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Results 1 - 10 of 13 for input_filename (0.29 sec)
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tensorflow/compiler/mlir/tensorflow/utils/import_utils.cc
} template <class T> Status LoadProtoFromFileImpl(absl::string_view input_filename, T* proto) { const auto file_or_err = llvm::MemoryBuffer::getFileOrSTDIN(StringViewToRef(input_filename)); if (std::error_code error = file_or_err.getError()) { return errors::InvalidArgument( "Could not open input file ", string(input_filename.data(), input_filename.size()).c_str()); } const auto& input_file = *file_or_err;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Feb 26 03:47:51 UTC 2024 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/utils/utils.cc
absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ImportFlatbufferOrMlir( const std::string& input_filename, bool input_mlir, bool experimental_prune_unreachable_nodes_unconditionally, llvm::SourceMgr* source_mgr, mlir::MLIRContext* context) { std::string error; std::unique_ptr<llvm::MemoryBuffer> buffer = mlir::openInputFile(input_filename, &error); if (buffer == nullptr) { return absl::InvalidArgumentError(absl::StrFormat(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 03 03:47:03 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.h
// Setting prune_unused_nodes to true, would prune unreachable nodes if // output_arrays is specified. absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> LoadFromGraphdefOrMlirSource( const std::string& input_filename, bool input_mlir, bool use_splatted_constant, const std::vector<std::string>& extra_tf_opdefs, const GraphImportConfig& specs, absl::string_view debug_info_file,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 08:30:24 UTC 2024 - 4.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.cc
} pass_manager.clear(); return mlir::success(); } } // namespace absl::StatusOr<OwningOpRef<ModuleOp>> LoadFromGraphdefOrMlirSource( const std::string& input_filename, bool input_mlir, bool use_splatted_constant, const std::vector<std::string>& extra_tf_opdefs, const GraphImportConfig& specs, absl::string_view debug_info_file,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 23.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/utils/utils.h
namespace mlir { namespace TFL { namespace tac { // Import the file as mlir module, the input maybe flatbuffer or mlir file. absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> ImportFlatbufferOrMlir( const std::string& input_filename, bool input_mlir, bool experimental_prune_unreachable_nodes_unconditionally, llvm::SourceMgr* source_mgr, mlir::MLIRContext* context); // Export the module to file, can be either mlir or flatbuffer.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 03 03:47:03 UTC 2024 - 1.9K bytes - Viewed (0) -
docs/debugging/inspect/main.go
} } func processFile(inputFileName string, privateKey []byte) { // Calculate the output file name var outputFileName string switch { case strings.HasSuffix(inputFileName, ".enc"): outputFileName = strings.TrimSuffix(inputFileName, ".enc") + ".zip" case strings.HasSuffix(inputFileName, ".zip"): outputFileName = strings.TrimSuffix(inputFileName, ".zip") + ".decrypted.zip"
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 31 14:49:23 UTC 2024 - 5.2K bytes - Viewed (0) -
platforms/core-execution/execution-e2e-tests/src/integTest/groovy/org/gradle/integtests/FileSystemRootUpToDateIntegrationTest.groovy
succeeds taskName outputFile.text.contains inputFileName cleanup: cleanupSubst(drive) } def "up to date check works from filesystem's root - input file to output folder copy"() { def drive = 'Y:' substRoot(drive) def inputFileName = "input.txt" def inputFile = file(inputFileName) inputFile << 'content'
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Mar 04 10:15:40 UTC 2024 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/tfl_quantizer.cc
llvm::InitLLVM y(argc, argv); llvm::cl::ParseCommandLineOptions(argc, argv); auto file_or_err = llvm::MemoryBuffer::getFileOrSTDIN(inputFileName.c_str()); if (std::error_code error = file_or_err.getError()) { llvm::errs() << argv[0] << ": could not open input file '" << inputFileName << "': " << error.message() << "\n"; return 1; } auto buffer = file_or_err->get(); std::string output_buffer;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc
llvm::InitLLVM y(argc, argv); llvm::cl::ParseCommandLineOptions(argc, argv); auto file_or_err = llvm::MemoryBuffer::getFileOrSTDIN(inputFileName.c_str()); if (std::error_code error = file_or_err.getError()) { llvm::errs() << argv[0] << ": could not open input file '" << inputFileName << "': " << error.message() << "\n"; return 1; } auto buffer = file_or_err->get(); auto maybe_module =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tf_tfl_translate.cc
module = tensorflow::ImportSavedModel( input_file_name, saved_model_version, tags, extra_opdefs, exported_names, specs, /*enable_variable_lifting=*/true, &context, &bundle); } else if (import_hlo) { // HLO import path. std::string error; std::unique_ptr<llvm::MemoryBuffer> buffer = mlir::openInputFile(input_file_name, &error); if (buffer == nullptr) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 14K bytes - Viewed (0)