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Results 1 - 10 of 14 for saved_model_path (0.25 sec)
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tensorflow/compiler/mlir/python/mlir.h
// // Args: // saved_model_path: File path from which to load the SavedModel. // exported_names_str: Comma-separated list of names to export. // Empty means "export all". // // Returns: // A string of textual MLIR representing the raw imported SavedModel. std::string ExperimentalConvertSavedModelToMlir( const std::string &saved_model_path, const std::string &exported_names_str,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 14 23:44:01 UTC 2023 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/saved_model_import.h
absl::string_view saved_model_path, const std::unordered_set<std::string>& tags, const std::vector<std::string>& signature_keys, MLIRContext& ctx ABSL_ATTRIBUTE_LIFETIME_BOUND); // Gets the function aliases from the SavedModel. absl::StatusOr<absl::flat_hash_map<FunctionName, FunctionAlias>> GetFunctionAliases(absl::string_view saved_model_path,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 4.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/quantize_model.h
absl::StatusOr<ExportedModel> QuantizeQatModel( absl::string_view saved_model_path, const std::vector<std::string>& signature_keys, const std::unordered_set<std::string>& tags, const QuantizationOptions& quantization_options); // Applies post-training dynamic-range quantization to the model. absl::StatusOr<ExportedModel> QuantizeDynamicRangePtq( absl::string_view saved_model_path, const std::vector<std::string>& signature_keys,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 15:31:08 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/saved_model_import.cc
} absl::StatusOr<absl::flat_hash_map<FunctionName, FunctionAlias>> GetFunctionAliases(absl::string_view saved_model_path, const std::unordered_set<std::string>& tags) { tensorflow::MetaGraphDef meta_graph; TF_RETURN_IF_ERROR(tensorflow::ReadMetaGraphDefFromSavedModel( saved_model_path, tags, &meta_graph)); absl::flat_hash_map<FunctionName, FunctionAlias> function_aliases(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/cc/saved_model/experimental/public/saved_model_api.h
}; inline std::unique_ptr<SavedModelAPI> SavedModelAPI::Load( const std::string& saved_model_path, const Runtime& runtime, Status* status, const std::unordered_set<std::string>* tags) { TF_SavedModel* saved_model = nullptr; if (tags == nullptr) { saved_model = TF_LoadSavedModel(saved_model_path.c_str(), runtime.GetTFEContext(), status->GetTFStatus()); } else {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Nov 04 00:45:47 UTC 2020 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/debuginfo/saved_model_error.py
# saved the model test_model = TestModule() saved_model_path = '/tmp/test.saved_model' save_options = tf.saved_model.SaveOptions(save_debug_info=True) tf.saved_model.save(test_model, saved_model_path, options=save_options) # load the model and convert converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_path) converter.convert() # pylint: disable=line-too-long
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/pywrap_function_lib.cc
exported_model, src_saved_model_path, tags, signature_def_map); } std::optional<bool> RunCalibration( const absl::string_view saved_model_path, const std::vector<std::string>& signature_keys, const std::unordered_set<std::string>& tags, const bool force_graph_mode_calibration,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 09 06:33:29 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/cc/saved_model/metrics.h
// Returns "/tensorflow/core/saved_model/write/path" cell, which contains // the saved_model_path of the SM when it is exported. monitoring::GaugeCell<std::string>& SavedModelWritePath(); // Returns "/tensorflow/core/saved_model/write/path_and_fingerprint" cell, which // contains the path (saved_model_path) and fingerprint (concatenation of // graph_def_program_hash, signature_def_hash, saved_object_graph_hash,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 18 23:43:59 UTC 2024 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/pywrap_function_lib.pyi
tags: set[str], serialized_signature_def_map: dict[str, bytes], ) -> Optional[bool]: ... # LINT.ThenChange() # LINT.IfChange(run_calibration) def run_calibration( self, saved_model_path: str, signature_keys: list[str], tags: set[str], force_graph_mode_calibration: bool, # Value type: RepresentativeDatasetFile. representative_dataset_file_map_serialized: dict[str, bytes],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 09 06:33:29 UTC 2024 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/py_function_lib.h
signature_def_map) const = 0; // LINT.ThenChange( // pywrap_function_lib.pyi:save_exported_model, // py_function_lib.py:save_exported_model, // ) // Runs calibration on a model saved at `saved_model_path`. `exported_model` // should be the corresponding exported model resulting from the // pre-calibration step. `signature_keys` is a set of keys that identify a
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 09 06:33:29 UTC 2024 - 5.2K bytes - Viewed (0)