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Results 1 - 3 of 3 for set_kernel_input_feature_dimension (0.59 sec)

  1. tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_ops_to_mhlo.cc

      dnums.set_input_feature_dimension(dnums_input.input_feature_dimension());
      for (auto value : dnums_input.input_spatial_dimensions()) {
        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());
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 17 17:58:54 UTC 2024
    - 30.9K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc

      dnums.set_input_batch_dimension(0);
      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);
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 47.1K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/schema/schema_generated.h

        VT_LHS_DILATION = 8,
        VT_RHS_DILATION = 10,
        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,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 21 18:21:50 UTC 2024
    - 1M bytes
    - Viewed (0)
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