77644192c4
- Add PreluTester class and unit test for XNNPACK-delegated Prelu operator - Relax restrictions on the number of input/output dimensions in delegated Prelu operators PiperOrigin-RevId: 317933686 Change-Id: Ie7bac6c8d6bd358ef8b5d79042d6ae1af07e1c49
70 lines
2.0 KiB
C++
70 lines
2.0 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_LEAKY_RELU_TESTER_H_
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#define TENSORFLOW_LITE_DELEGATES_XNNPACK_LEAKY_RELU_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 LeakyReluTester {
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public:
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LeakyReluTester() = default;
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LeakyReluTester(const LeakyReluTester&) = delete;
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LeakyReluTester& operator=(const LeakyReluTester&) = delete;
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inline LeakyReluTester& Shape(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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shape_ = std::vector<int32_t>(shape.begin(), shape.end());
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size_ = LeakyReluTester::ComputeSize(shape_);
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return *this;
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}
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inline const std::vector<int32_t>& Shape() const { return shape_; }
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inline int32_t Size() const { return size_; }
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inline LeakyReluTester& NegativeSlope(float negative_slope) {
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negative_slope_ = negative_slope;
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return *this;
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}
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inline float NegativeSlope() const { return negative_slope_; }
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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> shape_;
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int32_t size_;
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float negative_slope_ = 0.5f;
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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_LEAKY_RELU_TESTER_H_
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