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/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/core/api_def/update_api_def.h"
#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/lib/io/path.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/test.h"
namespace tensorflow {
namespace {
TEST(UpdateApiDefTest, TestRemoveDocSingleOp) {
const string op_def_text = R"opdef(
REGISTER_OP("Op1")
.Input("a: T")
.Output("output: T")
.Attr("b: type")
.SetShapeFn(shape_inference::UnchangedShape);
)opdef";
const string op_def_text_with_doc = R"opdef(
REGISTER_OP("Op1")
.Input("a: T")
.Output("output: T")
.Attr("b: type")
.SetShapeFn(shape_inference::UnchangedShape)
.Doc(R"doc(
Summary for Op1.
Description
for Op1.
b : Description for b.
a: Description for a.
output: Description for output.
)doc");
)opdef";
const string op_text = R"(
name: "Op1"
input_arg {
name: "a"
description: "Description for a."
}
output_arg {
name: "output"
description: "Description for output."
}
attr {
name: "b"
description: "Description for b."
}
summary: "Summary for Op1."
description: "Description\nfor Op1."
)";
OpDef op;
protobuf::TextFormat::ParseFromString(op_text, &op); // NOLINT
EXPECT_EQ(op_def_text,
RemoveDoc(op, op_def_text_with_doc, 0 /* start_location */));
}
TEST(UpdateApiDefTest, TestRemoveDocMultipleOps) {
const string op_def_text = R"opdef(
REGISTER_OP("Op1")
.Input("a: T")
.SetShapeFn(shape_inference::UnchangedShape);
REGISTER_OP("Op2")
.Input("a: T")
.SetShapeFn(shape_inference::UnchangedShape);
REGISTER_OP("Op3")
.Input("c: T")
.SetShapeFn(shape_inference::UnchangedShape);
)opdef";
const string op_def_text_with_doc = R"opdef(
REGISTER_OP("Op1")
.Input("a: T")
.Doc(R"doc(
Summary for Op1.
)doc")
.SetShapeFn(shape_inference::UnchangedShape);
REGISTER_OP("Op2")
.Input("a: T")
.SetShapeFn(shape_inference::UnchangedShape)
.Doc(R"doc(
Summary for Op2.
)doc");
REGISTER_OP("Op3")
.Input("c: T")
.SetShapeFn(shape_inference::UnchangedShape)
.Doc(R"doc(
Summary for Op3.
)doc");
)opdef";
const string op1_text = R"(
name: "Op1"
input_arg {
name: "a"
}
summary: "Summary for Op1."
)";
const string op2_text = R"(
name: "Op2"
input_arg {
name: "a"
}
summary: "Summary for Op2."
)";
const string op3_text = R"(
name: "Op3"
input_arg {
name: "c"
}
summary: "Summary for Op3."
)";
OpDef op1, op2, op3;
protobuf::TextFormat::ParseFromString(op1_text, &op1); // NOLINT
protobuf::TextFormat::ParseFromString(op2_text, &op2); // NOLINT
protobuf::TextFormat::ParseFromString(op3_text, &op3); // NOLINT
string updated_text =
RemoveDoc(op2, op_def_text_with_doc,
op_def_text_with_doc.find("Op2") /* start_location */);
EXPECT_EQ(string::npos, updated_text.find("Summary for Op2"));
EXPECT_NE(string::npos, updated_text.find("Summary for Op1"));
EXPECT_NE(string::npos, updated_text.find("Summary for Op3"));
updated_text = RemoveDoc(op3, updated_text,
updated_text.find("Op3") /* start_location */);
updated_text = RemoveDoc(op1, updated_text,
updated_text.find("Op1") /* start_location */);
EXPECT_EQ(op_def_text, updated_text);
}
TEST(UpdateApiDefTest, TestCreateApiDef) {
const string op_text = R"(
name: "Op1"
input_arg {
name: "a"
description: "Description for a."
}
output_arg {
name: "output"
description: "Description for output."
}
attr {
name: "b"
description: "Description for b."
}
summary: "Summary for Op1."
description: "Description\nfor Op1."
)";
OpDef op;
protobuf::TextFormat::ParseFromString(op_text, &op); // NOLINT
const string expected_api_def = R"(op {
graph_op_name: "Op1"
in_arg {
name: "a"
description: <<END
Description for a.
END
}
out_arg {
name: "output"
description: <<END
Description for output.
END
}
attr {
name: "b"
description: <<END
Description for b.
END
}
summary: "Summary for Op1."
description: <<END
Description
for Op1.
END
}
)";
EXPECT_EQ(expected_api_def, CreateApiDef(op));
}
} // namespace
} // namespace tensorflow
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