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Results 1 - 3 of 3 for MetaGraphDef (0.24 sec)
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tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
class SimpleSavedModelMLIRImportInput : public SavedModelMLIRImportInput { public: static absl::StatusOr<SimpleSavedModelMLIRImportInput> Create( const MLIRImportOptions& import_options, const MetaGraphDef* meta_graph_def, const GraphDebugInfo& debug_info) { DCHECK(meta_graph_def); GraphDef graph_def(meta_graph_def->graph_def()); auto graph = std::make_unique<Graph>(OpRegistry::Global());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 183.2K bytes - Viewed (0) -
tensorflow/c/c_api.cc
tensorflow::LoadSavedModel(session_options->options, run_options_proto, export_dir, tag_set, &bundle); if (!status->status.ok()) return nullptr; // Create a TF_Graph from the MetaGraphDef. This is safe as long as Session // extends using GraphDefs. The Graph instance is different, but equivalent // to the one used to create the session. //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
) data_gen = self._create_data_generator( input_key='input', shape=input_placeholder.shape ) with self.assertRaisesRegex( RuntimeError, "MetaGraphDef associated with tags {'serve'} could not be found", ): quantize_model.quantize( self._input_saved_model_path, self._output_saved_model_path, quantization_options,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0)