f460141434
This also moves some utilities of interpreting convolutions as dots. PiperOrigin-RevId: 312868839 Change-Id: I90bdc30217edf6dfb301a9c80b7155653391fa1a
51 lines
2.0 KiB
C++
51 lines
2.0 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_SHARDING_PROPAGATION_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_SHARDING_PROPAGATION_H_
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#include <memory>
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#include <vector>
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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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#include "tensorflow/compiler/xla/statusor.h"
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namespace xla {
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// Propagates sharding information around the graph. HLOs that have shardings
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// are kept as-is, those that do not have shardings are given shardings based on
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// a simple local greedy heuristic.
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class ShardingPropagation : public HloModulePass {
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public:
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explicit ShardingPropagation(bool is_spmd = false) : is_spmd_(is_spmd) {}
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absl::string_view name() const override { return "sharding-propagation"; }
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StatusOr<bool> Run(HloModule* module) override;
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// Function which can be used to apply a spatially partitioned sharding onto a
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// given domain. It will apply the sharding into the exit edges of the domain
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// and then rely on the rest of sharding propagation to ensure that the
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// intermediate nodes get the correct sharding.
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static Status NormalizeDomain(const DomainMetadata::Domain& domain,
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const DomainMetadata* metadata);
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private:
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bool is_spmd_;
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_SHARDING_PROPAGATION_H_
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