141 lines
4.1 KiB
C++
141 lines
4.1 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_BINARY_ELEMENTWISE_TESTER_H_
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#define TENSORFLOW_LITE_DELEGATES_XNNPACK_BINARY_ELEMENTWISE_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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#include "tensorflow/lite/schema/schema_generated.h"
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namespace tflite {
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namespace xnnpack {
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class BinaryElementwiseTester {
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public:
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BinaryElementwiseTester() = default;
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BinaryElementwiseTester(const BinaryElementwiseTester&) = delete;
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BinaryElementwiseTester& operator=(const BinaryElementwiseTester&) = delete;
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inline BinaryElementwiseTester& Input1Shape(
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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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input1_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>& Input1Shape() const {
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return input1_shape_;
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}
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inline BinaryElementwiseTester& Input2Shape(
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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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input2_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>& Input2Shape() const {
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return input2_shape_;
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}
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std::vector<int32_t> OutputShape() const;
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inline BinaryElementwiseTester& Input1Static(bool is_static) {
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input1_static_ = is_static;
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return *this;
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}
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inline bool Input1Static() const { return input1_static_; }
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inline BinaryElementwiseTester& Input2Static(bool is_static) {
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input2_static_ = is_static;
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return *this;
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}
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inline bool Input2Static() const { return input2_static_; }
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inline BinaryElementwiseTester& FP16Weights() {
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fp16_weights_ = true;
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return *this;
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}
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inline bool FP16Weights() const { return fp16_weights_; }
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inline BinaryElementwiseTester& SparseWeights() {
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sparse_weights_ = true;
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return *this;
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}
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inline bool SparseWeights() const { return sparse_weights_; }
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inline BinaryElementwiseTester& ReluActivation() {
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activation_ = ::tflite::ActivationFunctionType_RELU;
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return *this;
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}
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inline BinaryElementwiseTester& Relu6Activation() {
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activation_ = ::tflite::ActivationFunctionType_RELU6;
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return *this;
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}
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inline BinaryElementwiseTester& ReluMinus1To1Activation() {
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activation_ = ::tflite::ActivationFunctionType_RELU_N1_TO_1;
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return *this;
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}
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inline BinaryElementwiseTester& TanhActivation() {
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activation_ = ::tflite::ActivationFunctionType_TANH;
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return *this;
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}
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inline BinaryElementwiseTester& SignBitActivation() {
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activation_ = ::tflite::ActivationFunctionType_SIGN_BIT;
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return *this;
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}
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void Test(tflite::BuiltinOperator binary_op, TfLiteDelegate* delegate) const;
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private:
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std::vector<char> CreateTfLiteModel(tflite::BuiltinOperator binary_op) const;
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inline ::tflite::ActivationFunctionType Activation() const {
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return activation_;
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}
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static int32_t ComputeSize(const std::vector<int32_t>& shape);
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std::vector<int32_t> input1_shape_;
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std::vector<int32_t> input2_shape_;
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bool input1_static_ = false;
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bool input2_static_ = false;
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bool fp16_weights_ = false;
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bool sparse_weights_ = false;
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::tflite::ActivationFunctionType activation_ =
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::tflite::ActivationFunctionType_NONE;
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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_BINARY_ELEMENTWISE_TESTER_H_
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