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Results 1 - 2 of 2 for _create_and_save_vocab_table_lookup_qat_model_tf1 (0.62 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
) # shape: (2, 2) output_tensor = math_ops.matmul(matmul_input, weight) return input_vocabs_placeholder, lookup_vals, output_tensor def _create_and_save_vocab_table_lookup_qat_model_tf1( self, output_path: str, tags: Collection[str], signature_def_key: str, ) -> Tuple[Mapping[str, core.Tensor], Mapping[str, core.Tensor]]:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
signature_def_key = signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY # Create and save a simple model that involves a hash table. inputs, outputs = self._create_and_save_vocab_table_lookup_qat_model_tf1( self._input_saved_model_path, tags, signature_def_key ) # Make sure that the desired input key and output key is present. self.assertIn('input_vocabs', inputs.keys())
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0)