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