f22eec10b6
Rename the protobuf message ProgramShape to ProgramShapeProto and create a new ProgramShape C++ class with an interface which mirrors the protobuf generated code interface. This CL is a step toward replacing Shape proto with a C++ class. ProgramShape needs to be migrated first because ProgramShape contains Shapes. PiperOrigin-RevId: 222435461
41 lines
1.3 KiB
C++
41 lines
1.3 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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#include "tensorflow/compiler/xla/client/xla_computation.h"
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#include <utility>
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#include "absl/memory/memory.h"
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#include "tensorflow/compiler/xla/status_macros.h"
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#include "tensorflow/compiler/xla/util.h"
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namespace xla {
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StatusOr<ProgramShape> XlaComputation::GetProgramShape() const {
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TF_RET_CHECK(proto_.has_host_program_shape());
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return ProgramShape(proto_.host_program_shape());
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}
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StatusOr<std::unique_ptr<HloSnapshot>> XlaComputation::Snapshot() const {
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if (IsNull()) {
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return InvalidArgument("Computation is invalid.");
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}
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auto session = absl::make_unique<HloSnapshot>();
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*session->mutable_hlo()->mutable_hlo_module() = proto_;
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return std::move(session);
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}
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} // namespace xla
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