1 /* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
2
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15
16 #include "tensorflow/core/framework/variant_tensor_data.h"
17 #include "tensorflow/core/framework/tensor.h"
18 #include "tensorflow/core/framework/tensor.pb.h"
19 #include "tensorflow/core/lib/strings/strcat.h"
20
21 namespace tensorflow {
22
VariantTensorData(VariantTensorDataProto proto)23 VariantTensorData::VariantTensorData(VariantTensorDataProto proto) {
24 FromProto(std::move(proto));
25 }
26
tensors_size() const27 int VariantTensorData::tensors_size() const { return tensors_.size(); }
28
tensors(int index) const29 const Tensor& VariantTensorData::tensors(int index) const {
30 return tensors_[index];
31 }
32
tensors() const33 const std::vector<Tensor>& VariantTensorData::tensors() const {
34 return tensors_;
35 }
36
add_tensors()37 Tensor* VariantTensorData::add_tensors() {
38 tensors_.emplace_back();
39 return &(tensors_[tensors_.size() - 1]);
40 }
41
ToProto(VariantTensorDataProto * proto) const42 void VariantTensorData::ToProto(VariantTensorDataProto* proto) const {
43 proto->set_type_name(type_name());
44 proto->set_metadata(metadata_);
45 proto->clear_tensors();
46 for (const auto& tensor : tensors_) {
47 tensor.AsProtoField(proto->mutable_tensors()->Add());
48 }
49 }
50
FromProto(VariantTensorDataProto proto)51 bool VariantTensorData::FromProto(VariantTensorDataProto proto) {
52 // TODO(ebrevdo): Do this lazily.
53 set_type_name(proto.type_name());
54 set_metadata(proto.metadata());
55 for (const auto& tensor : proto.tensors()) {
56 Tensor tmp;
57 if (!tmp.FromProto(tensor)) return false;
58 tensors_.push_back(tmp);
59 }
60 return true;
61 }
62
FromConstProto(const VariantTensorDataProto & proto)63 bool VariantTensorData::FromConstProto(const VariantTensorDataProto& proto) {
64 set_type_name(proto.type_name());
65 set_metadata(proto.metadata());
66 for (const auto& tensor : proto.tensors()) {
67 Tensor tmp;
68 if (!tmp.FromProto(tensor)) return false;
69 tensors_.push_back(tmp);
70 }
71 return true;
72 }
73
SerializeAsString() const74 string VariantTensorData::SerializeAsString() const {
75 VariantTensorDataProto proto;
76 ToProto(&proto);
77 return proto.SerializeAsString();
78 }
79
SerializeToString(string * buf)80 bool VariantTensorData::SerializeToString(string* buf) {
81 VariantTensorDataProto proto;
82 ToProto(&proto);
83 return proto.SerializeToString(buf);
84 }
85
ParseFromString(string s)86 bool VariantTensorData::ParseFromString(string s) {
87 VariantTensorDataProto proto;
88 const bool status = proto.ParseFromString(s);
89 if (status) FromProto(std::move(proto));
90 return status;
91 }
92
DebugString() const93 string VariantTensorData::DebugString() const {
94 string repeated_field = "";
95 for (const auto& t : tensors_) {
96 repeated_field =
97 strings::StrCat(repeated_field, " tensors: ", t.DebugString());
98 }
99 return strings::StrCat("type_name: ", type_name(), " metadata: ", metadata_,
100 repeated_field);
101 }
102
ProtoDebugString(const VariantTensorData & object)103 string ProtoDebugString(const VariantTensorData& object) {
104 return object.DebugString();
105 }
106
107 } // namespace tensorflow
108