1/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15
16// See docs in ../ops/parsing_ops.cc.
17
18#include "tensorflow/core/framework/op_kernel.h"
19#include "tensorflow/core/framework/register_types.h"
20#include "tensorflow/core/framework/tensor.h"
21#include "tensorflow/core/framework/tensor.pb.h"
22#include "tensorflow/core/framework/tensor_shape.h"
23#include "tensorflow/core/framework/types.h"
24#include "tensorflow/core/lib/core/errors.h"
25
26namespace tensorflow {
27
28class ParseTensorOp : public OpKernel {
29 public:
30 explicit ParseTensorOp(OpKernelConstruction* context) : OpKernel(context) {
31 OP_REQUIRES_OK(context, context->GetAttr("out_type", &out_type_));
32 }
33
34 void Compute(OpKernelContext* ctx) override {
35 const Tensor& serialized = ctx->input(0);
36
37 OP_REQUIRES(ctx, TensorShapeUtils::IsScalar(serialized.shape()),
38 errors::InvalidArgument(
39 "Expected `serialized` to be a scalar, got shape: ",
40 serialized.shape().DebugString()));
41
42 auto serialized_t = serialized.scalar<tstring>();
43
44 TensorProto proto;
45 OP_REQUIRES(ctx, ParseProtoUnlimited(&proto, serialized_t()),
46 errors::InvalidArgument(
47 "Could not parse `serialized` as TensorProto: '",
48 serialized_t(), "'"));
49
50 Tensor output;
51 OP_REQUIRES_OK(ctx, ctx->device()->MakeTensorFromProto(
52 proto, ctx->output_alloc_attr(0), &output));
53
54 OP_REQUIRES(
55 ctx, out_type_ == output.dtype(),
56 errors::InvalidArgument("Type mismatch between parsed tensor (",
57 DataTypeString(output.dtype()), ") and dtype (",
58 DataTypeString(out_type_), ")"));
59
60 ctx->set_output(0, output);
61 }
62
63 private:
64 DataType out_type_;
65};
66
67REGISTER_KERNEL_BUILDER(Name("ParseTensor").Device(DEVICE_CPU), ParseTensorOp);
68
69template <typename T>
70class SerializeTensorOp : public OpKernel {
71 public:
72 using OpKernel::OpKernel;
73
74 void Compute(OpKernelContext* context) override {
75 const Tensor& tensor = context->input(0);
76 TensorProto proto;
77 if (tensor.dtype() == DT_STRING) {
78 tensor.AsProtoField(&proto);
79 } else {
80 tensor.AsProtoTensorContent(&proto);
81 }
82 Tensor* proto_string = nullptr;
83 OP_REQUIRES_OK(context,
84 context->allocate_output(0, TensorShape({}), &proto_string));
85 CHECK(SerializeToTString(proto, &proto_string->scalar<tstring>()()));
86 }
87};
88
89#define REGISTER(T) \
90 REGISTER_KERNEL_BUILDER( \
91 Name("SerializeTensor").Device(DEVICE_CPU).TypeConstraint<T>("T"), \
92 SerializeTensorOp<T>);
93TF_CALL_ALL_TYPES(REGISTER)
94#undef REGISTER
95
96} // namespace tensorflow
97