/* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <memory>
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#include "tensorflow/core/framework/op.h"
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#include "tensorflow/core/lib/core/status_test_util.h"
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#include "tensorflow/core/platform/test.h"
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namespace tensorflow {
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namespace {
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void Register(const string& op_name, OpRegistry* registry) {
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registry->Register([op_name](OpRegistrationData* op_reg_data) -> Status {
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op_reg_data->op_def.set_name(op_name);
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return Status::OK();
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});
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}
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} // namespace
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TEST(OpRegistrationTest, TestBasic) {
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std::unique_ptr<OpRegistry> registry(new OpRegistry);
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Register("Foo", registry.get());
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OpList op_list;
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registry->Export(true, &op_list);
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EXPECT_EQ(op_list.op().size(), 1);
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EXPECT_EQ(op_list.op(0).name(), "Foo");
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}
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TEST(OpRegistrationTest, TestDuplicate) {
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std::unique_ptr<OpRegistry> registry(new OpRegistry);
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Register("Foo", registry.get());
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Status s = registry->ProcessRegistrations();
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EXPECT_TRUE(s.ok());
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TF_EXPECT_OK(
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registry->SetWatcher([](const Status& s, const OpDef& op_def) -> Status {
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EXPECT_TRUE(errors::IsAlreadyExists(s));
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return Status::OK();
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}));
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Register("Foo", registry.get());
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s = registry->ProcessRegistrations();
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EXPECT_TRUE(s.ok());
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}
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} // namespace tensorflow
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