75 lines
2.9 KiB
C++
75 lines
2.9 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_XLA_SERVICE_INTERPRETER_COMPILER_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_INTERPRETER_COMPILER_H_
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#include <memory>
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#include <vector>
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#include "tensorflow/compiler/xla/service/compiler.h"
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#include "tensorflow/compiler/xla/service/executable.h"
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#include "tensorflow/compiler/xla/service/hlo_cost_analysis.h"
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#include "tensorflow/compiler/xla/service/hlo_module.h"
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#include "tensorflow/compiler/xla/service/hlo_module_config.h"
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#include "tensorflow/compiler/xla/service/interpreter/platform_id.h"
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#include "tensorflow/compiler/xla/status.h"
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#include "tensorflow/compiler/xla/statusor.h"
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#include "tensorflow/core/lib/core/status.h"
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#include "tensorflow/core/platform/macros.h"
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#include "tensorflow/stream_executor/stream_executor.h"
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namespace xla {
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namespace interpreter {
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// Despite the inherited "compiler" naming, InterpreterCompiler does not
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// perform any lowering as other backends do. It operates at HLO-level for
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// and is responsible for generating an InterpreterExecutable.
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// Refer to interpreter/README.md for more.
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class InterpreterCompiler : public Compiler {
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public:
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InterpreterCompiler() {}
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~InterpreterCompiler() override {}
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StatusOr<std::unique_ptr<HloModule>> RunHloPasses(
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std::unique_ptr<HloModule> hlo_module, se::StreamExecutor* stream_exec,
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const CompileOptions& options) override;
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StatusOr<std::unique_ptr<Executable>> RunBackend(
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std::unique_ptr<HloModule> hlo_module, se::StreamExecutor* stream_exec,
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const CompileOptions& options) override;
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StatusOr<std::vector<std::unique_ptr<Executable>>> Compile(
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std::unique_ptr<HloModuleGroup> module_group,
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std::vector<std::vector<se::StreamExecutor*>> stream_exec,
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const CompileOptions& options) override;
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StatusOr<std::vector<std::unique_ptr<AotCompilationResult>>>
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CompileAheadOfTime(std::unique_ptr<HloModuleGroup> module_group,
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const AotCompilationOptions& aot_options) override;
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HloCostAnalysis::ShapeSizeFunction ShapeSizeBytesFunction() const override;
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se::Platform::Id PlatformId() const override;
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private:
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Status RunHloOptimization(HloModule* hlo_module);
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TF_DISALLOW_COPY_AND_ASSIGN(InterpreterCompiler);
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};
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} // namespace interpreter
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_INTERPRETER_COMPILER_H_
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