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tensorflow/compiler/mlir/lite/experimental/tac/tac.py
Invalid model_path. Targets are not specified. Invalid output_path. """ if not model_path: raise ValueError("Invalid model_path.") if not targets: raise ValueError("Targets are not specified.") if not output_path: raise ValueError("Invalid output_path.")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jul 21 01:22:53 UTC 2021 - 1.5K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/cpp_generator.cc
return GenerateOneFile(cpp::RendererContext::kSource); } string CppGenerator::HeaderFileName() const { return io::JoinPath(path_config_.output_path, cpp_config_.unit + "_ops.h"); } string CppGenerator::SourceFileName() const { return io::JoinPath(path_config_.output_path, cpp_config_.unit + "_ops.cc"); } void CppGenerator::WriteHeaderFile() const { controller_.WriteFile(HeaderFileName(), HeaderFileContents()); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 21 18:51:25 UTC 2021 - 2.2K bytes - Viewed (0) -
ci/official/utilities/extract_resultstore_links.py
elem.tail = indent_str def create_xml_file(result_store_dict: ResultDictType, output_path: str, verbose: bool = False): """Creates a JUnit-based XML file, with each invocation as a testcase.""" os.makedirs(os.path.dirname(output_path), exist_ok=True) failure_count = 0 error_count = 0 date_time = datetime.datetime
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Nov 08 17:50:27 UTC 2023 - 10.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
def _create_and_save_vocab_table_lookup_model_tf1( self, output_path: str, tags: Collection[str], signature_def_key: str, ) -> Tuple[Mapping[str, core.Tensor], Mapping[str, core.Tensor]]: """Creates and saves a simple model that uses a vocab table. Args: output_path: Path to the directory to save the created model.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/common/path_config.h
#define TENSORFLOW_C_EXPERIMENTAL_OPS_GEN_COMMON_PATH_CONFIG_H_ #include "tensorflow/core/platform/types.h" namespace tensorflow { namespace generator { struct PathConfig { string output_path; std::vector<string> op_names; std::vector<string> api_dirs; string tf_prefix_dir; string tf_root_dir; string tf_output_dir; explicit PathConfig() = default;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 15 18:23:40 UTC 2021 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/odml_to_stablehlo.cc
opt<std::string> input_model(llvm::cl::Positional, llvm::cl::desc("<input model path>"), llvm::cl::Required); // NOLINTNEXTLINE opt<std::string> output_path("o", llvm::cl::desc("<output path>"), llvm::cl::Required); // NOLINTNEXTLINE opt<std::string> export_type("export-type", llvm::cl::desc("<export type>"),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:16:49 UTC 2024 - 14.1K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/common/path_config.cc
namespace generator { PathConfig::PathConfig(const string& output_dir, const string& source_dir, const string& api_dir_list, const std::vector<string> op_names) : output_path(output_dir), op_names(op_names) { api_dirs = str_util::Split(api_dir_list, ",", str_util::SkipEmpty()); // Decompose the directory components given the output/source directories. //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 09:51:28 UTC 2024 - 2.6K bytes - Viewed (0) -
hack/lib/golang.sh
kube::golang::outfile_for_binary() { local binary=$1 local platform=$2 local output_path="${KUBE_GOPATH}/bin" local bin bin=$(basename "${binary}") if [[ "${platform}" != "${host_platform}" ]]; then output_path="${output_path}/${platform//\//_}" fi if [[ ${GOOS} == "windows" ]]; then bin="${bin}.exe" fi echo "${output_path}/${bin}" } # Argument: the name of a Kubernetes package.
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Sat Jun 01 16:43:08 UTC 2024 - 32.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/README.md
Once you have a converted TfLite model ready, you can use the following command to use TAC to optimize for your model: ``` bazel run -c opt //tensorflow/compiler/mlir/lite/experimental/tac:tac-translate -- <PATH_TO_YOUR_MODEL> -o=<OUTPUT_PATH> -device-specs=<HARDWARE_BACKENDS> ``` The devices_specs is a list of the names of the desired hardware backends, separated by comma, e.g., "GPU,CPU".
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 29 18:32:13 UTC 2022 - 11.6K bytes - Viewed (0)