69 lines
2.2 KiB
C++
69 lines
2.2 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_CLIENT_XLA_COMPUTATION_H_
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#define TENSORFLOW_COMPILER_XLA_CLIENT_XLA_COMPUTATION_H_
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#include <utility>
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#include "tensorflow/compiler/xla/service/hlo.pb.h"
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#include "tensorflow/compiler/xla/shape.h"
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#include "tensorflow/compiler/xla/status_macros.h"
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#include "tensorflow/compiler/xla/xla_data.pb.h"
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namespace xla {
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// The computation graph that the user builds up with the XlaBuilder.
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class XlaComputation {
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public:
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XlaComputation() : unique_id_(-1) {}
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XlaComputation(HloModuleProto proto)
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: unique_id_(proto.id()), proto_(std::move(proto)) {}
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~XlaComputation() {}
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XlaComputation(const XlaComputation&) = delete;
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XlaComputation& operator=(const XlaComputation&) = delete;
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XlaComputation(XlaComputation&& from) = default;
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XlaComputation& operator=(XlaComputation&& from) = default;
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// Returns the "program shape" (parameter and return shapes) for this
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// computation.
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StatusOr<ProgramShape> GetProgramShape() const;
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const HloModuleProto& proto() const { return proto_; }
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// Requests that we snapshot the computation into a serializable protocol
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// buffer form.
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StatusOr<std::unique_ptr<HloSnapshot>> Snapshot() const;
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// Returns true if this object is a null Computation.
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bool IsNull() const { return unique_id_ == -1; }
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private:
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XlaComputation(const int64 unique_id) : unique_id_(unique_id) {}
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HloModuleProto* mutable_proto() { return &proto_; }
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friend class XlaBuilder;
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int64 unique_id_;
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HloModuleProto proto_;
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_CLIENT_XLA_COMPUTATION_H_
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