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Results 1 - 3 of 3 for assertCountEqual (0.17 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
converted_model = quantize_model.quantize( self._input_saved_model_path, representative_dataset=self._simple_model_data_gen(), ) self.assertIsNotNone(converted_model) self.assertCountEqual( converted_model.signatures._signatures.keys(), {'serving_default'} ) # Indirectly prove that it is performing a static-range quantization
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
root = load.load(self._output_saved_model_path) self.assertCountEqual(root.signatures.keys(), {'serving_default'}) new_outputs_1 = root.signatures['serving_default']( x=ops.convert_to_tensor(input_data) ) root = load.load(output_saved_model_path_2) self.assertCountEqual(root.signatures.keys(), {'serving_default'}) new_outputs_2 = root.signatures['serving_default'](
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/tensorflow/python/representative_dataset_test.py
dataset_file_map = saver.save(repr_ds_map) self.assertCountEqual(dataset_file_map.keys(), ['serving_default']) dataset_map = repr_dataset.TfRecordRepresentativeDatasetLoader( dataset_file_map ).load() self.assertCountEqual(dataset_map.keys(), ['serving_default']) samples = dataset_map['serving_default'] for sample in samples: self.assertCountEqual(sample.keys(), {'x'})
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 04 07:35:19 UTC 2024 - 11.6K bytes - Viewed (0)