wehub-resource-sync
114 lines
3.4 KiB
C++
114 lines
3.4 KiB
C++
/* Copyright 2021 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_QUANTIZE_TESTER_H_
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#define TENSORFLOW_LITE_DELEGATES_XNNPACK_QUANTIZE_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 QuantizeTester {
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public:
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QuantizeTester() = default;
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QuantizeTester(const QuantizeTester&) = delete;
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QuantizeTester& operator=(const QuantizeTester&) = delete;
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inline QuantizeTester& 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_ = QuantizeTester::ComputeSize(shape_);
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return *this;
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}
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const std::vector<int32_t>& Shape() const { return shape_; }
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int32_t Size() const { return size_; }
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inline QuantizeTester& InputZeroPoint(int32_t input_zero_point) {
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input_zero_point_ = input_zero_point;
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return *this;
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}
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inline int32_t InputZeroPoint() const { return input_zero_point_; }
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inline QuantizeTester& InputScale(float input_scale) {
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input_scale_ = input_scale;
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return *this;
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}
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inline float InputScale() const { return input_scale_; }
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inline QuantizeTester& OutputZeroPoint(int32_t output_zero_point) {
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output_zero_point_ = output_zero_point;
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return *this;
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}
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inline int32_t OutputZeroPoint() const { return output_zero_point_; }
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inline QuantizeTester& OutputScale(float output_scale) {
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output_scale_ = output_scale;
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return *this;
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}
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inline float OutputScale() const { return output_scale_; }
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inline QuantizeTester& Unsigned(bool is_unsigned) {
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unsigned_ = is_unsigned;
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return *this;
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}
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inline bool Unsigned() const { return unsigned_; }
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template <class T>
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void PopulateInput(Interpreter* delegate_interpreter,
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Interpreter* default_interpreter) const;
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template <class T>
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void InvokeAndCheckOutput(Interpreter* delegate_interpreter,
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Interpreter* default_interpreter) const;
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void Test(TensorType input_type, TensorType output_type,
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TfLiteDelegate* delegate) const;
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private:
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std::vector<char> CreateTfLiteModel(TensorType input_type,
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TensorType output_type) 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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int32_t input_zero_point_ = 0;
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float input_scale_ = 1.0f;
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int32_t output_zero_point_ = 0;
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float output_scale_ = 1.0f;
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bool unsigned_ = false;
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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_QUANTIZE_TESTER_H_
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