/* Copyright 2020 The TensorFlow Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_LITE_DELEGATES_XNNPACK_SOFTMAX_TESTER_H_ #define TENSORFLOW_LITE_DELEGATES_XNNPACK_SOFTMAX_TESTER_H_ #include #include #include #include "tensorflow/lite/core/c/common.h" #include "tensorflow/lite/schema/schema_generated.h" namespace tflite { namespace xnnpack { class SoftmaxTester { public: SoftmaxTester() = default; SoftmaxTester(const SoftmaxTester&) = delete; SoftmaxTester& operator=(const SoftmaxTester&) = delete; inline SoftmaxTester& Shape(std::initializer_list shape) { EXPECT_GT(shape.size(), 0); for (auto it = shape.begin(); it != shape.end(); ++it) { EXPECT_GT(*it, 0); } shape_ = std::vector(shape.begin(), shape.end()); size_ = SoftmaxTester::ComputeSize(shape_); return *this; } const std::vector& Shape() const { return shape_; } int32_t Size() const { return size_; } inline SoftmaxTester& Beta(float beta) { beta_ = beta; return *this; } float Beta() const { return beta_; } void Test(TfLiteDelegate* delegate) const; private: std::vector CreateTfLiteModel() const; static int32_t ComputeSize(const std::vector& shape); std::vector shape_; int32_t size_; float beta_ = 1.0f; }; } // namespace xnnpack } // namespace tflite #endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_SOFTMAX_TESTER_H_