1e67c90e2c
XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators. XLA is still experimental; we are releasing it early to get the community involved. Change: 143990941
92 lines
3.0 KiB
C++
92 lines
3.0 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/client/padding.h"
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#include "tensorflow/core/platform/test.h"
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namespace xla {
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namespace {
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// Tests MakePadding utility function for various cases.
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class PaddingTest : public ::testing::Test {
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protected:
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// A convenience function to test padding for a single dimension.
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std::pair<int64, int64> ComputePadding(int64 input_dimension,
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int64 window_dimension,
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int64 window_stride, Padding padding) {
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return MakePadding({input_dimension}, {window_dimension}, {window_stride},
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padding)[0];
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}
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};
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TEST_F(PaddingTest, ValidPaddingWithStrideOne) {
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const auto padding = ComputePadding(10, 5, 1, Padding::kValid);
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EXPECT_EQ(padding.first, 0);
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EXPECT_EQ(padding.second, 0);
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}
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TEST_F(PaddingTest, ValidPaddingWithStrideThree) {
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const auto padding = ComputePadding(10, 5, 3, Padding::kValid);
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EXPECT_EQ(padding.first, 0);
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EXPECT_EQ(padding.second, 0);
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}
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TEST_F(PaddingTest, SamePaddingWithOddWindow) {
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const auto padding = ComputePadding(10, 7, 1, Padding::kSame);
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EXPECT_EQ(padding.first, 3);
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EXPECT_EQ(padding.second, 3);
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}
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TEST_F(PaddingTest, SamePaddingWithEvenWindow) {
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const auto padding = ComputePadding(10, 6, 1, Padding::kSame);
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EXPECT_EQ(padding.first, 2);
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EXPECT_EQ(padding.second, 3);
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}
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TEST_F(PaddingTest, SamePaddingWithOddWindowWithStride) {
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const auto padding = ComputePadding(10, 7, 3, Padding::kSame);
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EXPECT_EQ(padding.first, 3);
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EXPECT_EQ(padding.second, 3);
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}
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TEST_F(PaddingTest, SamePaddingWithEvenWindowWithStride) {
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const auto padding = ComputePadding(10, 6, 4, Padding::kSame);
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EXPECT_EQ(padding.first, 2);
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EXPECT_EQ(padding.second, 2);
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}
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TEST_F(PaddingTest, SamePaddingForWindowSizeOne) {
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const auto padding = ComputePadding(10, 1, 1, Padding::kSame);
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EXPECT_EQ(padding.first, 0);
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EXPECT_EQ(padding.second, 0);
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}
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TEST_F(PaddingTest, SamePaddingForWindowLargerThanInput) {
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const auto padding = ComputePadding(10, 20, 1, Padding::kSame);
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EXPECT_EQ(padding.first, 9);
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EXPECT_EQ(padding.second, 10);
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}
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// This used to trigger a case with negative padding.
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TEST_F(PaddingTest, NonNegativePadding) {
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const auto padding = ComputePadding(4, 1, 2, Padding::kSame);
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EXPECT_EQ(padding.first, 0);
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EXPECT_EQ(padding.second, 0);
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}
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} // namespace
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} // namespace xla
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