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Results 1 - 2 of 2 for input_shape_dynamic (0.37 sec)

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

              'target_opset': quant_opts_pb2.TF,
              'input_shape_dynamic': False,
              'enable_per_channel_quantization': False,
          },
          {
              'testcase_name': 'dilation',
              'activation_fn': None,
              'has_bias': False,
              'has_batch_norm': False,
              'target_opset': quant_opts_pb2.TF,
              'input_shape_dynamic': False,
              'enable_per_channel_quantization': False,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 17 03:36:50 UTC 2024
    - 235.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py

          activation_fn: Optional[ops.Operation],
          has_batch_norm: bool,
          input_shape_dynamic: bool,
          enable_per_channel_quantized_weight: bool,
          merge_fusion_with_dequantize: bool,
          dilations: Sequence[int] = None,
          has_func_alias: bool = False,
      ):
        input_shape = (None, 3, 4, 3) if input_shape_dynamic else (1, 3, 4, 3)
        filter_shape = (2, 3, 3, 2)
        strides = (1, 1, 1, 1)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 06:31:57 UTC 2024
    - 51.4K bytes
    - Viewed (0)
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