wehub-resource-sync
107 lines
3.3 KiB
C++
107 lines
3.3 KiB
C++
/* Copyright 2022 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 <algorithm>
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#include <cstdint>
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#include <memory>
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#include <vector>
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#include <gtest/gtest.h>
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#include "tensorflow/lite/delegates/xnnpack/transpose_tester.h"
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#include "tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h"
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namespace tflite {
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namespace xnnpack {
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TEST(Transpose, 1D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::vector<int32_t> perm{0};
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// clang-format off
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TransposeTester()
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.num_dims(1)
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.input_shape({37})
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.perm(perm)
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.Test(TensorType_FLOAT32, xnnpack_delegate.get());
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// clang-format on
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}
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TEST(Transpose, 2D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::vector<int32_t> perm{0, 1};
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do {
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// clang-format off
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TransposeTester()
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.num_dims(2)
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.input_shape({37, 113})
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.perm(perm)
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.Test(TensorType_FLOAT32, xnnpack_delegate.get());
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// clang-format on
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} while (std::next_permutation(perm.begin(), perm.end()));
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}
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TEST(Transpose, 3D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::vector<int32_t> perm{0, 1, 2};
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do {
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TransposeTester()
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.num_dims(3)
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.input_shape({5, 7, 11})
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.perm(perm)
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.Test(TensorType_FLOAT32, xnnpack_delegate.get());
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} while (std::next_permutation(perm.begin(), perm.end()));
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}
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TEST(Transpose, 4D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::vector<int32_t> perm{0, 1, 2, 3};
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do {
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TransposeTester()
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.num_dims(4)
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.input_shape({5, 7, 11, 13})
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.perm(perm)
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.Test(TensorType_FLOAT32, xnnpack_delegate.get());
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} while (std::next_permutation(perm.begin(), perm.end()));
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}
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TEST(Transpose, 5D) {
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std::unique_ptr<TfLiteDelegate, decltype(&TfLiteXNNPackDelegateDelete)>
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xnnpack_delegate(TfLiteXNNPackDelegateCreate(nullptr),
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TfLiteXNNPackDelegateDelete);
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std::vector<int32_t> perm{0, 1, 2, 3, 4};
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do {
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TransposeTester()
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.num_dims(5)
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.input_shape({3, 5, 7, 11, 13})
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.perm(perm)
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.Test(TensorType_FLOAT32, xnnpack_delegate.get());
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} while (std::next_permutation(perm.begin(), perm.end()));
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}
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} // namespace xnnpack
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} // namespace tflite
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