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Diffstat (limited to 'libs/ARMComputeEx/src/core/CL/cl_kernels/arithmetic_op_quantized.cl')
| -rw-r--r-- | libs/ARMComputeEx/src/core/CL/cl_kernels/arithmetic_op_quantized.cl | 126 |
1 files changed, 0 insertions, 126 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/arithmetic_op_quantized.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/arithmetic_op_quantized.cl deleted file mode 100644 index 5cd0a4309..000000000 --- a/libs/ARMComputeEx/src/core/CL/cl_kernels/arithmetic_op_quantized.cl +++ /dev/null @@ -1,126 +0,0 @@ -/* - * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved - * Copyright (c) 2016, 2017 ARM Limited. - * - * 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. - */ -#include "helpers_asymm.h" - -#ifdef SATURATE -#define ADD(x, y) add_sat((x), (y)) -#define SUB(x, y) sub_sat((x), (y)) -#else /* SATURATE */ -#define ADD(x, y) (x) + (y) -#define SUB(x, y) (x) - (y) -#endif /* SATURATE */ - -/** Performs a pixelwise addition used to quantize down the int32 accumulator values of GEMMLowp to QASYMM8 - * - * The following computations will be performed: - * - * -# Add offset terms to inputs - -# Get scaled value of two inputs - * -# Add inputs - * -# Add offset terms to final result - * -# Multiply each entry of result by result_mult_int - * -# Shift the int32 accumulator by result_shift - * -# Clamp the resulting int32 values to the [0..255] range and cast to QASYMM8. - * - * @attention The inputs and output data types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT: - * e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=uchar -DDATA_TYPE_OUT=uchar - * @attention The number of bits to shift left of input tensors must be passed at compile time using -DLEFT_SHIFT - * @attention The offset, scalar scale factor and number of bits to shift right of input tensors must be passed at compile time using -DIN1_OFFSET, -RIN1_MULT_INT, -DIN1_SHIFT, -DIN2_OFFSET, -RIN2_MULT_INT and -DIN2_SHIFT - * @attention The offset, scalar scale factor and number of bits to shift right of output tensor must be passed at compile time using -DRESULT_OFFSET, -RESULT_MULT_INT and -DRESULT_SHIFT - * - * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN1, -DDATA_TYPE_IN2 and -DDATA_TYPE_OUT: - * e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=uchar -DDATA_TYPE_OUT=uchar - * @attention The inputs and output scale information of qasymm8 need to be passed at compile time using -DSCALE_IN1, -DSCALE_IN2 and -DSCALE_OUT: - * e.g. -DSCALE_IN1=1.f -DSCALE_IN2=1.f -DSCALE_OUT=2.f - * @attention The inputs and output scale offset need to be passed at compile time using -DOFFSET_IN1, -DOFFSET_IN2 and -DOFFSET_OUT: - * e.g. -DOFFSET_IN1=0 -DOFFSET_IN2=0 -DOFFSET_OUT=0 - * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 - * @attention To perform saturating operation -DSATURATE has to be passed to the compiler otherwise wrapping policy will be used. - * - * @param[in] in1_ptr Pointer to the source tensor. Supported data types: QASYMM8 - * @param[in] in1_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] in1_step_x in1_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] in1_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] in1_step_y in1_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] in1_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] in1_step_z in1_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] in1_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] in2_ptr Pointer to the source tensor. Supported data types: QASYMM8 - * @param[in] in2_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] in2_step_x in2_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] in2_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] in2_step_y in2_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] in2_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] in2_step_z in2_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[out] out_ptr Pointer to the destination tensor. Supported data types: QASYMM8 - * @param[in] out_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] out_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] out_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] out_step_z out_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination tensor - */ -__kernel void arithmetic_add_qasymm8( - TENSOR3D_DECLARATION(in1), - TENSOR3D_DECLARATION(in2), - TENSOR3D_DECLARATION(out)) -{ - // Get pixels pointer - Tensor3D in1 = CONVERT_TO_TENSOR3D_STRUCT(in1); - Tensor3D in2 = CONVERT_TO_TENSOR3D_STRUCT(in2); - Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(out); - - // Load data - VEC_DATA_TYPE(int, 16) - in1_data = CONVERT(vload16(0, (__global DATA_TYPE_IN1 *)in1.ptr), VEC_DATA_TYPE(int, 16)); - VEC_DATA_TYPE(int, 16) - in2_data = CONVERT(vload16(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(int, 16)); - - // Get scaled value of two inputs - VEC_DATA_TYPE(int, 16) in1_val = in1_data + (VEC_DATA_TYPE(int, 16))(IN1_OFFSET); - VEC_DATA_TYPE(int, 16) in2_val = in2_data + (VEC_DATA_TYPE(int, 16))(IN2_OFFSET); - - VEC_DATA_TYPE(int, 16) left_shift = (VEC_DATA_TYPE(int, 16))1 << (VEC_DATA_TYPE(int, 16))(LEFT_SHIFT); - VEC_DATA_TYPE(int, 16) shifted_in1_val = in1_val * left_shift; - VEC_DATA_TYPE(int, 16) shifted_in2_val = in2_val * left_shift; - - VEC_DATA_TYPE(int, 16) scaled_in1_val = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(shifted_in1_val, IN1_MULT_INT, IN1_SHIFT, 16); - VEC_DATA_TYPE(int, 16) scaled_in2_val = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(shifted_in2_val, IN2_MULT_INT, IN2_SHIFT, 16); - - // Add inputs and multiply with a multiplier smaller than 1 - VEC_DATA_TYPE(int, 16) sum_val = scaled_in1_val + scaled_in2_val; - VEC_DATA_TYPE(int, 16) out_val = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(sum_val, RESULT_MULT_INT, RESULT_SHIFT, 16); - out_val += (VEC_DATA_TYPE(int, 16))(RESULT_OFFSET); - - VEC_DATA_TYPE(uchar, 16) res = CONVERT(out_val, VEC_DATA_TYPE(uchar, 16)); - -// TODO: Apply min-max BOUND to support fuse with relu. -/* -#if defined(MIN_BOUND) - res = max(res, (uchar16)MIN_BOUND); -#endif // defined(MIN_BOUND) -#if defined(MAX_BOUND) - res = min(res, (uchar16)MAX_BOUND); -#endif // defined(MAX_BOUND) -*/ - - // Store result - VSTORE(16)(CONVERT(res, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)), - 0, (__global DATA_TYPE_OUT *)out.ptr); -} |