1 /* 2 * Copyright (c) 2020-2021 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_CL_GEMMLOWP_QUANTIZEDOWN_INT32_SCALE_BY_FIXEDPOINT_KERNEL_H 25 #define ARM_COMPUTE_CL_GEMMLOWP_QUANTIZEDOWN_INT32_SCALE_BY_FIXEDPOINT_KERNEL_H 26 27 #include "src/core/common/Macros.h" 28 #include "src/gpu/cl/ClCompileContext.h" 29 #include "src/gpu/cl/IClKernel.h" 30 31 namespace arm_compute 32 { 33 namespace opencl 34 { 35 namespace kernels 36 { 37 /** OpenCL kernel used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8/QASYMM8_SIGNED/QSYMM16 38 * 39 * This kernel takes a final int32 accumulator value (the output of the matrix multiplication), and processes it to obtain the final quantized value. 40 * The following computations will be performed by the kernel: 41 * 42 * -# Compute fixed point multiplication between each entry of input by gemmlowp_multiplier 43 * -# Add bias to final result if bias tensor is not a nullptr 44 * -# Round to nearest division by a power-of-two using result_shift 45 * -# Add offset to each result 46 * -# Clamp the value between the specified min and max bounds 47 * -# Clamp the resulting int32 values to the proper quantized range and cast to QASYMM8/QASYMM8_SIGNED/QSYMM16. 48 */ 49 class ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel : public IClKernel 50 { 51 public: 52 ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel(); 53 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel); 54 /** Initialise the kernel's source and destination. 55 * 56 * @param[in] compile_context The compile context to be used. 57 * @param[in] src Source tensor. Data type supported: S32 58 * @param[in] bias Biases tensor. Only shared biases supported and it can be a nullptr if the biases addition is not required. 59 * Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p src. 60 * @param[out] dst Destination tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM16. 61 * @param[in] info Output stage info. Used to pass the quantized output data type 62 */ 63 void configure(const CLCompileContext &compile_context, const ITensorInfo *src, const ITensorInfo *bias, ITensorInfo *dst, const GEMMLowpOutputStageInfo *info); 64 /** Static function to check if given info will lead to a valid configuration 65 * 66 * Similar to @ref ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel::configure() 67 * 68 * @return a status 69 */ 70 static Status validate(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst, const GEMMLowpOutputStageInfo *info); 71 72 // Inherited methods overridden: 73 void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override; 74 }; 75 } // namespace kernels 76 } // namespace opencl 77 } // namespace arm_compute 78 #endif /* ARM_COMPUTE_CL_GEMMLOWP_QUANTIZEDOWN_INT32_SCALE_BY_FIXEDPOINT_KERNEL_H */ 79