1 /* Copyright 2020 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #ifndef TENSORFLOW_LITE_DELEGATES_GPU_GL_KERNELS_QUANTIZE_AND_DEQUANTIZE_H_ 17 #define TENSORFLOW_LITE_DELEGATES_GPU_GL_KERNELS_QUANTIZE_AND_DEQUANTIZE_H_ 18 19 #include <memory> 20 21 #include "tensorflow/lite/delegates/gpu/common/operations.h" 22 #include "tensorflow/lite/delegates/gpu/gl/node_shader.h" 23 24 namespace tflite { 25 namespace gpu { 26 namespace gl { 27 28 // Performs the operation: {Quantize, Dequantize} on floating-point data. 29 // We need this operation to emulate the error introduced by quantization 30 // on the GPU, which cannot represent int8 tensors. 31 // 32 // Implemented as: 33 // qvalue = round((min(qmax, max(qmin, src_val)) - qmin) * (1/qscale)) 34 // dq_value = qvalue * qscale + qmin 35 // Here, qmin, qmax & qscale refer to the quantization values as implemented in 36 // TensorFlow Lite's 'FakeQuant' kernel. 37 // 38 // NOTE: We do not need to nudge min/max values in this op, since they would 39 // already be adjusted while generating the quantized model. 40 std::unique_ptr<NodeShader> NewQuantizeAndDequantizeNodeShader(); 41 42 } // namespace gl 43 } // namespace gpu 44 } // namespace tflite 45 46 #endif // TENSORFLOW_LITE_DELEGATES_GPU_GL_KERNELS_QUANTIZE_AND_DEQUANTIZE_H_ 47