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Diffstat (limited to 'tensorflow/compiler/xla/service/hlo_module_group.h')
-rw-r--r-- | tensorflow/compiler/xla/service/hlo_module_group.h | 81 |
1 files changed, 81 insertions, 0 deletions
diff --git a/tensorflow/compiler/xla/service/hlo_module_group.h b/tensorflow/compiler/xla/service/hlo_module_group.h new file mode 100644 index 0000000000..7338be8b9c --- /dev/null +++ b/tensorflow/compiler/xla/service/hlo_module_group.h @@ -0,0 +1,81 @@ +/* Copyright 2018 The TensorFlow Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +==============================================================================*/ + +#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_HLO_MODULE_GROUP_H_ +#define TENSORFLOW_COMPILER_XLA_SERVICE_HLO_MODULE_GROUP_H_ + +#include <iosfwd> +#include <string> +#include <vector> + +#include "absl/strings/string_view.h" +#include "absl/types/span.h" +#include "tensorflow/compiler/xla/service/hlo.pb.h" +#include "tensorflow/compiler/xla/service/hlo_module.h" + +namespace xla { + +// An abstraction representing a ordered set of HLO module built to run +// concurrently across different devices. +class HloModuleGroup { + public: + // Construct an empty module group. + explicit HloModuleGroup(absl::string_view name) : name_(name) {} + + // Construct a module group containing a single module. + HloModuleGroup(absl::string_view name, std::unique_ptr<HloModule> module); + + // Construct a module group containing any number of modules. + HloModuleGroup(absl::string_view name, + absl::Span<std::unique_ptr<HloModule>> modules); + + // Returns the modules contained in the group. + const std::vector<HloModule*>& modules() const { return module_ptrs_; } + + // Returns a module at a particular index. + HloModule& module(int index) const { return *module_ptrs_.at(index); } + + // Add a module to the back of vector of modules in the group. + void push_back(std::unique_ptr<HloModule> module); + + // Moves all modules from the group into the returned vector. After this + // method runs, the module group will be empty. + std::vector<std::unique_ptr<HloModule>> ConsumeModules(); + + string name() const { return name_; } + string ToString() const; + + // Serialize the module group to/from a proto. + HloModuleGroupProto ToProto() const; + static StatusOr<HloModuleGroup> CreateFromProto( + const HloModuleGroupProto& proto, + absl::Span<const HloModuleConfig> module_configs); + + private: + string name_; + + // Vector of modules as std::unique_ptrs. + std::vector<std::unique_ptr<HloModule>> modules_; + + // Vector of modules as normal pointers. This vector is kept in sync with + // modules_ as modules are added to the group with push_back. + std::vector<HloModule*> module_ptrs_; +}; + +std::ostream& operator<<(std::ostream& out, const HloModuleGroup& group); + +} // namespace xla + +#endif // TENSORFLOW_COMPILER_XLA_SERVICE_HLO_MODULE_GROUP_H_ |