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Results 1 - 3 of 3 for tfrecord_file_path (0.2 sec)

  1. tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset.py

        logging.info(
            'Saved representative dataset for signature def: %s to: %s',
            signature_def_key,
            tfrecord_file_path,
        )
        return _RepresentativeDatasetFile(
            tfrecord_file_path=str(tfrecord_file_path)
        )
    
      def save(
          self, representative_dataset: RepresentativeDatasetMapping
      ) -> Mapping[str, _RepresentativeDatasetFile]:
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 22 22:55:22 UTC 2024
    - 14.2K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/stablehlo/cc/calibration/representative_dataset_test.cc

      EXPECT_THAT(*representative_dataset_file_map,
                  Contains(Key("serving_default")));
      EXPECT_THAT(representative_dataset_file_map->at("serving_default")
                      .tfrecord_file_path(),
                  StrEq("test_path"));
    }
    
    TEST(CreateRepresentativeDatasetFileMapTest, ConfigWithExplicitSignatureKey) {
      std::vector<RepresentativeDatasetConfig> representative_dataset_configs;
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Jan 29 04:53:21 UTC 2024
    - 4.3K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/quantization/tensorflow/quantization_options.proto

    message RepresentativeDatasetFile {
      // Only TfRecord file is supported at the moment but defining this field
      // as oneof so it can be easily extended to support other types.
      oneof dataset_file {
        string tfrecord_file_path = 1;
      }
    }
    
    // Defines various options to specify and control the behavior of the quantizer.
    // It consists of
    // 1) Model-wise quantization configuration as a default configuration. If it is
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 19 06:31:19 UTC 2024
    - 9.2K bytes
    - Viewed (0)
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