5bbf4a1d11
This CL consists of two steps:
* First, refactor all Thunks to take an ThunkInfo instead of const HloInstruction*. This will benefit future extensions to ThunkInfo as we move away from HloInstruction*.
* Secondly, change the data pipeline from:
Emitter -> Thunk* -> hlo_instruction() -> profiler(HloInstruction*)
to:
Emitter -> Thunk with profile indices
The profile doesn't really depend on HloInstruction*, but just its pointer
identity. Removing the dependency on HloInstruction helps with MLIR migration.
PiperOrigin-RevId: 320687291
Change-Id: I7027d4c032f73ed615e5b520e01f3740781735be
99 lines
3.8 KiB
C++
99 lines
3.8 KiB
C++
/* Copyright 2019 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_GPU_THUNK_EMITTER_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_THUNK_EMITTER_H_
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#include "tensorflow/compiler/xla/service/buffer_assignment.h"
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#include "tensorflow/compiler/xla/service/gpu/thunk.h"
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#include "tensorflow/compiler/xla/statusor.h"
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#include "tensorflow/compiler/xla/types.h"
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namespace xla {
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namespace gpu {
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// Implements handling of GPU execution for HLO operations that are handed off
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// to specialized thunks that do not require code generation. Intended to be
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// mixed into GPU emitters.
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class ThunkEmitter {
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public:
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class EmissionContext {
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public:
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virtual void AddThunkToThunkSequence(std::unique_ptr<Thunk> thunk) = 0;
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virtual StatusOr<BufferAllocation::Slice> MaybeGetAllocationSlice(
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const HloInstruction& hlo, const ShapeIndex& index) const = 0;
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virtual int64 ByteSizeOf(const Shape& shape) const = 0;
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virtual absl::string_view platform_name() const = 0;
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virtual Thunk::ThunkInfo GetThunkInfo(const HloInstruction* hlo) const;
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virtual ~EmissionContext() = default;
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};
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explicit ThunkEmitter(EmissionContext* context) : context_(context) {}
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Status HandleCustomCall(HloInstruction* custom_call);
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Status HandleFft(HloInstruction* fft);
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Status HandleTriangularSolve(HloInstruction* hlo);
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Status HandleInfeed(HloInstruction* xla_infeed);
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Status HandleOutfeed(HloInstruction* outfeed);
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private:
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EmissionContext* context_;
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void AddThunkToThunkSequence(std::unique_ptr<Thunk> thunk) {
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return context_->AddThunkToThunkSequence(std::move(thunk));
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}
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StatusOr<BufferAllocation::Slice> MaybeGetAllocationSlice(
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const HloInstruction& hlo, const ShapeIndex& index) const {
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return context_->MaybeGetAllocationSlice(hlo, index);
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}
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int64 ByteSizeOf(const Shape& shape) { return context_->ByteSizeOf(shape); }
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absl::string_view platform_name() const { return context_->platform_name(); }
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BufferAllocation::Slice GetAllocationSlice(
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const HloInstruction& hlo, const ShapeIndex& index = {}) const {
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return MaybeGetAllocationSlice(hlo, index).ValueOrDie();
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}
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// Returns a FftThunk that calls cuFFT to implement `inst`.
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std::unique_ptr<Thunk> BuildFftThunk(const HloInstruction* inst);
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// Returns a CholeskyThunk that calls cuSolver to implement `inst`.
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std::unique_ptr<Thunk> BuildCholeskyThunk(const HloInstruction* inst);
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// Returns a TriangularSolveThunk that calls cuBlas to implement `inst`.
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std::unique_ptr<Thunk> BuildTriangularSolveThunk(const HloInstruction* inst);
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// Returns a GemmThunk that calls gemm to implement `inst`. The caller needs
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// to make sure `inst` outlives the lifetime of the returned Thunk object.
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std::unique_ptr<Thunk> BuildGemmThunk(const HloInstruction* inst);
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// Returns an InfeedThunk that performs a host-to-device memcpy to implement
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// `inst`.
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std::unique_ptr<Thunk> BuildInfeedThunk(const HloInstruction* inst);
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// Returns an OutfeedThunk that performs a device-to-host memcpy to implement
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// `inst`.
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std::unique_ptr<Thunk> BuildOutfeedThunk(const HloInstruction* inst);
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};
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} // namespace gpu
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_THUNK_EMITTER_H_
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