diff options
Diffstat (limited to 'src/core/CL/cl_kernels/depthwise_convolution_quantized.cl')
-rw-r--r-- | src/core/CL/cl_kernels/depthwise_convolution_quantized.cl | 1795 |
1 files changed, 0 insertions, 1795 deletions
diff --git a/src/core/CL/cl_kernels/depthwise_convolution_quantized.cl b/src/core/CL/cl_kernels/depthwise_convolution_quantized.cl deleted file mode 100644 index 95cd44eb78..0000000000 --- a/src/core/CL/cl_kernels/depthwise_convolution_quantized.cl +++ /dev/null @@ -1,1795 +0,0 @@ -/* - * Copyright (c) 2017-2020 Arm Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ - -#include "helpers_asymm.h" - -#ifndef VEC_SIZE -#if defined(N0) -#define VEC_SIZE N0 -#else /* defined(N0) */ -#define VEC_SIZE 8 -#endif /* defined(N0) */ -#endif /* VEC_SIZE */ - -#if defined(ACTIVATION_TYPE) && defined(CONST_0) -#include "activation_layer_quant.cl" -#define ACTIVATION_FUNC(x) PERFORM_ACTIVATION_QUANT(ACTIVATION_TYPE, x) -#else /* defined(ACTIVATION_TYPE) && defined(CONST_0) */ -#define ACTIVATION_FUNC(x) (x) -#endif /* defined(ACTIVATION_TYPE) && defined(CONST_0) */ - -#define VEC_INT VEC_DATA_TYPE(int, VEC_SIZE) -#define VEC_FLOAT VEC_DATA_TYPE(float, VEC_SIZE) -#define VEC_SHORT VEC_DATA_TYPE(short, VEC_SIZE) - -#if defined(DATA_TYPE) && defined(WEIGHTS_TYPE) - -#define VEC_TYPE(size) VEC_DATA_TYPE(DATA_TYPE, size) - -#if defined(WEIGHTS_OFFSET) && defined(INPUT_OFFSET) && defined(K_OFFSET) && ((defined(OUTPUT_OFFSET) && defined(OUTPUT_MULTIPLIER) && defined(OUTPUT_SHIFT)) || defined(REAL_MULTIPLIER)) - -#if defined(WEIGHTS_PROMOTED_TYPE) -#define VEC_WEIGHTS_PROMOTED_TYPE(size) VEC_DATA_TYPE(WEIGHTS_PROMOTED_TYPE, size) - -#if defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) -#if defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) -#define ARM_DOT(x, y, val) val = arm_dot_acc((x), (y), val); -#else // defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) -#define ARM_DOT(x, y, val) val += arm_dot((x), (y)); -#endif // defined(ARM_COMPUTE_OPENCL_DOT8_ACC_ENABLED) && defined(cl_arm_integer_dot_product_accumulate_int8) -#endif // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) - -#if defined(CONV_STRIDE_Y) && defined(CONV_STRIDE_X) && defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) - -#if CONV_STRIDE_X > 3 -#error "Stride X not supported" -#endif /* CONV_STRIDE_X > 3 */ - -#if !defined(IS_DOT8) - -#if DILATION_X == 1 - -#if CONV_STRIDE_X == 1 -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - int8 temp0 = CONVERT(vload8(0, (__global DATA_TYPE *)(first_value)), int8); \ - int2 temp1 = CONVERT(vload2(0, (__global DATA_TYPE *)(first_value + 8 * sizeof(DATA_TYPE))), int2); \ - \ - left = CONVERT(temp0.s01234567, int8); \ - middle = CONVERT((int8)(temp0.s1234, temp0.s567, temp1.s0), int8); \ - right = CONVERT((int8)(temp0.s2345, temp0.s67, temp1.s01), int8); \ - }) -#elif CONV_STRIDE_X == 2 -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - int16 temp0 = CONVERT(vload16(0, (__global DATA_TYPE *)(first_value)), int16); \ - int temp1 = CONVERT(*((__global DATA_TYPE *)(first_value + 16 * sizeof(DATA_TYPE))), int); \ - \ - left = CONVERT(temp0.s02468ace, int8); \ - middle = CONVERT(temp0.s13579bdf, int8); \ - right = CONVERT((int8)(temp0.s2468, temp0.sace, temp1), int8); \ - }) -#else /* CONV_STRIDE_X */ -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - int16 temp0 = CONVERT(vload16(0, (__global DATA_TYPE *)(first_value)), int16); \ - int8 temp1 = CONVERT(vload8(0, (__global DATA_TYPE *)(first_value + 16 * sizeof(DATA_TYPE))), int8); \ - \ - left = CONVERT((int8)(temp0.s0369, temp0.scf, temp1.s25), int8); \ - middle = CONVERT((int8)(temp0.s147a, temp0.sd, temp1.s036), int8); \ - right = CONVERT((int8)(temp0.s258b, temp0.se, temp1.s147), int8); \ - }) -#endif /* CONV_STRIDE_X */ - -#else /* DILATION_X == 1 */ - -#if CONV_STRIDE_X == 1 -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - left = CONVERT(vload8(0, (__global DATA_TYPE *)(first_value)), int8); \ - middle = CONVERT(vload8(0, (__global DATA_TYPE *)(first_value + DILATION_X * sizeof(DATA_TYPE))), int8); \ - right = CONVERT(vload8(0, (__global DATA_TYPE *)(first_value + 2 * DILATION_X * sizeof(DATA_TYPE))), int8); \ - }) -#elif CONV_STRIDE_X == 2 -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - int16 temp0 = CONVERT(vload16(0, (__global DATA_TYPE *)(first_value)), int16); \ - left = CONVERT(temp0.s02468ace, int8); \ - \ - temp0 = CONVERT(vload16(0, (__global DATA_TYPE *)(first_value + DILATION_X * sizeof(DATA_TYPE))), int16); \ - middle = CONVERT(temp0.s02468ace, int8); \ - \ - temp0 = CONVERT(vload16(0, (__global DATA_TYPE *)(first_value + 2 * DILATION_X * sizeof(DATA_TYPE))), int16); \ - right = CONVERT(temp0.s02468ace, int8); \ - }) -#else /* CONV_STRIDE_X */ -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - int16 temp0 = CONVERT(vload16(0, (__global DATA_TYPE *)(first_value)), int16); \ - int8 temp1 = CONVERT(vload8(0, (__global DATA_TYPE *)(first_value + 16 * sizeof(DATA_TYPE))), int8); \ - left = CONVERT((int8)(temp0.s0369, temp0.scf, temp1.s25), int8); \ - \ - temp0 = CONVERT(vload16(0, (__global DATA_TYPE *)(first_value + DILATION_X * sizeof(DATA_TYPE))), int16); \ - temp1 = CONVERT(vload8(0, (__global DATA_TYPE *)(first_value + (16 + DILATION_X) * sizeof(DATA_TYPE))), int8); \ - middle = CONVERT((int8)(temp0.s0369, temp0.scf, temp1.s25), int8); \ - \ - temp0 = CONVERT(vload16(0, (__global DATA_TYPE *)(first_value + 2 * DILATION_X * sizeof(DATA_TYPE))), int16); \ - temp1 = CONVERT(vload8(0, (__global DATA_TYPE *)(first_value + (16 + 2 * DILATION_X) * sizeof(DATA_TYPE))), int8); \ - right = CONVERT((int8)(temp0.s0369, temp0.scf, temp1.s25), int8); \ - }) - -#endif /* CONV_STRIDE_X */ -#endif /* DILATION_X==1 */ - -/** This function computes the depthwise convolution quantized. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL - * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) - * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) - * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) - * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor - * @param[in] output_multipliers_ptr Pointer to the output multipliers vector. Supported data types: S32 - * @param[in] output_multipliers_stride_x Stride of the output multipliers vector in X dimension (in bytes) - * @param[in] output_multipliers_step_x output_multipliers_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_multipliers_offset_first_element_in_bytes The offset of the first element in the output multipliers vector - * @param[in] output_shifts_ptr Pointer to the output shifts vector. Supported data types: S32 - * @param[in] output_shifts_stride_x Stride of the output shifts vector in X dimension (in bytes) - * @param[in] output_shifts_step_x output_shifts_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_shifts_offset_first_element_in_bytes The offset of the first element in the output shifts vector - * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: S32 - * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) - * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector - */ - -__kernel void dwc_3x3_native_quantized8_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - TENSOR3D_DECLARATION(weights), - VECTOR_DECLARATION(output_multipliers), - VECTOR_DECLARATION(output_shifts) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(biases) -#endif //defined(HAS_BIAS) -) -{ - Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); - Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); - Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); - Vector output_multipliers = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_multipliers); - Vector output_shifts = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_shifts); - - // Extract channel and linearized batch indices - const int channel = get_global_id(2) % DST_CHANNELS; - const int batch = get_global_id(2) / DST_CHANNELS; - -#if defined(HAS_BIAS) - Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); - - int bias_value = *((__global int *)(vector_offset(&biases, channel))); -#endif //defined(HAS_BIAS) - - // Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER) - src.ptr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; - __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; - - VEC_DATA_TYPE(WEIGHTS_TYPE, 3) - w0 = vload3(0, (__global WEIGHTS_TYPE *)(weights_addr + 0 * weights_stride_y)); - VEC_DATA_TYPE(WEIGHTS_TYPE, 3) - w1 = vload3(0, (__global WEIGHTS_TYPE *)(weights_addr + 1 * weights_stride_y)); - VEC_DATA_TYPE(WEIGHTS_TYPE, 3) - w2 = vload3(0, (__global WEIGHTS_TYPE *)(weights_addr + 2 * weights_stride_y)); - -#if defined(PER_CHANNEL_QUANTIZATION) - const int output_multiplier = *((__global int *)vector_offset(&output_multipliers, channel)); - const int output_shift = *((__global int *)vector_offset(&output_shifts, channel)); -#endif // defined(PER_CHANNEL_QUANTIZATION) - - int8 values0 = 0; - int8 sum0 = 0; -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - int8 values1 = 0; - int8 sum1 = 0; -#endif /* CONV_STRIDE_Y &&DILATION_Y==1 */ - - // Row0 - int8 left, middle, right; - GET_VALUES(src.ptr + 0 * src_stride_y, left, middle, right); - values0 += left * (int8)(w0.s0); - values0 += middle * (int8)(w0.s1); - values0 += right * (int8)(w0.s2); - -#if WEIGHTS_OFFSET != 0 - sum0 += left + middle + right; -#endif /* WEIGHTS_OFFSET != 0 */ - - // Row1 - GET_VALUES(src.ptr + DILATION_Y * src_stride_y, left, middle, right); - values0 += left * (int8)(w1.s0); - values0 += middle * (int8)(w1.s1); - values0 += right * (int8)(w1.s2); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += left * (int8)(w0.s0); - values1 += middle * (int8)(w0.s1); - values1 += right * (int8)(w0.s2); -#endif /* CONV_STRIDE_Y && DILATION_Y== 1 */ - -#if WEIGHTS_OFFSET != 0 - int8 tmp = left + middle + right; - sum0 += tmp; -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - sum1 += tmp; -#endif /* CONV_STRIDE_Y &&DILATION_Y== 1 */ -#endif /* WEIGHTS_OFFSET != 0 */ - - // Row2 - GET_VALUES(src.ptr + 2 * DILATION_Y * src_stride_y, left, middle, right); - values0 += left * (int8)(w2.s0); - values0 += middle * (int8)(w2.s1); - values0 += right * (int8)(w2.s2); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += left * (int8)(w1.s0); - values1 += middle * (int8)(w1.s1); - values1 += right * (int8)(w1.s2); -#endif /* CONV_STRIDE_Y &&DILATION_Y == 1 */ - -#if WEIGHTS_OFFSET != 0 - tmp = left + middle + right; - sum0 += tmp; -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - sum1 += tmp; -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1 */ -#endif /* WEIGHTS_OFFSET != 0 */ - -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - // Row3 - GET_VALUES(src.ptr + 3 * src_stride_y, left, middle, right); - values1 += left * (int8)(w2.s0); - values1 += middle * (int8)(w2.s1); - values1 += right * (int8)(w2.s2); - -#if WEIGHTS_OFFSET != 0 - sum1 += left + middle + right; -#endif /* WEIGHTS_OFFSET != 0 */ -#endif /* CONV_STRIDE_Y && DILATION_Y == 1 */ - -#if defined(HAS_BIAS) - values0 += (int8)(bias_value); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += (int8)(bias_value); -#endif /* CONV_STRIDE_Y & &DILATION_Y == 1 */ -#endif //defined(HAS_BIAS) - -#if WEIGHTS_OFFSET != 0 - values0 += sum0 * (int8)(WEIGHTS_OFFSET); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += sum1 * (int8)(WEIGHTS_OFFSET); -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1 */ -#endif /* WEIGHTS_OFFSET != 0 */ - -#if INPUT_OFFSET != 0 - VEC_WEIGHTS_PROMOTED_TYPE(3) - tmp_we = CONVERT(w0, VEC_WEIGHTS_PROMOTED_TYPE(3)) + CONVERT(w1, VEC_WEIGHTS_PROMOTED_TYPE(3)) + CONVERT(w2, VEC_WEIGHTS_PROMOTED_TYPE(3)); - - WEIGHTS_PROMOTED_TYPE sum_weights = tmp_we.s0 + tmp_we.s1 + tmp_we.s2; - values0 += sum_weights * (int8)(INPUT_OFFSET); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += sum_weights * (int8)(INPUT_OFFSET); -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1 */ -#endif /* INPUT_OFFSET != 0 */ - -#if K_OFFSET != 0 - values0 += (int8)(K_OFFSET); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += (int8)(K_OFFSET); -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1*/ -#endif /* K_OFFSET != 0 */ - -#if defined(REAL_MULTIPLIER) - - values0 = CONVERT(round(CONVERT(values0, float8) * (float8)REAL_MULTIPLIER), int8); - -#else // defined(REAL_MULTIPLIER) - -#if defined(PER_CHANNEL_QUANTIZATION) - int8 res0_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(values0, output_multiplier, output_shift, 8); - int8 res0_shift_gt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(values0, output_multiplier, output_shift, 8); - values0 = select(res0_shift_lt0, res0_shift_gt0, (int8)(output_shift) >= 0); -#else // defined(PER_CHANNEL_QUANTIZATION) -#if OUTPUT_SHIFT < 0 - values0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(values0, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, 8); -#else // OUTPUT_SHIFT < 0 - values0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(values0, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, 8); -#endif // OUTPUT_OFFSET < 0 -#endif // defined(PER_CHANNEL_QUANTIZATION) - -#endif // defined(REAL_MULTIPLIER) - - values0 += (int8)OUTPUT_OFFSET; - VEC_TYPE(8) - res0 = CONVERT_SAT(values0, VEC_TYPE(8)); - - vstore8(ACTIVATION_FUNC(res0), 0, dst.ptr); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 -#if defined(REAL_MULTIPLIER) - - values1 = CONVERT(round(CONVERT(values1, float8) * (float8)REAL_MULTIPLIER), int8); - -#else // defined(REAL_MULTIPLIER) - -#if defined(PER_CHANNEL_QUANTIZATION) - int8 res1_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(values1, output_multiplier, output_shift, 8); - int8 res1_shift_gt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(values1, output_multiplier, output_shift, 8); - values1 = select(res1_shift_lt0, res1_shift_gt0, (int8)(output_shift) >= 0); -#else // defined(PER_CHANNEL_QUANTIZATION) -#if OUTPUT_SHIFT < 0 - values1 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(values1, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, 8); -#else // OUTPUT_SHIFT < 0 - values1 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(values1, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, 8); -#endif // OUTPUT_OFFSET < 0 -#endif // defined(PER_CHANNEL_QUANTIZATION) - -#endif // defined(REAL_MULTIPLIER) - - values1 += (int8)OUTPUT_OFFSET; - VEC_TYPE(8) - res1 = CONVERT_SAT(values1, VEC_TYPE(8)); - - vstore8(ACTIVATION_FUNC(res1), 0, dst.ptr + dst_stride_y); -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1*/ -} - -#else // !defined(IS_DOT8) - -#if DILATION_X == 1 -#if CONV_STRIDE_X == 1 -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - VEC_TYPE(8) \ - temp0 = vload8(0, (__global DATA_TYPE *)(first_value)); \ - VEC_TYPE(2) \ - temp1 = vload2(0, (__global DATA_TYPE *)(first_value + 8 * sizeof(DATA_TYPE))); \ - \ - left = temp0.s01234567; \ - middle = (VEC_TYPE(8))(temp0.s1234, temp0.s567, temp1.s0); \ - right = (VEC_TYPE(8))(temp0.s2345, temp0.s67, temp1.s01); \ - }) -#elif CONV_STRIDE_X == 2 -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - VEC_TYPE(16) \ - temp0 = vload16(0, (__global DATA_TYPE *)(first_value)); \ - DATA_TYPE temp1 = *((__global DATA_TYPE *)(first_value + 16 * sizeof(DATA_TYPE))); \ - \ - left = temp0.s02468ace; \ - middle = temp0.s13579bdf; \ - right = (VEC_TYPE(8))(temp0.s2468, temp0.sace, temp1); \ - }) -#else /* CONV_STRIDE_X */ -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - VEC_TYPE(16) \ - temp0 = vload16(0, (__global DATA_TYPE *)(first_value)); \ - VEC_TYPE(8) \ - temp1 = vload8(0, (__global DATA_TYPE *)(first_value + 16 * sizeof(DATA_TYPE))); \ - \ - left = (VEC_TYPE(8))(temp0.s0369, temp0.scf, temp1.s25); \ - middle = (VEC_TYPE(8))(temp0.s147a, temp0.sd, temp1.s036); \ - right = (VEC_TYPE(8))(temp0.s258b, temp0.se, temp1.s147); \ - }) -#endif /* CONV_STRIDE_X */ -#else /*DILATION_X==1*/ - -#if CONV_STRIDE_X == 1 -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - left = vload8(0, (__global DATA_TYPE *)(first_value)); \ - middle = vload8(0, (__global DATA_TYPE *)(first_value + DILATION_X * sizeof(DATA_TYPE))); \ - right = vload8(0, (__global DATA_TYPE *)(first_value + 2 * DILATION_X * sizeof(DATA_TYPE))); \ - }) -#elif CONV_STRIDE_X == 2 -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - VEC_TYPE(16) \ - temp0 = vload16(0, (__global DATA_TYPE *)(first_value)); \ - left = temp0.s02468ace; \ - temp0 = vload16(0, (__global DATA_TYPE *)(first_value + DILATION_X * sizeof(DATA_TYPE))); \ - middle = temp0.s02468ace; \ - temp0 = vload16(0, (__global DATA_TYPE *)(first_value + 2 * DILATION_X * sizeof(DATA_TYPE))); \ - right = temp0.s02468ace; \ - }) -#else /* CONV_STRIDE_X */ -#define GET_VALUES(first_value, left, middle, right) \ - ({ \ - VEC_TYPE(16) \ - temp0 = vload16(0, (__global DATA_TYPE *)(first_value)); \ - VEC_TYPE(8) \ - temp1 = vload8(0, (__global DATA_TYPE *)(first_value + 16 * sizeof(DATA_TYPE)))); \ - left = (VEC_TYPE(8))(temp0.s0369, temp0.scf, temp1.s25); \ - \ - temp0 = vload16(0, (__global DATA_TYPE *)(first_value + DILATION_X * sizeof(DATA_TYPE))); \ - temp1 = vload8(0, (__global DATA_TYPE *)(first_value + (16 + DILATION_X) * sizeof(DATA_TYPE))); \ - middle = (VEC_TYPE(8))(temp0.s0369, temp0.scf, temp1.s25); \ - \ - temp0 = vload16(0, (__global DATA_TYPE *)(first_value + 2 * DILATION_X * sizeof(DATA_TYPE))); \ - temp1 = vload8(0, (__global DATA_TYPE *)(first_value + (16 + 2 * DILATION_X) * sizeof(DATA_TYPE))); \ - right = (VEC_TYPE(8))(temp0.s0369, temp0.scf, temp1.s25); \ - }) - -#endif /* CONV_STRIDE_X */ -#endif /*DILATION_X==1*/ -/** This function computes the depthwise convolution quantized using dot product when the data layout is NCHW. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL - * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) - * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) - * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) - * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor - * @param[in] output_multipliers_ptr Pointer to the output multipliers vector. Supported data types: S32 - * @param[in] output_multipliers_stride_x Stride of the output multipliers vector in X dimension (in bytes) - * @param[in] output_multipliers_step_x output_multipliers_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_multipliers_offset_first_element_in_bytes The offset of the first element in the output multipliers vector - * @param[in] output_shifts_ptr Pointer to the output shifts vector. Supported data types: S32 - * @param[in] output_shifts_stride_x Stride of the output shifts vector in X dimension (in bytes) - * @param[in] output_shifts_step_x output_shifts_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_shifts_offset_first_element_in_bytes The offset of the first element in the output shifts vector - * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: S32 - * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) - * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector - */ - -__kernel void dwc_3x3_native_quantized8_dot8_nchw( - TENSOR3D_DECLARATION(src), - TENSOR3D_DECLARATION(dst), - TENSOR3D_DECLARATION(weights), - VECTOR_DECLARATION(output_multipliers), - VECTOR_DECLARATION(output_shifts) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(biases) -#endif //defined(HAS_BIAS) -) -{ - Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); - Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); - Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); - Vector output_multipliers = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_multipliers); - Vector output_shifts = CONVERT_TO_VECTOR_STRUCT_NO_STEP(output_shifts); - - // Extract channel and linearized batch indices - const int channel = get_global_id(2) % DST_CHANNELS; - const int batch = get_global_id(2) / DST_CHANNELS; - -#if defined(HAS_BIAS) - Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); - - const int bias_value = *((__global int *)(vector_offset(&biases, channel))); -#endif //defined(HAS_BIAS) - - // Load relevant input and weights data (Accounts depth multiplier when indexing input, OFM = IFM * DEPTH_MULTIPLIER) - src.ptr -= batch * (DST_CHANNELS / DEPTH_MULTIPLIER) * (DEPTH_MULTIPLIER - 1) * src_step_z + (channel - (channel / DEPTH_MULTIPLIER)) * src_step_z; - __global uchar *weights_addr = weights.ptr + get_global_id(0) * weights_step_x + get_global_id(1) * weights_step_y + channel * weights_step_z; - - VEC_TYPE(3) - w0 = vload3(0, (__global WEIGHTS_TYPE *)(weights_addr + 0 * weights_stride_y)); - VEC_TYPE(3) - w1 = vload3(0, (__global WEIGHTS_TYPE *)(weights_addr + 1 * weights_stride_y)); - VEC_TYPE(3) - w2 = vload3(0, (__global WEIGHTS_TYPE *)(weights_addr + 2 * weights_stride_y)); - - const int output_multiplier = *((__global int *)vector_offset(&output_multipliers, 0)); - const int output_shift = *((__global int *)vector_offset(&output_shifts, 0)); - - VEC_TYPE(8) - left0, middle0, right0; - VEC_TYPE(8) - left1, middle1, right1; - VEC_TYPE(8) - left2, middle2, right2; - - int8 values0 = 0; - int8 sum0 = 0; - - GET_VALUES(src.ptr + 0 * src_stride_y, left0, middle0, right0); - GET_VALUES(src.ptr + DILATION_Y * src_stride_y, left1, middle1, right1); - GET_VALUES(src.ptr + 2 * DILATION_Y * src_stride_y, left2, middle2, right2); - -#if WEIGHTS_OFFSET != 0 - sum0 += convert_int8(left0) + convert_int8(middle0) + convert_int8(right0); - sum0 += convert_int8(left1) + convert_int8(middle1) + convert_int8(right1); - sum0 += convert_int8(left2) + convert_int8(middle2) + convert_int8(right2); -#endif /* WEIGHTS_OFFSET != 0 */ - -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - // If conv_stride_y is equals to 1, we compute two output rows - - VEC_TYPE(8) - left3, middle3, right3; - int8 values1 = 0; - int8 sum1 = 0; - - GET_VALUES(src.ptr + 3 * src_stride_y, left3, middle3, right3); - -#if WEIGHTS_OFFSET != 0 - sum1 += convert_int8(left1) + convert_int8(middle1) + convert_int8(right1); - sum1 += convert_int8(left2) + convert_int8(middle2) + convert_int8(right2); - sum1 += convert_int8(left3) + convert_int8(middle3) + convert_int8(right3); -#endif /* WEIGHTS_OFFSET != 0 */ -#endif // CONV_STRIDE_Y == 1 && DILATION_Y==1 - - ARM_DOT((VEC_TYPE(4))(left0.s0, middle0.s0, right0.s0, left1.s0), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values0.s0); - ARM_DOT((VEC_TYPE(4))(middle1.s0, right1.s0, left2.s0, middle2.s0), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values0.s0); - values0.s0 += right2.s0 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left0.s1, middle0.s1, right0.s1, left1.s1), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values0.s1); - ARM_DOT((VEC_TYPE(4))(middle1.s1, right1.s1, left2.s1, middle2.s1), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values0.s1); - values0.s1 += right2.s1 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left0.s2, middle0.s2, right0.s2, left1.s2), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values0.s2); - ARM_DOT((VEC_TYPE(4))(middle1.s2, right1.s2, left2.s2, middle2.s2), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values0.s2); - values0.s2 += right2.s2 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left0.s3, middle0.s3, right0.s3, left1.s3), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values0.s3); - ARM_DOT((VEC_TYPE(4))(middle1.s3, right1.s3, left2.s3, middle2.s3), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values0.s3); - values0.s3 += right2.s3 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left0.s4, middle0.s4, right0.s4, left1.s4), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values0.s4); - ARM_DOT((VEC_TYPE(4))(middle1.s4, right1.s4, left2.s4, middle2.s4), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values0.s4); - values0.s4 += right2.s4 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left0.s5, middle0.s5, right0.s5, left1.s5), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values0.s5); - ARM_DOT((VEC_TYPE(4))(middle1.s5, right1.s5, left2.s5, middle2.s5), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values0.s5); - values0.s5 += right2.s5 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left0.s6, middle0.s6, right0.s6, left1.s6), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values0.s6); - ARM_DOT((VEC_TYPE(4))(middle1.s6, right1.s6, left2.s6, middle2.s6), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values0.s6); - values0.s6 += right2.s6 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left0.s7, middle0.s7, right0.s7, left1.s7), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values0.s7); - ARM_DOT((VEC_TYPE(4))(middle1.s7, right1.s7, left2.s7, middle2.s7), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values0.s7); - values0.s7 += right2.s7 * w2.s2; - -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - ARM_DOT((VEC_TYPE(4))(left1.s0, middle1.s0, right1.s0, left2.s0), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values1.s0); - ARM_DOT((VEC_TYPE(4))(middle2.s0, right2.s0, left3.s0, middle3.s0), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values1.s0); - values1.s0 += right3.s0 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left1.s1, middle1.s1, right1.s1, left2.s1), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values1.s1); - ARM_DOT((VEC_TYPE(4))(middle2.s1, right2.s1, left3.s1, middle3.s1), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values1.s1); - values1.s1 += right3.s1 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left1.s2, middle1.s2, right1.s2, left2.s2), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values1.s2); - ARM_DOT((VEC_TYPE(4))(middle2.s2, right2.s2, left3.s2, middle3.s2), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values1.s2); - values1.s2 += right3.s2 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left1.s3, middle1.s3, right1.s3, left2.s3), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values1.s3); - ARM_DOT((VEC_TYPE(4))(middle2.s3, right2.s3, left3.s3, middle3.s3), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values1.s3); - values1.s3 += right3.s3 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left1.s4, middle1.s4, right1.s4, left2.s4), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values1.s4); - ARM_DOT((VEC_TYPE(4))(middle2.s4, right2.s4, left3.s4, middle3.s4), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values1.s4); - values1.s4 += right3.s4 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left1.s5, middle1.s5, right1.s5, left2.s5), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values1.s5); - ARM_DOT((VEC_TYPE(4))(middle2.s5, right2.s5, left3.s5, middle3.s5), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values1.s5); - values1.s5 += right3.s5 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left1.s6, middle1.s6, right1.s6, left2.s6), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values1.s6); - ARM_DOT((VEC_TYPE(4))(middle2.s6, right2.s6, left3.s6, middle3.s6), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values1.s6); - values1.s6 += right3.s6 * w2.s2; - - ARM_DOT((VEC_TYPE(4))(left1.s7, middle1.s7, right1.s7, left2.s7), (VEC_TYPE(4))(w0.s0, w0.s1, w0.s2, w1.s0), values1.s7); - ARM_DOT((VEC_TYPE(4))(middle2.s7, right2.s7, left3.s7, middle3.s7), (VEC_TYPE(4))(w1.s1, w1.s2, w2.s0, w2.s1), values1.s7); - values1.s7 += right3.s7 * w2.s2; -#endif // CONV_STRIDE_Y == 1 && DILATION_Y==1 - -#if defined(HAS_BIAS) - values0 += (int8)(bias_value); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += (int8)(bias_value); -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1 */ -#endif //defined(HAS_BIAS) - -#if WEIGHTS_OFFSET != 0 - values0 += sum0 * (int8)(WEIGHTS_OFFSET); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += sum1 * (int8)(WEIGHTS_OFFSET); -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1 */ -#endif /* WEIGHTS_OFFSET != 0 */ - -#if INPUT_OFFSET != 0 - WEIGHTS_PROMOTED_TYPE sum_weights = 0; - VEC_WEIGHTS_PROMOTED_TYPE(3) - tmp_we = CONVERT(w0, VEC_WEIGHTS_PROMOTED_TYPE(3)) + CONVERT(w1, VEC_WEIGHTS_PROMOTED_TYPE(3)) + CONVERT(w2, VEC_WEIGHTS_PROMOTED_TYPE(3)); - sum_weights += tmp_we.s0 + tmp_we.s1 + tmp_we.s2; - values0 += sum_weights * (int8)(INPUT_OFFSET); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += sum_weights * (int8)(INPUT_OFFSET); -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1*/ -#endif /* INPUT_OFFSET != 0 */ - -#if K_OFFSET != 0 - values0 += (int8)(K_OFFSET); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - values1 += (int8)(K_OFFSET); -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1*/ -#endif /* K_OFFSET != 0 */ - -#if defined(REAL_MULTIPLIER) - - values0 = CONVERT(round(CONVERT(values0, float8) * (float8)REAL_MULTIPLIER), int8); - -#else // defined(REAL_MULTIPLIER) - -#if defined(PER_CHANNEL_QUANTIZATION) - int8 res0_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(values0, output_multiplier, output_shift, 8); - int8 res0_shift_gt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(values0, output_multiplier, output_shift, 8); - values0 = select(res0_shift_lt0, res0_shift_gt0, (int8)(output_shift) >= 0); -#else // defined(PER_CHANNEL_QUANTIZATION) -#if OUTPUT_SHIFT < 0 - values0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(values0, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, 8); -#else // OUTPUT_SHIFT < 0 - values0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(values0, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, 8); -#endif // OUTPUT_OFFSET < 0 -#endif // defined(PER_CHANNEL_QUANTIZATION) - -#endif // defined(REAL_MULTIPLIER) - - values0 += (int8)OUTPUT_OFFSET; - VEC_TYPE(8) - res0 = CONVERT_SAT(values0, VEC_TYPE(8)); - - vstore8(ACTIVATION_FUNC(res0), 0, dst.ptr); -#if CONV_STRIDE_Y == 1 && DILATION_Y == 1 - -#if defined(REAL_MULTIPLIER) - - values1 = CONVERT(round(CONVERT(values1, float8) * (float8)REAL_MULTIPLIER), int8); - -#else // defined(REAL_MULTIPLIER) - -#if defined(PER_CHANNEL_QUANTIZATION) - int8 res1_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(values1, output_multiplier, output_shift, 8); - int8 res1_shift_gt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(values1, output_multiplier, output_shift, 8); - values1 = select(res1_shift_lt0, res1_shift_gt0, (int8)(output_shift) >= 0); -#else // defined(PER_CHANNEL_QUANTIZATION) -#if OUTPUT_SHIFT < 0 - values1 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(values1, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, 8); -#else // OUTPUT_SHIFT < 0 - values1 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(values1, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, 8); -#endif // OUTPUT_OFFSET < 0 -#endif // defined(PER_CHANNEL_QUANTIZATION) - -#endif // defined(REAL_MULTIPLIER) - - values1 += (int8)OUTPUT_OFFSET; - VEC_TYPE(8) - res1 = CONVERT_SAT(values1, VEC_TYPE(8)); - - vstore8(ACTIVATION_FUNC(res1), 0, dst.ptr + dst_stride_y); -#endif /* CONV_STRIDE_Y == 1 && DILATION_Y==1*/ -} - -#endif // !defined(IS_DOT8) - -#endif /* defined(CONV_STRIDE_Y) && defined(CONV_STRIDE_X) && defined(DEPTH_MULTIPLIER) && defined(DST_CHANNELS) */ - -#if defined(VEC_SIZE) && defined(SRC_DIM_1) && defined(SRC_DIM_2) && defined(CONV_PAD_TOP) && defined(CONV_PAD_LEFT) - -#define asymm_mult_by_quant_multiplier_less_than_one(x, y, z) ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(x, y, z, VEC_SIZE) - -#define MULTIPLY_ADD(x, y, acc) acc += CONVERT(CONVERT(x, VEC_WEIGHTS_PROMOTED_TYPE(VEC_SIZE)) * CONVERT(y, VEC_WEIGHTS_PROMOTED_TYPE(VEC_SIZE)), VEC_INT) - -#if WEIGHTS_OFFSET != 0 -#define MULTIPLY_ADD_ACCUMULATE(x, y, acc, sum) \ - ({ \ - sum += CONVERT(x, VEC_INT); \ - MULTIPLY_ADD(x, y, acc); \ - }) -#else /* WEIGHTS_OFFSET != 0 */ -#define MULTIPLY_ADD_ACCUMULATE(x, y, acc, sum) MULTIPLY_ADD(x, y, acc) -#endif /* WEIGHTS_OFFSET != 0 */ - -#if defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) -#define DOT_PRODUCT(acc, val0, val1, val2, val3, val4, val5, val6, val7, val8, w0, w1) \ - ({ \ - ARM_DOT((VEC_TYPE(4))(val0, val1, val2, val3), w0.s0123, acc); \ - ARM_DOT((VEC_TYPE(4))(val4, val5, val6, val7), w0.s4567, acc); \ - acc += val8 * w1; \ - }) - -#define DOT_PRODUCT_REDUCTION(sum, val0, val1, val2, val3, val4, val5, val6, val7, val8) \ - ({ \ - sum = val0; \ - ARM_DOT((VEC_TYPE(4))(val1, val2, val3, val4), (VEC_TYPE(4))1, sum); \ - ARM_DOT((VEC_TYPE(4))(val5, val6, val7, val8), (VEC_TYPE(4))1, sum); \ - }) - -#define DOT_PRODUCT_REDUCTION_WEIGHTS(sum, w0, w1) \ - ({ \ - sum = w1; \ - ARM_DOT(w0.s0123, (VEC_TYPE(4))1, sum); \ - ARM_DOT(w0.s4567, (VEC_TYPE(4))1, sum); \ - }) - -#endif // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) - -#if defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y) && VEC_SIZE == 4 -/** This function computes the depthwise convolution quantized for NHWC data layout when the stride along the width or height is not 1. - * - * @note This kernel assumes VEC_SIZE is 4. - * @note The weights tensor is expected to be reshaped using @ref CLDepthwiseConvolutionLayerReshapeWeightsKernel. - * @note The number of elements read per thread must be passed at compile time using -DVEC_SIZE (e.g. -DVEC_SIZE=2) - * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) - * @note The convolution pad top must be passed at compile time using -DCONV_PAD_TOP (e.g. -DCONV_PAD_TOP=1) - * @note The convolution pad top must be passed at compile time using -DCONV_PAD_LEFT (e.g. -DCONV_PAD_LEFT=1) - * @note The convolution stride along the width must be passed at compile time using -DCONV_STRIDE_X (e.g. -DCONV_STRIDE_Y=X) - * @note The convolution stride along the height must be passed at compile time using -DCONV_STRIDE_Y (e.g. -DCONV_STRIDE_Y=1) - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_y * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] weights_ptr Pointer to the weights tensor reshaped. Supported data types: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL - * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) - * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) - * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor - * @param[in] output_multipliers_ptr Pointer to the output multipliers vector. Supported data types: S32 - * @param[in] output_multipliers_stride_x Stride of the output multipliers vector in X dimension (in bytes) - * @param[in] output_multipliers_step_x output_multipliers_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_multipliers_offset_first_element_in_bytes The offset of the first element in the output multipliers vector - * @param[in] output_shifts_ptr Pointer to the output shifts vector. Supported data types: S32 - * @param[in] output_shifts_stride_x Stride of the output shifts vector in X dimension (in bytes) - * @param[in] output_shifts_step_x output_shifts_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_shifts_offset_first_element_in_bytes The offset of the first element in the output shifts vector - * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: S32 - * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) - * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector - * @param[in] max_offset Max offset for the input tensor - */ -__kernel void dwc_3x3_reshaped_quantized8_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR4D_DECLARATION(dst), - IMAGE_DECLARATION(weights), - VECTOR_DECLARATION(output_multipliers), - VECTOR_DECLARATION(output_shifts), -#if defined(HAS_BIAS) - VECTOR_DECLARATION(biases), -#endif /* defined(HAS_BIAS) */ - int max_offset) -{ - const int x = get_global_id(0); // channels - const int y = get_global_id(1); // spatial coordinate x -#if defined(DST_DEPTH) - int z = get_global_id(2) % (int)DST_DEPTH; // spatial coordinate y - int b = get_global_id(2) / (int)DST_DEPTH; // batch -#else // defined(DST_DEPTH) - int z = get_global_id(2); // spatial coordinate y -#endif // defined(DST_DEPTH) - - __global uchar *weights_addr = weights_ptr + weights_offset_first_element_in_bytes + x * weights_stride_y; - -#if defined(DST_DEPTH) - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * VEC_SIZE + b * src_stride_w; -#else /* defined(DST_DEPTH) */ - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * VEC_SIZE; -#endif /* defined(DST_DEPTH) */ - - int z_coord = 0; - int4 offset = 0; - int4 y_coord = ((int4)(y * CONV_STRIDE_X) + (int4)(0, DILATION_X * 1, DILATION_X * 2, DILATION_X * 3)) - (int)CONV_PAD_LEFT; - - // Only for y = 0 we can have a negative coordinate. If so, we convert it to SRC_DIM_1 - y_coord.s0 = min((uint)y_coord.s0, (uint)SRC_DIM_1); - y_coord.s1 = min((uint)y_coord.s1, (uint)SRC_DIM_1); - y_coord.s2 = min((uint)y_coord.s2, (uint)SRC_DIM_1); - y_coord.s3 = min((uint)y_coord.s3, (uint)SRC_DIM_1); - - int4 y_offset = convert_int4(y_coord * (int)src_stride_y); - - // We compute VEC_SIZEx1x1 [C,W,H] elements - VEC_INT acc = 0, sum = 0; - - // Load weights - VEC_DATA_TYPE(WEIGHTS_TYPE, 16) - w0_tmp = VLOAD(16)(0, (__global WEIGHTS_TYPE *)(weights_addr)); - VEC_DATA_TYPE(WEIGHTS_TYPE, 16) - w1_tmp = VLOAD(16)(0, (__global WEIGHTS_TYPE *)(weights_addr + 16)); - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w8 = VLOAD(4)(0, (__global WEIGHTS_TYPE *)(weights_addr + 2 * 16)); - - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w0 = w0_tmp.s0123; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w1 = w0_tmp.s4567; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w2 = w0_tmp.s89AB; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w3 = w0_tmp.sCDEF; - - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w4 = w1_tmp.s0123; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w5 = w1_tmp.s4567; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w6 = w1_tmp.s89AB; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w7 = w1_tmp.sCDEF; - -#if INPUT_OFFSET != 0 - VEC_INT sum_we = CONVERT(w0, VEC_INT) + CONVERT(w1, VEC_INT) + CONVERT(w2, VEC_INT) - + CONVERT(w3, VEC_INT) + CONVERT(w4, VEC_INT) + CONVERT(w5, VEC_INT) - + CONVERT(w6, VEC_INT) + CONVERT(w7, VEC_INT) + CONVERT(w8, VEC_INT); -#endif /* INPUT_OFFSET != 0 */ - - // Load input values - // z == 0 - // Clamp z_coord as for z = 0, it can be negative - // z_coord is casted to unsigned int in order to use just a min() operation - // A "-1" 32 bit signed variable converted to unsigned gives 4294967295 - z_coord = z * (int)CONV_STRIDE_Y - (int)CONV_PAD_TOP; - z_coord = min((uint)z_coord, (uint)SRC_DIM_2); - offset = y_offset + (int4)(z_coord * src_stride_z); - offset = min(offset, (int4)max_offset); - - VEC_TYPE(VEC_SIZE) - values0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values1 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values2 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - - // z == 1 - // z_coord can be only negative for z = 0 so we do not need to clamp it - // Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset - z_coord = z * (int)CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y; - offset = y_offset + (int4)(z_coord * src_stride_z); - VEC_TYPE(VEC_SIZE) - values3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values4 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values5 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - - // z == 2 - // Offset can be out-of-bound so we need to check if it is greater than max_offset - z_coord = z * (int)CONV_STRIDE_Y - (int)CONV_PAD_TOP + DILATION_Y * 2; - offset = y_offset + (int4)(z_coord * src_stride_z); - offset = min(offset, (int4)max_offset); - VEC_TYPE(VEC_SIZE) - values6 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values7 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values8 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - - MULTIPLY_ADD_ACCUMULATE(values0, w0, acc, sum); - MULTIPLY_ADD_ACCUMULATE(values1, w1, acc, sum); - MULTIPLY_ADD_ACCUMULATE(values2, w2, acc, sum); - - MULTIPLY_ADD_ACCUMULATE(values3, w3, acc, sum); - MULTIPLY_ADD_ACCUMULATE(values4, w4, acc, sum); - MULTIPLY_ADD_ACCUMULATE(values5, w5, acc, sum); - - MULTIPLY_ADD_ACCUMULATE(values6, w6, acc, sum); - MULTIPLY_ADD_ACCUMULATE(values7, w7, acc, sum); - MULTIPLY_ADD_ACCUMULATE(values8, w8, acc, sum); - -#if defined(HAS_BIAS) - Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); - VEC_INT bias_values = VLOAD(VEC_SIZE)(0, (__global int *)biases.ptr); - acc += bias_values; -#endif // defined(HAS_BIAS) - -#if WEIGHTS_OFFSET != 0 - acc += WEIGHTS_OFFSET * sum; -#endif /* WEIGHTS_OFFSET != 0 */ - -#if INPUT_OFFSET != 0 - acc += INPUT_OFFSET * sum_we; -#endif /* INPUT_OFFSET != 0 */ - -#if K_OFFSET != 0 - acc += (VEC_INT)K_OFFSET; -#endif /* K_OFFSET != 0 */ - -#if defined(REAL_MULTIPLIER) - - acc = CONVERT(round(CONVERT(acc, VEC_FLOAT) * (VEC_FLOAT)REAL_MULTIPLIER), VEC_INT); - -#else // defined(REAL_MULTIPLIER) - -#if defined(PER_CHANNEL_QUANTIZATION) - Vector output_multipliers = CONVERT_TO_VECTOR_STRUCT(output_multipliers); - Vector output_shifts = CONVERT_TO_VECTOR_STRUCT(output_shifts); - VEC_INT output_multiplier = VLOAD(VEC_SIZE)(0, (__global int *)output_multipliers.ptr); - VEC_INT output_shift = VLOAD(VEC_SIZE)(0, (__global int *)output_shifts.ptr); - - VEC_INT res_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc, output_multiplier, output_shift, VEC_SIZE); - VEC_INT res_shift_gt0 = asymm_mult_by_quant_multiplier_less_than_one(acc, output_multiplier, output_shift); - acc = select(res_shift_lt0, res_shift_gt0, output_shift >= 0); -#else // defined(PER_CHANNEL_QUANTIZATION) -#if OUTPUT_SHIFT < 0 - acc = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, VEC_SIZE); -#else // OUTPUT_SHIFT < 0 - acc = asymm_mult_by_quant_multiplier_less_than_one(acc, OUTPUT_MULTIPLIER, OUTPUT_SHIFT); -#endif // OUTPUT_SHIFT < 0 -#endif // defined(PER_CHANNEL_QUANTIZATION) - -#endif // defined(REAL_MULTIPLIER) - - acc += (VEC_INT)OUTPUT_OFFSET; - - VEC_TYPE(VEC_SIZE) - res = CONVERT_SAT(acc, VEC_TYPE(VEC_SIZE)); - -#if defined(DST_DEPTH) - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z + b * dst_stride_w; -#else /* defined(DST_DEPTH) */ - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z; -#endif /* defined(DST_DEPTH) */ - - VSTORE(VEC_SIZE) - (ACTIVATION_FUNC(res), 0, (__global DATA_TYPE *)(dst_addr)); -} -#endif // defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y) - -#if defined(NUM_ROWS_PROCESSED) && defined(NUM_PLANES_PROCESSED) && VEC_SIZE == 4 -/** This function computes the depthwise convolution quantized for NHWC data layout when the stride along the width and height is 1. - * - * @note This kernel assumes VEC_SIZE is 4. - * @note The weights tensor is expected to be reshaped using @ref CLDepthwiseConvolutionLayerReshapeWeightsKernel. - * @note The number of elements read per thread must be passed at compile time using -DVEC_SIZE (e.g. -DVEC_SIZE=2) - * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) - * @note The number of rows processed per thread must be passed at compile time using -DNUM_ROWS_PROCESSED (i.e. -DNUM_ROWS_PROCESSED=2) - * @note The number of planes processed per thread must be passed at compile time using -DNUM_PLANES_PROCESSED (i.e. -DNUM_PLANES_PROCESSED=2) - * @note The convolution pad top must be passed at compile time using -DCONV_PAD_TOP (e.g. -DCONV_PAD_TOP=1) - * @note The convolution pad top must be passed at compile time using -DCONV_PAD_LEFT (e.g. -DCONV_PAD_LEFT=1). - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_y * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL - * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) - * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) - * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor - * @param[in] output_multipliers_ptr Pointer to the output multipliers vector. Supported data types: S32 - * @param[in] output_multipliers_stride_x Stride of the output multipliers vector in X dimension (in bytes) - * @param[in] output_multipliers_step_x output_multipliers_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_multipliers_offset_first_element_in_bytes The offset of the first element in the output multipliers vector - * @param[in] output_shifts_ptr Pointer to the output shifts vector. Supported data types: S32 - * @param[in] output_shifts_stride_x Stride of the output shifts vector in X dimension (in bytes) - * @param[in] output_shifts_step_x output_shifts_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_shifts_offset_first_element_in_bytes The offset of the first element in the output shifts vector - * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: S32 - * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) - * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector - * @param[in] max_offset Max offset for the input tensor - */ - -__kernel void dwc_3x3_reshaped_quantized8_stride1_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR4D_DECLARATION(dst), - IMAGE_DECLARATION(weights), - VECTOR_DECLARATION(output_multipliers), - VECTOR_DECLARATION(output_shifts), -#if defined(HAS_BIAS) - VECTOR_DECLARATION(biases), -#endif /* defined(HAS_BIAS) */ - int max_offset) -{ - int x = get_global_id(0); - int y = get_global_id(1); -#if defined(DST_DEPTH) - int z = get_global_id(2) % (int)DST_DEPTH; // spatial coordinate y - int b = get_global_id(2) / (int)DST_DEPTH; // batch -#else // defined(DST_DEPTH) - int z = get_global_id(2); // spatial coordinate y -#endif // defined(DST_DEPTH) - - __global uchar *weights_addr = weights_ptr + weights_offset_first_element_in_bytes + x * weights_stride_y; - -#if defined(DST_DEPTH) - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * VEC_SIZE + b * src_stride_w; -#else /* defined(DST_DEPTH) */ - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * VEC_SIZE; -#endif /* defined(DST_DEPTH) */ - - int z_coord = 0; - int4 offset = 0; - int4 y_coord = ((int4)(y * NUM_ROWS_PROCESSED) + (int4)(0, 1, 2, 3)) - (int)CONV_PAD_LEFT; - - // Only for y = 0 we can have a negative coordinate. If so, we convert it to SRC_DIM_1 - y_coord.s0 = min((uint)y_coord.s0, (uint)SRC_DIM_1); - y_coord.s1 = min((uint)y_coord.s1, (uint)SRC_DIM_1); - y_coord.s2 = min((uint)y_coord.s2, (uint)SRC_DIM_1); - y_coord.s3 = min((uint)y_coord.s3, (uint)SRC_DIM_1); - - int4 y_offset = convert_int4(y_coord * (int)src_stride_y); - - // We compute 4x2x2 [C,W,H] elements - VEC_INT acc0 = 0, sum0 = 0; - VEC_INT acc1 = 0, sum1 = 0; - VEC_INT acc2 = 0, sum2 = 0; - VEC_INT acc3 = 0, sum3 = 0; - - // Load weights - VEC_DATA_TYPE(WEIGHTS_TYPE, 16) - w0_tmp = VLOAD(16)(0, (__global WEIGHTS_TYPE *)(weights_addr)); - VEC_DATA_TYPE(WEIGHTS_TYPE, 16) - w1_tmp = VLOAD(16)(0, (__global WEIGHTS_TYPE *)(weights_addr + 16)); - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w8 = VLOAD(4)(0, (__global WEIGHTS_TYPE *)(weights_addr + 2 * 16)); - - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w0 = w0_tmp.s0123; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w1 = w0_tmp.s4567; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w2 = w0_tmp.s89AB; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w3 = w0_tmp.sCDEF; - - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w4 = w1_tmp.s0123; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w5 = w1_tmp.s4567; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w6 = w1_tmp.s89AB; - VEC_DATA_TYPE(WEIGHTS_TYPE, 4) - w7 = w1_tmp.sCDEF; - -#if INPUT_OFFSET != 0 - VEC_INT sum_we = CONVERT(w0, VEC_INT) + CONVERT(w1, VEC_INT) + CONVERT(w2, VEC_INT) - + CONVERT(w3, VEC_INT) + CONVERT(w4, VEC_INT) + CONVERT(w5, VEC_INT) - + CONVERT(w6, VEC_INT) + CONVERT(w7, VEC_INT) + CONVERT(w8, VEC_INT); -#endif /* INPUT_OFFSET != 0 */ - - // Load input values - // z == 0 - // Clamp z_coord as for z = 0, it can be negative - // z_coord is casted to unsigned int in order to use just a min() operation - // A "-1" 32 bit signed variable converted to unsigned gives 4294967295 - z_coord = z * (int)NUM_PLANES_PROCESSED - (int)CONV_PAD_TOP; - z_coord = min((uint)z_coord, (uint)SRC_DIM_2); - offset = y_offset + (int4)(z_coord * src_stride_z); - offset = min(offset, (int4)max_offset); - - VEC_TYPE(VEC_SIZE) - values0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values1 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values2 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - VEC_TYPE(VEC_SIZE) - values3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); - - // z == 1 - // z_coord can be only negative for z = 0 so we do not need to clamp it - // Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset - z_coord = z * (int)NUM_PLANES_PROCESSED - (int)CONV_PAD_TOP + 1; - offset = y_offset + (int4)(z_coord * src_stride_z); - VEC_TYPE(VEC_SIZE) - values4 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values5 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values6 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - VEC_TYPE(VEC_SIZE) - values7 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); - - // z == 2 - // After z = 1 we can simply add src_stride_z to offset without updating z_coord - // However offset can be out-of-bound so we need to check if it is greater than max_offset - offset += (int4)src_stride_z; - offset = min(offset, (int4)max_offset); - VEC_TYPE(VEC_SIZE) - values8 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values9 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values10 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - VEC_TYPE(VEC_SIZE) - values11 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); - - // z == 3 - // After z = 1 we can simply add src_stride_z to offset without updating z_coord - // However offset can be out-of-bound so we need to check if it is greater than max_offset - offset += (int4)(src_stride_z); - offset = min(offset, (int4)max_offset); - VEC_TYPE(VEC_SIZE) - values12 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values13 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values14 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - VEC_TYPE(VEC_SIZE) - values15 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); - - MULTIPLY_ADD_ACCUMULATE(values0, w0, acc0, sum0); - MULTIPLY_ADD_ACCUMULATE(values1, w1, acc0, sum0); - MULTIPLY_ADD_ACCUMULATE(values2, w2, acc0, sum0); - MULTIPLY_ADD_ACCUMULATE(values1, w0, acc1, sum1); - MULTIPLY_ADD_ACCUMULATE(values2, w1, acc1, sum1); - MULTIPLY_ADD_ACCUMULATE(values3, w2, acc1, sum1); - - MULTIPLY_ADD_ACCUMULATE(values4, w3, acc0, sum0); - MULTIPLY_ADD_ACCUMULATE(values5, w4, acc0, sum0); - MULTIPLY_ADD_ACCUMULATE(values6, w5, acc0, sum0); - MULTIPLY_ADD_ACCUMULATE(values5, w3, acc1, sum1); - MULTIPLY_ADD_ACCUMULATE(values6, w4, acc1, sum1); - MULTIPLY_ADD_ACCUMULATE(values7, w5, acc1, sum1); - - MULTIPLY_ADD_ACCUMULATE(values8, w6, acc0, sum0); - MULTIPLY_ADD_ACCUMULATE(values9, w7, acc0, sum0); - MULTIPLY_ADD_ACCUMULATE(values10, w8, acc0, sum0); - MULTIPLY_ADD_ACCUMULATE(values9, w6, acc1, sum1); - MULTIPLY_ADD_ACCUMULATE(values10, w7, acc1, sum1); - MULTIPLY_ADD_ACCUMULATE(values11, w8, acc1, sum1); - - MULTIPLY_ADD_ACCUMULATE(values4, w0, acc2, sum2); - MULTIPLY_ADD_ACCUMULATE(values5, w1, acc2, sum2); - MULTIPLY_ADD_ACCUMULATE(values6, w2, acc2, sum2); - MULTIPLY_ADD_ACCUMULATE(values5, w0, acc3, sum3); - MULTIPLY_ADD_ACCUMULATE(values6, w1, acc3, sum3); - MULTIPLY_ADD_ACCUMULATE(values7, w2, acc3, sum3); - - MULTIPLY_ADD_ACCUMULATE(values8, w3, acc2, sum2); - MULTIPLY_ADD_ACCUMULATE(values9, w4, acc2, sum2); - MULTIPLY_ADD_ACCUMULATE(values10, w5, acc2, sum2); - MULTIPLY_ADD_ACCUMULATE(values9, w3, acc3, sum3); - MULTIPLY_ADD_ACCUMULATE(values10, w4, acc3, sum3); - MULTIPLY_ADD_ACCUMULATE(values11, w5, acc3, sum3); - - MULTIPLY_ADD_ACCUMULATE(values12, w6, acc2, sum2); - MULTIPLY_ADD_ACCUMULATE(values13, w7, acc2, sum2); - MULTIPLY_ADD_ACCUMULATE(values14, w8, acc2, sum2); - MULTIPLY_ADD_ACCUMULATE(values13, w6, acc3, sum3); - MULTIPLY_ADD_ACCUMULATE(values14, w7, acc3, sum3); - MULTIPLY_ADD_ACCUMULATE(values15, w8, acc3, sum3); - -#if defined(HAS_BIAS) - Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); - - VEC_INT bias_values = VLOAD(VEC_SIZE)(0, (__global int *)biases.ptr); - - acc0 += bias_values; - acc1 += bias_values; - acc2 += bias_values; - acc3 += bias_values; -#endif /* defined(HAS_BIAS) */ - -#if WEIGHTS_OFFSET != 0 - acc0 += WEIGHTS_OFFSET * sum0; - acc1 += WEIGHTS_OFFSET * sum1; - acc2 += WEIGHTS_OFFSET * sum2; - acc3 += WEIGHTS_OFFSET * sum3; -#endif /* WEIGHTS_OFFSET != 0 */ - -#if INPUT_OFFSET != 0 - VEC_INT offs = INPUT_OFFSET * sum_we; - - acc0 += offs; - acc1 += offs; - acc2 += offs; - acc3 += offs; -#endif /* INPUT_OFFSET != 0 */ - -#if K_OFFSET != 0 - acc0 += (VEC_INT)K_OFFSET; - acc1 += (VEC_INT)K_OFFSET; - acc2 += (VEC_INT)K_OFFSET; - acc3 += (VEC_INT)K_OFFSET; -#endif /* K_OFFSET != 0 */ - -#if defined(REAL_MULTIPLIER) - - acc0 = CONVERT(round(CONVERT(acc0, VEC_FLOAT) * (VEC_FLOAT)REAL_MULTIPLIER), VEC_INT); - acc1 = CONVERT(round(CONVERT(acc1, VEC_FLOAT) * (VEC_FLOAT)REAL_MULTIPLIER), VEC_INT); - acc2 = CONVERT(round(CONVERT(acc2, VEC_FLOAT) * (VEC_FLOAT)REAL_MULTIPLIER), VEC_INT); - acc3 = CONVERT(round(CONVERT(acc3, VEC_FLOAT) * (VEC_FLOAT)REAL_MULTIPLIER), VEC_INT); - -#else // defined(REAL_MULTIPLIER) - -#if defined(PER_CHANNEL_QUANTIZATION) - Vector output_multipliers = CONVERT_TO_VECTOR_STRUCT(output_multipliers); - Vector output_shifts = CONVERT_TO_VECTOR_STRUCT(output_shifts); - VEC_INT output_multiplier = VLOAD(VEC_SIZE)(0, (__global int *)output_multipliers.ptr); - VEC_INT output_shift = VLOAD(VEC_SIZE)(0, (__global int *)output_shifts.ptr); - - VEC_INT res0_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc0, output_multiplier, output_shift, VEC_SIZE); - VEC_INT res1_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc1, output_multiplier, output_shift, VEC_SIZE); - VEC_INT res2_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc2, output_multiplier, output_shift, VEC_SIZE); - VEC_INT res3_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc3, output_multiplier, output_shift, VEC_SIZE); - VEC_INT res0_shift_gt0 = asymm_mult_by_quant_multiplier_less_than_one(acc0, output_multiplier, output_shift); - VEC_INT res1_shift_gt0 = asymm_mult_by_quant_multiplier_less_than_one(acc1, output_multiplier, output_shift); - VEC_INT res2_shift_gt0 = asymm_mult_by_quant_multiplier_less_than_one(acc2, output_multiplier, output_shift); - VEC_INT res3_shift_gt0 = asymm_mult_by_quant_multiplier_less_than_one(acc3, output_multiplier, output_shift); - acc0 = select(res0_shift_lt0, res0_shift_gt0, output_shift >= 0); - acc1 = select(res1_shift_lt0, res1_shift_gt0, output_shift >= 0); - acc2 = select(res2_shift_lt0, res2_shift_gt0, output_shift >= 0); - acc3 = select(res3_shift_lt0, res3_shift_gt0, output_shift >= 0); -#else // defined(PER_CHANNEL_QUANTIZATION) -#if OUTPUT_SHIFT < 0 - acc0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc0, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, VEC_SIZE); - acc1 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc1, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, VEC_SIZE); - acc2 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc2, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, VEC_SIZE); - acc3 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc3, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, VEC_SIZE); -#else // OUTPUT_SHIFT < 0 - acc0 = asymm_mult_by_quant_multiplier_less_than_one(acc0, OUTPUT_MULTIPLIER, OUTPUT_SHIFT); - acc1 = asymm_mult_by_quant_multiplier_less_than_one(acc1, OUTPUT_MULTIPLIER, OUTPUT_SHIFT); - acc2 = asymm_mult_by_quant_multiplier_less_than_one(acc2, OUTPUT_MULTIPLIER, OUTPUT_SHIFT); - acc3 = asymm_mult_by_quant_multiplier_less_than_one(acc3, OUTPUT_MULTIPLIER, OUTPUT_SHIFT); -#endif // OUTPUT_SHIFT < 0 -#endif // defined(PER_CHANNEL_QUANTIZATION) - -#endif // defined(REAL_MULTIPLIER) - - acc0 += (VEC_INT)OUTPUT_OFFSET; - acc1 += (VEC_INT)OUTPUT_OFFSET; - acc2 += (VEC_INT)OUTPUT_OFFSET; - acc3 += (VEC_INT)OUTPUT_OFFSET; - - VEC_TYPE(VEC_SIZE) - res0 = CONVERT_SAT(acc0, VEC_TYPE(VEC_SIZE)); - VEC_TYPE(VEC_SIZE) - res1 = CONVERT_SAT(acc1, VEC_TYPE(VEC_SIZE)); - VEC_TYPE(VEC_SIZE) - res2 = CONVERT_SAT(acc2, VEC_TYPE(VEC_SIZE)); - VEC_TYPE(VEC_SIZE) - res3 = CONVERT_SAT(acc3, VEC_TYPE(VEC_SIZE)); - -#if defined(DST_DEPTH) - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + (z * NUM_PLANES_PROCESSED) * dst_step_z + b * dst_stride_w; -#else /* defined(DST_DEPTH) */ - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + (z * NUM_PLANES_PROCESSED) * dst_step_z; -#endif /* defined(DST_DEPTH) */ - - VSTORE(VEC_SIZE) - (ACTIVATION_FUNC(res0), 0, dst_addr + 0 * dst_stride_y); - VSTORE(VEC_SIZE) - (ACTIVATION_FUNC(res1), 0, dst_addr + 1 * dst_stride_y); - -#if((DST_DIM_2 % NUM_PLANES_PROCESSED) != 0) - if((z * NUM_PLANES_PROCESSED + 1) < DST_DIM_2) -#endif // ((DST_DIM_2 % NUM_PLANES_PROCESSED) != 0) - { - VSTORE(VEC_SIZE) - (ACTIVATION_FUNC(res2), 0, (__global DATA_TYPE *)(dst_addr + 0 * dst_stride_y + 1 * dst_stride_z)); - VSTORE(VEC_SIZE) - (ACTIVATION_FUNC(res3), 0, (__global DATA_TYPE *)(dst_addr + 1 * dst_stride_y + 1 * dst_stride_z)); - } -} - -#if defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) && VEC_SIZE == 4 -/** This function computes the depthwise convolution quantized for NHWC data layout when the stride along the width and height is 1 using dot product. - * - * @note Per-channel quantization is not supported by this kernel. - * @note This kernel assumes VEC_SIZE is 4. - * @note The weights tensor is expected to be reshaped using @ref CLDepthwiseConvolutionLayerReshapeWeightsKernel. - * @note The number of elements read per thread must be passed at compile time using -DVEC_SIZE (e.g. -DVEC_SIZE=2) - * @note Dimension two of the input tensor (height for NHWC data layout) must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM_2=112) - * @note The number of rows processed per thread must be passed at compile time using -DNUM_ROWS_PROCESSED (i.e. -DNUM_ROWS_PROCESSED=2) - * @note The number of planes processed per thread must be passed at compile time using -DNUM_PLANES_PROCESSED (i.e. -DNUM_PLANES_PROCESSED=2) - * @note The convolution pad top must be passed at compile time using -DCONV_PAD_TOP (e.g. -DCONV_PAD_TOP=1) - * @note The convolution pad top must be passed at compile time using -DCONV_PAD_LEFT (e.g. -DCONV_PAD_LEFT=1). - * @note If REAL_MULTIPLIER is passed at compile time (i.e. -DREAL_MULTIPLIER=1.355f), the final quantization is performed using a floating point multiplication. - * If not, the quantization will be performed using a fixed point multiplication - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_y * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr - * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) - * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) - * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor - * @param[in] output_multipliers_ptr Pointer to the output multipliers vector. Supported data types: S32 - * @param[in] output_multipliers_stride_x Stride of the output multipliers vector in X dimension (in bytes) - * @param[in] output_multipliers_step_x output_multipliers_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_multipliers_offset_first_element_in_bytes The offset of the first element in the output multipliers vector - * @param[in] output_shifts_ptr Pointer to the output shifts vector. Supported data types: S32 - * @param[in] output_shifts_stride_x Stride of the output shifts vector in X dimension (in bytes) - * @param[in] output_shifts_step_x output_shifts_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_shifts_offset_first_element_in_bytes The offset of the first element in the output shifts vector - * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: S32 - * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) - * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector - * @param[in] max_offset The maximum allowed offset for the input tensor - */ -__kernel void dwc_3x3_reshaped_quantized8_dot8_stride1_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR4D_DECLARATION(dst), - IMAGE_DECLARATION(weights), - VECTOR_DECLARATION(output_multipliers), - VECTOR_DECLARATION(output_shifts), -#if defined(HAS_BIAS) - VECTOR_DECLARATION(biases), -#endif // defined(HAS_BIAS) - int max_offset) -{ - int x = get_global_id(0); - int y = get_global_id(1); -#if defined(DST_DEPTH) - int z = get_global_id(2) % (int)DST_DEPTH; // spatial coordinate y - int b = get_global_id(2) / (int)DST_DEPTH; // batch -#else // defined(DST_DEPTH) - int z = get_global_id(2); // spatial coordinate y -#endif // defined(DST_DEPTH) - - __global uchar *weights_addr = weights_ptr + weights_offset_first_element_in_bytes + x * weights_stride_y; - -#if defined(DST_DEPTH) - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * VEC_SIZE + b * src_stride_w; -#else /* defined(DST_DEPTH) */ - __global uchar *src_addr = src_ptr + src_offset_first_element_in_bytes + x * VEC_SIZE; -#endif /* defined(DST_DEPTH) */ - - int z_coord = 0; - int4 offset = 0; - int4 y_coord = ((int4)(y * NUM_ROWS_PROCESSED) + (int4)(0, 1, 2, 3)) - (int)CONV_PAD_LEFT; - - // Only for y = 0 we can have a negative coordinate. If so, we convert it to SRC_DIM_1 - y_coord.s0 = min((uint)y_coord.s0, (uint)SRC_DIM_1); - y_coord.s1 = min((uint)y_coord.s1, (uint)SRC_DIM_1); - y_coord.s2 = min((uint)y_coord.s2, (uint)SRC_DIM_1); - y_coord.s3 = min((uint)y_coord.s3, (uint)SRC_DIM_1); - - int4 y_offset = convert_int4(y_coord * (int)src_stride_y); - - // We compute 4x2x1 [C,W,H] elements - VEC_INT acc0 = 0; - VEC_INT acc1 = 0; - VEC_INT sum0 = 0; - VEC_INT sum1 = 0; - - // Load weights - VEC_TYPE(16) - w0 = VLOAD(16)(0, (__global WEIGHTS_TYPE *)(weights_addr)); - VEC_TYPE(16) - w1 = VLOAD(16)(0, (__global WEIGHTS_TYPE *)(weights_addr + 16)); - VEC_TYPE(4) - w2 = VLOAD(4)(0, (__global WEIGHTS_TYPE *)(weights_addr + 32)); - -#if INPUT_OFFSET != 0 - // Initilize the final result with the weights reduction multiplied by INPUT_OFFSET - DOT_PRODUCT_REDUCTION_WEIGHTS(acc0.s0, w0.s01234567, w0.s8); - DOT_PRODUCT_REDUCTION_WEIGHTS(acc0.s1, (VEC_TYPE(8))((w0.s9ABC), (w0.sDEF), w1.s0), w1.s1); - DOT_PRODUCT_REDUCTION_WEIGHTS(acc0.s2, w1.s23456789, w1.sA); - DOT_PRODUCT_REDUCTION_WEIGHTS(acc0.s3, (VEC_TYPE(8))((w1.sBCD), (w1.sEF), (w2.s012)), w2.s3); - - // Multiply the weights reduction with INPUT_OFFSET - acc0 = INPUT_OFFSET * acc0; - - acc1 = acc0; -#endif // INPUT_OFFSET != 0 - - // Load input values - // z == 0 - // Clamp z_coord as for z = 0, it can be negative - // z_coord is casted to unsigned int in order to use just a min() operation - // A "-1" 32 bit signed variable converted to unsigned gives 4294967295 - z_coord = z - (int)CONV_PAD_TOP; - z_coord = min((uint)z_coord, (uint)SRC_DIM_2); - offset = y_offset + (int4)(z_coord * src_stride_z); - offset = min(offset, (int4)max_offset); - - VEC_TYPE(VEC_SIZE) - values0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values1 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values2 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - VEC_TYPE(VEC_SIZE) - values3 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); - - // z == 1 - // z_coord can be only negative for z = 0 so we do not need to clamp it - // Moreover z_coord cannot be out-of-bound for z = 1 so we do not need to clamp the offset - z_coord = z - (int)CONV_PAD_TOP + 1; - offset = y_offset + (int4)(z_coord * src_stride_z); - VEC_TYPE(VEC_SIZE) - values4 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values5 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values6 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - VEC_TYPE(VEC_SIZE) - values7 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); - - // z == 2 - // After z = 1 we can simply add src_stride_z to offset without updating z_coord - // However offset can be out-of-bound so we need to check if it is greater than max_offset - offset += (int4)src_stride_z; - offset = min(offset, (int4)max_offset); - VEC_TYPE(VEC_SIZE) - values8 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s0)); - VEC_TYPE(VEC_SIZE) - values9 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s1)); - VEC_TYPE(VEC_SIZE) - values10 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s2)); - VEC_TYPE(VEC_SIZE) - values11 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(src_addr + offset.s3)); - - DOT_PRODUCT_REDUCTION(sum0.s0, values0.s0, values1.s0, values2.s0, values4.s0, values5.s0, values6.s0, values8.s0, values9.s0, values10.s0); - DOT_PRODUCT_REDUCTION(sum1.s0, values1.s0, values2.s0, values3.s0, values5.s0, values6.s0, values7.s0, values9.s0, values10.s0, values11.s0); - DOT_PRODUCT(acc0.s0, values0.s0, values1.s0, values2.s0, values4.s0, values5.s0, values6.s0, values8.s0, values9.s0, values10.s0, w0.s01234567, w0.s8); - DOT_PRODUCT(acc1.s0, values1.s0, values2.s0, values3.s0, values5.s0, values6.s0, values7.s0, values9.s0, values10.s0, values11.s0, w0.s01234567, w0.s8); - - DOT_PRODUCT_REDUCTION(sum0.s1, values0.s1, values1.s1, values2.s1, values4.s1, values5.s1, values6.s1, values8.s1, values9.s1, values10.s1); - DOT_PRODUCT_REDUCTION(sum1.s1, values1.s1, values2.s1, values3.s1, values5.s1, values6.s1, values7.s1, values9.s1, values10.s1, values11.s1); - DOT_PRODUCT(acc0.s1, values0.s1, values1.s1, values2.s1, values4.s1, values5.s1, values6.s1, values8.s1, values9.s1, values10.s1, (VEC_TYPE(8))((w0.s9ABC), (w0.sDEF), w1.s0), w1.s1); - DOT_PRODUCT(acc1.s1, values1.s1, values2.s1, values3.s1, values5.s1, values6.s1, values7.s1, values9.s1, values10.s1, values11.s1, (VEC_TYPE(8))((w0.s9ABC), (w0.sDEF), w1.s0), w1.s1); - - DOT_PRODUCT_REDUCTION(sum0.s2, values0.s2, values1.s2, values2.s2, values4.s2, values5.s2, values6.s2, values8.s2, values9.s2, values10.s2); - DOT_PRODUCT_REDUCTION(sum1.s2, values1.s2, values2.s2, values3.s2, values5.s2, values6.s2, values7.s2, values9.s2, values10.s2, values11.s2); - DOT_PRODUCT(acc0.s2, values0.s2, values1.s2, values2.s2, values4.s2, values5.s2, values6.s2, values8.s2, values9.s2, values10.s2, w1.s23456789, w1.sA); - DOT_PRODUCT(acc1.s2, values1.s2, values2.s2, values3.s2, values5.s2, values6.s2, values7.s2, values9.s2, values10.s2, values11.s2, w1.s23456789, w1.sA); - - DOT_PRODUCT_REDUCTION(sum0.s3, values0.s3, values1.s3, values2.s3, values4.s3, values5.s3, values6.s3, values8.s3, values9.s3, values10.s3); - DOT_PRODUCT_REDUCTION(sum1.s3, values1.s3, values2.s3, values3.s3, values5.s3, values6.s3, values7.s3, values9.s3, values10.s3, values11.s3); - DOT_PRODUCT(acc0.s3, values0.s3, values1.s3, values2.s3, values4.s3, values5.s3, values6.s3, values8.s3, values9.s3, values10.s3, (VEC_TYPE(8))((w1.sBCD), (w1.sEF), (w2.s012)), w2.s3); - DOT_PRODUCT(acc1.s3, values1.s3, values2.s3, values3.s3, values5.s3, values6.s3, values7.s3, values9.s3, values10.s3, values11.s3, (VEC_TYPE(8))((w1.sBCD), (w1.sEF), (w2.s012)), w2.s3); - -#if defined(HAS_BIAS) - Vector biases = CONVERT_TO_VECTOR_STRUCT(biases); - - VEC_INT bias_values = VLOAD(VEC_SIZE)(0, (__global int *)biases.ptr); - - acc0 += bias_values; - acc1 += bias_values; - -#endif // defined(HAS_BIAS) - -#if WEIGHTS_OFFSET != 0 - acc0 += WEIGHTS_OFFSET * sum0; - acc1 += WEIGHTS_OFFSET * sum1; -#endif // WEIGHTS_OFFSET != 0 - -#if K_OFFSET != 0 - acc0 += (VEC_INT)K_OFFSET; - acc1 += (VEC_INT)K_OFFSET; - -#endif // K_OFFSET != 0 - -#if defined(REAL_MULTIPLIER) - - acc0 = CONVERT(round(CONVERT(acc0, VEC_FLOAT) * (VEC_FLOAT)REAL_MULTIPLIER), VEC_INT); - acc1 = CONVERT(round(CONVERT(acc1, VEC_FLOAT) * (VEC_FLOAT)REAL_MULTIPLIER), VEC_INT); - -#else // defined(REAL_MULTIPLIER) - -#if OUTPUT_SHIFT < 0 - acc0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc0, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, VEC_SIZE); - acc1 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(acc1, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, VEC_SIZE); -#else // OUTPUT_SHIFT < 0 - acc0 = asymm_mult_by_quant_multiplier_less_than_one(acc0, OUTPUT_MULTIPLIER, OUTPUT_SHIFT); - acc1 = asymm_mult_by_quant_multiplier_less_than_one(acc1, OUTPUT_MULTIPLIER, OUTPUT_SHIFT); -#endif // OUTPUT_SHIFT < 0 - -#endif // defined(REAL_MULTIPLIER) - acc0 += (VEC_INT)OUTPUT_OFFSET; - acc1 += (VEC_INT)OUTPUT_OFFSET; - - VEC_TYPE(VEC_SIZE) - res0 = CONVERT_SAT(acc0, VEC_TYPE(VEC_SIZE)); - VEC_TYPE(VEC_SIZE) - res1 = CONVERT_SAT(acc1, VEC_TYPE(VEC_SIZE)); - -#if defined(DST_DEPTH) - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z + b * dst_stride_w; -#else /* defined(DST_DEPTH) */ - __global uchar *dst_addr = dst_ptr + dst_offset_first_element_in_bytes + x * dst_step_x + y * dst_step_y + z * dst_step_z; -#endif /* defined(DST_DEPTH) */ - - VSTORE(VEC_SIZE) - (ACTIVATION_FUNC(res0), 0, (__global DATA_TYPE *)(dst_addr + 0 * dst_stride_y)); - VSTORE(VEC_SIZE) - (ACTIVATION_FUNC(res1), 0, (__global DATA_TYPE *)(dst_addr + 1 * dst_stride_y)); -} -#endif // defined(ARM_COMPUTE_OPENCL_DOT8_ENABLED) && defined(cl_arm_integer_dot_product_int8) && VEC_SIZE==4 - -#endif // defined(NUM_ROWS_PROCESSED) && defined(NUM_PLANES_PROCESSED) - -#endif // defined(VEC_SIZE) && defined(SRC_DIM_1) && defined(SRC_DIM_2) && defined(CONV_PAD_TOP) && defined(CONV_PAD_LEFT) - -#endif // defined(WEIGHTS_PROMOTED_TYPE) - -#endif // defined(WEIGHTS_OFFSET) && defined(INPUT_OFFSET) && defined(K_OFFSET) && ((defined(OUTPUT_OFFSET) && defined(OUTPUT_MULTIPLIER) && defined(OUTPUT_SHIFT)) || defined(REAL_MULTIPLIER)) - -#if defined(SRC_DIM1) && defined(SRC_DIM2) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defined(N0) && defined(DILATION_X) && defined(DILATION_Y) && defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y) && defined(CONV_PAD_LEFT) && defined(CONV_PAD_TOP) && defined(INPUT_OFFSET) && defined(WEIGHTS_OFFSET) && defined(OUTPUT_OFFSET) && defined(OUTPUT_SHIFT) && defined(OUTPUT_MULTIPLIER) && defined(VEC_SIZE_LEFTOVER) -/** This function computes the depthwise convolution for NHWC data layout. This kernel assumes that the weights tensor is NOT reshaped - * - * @note The number of elements processed must be passed at compile time using -DN0 (e.g. -DN0=2) - * @note The depth multiplier must be passed at compile time using -DDEPTH_MULTIPLIER (e.g. -DDEPTH_MULTIPLIER=1) - * @note The first dimension of the input tensor must be passed at compile time using -DSRC_DIM1 (e.g. -DSRC_DIM1=112) - * @note The second dimension of the input tensor must be passed at compile time using -DSRC_DIM2 (e.g. -DSRC_DIM2=80) - * @note The kernel width must be passed at compile time using -DKERNEL_WIDTH (e.g. -DKERNEL_WIDTH=5) - * @note The kernel height must be passed at compile time using -DKERNEL_HEIGHT (e.g. -DKERNEL_HEIGHT=5) - * @note The convolution pad top must be passed at compile time using -DCONV_PAD_TOP (e.g. -DCONV_PAD_TOP=1) - * @note The convolution pad top must be passed at compile time using -DCONV_PAD_LEFT (e.g. -DCONV_PAD_LEFT=1) - * @note The convolution stride along the width must be passed at compile time using -DCONV_STRIDE_X (e.g. -DCONV_STRIDE_Y=X) - * @note The convolution stride along the height must be passed at compile time using -DCONV_STRIDE_Y (e.g. -DCONV_STRIDE_Y=1) - * @note Leftover vector size has to be passed at compile time using -DVEC_SIZE_LEFTOVER. e.g. -DVEC_SIZE=3. It is defined as the remainder between the input's first dimension and VEC_SIZE - * @note It is possible to select the activation function to apply using -DACTIVATION_TYPE e.g. -DACTIVATION_TYPE=relu - * @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED - * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) - * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) - * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] src_step_z src_stride_y * number of elements along Z processed per workitem(in bytes) - * @param[in] src_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] src_step_w src_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] dst_step_z dst_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] dst_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] dst_step_w dst_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor - * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL - * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) - * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) - * @param[in] weights_step_y weights_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) - * @param[in] weights_step_z weights_stride_z * number of elements along Y processed per workitem(in bytes) - * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor - * @param[in] output_multipliers_ptr Pointer to the output multipliers vector. Supported data types: S32 - * @param[in] output_multipliers_stride_x Stride of the output multipliers vector in X dimension (in bytes) - * @param[in] output_multipliers_step_x output_multipliers_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_multipliers_offset_first_element_in_bytes The offset of the first element in the output multipliers vector - * @param[in] output_shifts_ptr Pointer to the output shifts vector. Supported data types: S32 - * @param[in] output_shifts_stride_x Stride of the output shifts vector in X dimension (in bytes) - * @param[in] output_shifts_step_x output_shifts_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_shifts_offset_first_element_in_bytes The offset of the first element in the output shifts vector - * @param[in] biases_ptr (Optional) Pointer to the biases vector. Supported data types: S32 - * @param[in] biases_stride_x (Optional) Stride of the biases vector in X dimension (in bytes) - * @param[in] biases_step_x (Optional) biases_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] biases_offset_first_element_in_bytes (Optional) The offset of the first element in the biases vector - */ -__kernel void dwc_MxN_native_quantized8_nhwc( - TENSOR4D_DECLARATION(src), - TENSOR4D_DECLARATION(dst), - TENSOR3D_DECLARATION(weights), - VECTOR_DECLARATION(output_multipliers), - VECTOR_DECLARATION(output_shifts) -#if defined(HAS_BIAS) - , - VECTOR_DECLARATION(biases) -#endif // defined(HAS_BIAS) -) -{ - int x_offs = max((int)(get_global_id(0) * N0 - (N0 - VEC_SIZE_LEFTOVER) % N0), 0); - int y = get_global_id(1); // spatial coordinate x -#if defined(DST_DEPTH) - int z = get_global_id(2) % (int)DST_DEPTH; // spatial coordinate y - int b = get_global_id(2) / (int)DST_DEPTH; // batch -#else // defined(DST_DEPTH) - int z = get_global_id(2); // spatial coordinate y -#endif // defined(DST_DEPTH) - - __global uchar *s_addr = src_ptr + src_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE); - - __global uchar *d_addr = dst_ptr + dst_offset_first_element_in_bytes + x_offs * sizeof(DATA_TYPE) * (int)DEPTH_MULTIPLIER + y * dst_stride_y + z * dst_stride_z; - - __global uchar *w_addr = weights_ptr + weights_offset_first_element_in_bytes + x_offs * sizeof(WEIGHTS_TYPE) * (int)DEPTH_MULTIPLIER; - -#if defined(HAS_BIAS) - __global uchar *b_addr = biases_ptr + biases_offset_first_element_in_bytes + x_offs * sizeof(int) * (int)DEPTH_MULTIPLIER; -#endif // defined(HAS_BIAS) - -#if defined(PER_CHANNEL_QUANTIZATION) - __global uchar *out_mul_addr = output_multipliers_ptr + output_multipliers_offset_first_element_in_bytes + x_offs * sizeof(int) * (int)DEPTH_MULTIPLIER; - __global uchar *out_shift_addr = output_shifts_ptr + output_shifts_offset_first_element_in_bytes + x_offs * sizeof(int) * (int)DEPTH_MULTIPLIER; -#endif // defined(PER_CHANNEL_QUANTIZATION) - -#if defined(DST_DEPTH) - s_addr += b * src_stride_w; - d_addr += b * dst_stride_w; -#endif // defined(DST_DEPTH) - -#if DEPTH_MULTIPLIER > 1 - for(int d = 0; d < (int)DEPTH_MULTIPLIER; ++d) - { -#endif // DEPTH_MULTIPLIER > 1 - // Each work-item computes N0x1x1 elements - VEC_INT res = 0; - - int x_coord = y * CONV_STRIDE_X - (int)CONV_PAD_LEFT; - int y_coord = z * CONV_STRIDE_Y - (int)CONV_PAD_TOP; - - for(int yk = 0; yk < KERNEL_HEIGHT; ++yk) - { - if(y_coord >= 0 && y_coord < SRC_DIM2) - { - int x_coord_tmp = x_coord; - - for(int xk = 0; xk < KERNEL_WIDTH; ++xk) - { - if(x_coord_tmp >= 0 && x_coord_tmp < SRC_DIM1) - { - int s_offset = x_coord_tmp * (int)src_stride_y + y_coord * (int)src_stride_z; - int w_offset = xk * weights_stride_y + yk * weights_stride_z; - - // Load input and weights values - VEC_INT i = CONVERT(VLOAD(N0)(0, (__global DATA_TYPE *)(s_addr + s_offset)), VEC_INT); - VEC_INT w = CONVERT(VLOAD(N0)(0, (__global WEIGHTS_TYPE *)(w_addr + w_offset)), VEC_INT); - - res += (i + (VEC_INT)INPUT_OFFSET) * (w + (VEC_INT)WEIGHTS_OFFSET); - } - x_coord_tmp += DILATION_X; - } - } - y_coord += DILATION_Y; - } - -#if defined(HAS_BIAS) - VEC_INT bias = VLOAD(N0)(0, (__global int *)(b_addr)); - res += bias; -#endif // defined(HAS_BIAS) - -#if defined(PER_CHANNEL_QUANTIZATION) - VEC_INT output_multiplier = VLOAD(N0)(0, (__global int *)(out_mul_addr)); - VEC_INT output_shift = VLOAD(N0)(0, (__global int *)(out_shift_addr)); - - VEC_INT res_shift_lt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(res, output_multiplier, output_shift, N0); - VEC_INT res_shift_gt0 = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(res, output_multiplier, output_shift, N0); - res = select(res_shift_lt0, res_shift_gt0, (VEC_INT)(output_shift) >= 0); -#else // defined(PER_CHANNEL_QUANTIZATION) -#if OUTPUT_SHIFT < 0 - res = ASYMM_MULT_BY_QUANT_MULTIPLIER_GREATER_THAN_ONE(res, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, N0); -#else // OUTPUT_SHIFT < 0 - res = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(res, OUTPUT_MULTIPLIER, OUTPUT_SHIFT, N0); -#endif // OUTPUT_OFFSET < 0 -#endif // defined(PER_CHANNEL_QUANTIZATION) - - res += (VEC_INT)OUTPUT_OFFSET; - - VEC_TYPE(VEC_SIZE) - res0 = CONVERT_SAT(res, VEC_TYPE(VEC_SIZE)); - res0 = ACTIVATION_FUNC(res0); - - STORE_VECTOR_SELECT(res, DATA_TYPE, d_addr, N0, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0) - -#if DEPTH_MULTIPLIER > 1 - w_addr += sizeof(WEIGHTS_TYPE); - d_addr += sizeof(DATA_TYPE); -#if defined(PER_CHANNEL_QUANTIZATION) - out_mul_addr += sizeof(int); - out_shift_addr += sizeof(int); -#endif // defined(PER_CHANNEL_QUANTIZATION) -#if defined(HAS_BIAS) - b_addr += sizeof(int); -#endif // defined(HAS_BIAS) - } -#endif // DEPTH_MULTIPLIER > 1 -} -#endif // defined(SRC_DIM1) && defined(SRC_DIM2) && defined(KERNEL_WIDTH) && defined(KERNEL_HEIGHT) && defiend(N0) && defined(DILATION_X) && defined(DILATION_Y) && defined(CONV_STRIDE_X) && defined(CONV_STRIDE_Y) && defined(CONV_PAD_LEFT) && defined(CONV_PAD_TOP) && defined(INPUT_OFFSET) && defined(WEIGHTS_OFFSET) && defined(OUTPUT_OFFSET) && defined(OUTPUT_SHIFT) && defined(OUTPUT_MULTIPLIER) && defined(VEC_SIZE_LEFTOVER) -#endif // defined(DATA_TYPE) && defined(WEIGHTS_TYPE) |