33e390481a
- Fix a wrong shape inference check. - Remove the partition_count argument from AllGatherDecomposer: it is a per-HLO property related to the replica groups. - Change ID types from U32 to S32 to match replica ID type. PiperOrigin-RevId: 312391312 Change-Id: I00ead2e7fd3653c7dbde15fa7b623104a78b9a8c
49 lines
1.9 KiB
C++
49 lines
1.9 KiB
C++
/* Copyright 2020 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_ALL_GATHER_DECOMPOSER_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_ALL_GATHER_DECOMPOSER_H_
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#include "tensorflow/compiler/xla/service/hlo_instructions.h"
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#include "tensorflow/compiler/xla/service/hlo_module.h"
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#include "tensorflow/compiler/xla/service/hlo_pass_interface.h"
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namespace xla {
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// AllGatherDecomposer is a pass which converts unsupported all-gathers into
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// dynamic-update-slices and all-reduces.
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class AllGatherDecomposer : public HloModulePass {
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public:
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explicit AllGatherDecomposer(
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std::function<bool(const HloAllGatherInstruction&)> should_decompose)
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: should_decompose_(std::move(should_decompose)) {}
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AllGatherDecomposer()
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: should_decompose_(
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[](const HloAllGatherInstruction& ag) { return true; }) {}
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absl::string_view name() const override { return "all_gather_decomposer"; }
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// Run AllGatherDecomposer pass on computations in 'module'.
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// Returns whether the 'module' was changed.
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StatusOr<bool> Run(HloModule* module) override;
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private:
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std::function<bool(const HloAllGatherInstruction&)> should_decompose_;
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int64 partition_count_;
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_ALL_GATHER_DECOMPOSER_H_
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