91 lines
3.3 KiB
C++
91 lines
3.3 KiB
C++
/* Copyright 2018 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_HLO_SHARDING_METADATA_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_HLO_SHARDING_METADATA_H_
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#include "absl/types/span.h"
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#include "tensorflow/compiler/xla/service/hlo_domain_metadata.h"
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#include "tensorflow/compiler/xla/service/hlo_instruction.h"
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#include "tensorflow/compiler/xla/service/hlo_sharding.h"
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#include "tensorflow/core/lib/core/status.h"
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namespace xla {
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// A DomainMetadata implementation that internally wraps a sharding attribute.
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class ShardingMetadata : public DomainMetadata {
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public:
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explicit ShardingMetadata(std::shared_ptr<const HloSharding> sharding)
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: sharding_(std::move(sharding)) {}
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std::unique_ptr<DomainMetadata> Clone() const override;
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absl::string_view Kind() const override { return KindName(); }
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bool Matches(const DomainMetadata& other) const override;
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size_t Hash() const override;
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string ToString() const override;
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const HloSharding* sharding() const { return sharding_.get(); }
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static absl::string_view KindName() { return "sharding"; }
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static StatusOr<const ShardingMetadata*> ToShardingMetadata(
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const DomainMetadata* metadata);
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// Apply the specified domain metadata onto the specified domain. If no
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// metadata is specified then apply sharding heuristics and normalize the
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// instructions whose sharding deviates from the one which is inferred as to
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// be the original one. Policy wise, HLO passes are allowed to create new
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// unassigned instructions, but if they do create assigned ones, they have to
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// conform to the ones around.
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static Status NormalizeShardingDomain(const DomainMetadata::Domain& domain,
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const DomainMetadata* metadata);
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private:
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std::shared_ptr<const HloSharding> sharding_;
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};
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// If the sharding between root and instruction changes then returns a
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// ShardingMetadata based kDomain instruction what can be used to separate
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// operand and instruction.
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// Returns nullptr if there is no need for a domain separation.
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class ShardingDomainCreator {
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public:
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HloInstruction* operator()(HloInstruction* instruction, HloInstruction* root,
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HloInstruction* operand);
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private:
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// Map from instruction and user sharding to domain users to CSE identical
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// domains.
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struct DomainCseMapKey {
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const HloInstruction* instruction;
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std::shared_ptr<const HloSharding> sharding;
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bool operator==(const DomainCseMapKey& other) const;
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};
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struct DomainCseMapHasher {
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size_t operator()(const DomainCseMapKey& key) const;
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};
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std::unordered_map<DomainCseMapKey, HloInstruction*, DomainCseMapHasher>
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domain_cse_map_;
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_HLO_SHARDING_METADATA_H_
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