Derive HloModulePass and HloModuleGroupPass from HloPassInterface which run module-scoped and module-group-scoped respectively. Replace all existing uses of HloPassInterface with HloModulePass because all existing passes are module-scoped. Also rewrite HloPassPipeline to support both module-scoped and module-group-scoped passes. PiperOrigin-RevId: 213629604
		
			
				
	
	
		
			60 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			60 lines
		
	
	
		
			2.3 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_DOMAIN_REMOVER_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_HLO_DOMAIN_REMOVER_H_
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#include "tensorflow/compiler/xla/service/hlo_domain_metadata.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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#include "tensorflow/core/lib/core/status.h"
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namespace xla {
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// Removes all the kDomain instructions of a given kind from the input module,
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// and calls the normalizer to propagate the properties on the possibly new born
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// instructions.
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class HloDomainRemover : public HloModulePass {
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 public:
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  // Creates a new HloDomainRemover object tasked at removing all the kDomain
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  // instructions of a given kind.
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  // In case a reachable set (the set of instructions within a computation,
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  // which are mutually reachable via operand/user pathways) has all the
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  // instructions in it with the same attributes (ie, sharding), a normalizer
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  // function is tasked at applying attribute normalization on the instructions
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  // within such domain.
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  HloDomainRemover(absl::string_view kind,
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                   std::function<Status(const DomainMetadata::Domain&,
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                                        const DomainMetadata* metadata)>
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                       normalizer)
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      : kind_(kind), normalizer_(std::move(normalizer)) {}
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  absl::string_view name() const override { return "domain_remover"; }
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  StatusOr<bool> Run(HloModule* module) override;
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 private:
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  class RunContext;
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  string kind_;
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  std::function<Status(const DomainMetadata::Domain&,
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                       const DomainMetadata* metadata)>
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      normalizer_;
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};
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}  // namespace xla
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#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_HLO_DOMAIN_REMOVER_H_
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