88 lines
2.6 KiB
C++
88 lines
2.6 KiB
C++
/* Copyright 2020 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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#ifndef TENSORFLOW_LITE_DELEGATES_XNNPACK_PAD_TESTER_H_
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#define TENSORFLOW_LITE_DELEGATES_XNNPACK_PAD_TESTER_H_
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#include <cstdint>
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#include <vector>
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#include <gtest/gtest.h>
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#include "tensorflow/lite/c/common.h"
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namespace tflite {
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namespace xnnpack {
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class PadTester {
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public:
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PadTester() = default;
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PadTester(const PadTester&) = delete;
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PadTester& operator=(const PadTester&) = delete;
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inline PadTester& InputShape(std::initializer_list<int32_t> shape) {
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for (auto it = shape.begin(); it != shape.end(); ++it) {
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EXPECT_GT(*it, 0);
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}
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input_shape_ = std::vector<int32_t>(shape.begin(), shape.end());
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return *this;
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}
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inline const std::vector<int32_t>& InputShape() const { return input_shape_; }
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inline PadTester& InputPrePaddings(std::initializer_list<int32_t> paddings) {
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for (auto it = paddings.begin(); it != paddings.end(); ++it) {
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EXPECT_GE(*it, 0);
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}
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input_pre_paddings_ =
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std::vector<int32_t>(paddings.begin(), paddings.end());
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return *this;
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}
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inline const std::vector<int32_t> InputPrePaddings() const {
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return input_pre_paddings_;
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}
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inline PadTester& InputPostPaddings(std::initializer_list<int32_t> paddings) {
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for (auto it = paddings.begin(); it != paddings.end(); ++it) {
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EXPECT_GE(*it, 0);
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}
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input_post_paddings_ =
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std::vector<int32_t>(paddings.begin(), paddings.end());
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return *this;
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}
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inline const std::vector<int32_t> InputPostPaddings() const {
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return input_post_paddings_;
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}
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std::vector<int32_t> OutputShape() const;
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void Test(TfLiteDelegate* delegate) const;
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private:
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std::vector<char> CreateTfLiteModel() const;
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static int32_t ComputeSize(const std::vector<int32_t>& shape);
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std::vector<int32_t> input_shape_;
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std::vector<int32_t> input_pre_paddings_;
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std::vector<int32_t> input_post_paddings_;
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};
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} // namespace xnnpack
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} // namespace tflite
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#endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_PAD_TESTER_H_
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