63 lines
1.9 KiB
C++
63 lines
1.9 KiB
C++
/* Copyright 2017 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 "tensorflow/compiler/xla/iterator_util.h"
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#include <algorithm>
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#include <list>
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#include "absl/memory/memory.h"
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#include "tensorflow/compiler/xla/test.h"
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namespace xla {
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namespace {
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TEST(UnwrappingIteratorTest, Simple) {
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std::vector<std::unique_ptr<int>> v;
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for (int i = 0; i < 3; ++i) {
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v.push_back(absl::make_unique<int>(i));
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}
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int i = 0;
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for (auto iter = MakeUnwrappingIterator(v.begin());
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iter != MakeUnwrappingIterator(v.end()); ++iter) {
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EXPECT_EQ(*iter, v[i].get());
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++i;
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}
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}
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TEST(UnwrappingIteratorTest, PostincrementOperator) {
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std::vector<std::shared_ptr<int>> v;
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for (int i = 0; i < 3; ++i) {
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v.push_back(std::make_shared<int>(i));
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}
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auto iter = MakeUnwrappingIterator(v.begin());
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EXPECT_EQ(*(iter++), v[0].get());
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EXPECT_EQ(*iter, v[1].get());
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}
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// std::find relies on various iterator traits being properly defined.
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TEST(UnwrappingIteratorTest, StdFind) {
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std::list<std::unique_ptr<int>> l;
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for (int i = 0; i < 3; ++i) {
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l.push_back(absl::make_unique<int>(i));
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}
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EXPECT_EQ(l.begin()->get(),
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*std::find(MakeUnwrappingIterator(l.begin()),
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MakeUnwrappingIterator(l.end()), l.begin()->get()));
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}
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} // namespace
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} // namespace xla
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