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#include "tensorflow/core/framework/common_shape_fns.h"
17#include "tensorflow/core/framework/dataset_stateful_op_allowlist.h"
18#include "tensorflow/core/framework/op.h"
19#include "tensorflow/core/framework/shape_inference.h"
20
21namespace tensorflow {
22
23using shape_inference::InferenceContext;
24
25REGISTER_OP("Assert")
26 .Input("condition: bool")
27 .Input("data: T")
28 .SetIsStateful()
29 .Attr("T: list(type)")
30 .Attr("summarize: int = 3")
31 .SetShapeFn(shape_inference::NoOutputs);
32
33ALLOW_STATEFUL_OP_FOR_DATASET_FUNCTIONS("Assert");
34
35REGISTER_OP("Print")
36 .Input("input: T")
37 .Input("data: U")
38 .Output("output: T")
39 .SetIsStateful()
40 .Attr("T: type")
41 .Attr("U: list(type) >= 0")
42 .Attr("message: string = ''")
43 .Attr("first_n: int = -1")
44 .Attr("summarize: int = 3")
45 .SetShapeFn(shape_inference::UnchangedShape);
46
47ALLOW_STATEFUL_OP_FOR_DATASET_FUNCTIONS("Print");
48
49REGISTER_OP("PrintV2")
50 .Input("input: string")
51 .SetIsStateful()
52 .Attr("output_stream: string = 'stderr'")
53 .Attr("end: string = '\n'")
54 .SetShapeFn([](InferenceContext* c) {
55 // Early exit if rank is unknown.
56 if (!c->RankKnown(c->input(0))) return OkStatus();
57 // Make sure that the input is a scalar.
58 if (c->Rank(c->input(0)) != 0) {
59 return errors::InvalidArgument("input must be a scalar, but has rank: ",
60 c->Rank(c->input(0)));
61 }
62 return OkStatus();
63 });
64
65ALLOW_STATEFUL_OP_FOR_DATASET_FUNCTIONS("PrintV2");
66
67// ----------------------------------------------------------------------------
68// Operators that deal with SummaryProtos (encoded as DT_STRING tensors) as
69// inputs or outputs in various ways.
70
71REGISTER_OP("TensorSummaryV2")
72 .Input("tag: string")
73 .Input("tensor: T")
74 // This serialized summary metadata field describes a summary value,
75 // specifically which plugins may use that summary.
76 .Input("serialized_summary_metadata: string")
77 .Output("summary: string")
78 .Attr("T: type")
79 .SetShapeFn(shape_inference::ScalarShape);
80
81REGISTER_OP("TensorSummary")
82 .Input("tensor: T")
83 .Output("summary: string")
84 .Attr("T: type")
85 .Attr("description: string = ''")
86 .Attr("labels: list(string) = []")
87 .Attr("display_name: string = ''")
88 .SetShapeFn(shape_inference::ScalarShape);
89
90REGISTER_OP("ImageSummary")
91 .Input("tag: string")
92 .Input("tensor: T")
93 .Output("summary: string")
94 .Attr("max_images: int >= 1 = 3")
95 .Attr("T: {uint8, float, half, float64} = DT_FLOAT")
96 .Attr(
97 "bad_color: tensor = { dtype: DT_UINT8 "
98 "tensor_shape: { dim { size: 4 } } "
99 "int_val: 255 int_val: 0 int_val: 0 int_val: 255 }")
100 .SetShapeFn(shape_inference::ScalarShape);
101
102REGISTER_OP("AudioSummaryV2")
103 .Input("tag: string")
104 .Input("tensor: float")
105 .Input("sample_rate: float")
106 .Output("summary: string")
107 .Attr("max_outputs: int >= 1 = 3")
108 .SetShapeFn(shape_inference::ScalarShape);
109
110REGISTER_OP("AudioSummary")
111 .Input("tag: string")
112 .Input("tensor: float")
113 .Output("summary: string")
114 .Attr("sample_rate: float")
115 .Attr("max_outputs: int >= 1 = 3")
116 .SetShapeFn(shape_inference::ScalarShape)
117 .Deprecated(15, "Use AudioSummaryV2.");
118
119REGISTER_OP("Timestamp")
120 .Output("ts: float64")
121 .SetIsStateful()
122 .SetShapeFn(shape_inference::ScalarShape);
123
124ALLOW_STATEFUL_OP_FOR_DATASET_FUNCTIONS("Timestamp");
125
126} // end namespace tensorflow
127