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