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Results 1 - 3 of 3 for set_kernel_output_feature_dimension (0.69 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_ops_to_mhlo.cc
dnums.add_input_spatial_dimensions(value); } dnums.set_kernel_input_feature_dimension( dnums_input.kernel_input_feature_dimension()); dnums.set_kernel_output_feature_dimension( dnums_input.kernel_output_feature_dimension()); for (auto value : dnums_input.kernel_spatial_dimensions()) { dnums.add_kernel_spatial_dimensions(value); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 30.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc
dnums.set_input_feature_dimension(num_dims - 1); // Kernel: [K, K, I, O] for Conv2D or [K, K, K, I, O] for Conv3D. dnums.set_kernel_input_feature_dimension(num_dims - 2); dnums.set_kernel_output_feature_dimension(num_dims - 1); // Output: [N, H, W, C] for Conv2D or [N, D, H, W, C] for Conv3D. dnums.set_output_batch_dimension(0); dnums.set_output_feature_dimension(num_dims - 1);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 47.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
VT_WINDOW_REVERSAL = 12, VT_INPUT_BATCH_DIMENSION = 14, VT_INPUT_FEATURE_DIMENSION = 16, VT_INPUT_SPATIAL_DIMENSIONS = 18, VT_KERNEL_INPUT_FEATURE_DIMENSION = 20, VT_KERNEL_OUTPUT_FEATURE_DIMENSION = 22, VT_KERNEL_SPATIAL_DIMENSIONS = 24, VT_OUTPUT_BATCH_DIMENSION = 26, VT_OUTPUT_FEATURE_DIMENSION = 28, VT_OUTPUT_SPATIAL_DIMENSIONS = 30, VT_FEATURE_GROUP_COUNT = 32,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0)