bd737c846c
No functional change. Rename the proto message Shape to ShapeProto and define an in-place replacement C++ class named Shape with an interface which mirrors the protobuf generated code interface. Having Shape as a C++ class enables greater flexibility in the interface, enables enforcement of invariants, and potential performance improvements. PiperOrigin-RevId: 223252977
57 lines
2.2 KiB
C++
57 lines
2.2 KiB
C++
/* Copyright 2017 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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// Utilities to manipulate data in hlo.proto.
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#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_HLO_PROTO_UTIL_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_HLO_PROTO_UTIL_H_
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#include <string>
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#include "tensorflow/compiler/xla/service/buffer_assignment.h"
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#include "tensorflow/compiler/xla/service/hlo.pb.h"
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#include "tensorflow/compiler/xla/service/hlo_module.h"
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#include "tensorflow/compiler/xla/status.h"
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namespace xla {
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// Returns a serialized representation of the HLO state.
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HloProto MakeHloProto(const HloModule& module,
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const BufferAssignment& assignment);
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// Returns a serialized representation of the HLO state, but buffer assignment
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// will not be included in the output.
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HloProto MakeHloProto(const HloModule& module);
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// Create an HLO state from serialized representation. In addition to
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// creating the proto with HloModule::CreateFromProto(...) it also
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// uses HloVerifier to ensure basic invariants are held.
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StatusOr<std::unique_ptr<HloModule>> CreateModuleFromProto(
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const HloModuleProto& proto, const HloModuleConfig& module_config);
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// Returns the shapes of the parameters of the entry computation. Shape pointers
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// refer to shapes inside of the given HloProto.
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StatusOr<std::vector<const ShapeProto*>> EntryComputationParameterShapes(
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const HloProto& hlo_proto);
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// Returns the shape of the output of the entry computation. The shape pointer
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// refers to the output shape inside of the given HloProto.
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StatusOr<const ShapeProto*> EntryComputationOutputShape(
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const HloProto& hlo_proto);
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_HLO_PROTO_UTIL_H_
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