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Results 1 - 2 of 2 for has_batch_norm (0.11 sec)

  1. tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py

            filter_shape,
            self._input_saved_model_path,
            bias_fn,
            activation_fn,
            has_batch_norm,
            strides,
            dilations,
            'SAME',
            has_func_alias,
        )
        # TODO: b/331809306 - Investigate why these test fail then re-enable.
        if has_batch_norm and (bias_fn or not input_shape_dynamic):
          return
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 06:31:57 UTC 2024
    - 51.4K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py

        return GatherModel(use_variable)
    
      def _create_depthwise_conv2d_model(
          self,
          input_shape: Sequence[int],
          filter_shape: Sequence[int],
          has_bias: bool = False,
          has_batch_norm: bool = False,
          activation_fn: Optional[ops.Operation] = None,
          strides: Sequence[int] = (1, 2, 2, 1),
          dilations: Sequence[int] = (1, 1, 1, 1),
          padding: str = 'SAME',
      ):
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 21 08:51:46 UTC 2024
    - 51.2K bytes
    - Viewed (0)
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