| /* Copyright 2019 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_GPU_CL_KERNELS_SOFTMAX_H_ |
| #define TENSORFLOW_LITE_DELEGATES_GPU_CL_KERNELS_SOFTMAX_H_ |
| |
| #include "tensorflow/lite/delegates/gpu/cl/cl_kernel.h" |
| #include "tensorflow/lite/delegates/gpu/cl/kernels/gpu_operation.h" |
| #include "tensorflow/lite/delegates/gpu/cl/precision.h" |
| #include "tensorflow/lite/delegates/gpu/cl/tensor.h" |
| #include "tensorflow/lite/delegates/gpu/common/types.h" |
| |
| namespace tflite { |
| namespace gpu { |
| namespace cl { |
| |
| class Softmax : public GPUOperation { |
| public: |
| Softmax() = default; |
| explicit Softmax(const OperationDef& definition) : GPUOperation(definition) {} |
| |
| absl::Status BindArguments() override; |
| int3 GetGridSize() const override; |
| absl::Status Compile(const CreationContext& creation_context) override; |
| |
| // Move only |
| Softmax(Softmax&& kernel); |
| Softmax& operator=(Softmax&& kernel); |
| Softmax(const Softmax&) = delete; |
| Softmax& operator=(const Softmax&) = delete; |
| |
| friend Softmax CreateSoftmax(); |
| }; |
| |
| Softmax CreateSoftmax(const OperationDef& definition); |
| |
| } // namespace cl |
| } // namespace gpu |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_DELEGATES_GPU_CL_KERNELS_SOFTMAX_H_ |