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Results 1 - 2 of 2 for RepresentativeDatasetSaver (0.21 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset_test.py
sample, signature_def ) self.assertEmpty(feed_dict) class RepresentativeDatasetSaverTest(test.TestCase): """Test cases for RepresentativeDatasetSaver.""" def test_save_raises_error(self): saver = repr_dataset.RepresentativeDatasetSaver() repr_ds = {'serving_default': []} with self.assertRaisesRegex( NotImplementedError, 'Method "save" is not implemented.' ):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 04 07:35:19 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset.py
_RepresentativeDataSample = quantization_options_pb2.RepresentativeDataSample _RepresentativeDatasetFile = quantization_options_pb2.RepresentativeDatasetFile class RepresentativeDatasetSaver: """Representative dataset saver. Exposes a single method `save` that saves the provided representative dataset into files. This is useful when you would like to keep a snapshot of your representative
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 22:55:22 UTC 2024 - 14.2K bytes - Viewed (0)