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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/output_arrays.mlir
Tres Popp <******@****.***> 1648106941 -0700
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 07:35:24 UTC 2022 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/saved_model_to_tfl_flatbuffer.cc
for (const auto& output_array : model_flags.output_arrays()) { if (function_output_names_set.count(output_array) == 0) { return errors::InvalidArgument("output array name (", output_array, ") does not exist in the given graph"); } } return absl::OkStatus(); } Status ConvertSavedModelToTFLiteFlatBuffer(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:39:37 UTC 2024 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.cc
const std::vector<std::string>& output_arrays, const std::vector<std::string>& control_output_arrays, const GraphdefToMlirOptions& import_options, mlir::MLIRContext* context) { auto module_or = GraphdefToMlirImport( input, input_arrays, input_dtypes, input_shapes, output_arrays, control_output_arrays, import_options, context); if (!module_or.status().ok()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 11:51:44 UTC 2024 - 14.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/graphdef_to_tfl_flatbuffer.cc
ParseInputArrayInfo(node_names, node_dtypes, node_shapes, &specs.inputs)); // Parse output arrays. std::vector<std::string> output_arrays(model_flags.output_arrays().begin(), model_flags.output_arrays().end()); TF_RETURN_IF_ERROR(ParseOutputArrayInfo(output_arrays, &specs.outputs)); // Parse control output arrays. std::vector<std::string> control_output_arrays(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 5.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.h
llvm::StringRef input, const std::vector<std::string>& input_arrays, const std::vector<std::string>& input_dtypes, const std::vector<std::optional<std::vector<int>>>& input_shapes, const std::vector<std::string>& output_arrays, const std::vector<std::string>& control_output_arrays, const GraphdefToMlirOptions& import_options, mlir::MLIRContext* context); ABSL_DEPRECATED(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.h
// source into a MLIR module. If `input_mlir` is true, load from a MLIR source // file; otherwise, load from a GraphDef. // 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,
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/tensorflow/translate/tf_mlir_translate_registration.cc
enable_soft_placement, set_original_tf_func_name}; auto module_or = tensorflow::GraphdefToMlirTranslateFunction( input, input_arrays, input_dtypes, input_shapes, output_arrays, control_output_arrays, options, context); if (!module_or.status().ok()) return nullptr; return std::move(module_or).value(); } static TranslateToMLIRRegistration GraphdefToMlirTranslate(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 22:19:26 UTC 2024 - 7.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate_cl.h
// Import options. extern llvm::cl::opt<std::string> input_arrays; extern llvm::cl::opt<std::string> input_dtypes; extern llvm::cl::opt<std::string> input_shapes; extern llvm::cl::opt<std::string> output_arrays; extern llvm::cl::opt<std::string> control_output_arrays; extern llvm::cl::opt<std::string> inference_type; extern llvm::cl::opt<std::string> min_values; extern llvm::cl::opt<std::string> max_values;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 10 20:59:50 UTC 2023 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.cc
file->getBuffer(), input_arrays, input_dtypes, input_shapes, output_arrays, control_output_arrays, graphdef_conversion_options, context); } return GraphdefToMlirTranslateFunction(file->getBuffer(), input_arrays, input_dtypes, input_shapes, output_arrays, control_output_arrays,
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/tensorflow/translate/tf_mlir_translate_cl.cc
"Input tensor shapes. Shapes for different tensors are separated by " "':', and dimension sizes for the same tensor are separated by ','"), llvm::cl::init("")); // NOLINTNEXTLINE opt<std::string> output_arrays( "tf-output-arrays", llvm::cl::desc("Output tensor names, separated by ','"), llvm::cl::init("")); // NOLINTNEXTLINE opt<std::string> control_output_arrays( "tf-control-output-arrays",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 10 20:59:50 UTC 2023 - 5.5K bytes - Viewed (0)