_fp16, b = const_33_promoted_to_fp16, cond = var_700_cast_fp16)[name = tensor("sub_score_spotlight_cast_fp16")]; tensor default_model_interleave_0 = const()[name = tensor("default_model_interleave_0"), val = tensor(false)]; tensor default_model_cast_fp16 = concat(axis = var_100, interleave = default_model_interleave_0, values = (relu_features_cast_fp16, sub_score_sb_folder_cast_fp16, sub_score_sb_page_cast_fp16, sub_score_launch_cast_fp16, sub_score_spotlight_cast_fp16))[name = tensor("default_model_cast_fp16")]; tensor var_714_begin_0 = const()[name = tensor("op_714_begin_0"), val = tensor([0, 45])]; tensor var_714_end_0 = const()[name = tensor("op_714_end_0"), val = tensor([0, 46])]; tensor var_714_end_mask_0 = const()[name = tensor("op_714_end_mask_0"), val = tensor([true, false])]; tensor var_714_cast_fp16 = slice_by_index(begin = var_714_begin_0, end = var_714_end_0, end_mask = var_714_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_714_cast_fp16")]; tensor var_716_begin_0 = const()[name = tensor("op_716_begin_0"), val = tensor([0, 46])]; tensor var_716_end_0 = const()[name = tensor("op_716_end_0"), val = tensor([0, 47])]; tensor var_716_end_mask_0 = const()[name = tensor("op_716_end_mask_0"), val = tensor([true, false])]; tensor var_716_cast_fp16 = slice_by_index(begin = var_716_begin_0, end = var_716_end_0, end_mask = var_716_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_716_cast_fp16")]; tensor var_717_cast_fp16 = add(x = var_714_cast_fp16, y = var_716_cast_fp16)[name = tensor("op_717_cast_fp16")]; tensor var_719_begin_0 = const()[name = tensor("op_719_begin_0"), val = tensor([0, 47])]; tensor var_719_end_0 = const()[name = tensor("op_719_end_0"), val = tensor([0, 48])]; tensor var_719_end_mask_0 = const()[name = tensor("op_719_end_mask_0"), val = tensor([true, false])]; tensor var_719_cast_fp16 = slice_by_index(begin = var_719_begin_0, end = var_719_end_0, end_mask = var_719_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_719_cast_fp16")]; tensor confirms_cast_fp16 = add(x = var_717_cast_fp16, y = var_719_cast_fp16)[name = tensor("confirms_cast_fp16")]; tensor var_722_begin_0 = const()[name = tensor("op_722_begin_0"), val = tensor([0, 48])]; tensor var_722_end_0 = const()[name = tensor("op_722_end_0"), val = tensor([0, 49])]; tensor var_722_end_mask_0 = const()[name = tensor("op_722_end_mask_0"), val = tensor([true, false])]; tensor var_722_cast_fp16 = slice_by_index(begin = var_722_begin_0, end = var_722_end_0, end_mask = var_722_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_722_cast_fp16")]; tensor var_724_begin_0 = const()[name = tensor("op_724_begin_0"), val = tensor([0, 49])]; tensor var_724_end_0 = const()[name = tensor("op_724_end_0"), val = tensor([0, 50])]; tensor var_724_end_mask_0 = const()[name = tensor("op_724_end_mask_0"), val = tensor([true, false])]; tensor var_724_cast_fp16 = slice_by_index(begin = var_724_begin_0, end = var_724_end_0, end_mask = var_724_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_724_cast_fp16")]; tensor var_725_cast_fp16 = add(x = var_722_cast_fp16, y = var_724_cast_fp16)[name = tensor("op_725_cast_fp16")]; tensor var_727_begin_0 = const()[name = tensor("op_727_begin_0"), val = tensor([0, 50])]; tensor var_727_end_0 = const()[name = tensor("op_727_end_0"), val = tensor([0, 51])]; tensor var_727_end_mask_0 = const()[name = tensor("op_727_end_mask_0"), val = tensor([true, false])]; tensor var_727_cast_fp16 = slice_by_index(begin = var_727_begin_0, end = var_727_end_0, end_mask = var_727_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_727_cast_fp16")]; tensor rejects_cast_fp16 = add(x = var_725_cast_fp16, y = var_727_cast_fp16)[name = tensor("rejects_cast_fp16")]; tensor var_730_begin_0 = const()[name = tensor("op_730_begin_0"), val = tensor([0, 51])]; tensor var_730_end_0 = const()[name = tensor("op_730_end_0"), val = tensor([0, 52])]; tensor var_730_end_mask_0 = const()[name = tensor("op_730_end_mask_0"), val = tensor([true, false])]; tensor var_730_cast_fp16 = slice_by_index(begin = var_730_begin_0, end = var_730_end_0, end_mask = var_730_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_730_cast_fp16")]; tensor var_732_begin_0 = const()[name = tensor("op_732_begin_0"), val = tensor([0, 52])]; tensor var_732_end_0 = const()[name = tensor("op_732_end_0"), val = tensor([0, 53])]; tensor var_732_end_mask_0 = const()[name = tensor("op_732_end_mask_0"), val = tensor([true, false])]; tensor var_732_cast_fp16 = slice_by_index(begin = var_732_begin_0, end = var_732_end_0, end_mask = var_732_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_732_cast_fp16")]; tensor var_733_cast_fp16 = add(x = var_730_cast_fp16, y = var_732_cast_fp16)[name = tensor("op_733_cast_fp16")]; tensor var_735_begin_0 = const()[name = tensor("op_735_begin_0"), val = tensor([0, 53])]; tensor var_735_end_0 = const()[name = tensor("op_735_end_0"), val = tensor([0, 54])]; tensor var_735_end_mask_0 = const()[name = tensor("op_735_end_mask_0"), val = tensor([true, false])]; tensor var_735_cast_fp16 = slice_by_index(begin = var_735_begin_0, end = var_735_end_0, end_mask = var_735_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_735_cast_fp16")]; tensor total_confirms_cast_fp16 = add(x = var_733_cast_fp16, y = var_735_cast_fp16)[name = tensor("total_confirms_cast_fp16")]; tensor var_738_begin_0 = const()[name = tensor("op_738_begin_0"), val = tensor([0, 54])]; tensor var_738_end_0 = const()[name = tensor("op_738_end_0"), val = tensor([0, 55])]; tensor var_738_end_mask_0 = const()[name = tensor("op_738_end_mask_0"), val = tensor([true, false])]; tensor var_738_cast_fp16 = slice_by_index(begin = var_738_begin_0, end = var_738_end_0, end_mask = var_738_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_738_cast_fp16")]; tensor var_740_begin_0 = const()[name = tensor("op_740_begin_0"), val = tensor([0, 55])]; tensor var_740_end_0 = const()[name = tensor("op_740_end_0"), val = tensor([0, 56])]; tensor var_740_end_mask_0 = const()[name = tensor("op_740_end_mask_0"), val = tensor([true, false])]; tensor var_740_cast_fp16 = slice_by_index(begin = var_740_begin_0, end = var_740_end_0, end_mask = var_740_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_740_cast_fp16")]; tensor var_741_cast_fp16 = add(x = var_738_cast_fp16, y = var_740_cast_fp16)[name = tensor("op_741_cast_fp16")]; tensor var_743_begin_0 = const()[name = tensor("op_743_begin_0"), val = tensor([0, 56])]; tensor var_743_end_0 = const()[name = tensor("op_743_end_0"), val = tensor([0, 57])]; tensor var_743_end_mask_0 = const()[name = tensor("op_743_end_mask_0"), val = tensor([true, false])]; tensor var_743_cast_fp16 = slice_by_index(begin = var_743_begin_0, end = var_743_end_0, end_mask = var_743_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_743_cast_fp16")]; tensor total_rejects_cast_fp16 = add(x = var_741_cast_fp16, y = var_743_cast_fp16)[name = tensor("total_rejects_cast_fp16")]; tensor var_745_promoted_to_fp16 = const()[name = tensor("op_745_promoted_to_fp16"), val = tensor(0x1.4p+4)]; tensor new_alpha_cast_fp16 = add(x = total_confirms_cast_fp16, y = var_745_promoted_to_fp16)[name = tensor("new_alpha_cast_fp16")]; tensor var_747_promoted_to_fp16 = const()[name = tensor("op_747_promoted_to_fp16"), val = tensor(0x1.68p+7)]; tensor new_beta_cast_fp16 = add(x = total_rejects_cast_fp16, y = var_747_promoted_to_fp16)[name = tensor("new_beta_cast_fp16")]; tensor var_749_promoted_to_fp16 = const()[name = tensor("op_749_promoted_to_fp16"), val = tensor(0x1.9p+7)]; tensor var_750_cast_fp16 = mul(x = new_alpha_cast_fp16, y = var_749_promoted_to_fp16)[name = tensor("op_750_cast_fp16")]; tensor var_751_cast_fp16 = add(x = new_alpha_cast_fp16, y = new_beta_cast_fp16)[name = tensor("op_751_cast_fp16")]; tensor scaled_alpha_cast_fp16 = real_div(x = var_750_cast_fp16, y = var_751_cast_fp16)[name = tensor("scaled_alpha_cast_fp16")]; tensor var_753_promoted_to_fp16 = const()[name = tensor("op_753_promoted_to_fp16"), val = tensor(0x1.9p+7)]; tensor var_754_cast_fp16 = mul(x = new_beta_cast_fp16, y = var_753_promoted_to_fp16)[name = tensor("op_754_cast_fp16")]; tensor scaled_beta_cast_fp16 = real_div(x = var_754_cast_fp16, y = var_751_cast_fp16)[name = tensor("scaled_beta_cast_fp16")]; tensor var_757_cast_fp16 = add(x = confirms_cast_fp16, y = scaled_alpha_cast_fp16)[name = tensor("op_757_cast_fp16")]; tensor var_759_cast_fp16 = add(x = var_757_cast_fp16, y = rejects_cast_fp16)[name = tensor("op_759_cast_fp16")]; tensor var_760_cast_fp16 = add(x = var_759_cast_fp16, y = scaled_beta_cast_fp16)[name = tensor("op_760_cast_fp16")]; tensor beta_confirm_ratio_cast_fp16 = real_div(x = var_757_cast_fp16, y = var_760_cast_fp16)[name = tensor("beta_confirm_ratio_cast_fp16")]; tensor var_762_cast_fp16 = add(x = scaled_alpha_cast_fp16, y = scaled_beta_cast_fp16)[name = tensor("op_762_cast_fp16")]; tensor prior_beta_confirm_ratio_cast_fp16 = real_div(x = scaled_alpha_cast_fp16, y = var_762_cast_fp16)[name = tensor("prior_beta_confirm_ratio_cast_fp16")]; tensor app_normalized_beta_feedback_across_all_uis_cast_fp16 = real_div(x = beta_confirm_ratio_cast_fp16, y = prior_beta_confirm_ratio_cast_fp16)[name = tensor("app_normalized_beta_feedback_across_all_uis_cast_fp16")]; tensor var_766_begin_0 = const()[name = tensor("op_766_begin_0"), val = tensor([0, 42])]; tensor var_766_end_0 = const()[name = tensor("op_766_end_0"), val = tensor([0, 43])]; tensor var_766_end_mask_0 = const()[name = tensor("op_766_end_mask_0"), val = tensor([true, false])]; tensor var_766_cast_fp16 = slice_by_index(begin = var_766_begin_0, end = var_766_end_0, end_mask = var_766_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_766_cast_fp16")]; tensor var_767_cast_fp16 = add(x = app_normalized_beta_feedback_across_all_uis_cast_fp16, y = var_766_cast_fp16)[name = tensor("op_767_cast_fp16")]; tensor _inversed_average_feedback_score_y_0_to_fp16 = const()[name = tensor("_inversed_average_feedback_score_y_0_to_fp16"), val = tensor(0x1p-1)]; tensor _inversed_average_feedback_score_cast_fp16 = mul(x = var_767_cast_fp16, y = _inversed_average_feedback_score_y_0_to_fp16)[name = tensor("_inversed_average_feedback_score_cast_fp16")]; tensor _inversed_average_feedback_score_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("_inversed_average_feedback_score_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_85_promoted_3_to_fp16 = const()[name = tensor("op_85_promoted_3_to_fp16"), val = tensor(0x1p+1)]; tensor clip_25_cast_fp16 = clip(alpha = var_22_to_fp16, beta = var_85_promoted_3_to_fp16, x = _inversed_average_feedback_score_cast_fp16)[name = tensor("clip_25_cast_fp16")]; tensor var_771_promoted_to_fp16 = const()[name = tensor("op_771_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor sub_score_linear_feedback_cast_fp16 = add(x = clip_25_cast_fp16, y = var_771_promoted_to_fp16)[name = tensor("sub_score_linear_feedback_cast_fp16")]; tensor var_93_promoted_4_to_fp16 = const()[name = tensor("op_93_promoted_4_to_fp16"), val = tensor(0x1.4p+3)]; tensor clip_26_cast_fp16 = clip(alpha = var_47_to_fp16, beta = var_93_promoted_4_to_fp16, x = _inversed_average_feedback_score_cast_fp16)[name = tensor("clip_26_cast_fp16")]; tensor sub_score_log_feedback_epsilon_0_to_fp16 = const()[name = tensor("sub_score_log_feedback_epsilon_0_to_fp16"), val = tensor(0x0p+0)]; tensor sub_score_log_feedback_cast_fp16 = log(epsilon = sub_score_log_feedback_epsilon_0_to_fp16, x = clip_26_cast_fp16)[name = tensor("sub_score_log_feedback_cast_fp16")]; tensor var_776_begin_0 = const()[name = tensor("op_776_begin_0"), val = tensor([0, 43])]; tensor var_776_end_0 = const()[name = tensor("op_776_end_0"), val = tensor([0, 44])]; tensor var_776_end_mask_0 = const()[name = tensor("op_776_end_mask_0"), val = tensor([true, false])]; tensor var_776_cast_fp16 = slice_by_index(begin = var_776_begin_0, end = var_776_end_0, end_mask = var_776_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_776_cast_fp16")]; tensor var_777_cast_fp16 = add(x = confirms_cast_fp16, y = var_776_cast_fp16)[name = tensor("op_777_cast_fp16")]; tensor _inversed_average_feedback_confirms_y_0_to_fp16 = const()[name = tensor("_inversed_average_feedback_confirms_y_0_to_fp16"), val = tensor(0x1p-1)]; tensor _inversed_average_feedback_confirms_cast_fp16 = mul(x = var_777_cast_fp16, y = _inversed_average_feedback_confirms_y_0_to_fp16)[name = tensor("_inversed_average_feedback_confirms_cast_fp16")]; tensor var_781_begin_0 = const()[name = tensor("op_781_begin_0"), val = tensor([0, 44])]; tensor var_781_end_0 = const()[name = tensor("op_781_end_0"), val = tensor([0, 45])]; tensor var_781_end_mask_0 = const()[name = tensor("op_781_end_mask_0"), val = tensor([true, false])]; tensor var_781_cast_fp16 = slice_by_index(begin = var_781_begin_0, end = var_781_end_0, end_mask = var_781_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("op_781_cast_fp16")]; tensor var_782_cast_fp16 = add(x = rejects_cast_fp16, y = var_781_cast_fp16)[name = tensor("op_782_cast_fp16")]; tensor _inversed_average_feedback_rejects_y_0_to_fp16 = const()[name = tensor("_inversed_average_feedback_rejects_y_0_to_fp16"), val = tensor(0x1p-1)]; tensor _inversed_average_feedback_rejects_cast_fp16 = mul(x = var_782_cast_fp16, y = _inversed_average_feedback_rejects_y_0_to_fp16)[name = tensor("_inversed_average_feedback_rejects_cast_fp16")]; tensor var_785_promoted_to_fp16 = const()[name = tensor("op_785_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_786_cast_fp16 = add(x = _inversed_average_feedback_confirms_cast_fp16, y = var_785_promoted_to_fp16)[name = tensor("op_786_cast_fp16")]; tensor sub_score_feedback_confirms_epsilon_0_to_fp16 = const()[name = tensor("sub_score_feedback_confirms_epsilon_0_to_fp16"), val = tensor(0x0p+0)]; tensor sub_score_feedback_confirms_cast_fp16 = log(epsilon = sub_score_feedback_confirms_epsilon_0_to_fp16, x = var_786_cast_fp16)[name = tensor("sub_score_feedback_confirms_cast_fp16")]; tensor var_788_promoted_to_fp16 = const()[name = tensor("op_788_promoted_to_fp16"), val = tensor(0x1p+0)]; tensor var_789_cast_fp16 = add(x = _inversed_average_feedback_rejects_cast_fp16, y = var_788_promoted_to_fp16)[name = tensor("op_789_cast_fp16")]; tensor sub_score_feedback_rejects_epsilon_0_to_fp16 = const()[name = tensor("sub_score_feedback_rejects_epsilon_0_to_fp16"), val = tensor(0x0p+0)]; tensor sub_score_feedback_rejects_cast_fp16 = log(epsilon = sub_score_feedback_rejects_epsilon_0_to_fp16, x = var_789_cast_fp16)[name = tensor("sub_score_feedback_rejects_cast_fp16")]; tensor var_7_to_fp16 = const()[name = tensor("op_7_to_fp16"), val = tensor(0x1.ff8p-1)]; tensor var_791_cast_fp16 = greater_equal(x = _inversed_average_feedback_score_cast_fp16, y = var_7_to_fp16)[name = tensor("op_791_cast_fp16")]; tensor var_6_to_fp16 = const()[name = tensor("op_6_to_fp16"), val = tensor(0x1.004p+0)]; tensor var_792_cast_fp16 = less_equal(x = _inversed_average_feedback_score_cast_fp16, y = var_6_to_fp16)[name = tensor("op_792_cast_fp16")]; tensor var_793 = logical_and(x = var_791_cast_fp16, y = var_792_cast_fp16)[name = tensor("op_793")]; tensor feedback_features_interleave_0 = const()[name = tensor("feedback_features_interleave_0"), val = tensor(false)]; tensor var_793_to_fp32_to_fp16_dtype_0 = const()[name = tensor("op_793_to_fp32_to_fp16_dtype_0"), val = tensor("fp16")]; tensor var_793_to_fp16 = cast(dtype = var_793_to_fp32_to_fp16_dtype_0, x = var_793)[name = tensor("cast_93")]; tensor feedback_features_cast_fp16 = concat(axis = var_100, interleave = feedback_features_interleave_0, values = (sub_score_linear_feedback_cast_fp16, sub_score_log_feedback_cast_fp16, sub_score_feedback_confirms_cast_fp16, sub_score_feedback_rejects_cast_fp16, var_793_to_fp16))[name = tensor("feedback_features_cast_fp16")]; tensor sub_score_sb_dock_begin_0 = const()[name = tensor("sub_score_sb_dock_begin_0"), val = tensor([0, 78])]; tensor sub_score_sb_dock_end_0 = const()[name = tensor("sub_score_sb_dock_end_0"), val = tensor([0, 79])]; tensor sub_score_sb_dock_end_mask_0 = const()[name = tensor("sub_score_sb_dock_end_mask_0"), val = tensor([true, false])]; tensor sub_score_sb_dock_cast_fp16 = slice_by_index(begin = sub_score_sb_dock_begin_0, end = sub_score_sb_dock_end_0, end_mask = sub_score_sb_dock_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("sub_score_sb_dock_cast_fp16")]; tensor var_801_cast_fp16 = not_equal(x = last_launch_age_1_cast_fp16, y = last_launch_age_1_cast_fp16)[name = tensor("op_801_cast_fp16")]; tensor shape_10_cast_fp16 = shape(x = last_launch_age_1_cast_fp16)[name = tensor("shape_10_cast_fp16")]; tensor var_802_value_0_to_fp16 = const()[name = tensor("op_802_value_0_to_fp16"), val = tensor(0x1p+0)]; tensor var_802_cast_fp16 = fill(shape = shape_10_cast_fp16, value = var_802_value_0_to_fp16)[name = tensor("op_802_cast_fp16")]; tensor var_803_cast_fp16 = less(x = last_launch_age_1_cast_fp16, y = var_41_to_fp16)[name = tensor("op_803_cast_fp16")]; tensor var_803_promoted_to_fp16_dtype_0 = const()[name = tensor("op_803_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor var_803_cast_fp16_to_fp16 = cast(dtype = var_803_promoted_to_fp16_dtype_0, x = var_803_cast_fp16)[name = tensor("cast_92")]; tensor no_launch_history_cast_fp16 = select(a = var_802_cast_fp16, b = var_803_cast_fp16_to_fp16, cond = var_801_cast_fp16)[name = tensor("no_launch_history_cast_fp16")]; tensor var_102_promoted_31_to_fp16 = const()[name = tensor("op_102_promoted_31_to_fp16"), val = tensor(0x0p+0)]; tensor var_805_cast_fp16 = greater(x = no_launch_history_cast_fp16, y = var_102_promoted_31_to_fp16)[name = tensor("op_805_cast_fp16")]; tensor shape_11_cast_fp16 = shape(x = no_launch_history_cast_fp16)[name = tensor("shape_11_cast_fp16")]; tensor var_806_value_0_to_fp16 = const()[name = tensor("op_806_value_0_to_fp16"), val = tensor(-0x1.ep+3)]; tensor var_806_cast_fp16 = fill(shape = shape_11_cast_fp16, value = var_806_value_0_to_fp16)[name = tensor("op_806_cast_fp16")]; tensor var_807_value_0_to_fp16 = const()[name = tensor("op_807_value_0_to_fp16"), val = tensor(0x0p+0)]; tensor var_807_cast_fp16 = fill(shape = shape_11_cast_fp16, value = var_807_value_0_to_fp16)[name = tensor("op_807_cast_fp16")]; tensor sub_score_never_launched_penalty_cast_fp16 = select(a = var_806_cast_fp16, b = var_807_cast_fp16, cond = var_805_cast_fp16)[name = tensor("sub_score_never_launched_penalty_cast_fp16")]; tensor var_817_promoted_to_fp16 = const()[name = tensor("op_817_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_818_cast_fp16 = mul(x = install_age_3_cast_fp16, y = var_817_promoted_to_fp16)[name = tensor("op_818_cast_fp16")]; tensor _inversed_820_y_0_to_fp16 = const()[name = tensor("_inversed_820_y_0_to_fp16"), val = tensor(0x1.234p-14)]; tensor _inversed_820_cast_fp16 = mul(x = var_818_cast_fp16, y = _inversed_820_y_0_to_fp16)[name = tensor("_inversed_820_cast_fp16")]; tensor var_85_promoted_4_to_fp16 = const()[name = tensor("op_85_promoted_4_to_fp16"), val = tensor(0x1p+1)]; tensor var_821_cast_fp16 = pow(x = var_85_promoted_4_to_fp16, y = _inversed_820_cast_fp16)[name = tensor("op_821_cast_fp16")]; tensor var_822_promoted_to_fp16 = const()[name = tensor("op_822_promoted_to_fp16"), val = tensor(0x1.04p+6)]; tensor var_823_cast_fp16 = mul(x = var_821_cast_fp16, y = var_822_promoted_to_fp16)[name = tensor("op_823_cast_fp16")]; tensor shape_14_cast_fp16 = shape(x = install_age_3_cast_fp16)[name = tensor("shape_14_cast_fp16")]; tensor var_824_value_0_to_fp16 = const()[name = tensor("op_824_value_0_to_fp16"), val = tensor(0x0p+0)]; tensor var_824_cast_fp16 = fill(shape = shape_14_cast_fp16, value = var_824_value_0_to_fp16)[name = tensor("op_824_cast_fp16")]; tensor sub_score_install_cast_fp16 = select(a = var_823_cast_fp16, b = var_824_cast_fp16, cond = var_558_cast_fp16)[name = tensor("sub_score_install_cast_fp16")]; tensor day_zero_points_begin_0 = const()[name = tensor("day_zero_points_begin_0"), val = tensor([0, 79])]; tensor day_zero_points_end_0 = const()[name = tensor("day_zero_points_end_0"), val = tensor([0, 80])]; tensor day_zero_points_end_mask_0 = const()[name = tensor("day_zero_points_end_mask_0"), val = tensor([true, false])]; tensor day_zero_points_cast_fp16 = slice_by_index(begin = day_zero_points_begin_0, end = day_zero_points_end_0, end_mask = day_zero_points_end_mask_0, x = input_feature_vector_to_fp16)[name = tensor("day_zero_points_cast_fp16")]; tensor var_828_cast_fp16 = greater_equal(x = day_zero_points_cast_fp16, y = var_41_to_fp16)[name = tensor("op_828_cast_fp16")]; tensor var_829_promoted_to_fp16 = const()[name = tensor("op_829_promoted_to_fp16"), val = tensor(-0x1.ep+3)]; tensor var_830_cast_fp16 = mul(x = sub_score_sb_dock_cast_fp16, y = var_829_promoted_to_fp16)[name = tensor("op_830_cast_fp16")]; tensor var_831_cast_fp16 = add(x = sub_score_never_launched_penalty_cast_fp16, y = var_830_cast_fp16)[name = tensor("op_831_cast_fp16")]; tensor var_832_promoted_to_fp16 = const()[name = tensor("op_832_promoted_to_fp16"), val = tensor(-0x1p+0)]; tensor var_833_cast_fp16 = mul(x = var_831_cast_fp16, y = var_832_promoted_to_fp16)[name = tensor("op_833_cast_fp16")]; tensor var_834_cast_fp16 = add(x = day_zero_points_cast_fp16, y = var_833_cast_fp16)[name = tensor("op_834_cast_fp16")]; tensor var_828_promoted_to_fp16_dtype_0 = const()[name = tensor("op_828_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor var_828_cast_fp16_to_fp16 = cast(dtype = var_828_promoted_to_fp16_dtype_0, x = var_828_cast_fp16)[name = tensor("cast_91")]; tensor sub_score_day_zero_boost_cast_fp16 = mul(x = var_828_cast_fp16_to_fp16, y = var_834_cast_fp16)[name = tensor("sub_score_day_zero_boost_cast_fp16")]; tensor heuristics_interleave_0 = const()[name = tensor("heuristics_interleave_0"), val = tensor(false)]; tensor heuristics_cast_fp16 = concat(axis = var_100, interleave = heuristics_interleave_0, values = (sub_score_sb_dock_cast_fp16, sub_score_never_launched_penalty_cast_fp16, sub_score_install_cast_fp16, sub_score_day_zero_boost_cast_fp16))[name = tensor("heuristics_cast_fp16")]; tensor x_interleave_0 = const()[name = tensor("x_interleave_0"), val = tensor(false)]; tensor sub_score_time_suppression_promoted_to_fp16_dtype_0 = const()[name = tensor("sub_score_time_suppression_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor sub_score_part_of_week_suppression_promoted_to_fp16_dtype_0 = const()[name = tensor("sub_score_part_of_week_suppression_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor sub_score_location_suppression_promoted_to_fp16_dtype_0 = const()[name = tensor("sub_score_location_suppression_promoted_to_fp16_dtype_0"), val = tensor("fp16")]; tensor sub_score_location_suppression_to_fp16 = cast(dtype = sub_score_location_suppression_promoted_to_fp16_dtype_0, x = sub_score_location_suppression)[name = tensor("cast_88")]; tensor sub_score_part_of_week_suppression_to_fp16 = cast(dtype = sub_score_part_of_week_suppression_promoted_to_fp16_dtype_0, x = sub_score_part_of_week_suppression)[name = tensor("cast_89")]; tensor sub_score_time_suppression_to_fp16 = cast(dtype = sub_score_time_suppression_promoted_to_fp16_dtype_0, x = sub_score_time_suppression)[name = tensor("cast_90")]; tensor x_cast_fp16 = concat(axis = var_100, interleave = x_interleave_0, values = (sub_score_time_suppression_to_fp16, sub_score_part_of_week_suppression_to_fp16, sub_score_location_suppression_to_fp16, contextual_boost_cast_fp16, default_model_cast_fp16, feedback_features_cast_fp16, heuristics_cast_fp16))[name = tensor("x_cast_fp16")]; tensor transpose_3_to_fp16 = const()[name = tensor("transpose_3_to_fp16"), val = tensor(BLOBFILE(path = tensor("@model_path/weights/weight.bin"), offset = tensor(64)))]; tensor var_855_bias_0_to_fp16 = const()[name = tensor("op_855_bias_0_to_fp16"), val = tensor([0x0p+0])]; tensor var_855_cast_fp16 = linear(bias = var_855_bias_0_to_fp16, weight = transpose_3_to_fp16, x = x_cast_fp16)[name = tensor("op_855_cast_fp16")]; tensor var_856_cast_fp16 = mul(x = clip_25_cast_fp16, y = var_855_cast_fp16)[name = tensor("op_856_cast_fp16")]; tensor var_856_cast_fp16_to_fp32_dtype_0 = const()[name = tensor("op_856_cast_fp16_to_fp32_dtype_0"), val = tensor("fp32")]; tensor tile_0 = const()[name = tensor("tile_0"), val = tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])]; tensor var_859_axis_0 = const()[name = tensor("op_859_axis_0"), val = tensor(1)]; tensor var_859_cast_fp16_0, tensor var_859_cast_fp16_1, tensor var_859_cast_fp16_2, tensor var_859_cast_fp16_3, tensor var_859_cast_fp16_4, tensor var_859_cast_fp16_5, tensor var_859_cast_fp16_6, tensor var_859_cast_fp16_7, tensor var_859_cast_fp16_8, tensor var_859_cast_fp16_9, tensor var_859_cast_fp16_10, tensor var_859_cast_fp16_11, tensor var_859_cast_fp16_12, tensor var_859_cast_fp16_13, tensor var_859_cast_fp16_14, tensor var_859_cast_fp16_15, tensor var_859_cast_fp16_16, tensor var_859_cast_fp16_17, tensor var_859_cast_fp16_18, tensor var_859_cast_fp16_19, tensor var_859_cast_fp16_20, tensor var_859_cast_fp16_21, tensor var_859_cast_fp16_22, tensor var_859_cast_fp16_23, tensor var_859_cast_fp16_24, tensor var_859_cast_fp16_25, tensor var_859_cast_fp16_26, tensor var_859_cast_fp16_27, tensor var_859_cast_fp16_28 = split(axis = var_859_axis_0, split_sizes = tile_0, x = x_cast_fp16)[name = tensor("op_859_cast_fp16")]; tensor var_859_cast_fp16_0_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_0_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_1_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_1_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_2_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_2_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_3_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_3_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_4_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_4_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_5_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_5_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_6_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_6_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_7_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_7_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_8_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_8_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_9_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_9_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_10_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_10_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_11_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_11_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_12_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_12_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_13_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_13_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_14_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_14_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_15_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_15_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_16_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_16_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_17_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_17_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_18_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_18_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_19_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_19_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_20_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_20_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_21_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_21_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_22_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_22_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_23_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_23_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_24_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_24_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_25_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_25_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_26_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_26_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_27_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_27_to_fp32_dtype_0"), val = tensor("fp32")]; tensor var_859_cast_fp16_28_to_fp32_dtype_0 = const()[name = tensor("op_859_cast_fp16_28_to_fp32_dtype_0"), val = tensor("fp32")]; tensor SubScoreDayZeroBoost = cast(dtype = var_859_cast_fp16_28_to_fp32_dtype_0, x = var_859_cast_fp16_28)[name = tensor("cast_58")]; tensor SubScoreInstall = cast(dtype = var_859_cast_fp16_27_to_fp32_dtype_0, x = var_859_cast_fp16_27)[name = tensor("cast_59")]; tensor SubScoreNeverLaunchedPenalty = cast(dtype = var_859_cast_fp16_26_to_fp32_dtype_0, x = var_859_cast_fp16_26)[name = tensor("cast_60")]; tensor SubScoreSBDock = cast(dtype = var_859_cast_fp16_25_to_fp32_dtype_0, x = var_859_cast_fp16_25)[name = tensor("cast_61")]; tensor SubScoreFeedbackCorrection = cast(dtype = var_859_cast_fp16_24_to_fp32_dtype_0, x = var_859_cast_fp16_24)[name = tensor("cast_62")]; tensor SubScoreFeedbackRejects = cast(dtype = var_859_cast_fp16_23_to_fp32_dtype_0, x = var_859_cast_fp16_23)[name = tensor("cast_63")]; tensor SubScoreFeedbackConfirms = cast(dtype = var_859_cast_fp16_22_to_fp32_dtype_0, x = var_859_cast_fp16_22)[name = tensor("cast_64")]; tensor SubScoreLogFeedback = cast(dtype = var_859_cast_fp16_21_to_fp32_dtype_0, x = var_859_cast_fp16_21)[name = tensor("cast_65")]; tensor SubScoreLinearFeedback = cast(dtype = var_859_cast_fp16_20_to_fp32_dtype_0, x = var_859_cast_fp16_20)[name = tensor("cast_66")]; tensor SubScoreSpotlight = cast(dtype = var_859_cast_fp16_19_to_fp32_dtype_0, x = var_859_cast_fp16_19)[name = tensor("cast_67")]; tensor SubScoreLaunch = cast(dtype = var_859_cast_fp16_18_to_fp32_dtype_0, x = var_859_cast_fp16_18)[name = tensor("cast_68")]; tensor SubScoreSBPage = cast(dtype = var_859_cast_fp16_17_to_fp32_dtype_0, x = var_859_cast_fp16_17)[name = tensor("cast_69")]; tensor SubScoreSBFolder = cast(dtype = var_859_cast_fp16_16_to_fp32_dtype_0, x = var_859_cast_fp16_16)[name = tensor("cast_70")]; tensor SubScoreDayOfWeek = cast(dtype = var_859_cast_fp16_15_to_fp32_dtype_0, x = var_859_cast_fp16_15)[name = tensor("cast_71")]; tensor SubScoreSSID = cast(dtype = var_859_cast_fp16_14_to_fp32_dtype_0, x = var_859_cast_fp16_14)[name = tensor("cast_72")]; tensor SubScoreLocationPopularity = cast(dtype = var_859_cast_fp16_13_to_fp32_dtype_0, x = var_859_cast_fp16_13)[name = tensor("cast_73")]; tensor SubScoreLaunchSequencePopularity = cast(dtype = var_859_cast_fp16_12_to_fp32_dtype_0, x = var_859_cast_fp16_12)[name = tensor("cast_74")]; tensor SubScoreCoarseTimeOfDayPopularity = cast(dtype = var_859_cast_fp16_11_to_fp32_dtype_0, x = var_859_cast_fp16_11)[name = tensor("cast_75")]; tensor SubScoreLaunchTimePopularity = cast(dtype = var_859_cast_fp16_10_to_fp32_dtype_0, x = var_859_cast_fp16_10)[name = tensor("cast_76")]; tensor SubScoreSpotlightLaunchPopularity = cast(dtype = var_859_cast_fp16_9_to_fp32_dtype_0, x = var_859_cast_fp16_9)[name = tensor("cast_77")]; tensor SubScoreTrending = cast(dtype = var_859_cast_fp16_8_to_fp32_dtype_0, x = var_859_cast_fp16_8)[name = tensor("cast_78")]; tensor SubScoreLaunchPopularity = cast(dtype = var_859_cast_fp16_7_to_fp32_dtype_0, x = var_859_cast_fp16_7)[name = tensor("cast_79")]; tensor SubScoreCoarseContextualBoost = cast(dtype = var_859_cast_fp16_6_to_fp32_dtype_0, x = var_859_cast_fp16_6)[name = tensor("cast_80")]; tensor SubScoreLocationBoost = cast(dtype = var_859_cast_fp16_5_to_fp32_dtype_0, x = var_859_cast_fp16_5)[name = tensor("cast_81")]; tensor SubScorePartOfWeekBoost = cast(dtype = var_859_cast_fp16_4_to_fp32_dtype_0, x = var_859_cast_fp16_4)[name = tensor("cast_82")]; tensor SubScoreTimeBoost = cast(dtype = var_859_cast_fp16_3_to_fp32_dtype_0, x = var_859_cast_fp16_3)[name = tensor("cast_83")]; tensor SubScoreLocationSuppression = cast(dtype = var_859_cast_fp16_2_to_fp32_dtype_0, x = var_859_cast_fp16_2)[name = tensor("cast_84")]; tensor SubScorePartOfWeekSuppression = cast(dtype = var_859_cast_fp16_1_to_fp32_dtype_0, x = var_859_cast_fp16_1)[name = tensor("cast_85")]; tensor SubScoreTimeSuppression = cast(dtype = var_859_cast_fp16_0_to_fp32_dtype_0, x = var_859_cast_fp16_0)[name = tensor("cast_86")]; tensor score = cast(dtype = var_856_cast_fp16_to_fp32_dtype_0, x = var_856_cast_fp16)[name = tensor("cast_87")]; tensor feedback = cast(dtype = _inversed_average_feedback_score_cast_fp16_to_fp32_dtype_0, x = _inversed_average_feedback_score_cast_fp16)[name = tensor("cast_94")]; } -> (score, SubScoreTimeSuppression, SubScorePartOfWeekSuppression, SubScoreLocationSuppression, SubScoreTimeBoost, SubScorePartOfWeekBoost, SubScoreLocationBoost, SubScoreCoarseContextualBoost, SubScoreLaunchPopularity, SubScoreTrending, SubScoreSpotlightLaunchPopularity, SubScoreLaunchTimePopularity, SubScoreCoarseTimeOfDayPopularity, SubScoreLaunchSequencePopularity, SubScoreLocationPopularity, SubScoreSSID, SubScoreDayOfWeek, SubScoreSBFolder, SubScoreSBPage, SubScoreLaunch, SubScoreSpotlight, SubScoreLinearFeedback, SubScoreLogFeedback, SubScoreFeedbackConfirms, SubScoreFeedbackRejects, SubScoreFeedbackCorrection, SubScoreSBDock, SubScoreNeverLaunchedPenalty, SubScoreInstall, SubScoreDayZeroBoost, feedback); }