127 lines
5.1 KiB
C++
127 lines
5.1 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_COMPILER_AOT_CODEGEN_H_
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#define TENSORFLOW_COMPILER_AOT_CODEGEN_H_
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#include <vector>
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#include "absl/status/status.h"
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#include "absl/status/statusor.h"
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#include "absl/strings/string_view.h"
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#include "tensorflow/compiler/aot/compile.h"
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#include "tensorflow/compiler/tf2xla/tf2xla.pb.h"
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#include "xla/util/embedded_constant_buffers.h"
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#include "tensorflow/core/platform/types.h"
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namespace tensorflow {
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namespace tfcompile {
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// CodegenOpts specifies code generation options for the generated header file
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// and the generated metadata object file.
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struct CodegenOpts {
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// The name of the generated C++ class, wrapping the generated function.
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std::string class_name;
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// Target triple for the architecture we're targeting.
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std::string target_triple;
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// Namespaces specifies a list of C++ namespaces to add to the generated
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// header. If empty, all symbols will be in the global namespace.
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std::vector<std::string> namespaces;
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// If true, generate name-to-index data for Lookup{Arg,Result}Index methods.
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bool gen_name_to_index = false;
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// If true, generate program shape data for the ProgramShape method.
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bool gen_program_shape = false;
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// If true, emit a serialized HloProfilePrinterData protobuf that can be used
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// to pretty print HLO profile counters.
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bool gen_hlo_profile_printer_data = false;
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// If true, sets this executable as an XLA Runtime one.
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bool use_xla_runtime = false;
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// If true, use xla cpu nanort runtime.
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bool use_xla_nanort_runtime = false;
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};
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// Describes a generated metadata object file.
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struct MetadataResult {
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// These are top level "extern C" declarations that are expected to be visible
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// wherever program_shape_access_shim is emitted.
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std::vector<std::string> header_variable_decls;
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// program_shape_access_shim is a C++ expression that constructs the
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// xla::ProgramShapeProto instance for the CompileResult passed to
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// GenerateMetadata.
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std::string program_shape_access_shim;
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// hlo_profile_printer_data_access_shim is a C++ expression that constructs
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// the xla::HloProfilePrinterData instance for the CompileResult passed to
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// GenerateMetadata. If the xla::HloProfilePrinterData is null then this is a
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// C++ expression that evaluates to nullptr at runtime.
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// This is set only for AOT legacy.
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std::string hlo_profile_printer_data_access_shim;
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// cpu_executable_access_shim is a C++ expression that constructs
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// a protobuf required to construct a CpuExecutable.
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// This is set only for AOT thunks.
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std::string cpu_executable_access_shim;
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// The contents of the object (".o") file.
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std::string object_file_data;
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};
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// Generates a set of constant buffers embedded into an object file.
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absl::StatusOr<xla::EmbeddedConstantBuffers> GenerateConstantBuffersData(
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const CodegenOpts& opts, const CompileResult& compile_result);
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// Generates a metadata object file according to `opts` and
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// `compile_result`. The generated object file is returned via
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// `metadata_result`.
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absl::Status GenerateMetadata(const CodegenOpts& opts,
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const CompileResult& compile_result,
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MetadataResult* metadata_result);
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// GenerateHeader uses the meta-information from compile_result to generate a
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// C++ header giving access to the function in the generated object file. The
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// header includes API usage documentation.
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//
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// metadata_result is an instance of MetadataResult obtained by a previous
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// invocation to GenerateMetadata.
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absl::Status GenerateHeader(
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const CodegenOpts& opts, const tf2xla::Config& config,
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const CompileResult& compile_result, const MetadataResult& metadata_result,
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const xla::EmbeddedConstantBuffers& embedded_constant_buffers,
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std::string* header);
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// ParseCppClass parses `cpp_class` into its `class_name` and `namespaces`
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// components. The syntax is [[<optional_namespace>::],...]<class_name>. This
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// mirrors the C++ syntax for referring to a class, where multiple namespaces
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// may precede the class name, separated by double-colons.
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absl::Status ParseCppClass(const std::string& cpp_class,
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std::string* class_name,
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std::vector<std::string>* namespaces);
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// ValidateCppIdent returns OK iff ident is a valid C++ identifier. The msg is
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// appended to error messages.
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absl::Status ValidateCppIdent(absl::string_view ident, absl::string_view msg);
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} // namespace tfcompile
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_AOT_CODEGEN_H_
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