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Results 1 - 4 of 4 for has_batch_norm (0.26 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
'has_bias': [True, False], 'has_batch_norm': [True, False], 'target_opset': [quant_opts_pb2.XLA], }]) ) @test_util.run_in_graph_and_eager_modes def test_qat_conv_model( self, activation_fn: Optional[ops.Operation], has_bias: bool, has_batch_norm: bool, target_opset: quant_opts_pb2.OpSet, ):
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
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
input_shape: Sequence[int], filter_shape: Sequence[int], saved_model_path: str, bias_fn: Optional[ops.Operation] = None, activation_fn: Optional[ops.Operation] = None, has_batch_norm: bool = False, strides: Sequence[int] = (1, 1, 1, 1), dilations: Sequence[int] = (1, 1, 1, 1), padding: str = 'SAME', has_func_alias: bool = False, ) -> module.Module:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0) -
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)