1/* Copyright 2018 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#include "tensorflow/core/framework/op.h"
17#include "tensorflow/core/framework/shape_inference.h"
18
19namespace tensorflow {
20
21using tensorflow::shape_inference::InferenceContext;
22using tensorflow::shape_inference::ShapeHandle;
23
24REGISTER_OP("DecodeProtoV2")
25 .Input("bytes: string")
26 .Attr("message_type: string")
27 .Attr("field_names: list(string)")
28 .Attr("output_types: list(type) >= 0")
29 .Attr("descriptor_source: string = 'local://'")
30 .Attr("message_format: string = 'binary'")
31 .Attr("sanitize: bool = false")
32 .Output("sizes: int32")
33 .Output("values: output_types")
34 .SetShapeFn([](InferenceContext* c) {
35 ShapeHandle input = c->input(0);
36
37 std::vector<tensorflow::DataType> output_types;
38 TF_RETURN_IF_ERROR(c->GetAttr("output_types", &output_types));
39
40 ShapeHandle sizes;
41 TF_RETURN_IF_ERROR(
42 c->Concatenate(input, c->Vector(output_types.size()), &sizes));
43 c->set_output(0, sizes);
44
45 // TODO(nix): to do the best possible job of shape inference, we
46 // should examine the proto descriptors here in order to set shape
47 // indices to 1 instead of unknown for optional or required fields.
48 // Any general-purpose code will have to handle the unknown case,
49 // but there might be XLA code that could be sped up with the additional
50 // knowledge.
51 for (int i = 0; i < output_types.size(); ++i) {
52 ShapeHandle values;
53 TF_RETURN_IF_ERROR(
54 c->Concatenate(input, c->Vector(c->UnknownDim()), &values));
55 c->set_output(i + 1, values);
56 }
57
58 return OkStatus();
59 });
60
61// TODO(nix): Consider adding an additional input argument that truncates
62// repeated fields to a maximum count. For now this could be done by passing
63// the output through tf.slice.
64
65// TODO(nix): define missing value behavior.
66
67} // namespace tensorflow
68