wehub-resource-sync
78 lines
2.3 KiB
C++
78 lines
2.3 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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#ifndef TENSORFLOW_LITE_DELEGATES_XNNPACK_TRANSPOSE_TESTER_H_
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#define TENSORFLOW_LITE_DELEGATES_XNNPACK_TRANSPOSE_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/core/c/common.h"
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#include "tensorflow/lite/interpreter.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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namespace tflite {
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namespace xnnpack {
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class TransposeTester {
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public:
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TransposeTester() = default;
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TransposeTester(const TransposeTester&) = delete;
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TransposeTester& operator=(const TransposeTester&) = delete;
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inline TransposeTester& num_dims(int32_t num_dims) {
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assert(num_dims != 0);
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this->num_dims_ = num_dims;
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return *this;
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}
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inline int32_t num_dims() const { return this->num_dims_; }
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inline TransposeTester& input_shape(std::vector<int32_t> input_shape) {
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this->input_shape_ = input_shape;
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return *this;
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}
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inline const std::vector<int32_t>& input_shape() const {
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return this->input_shape_;
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}
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inline TransposeTester& perm(std::vector<int32_t> perm) {
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this->perm_ = perm;
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return *this;
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}
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inline const std::vector<int32_t>& perm() const { return this->perm_; }
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template <class T>
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void Test(TensorType tensor_type, Interpreter* delegate_interpreter,
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Interpreter* default_interpreter) const;
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void Test(TensorType tensor_type, TfLiteDelegate* delegate) const;
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private:
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std::vector<char> CreateTfLiteModel(TensorType tensor_type) const;
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int32_t num_dims_ = 1;
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std::vector<int32_t> input_shape_;
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std::vector<int32_t> perm_;
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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_TRANSPOSE_TESTER_H_
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