| /* |
| * Copyright (c) 2017-2018 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" |
| |
| #if defined(CONV_STRIDE_X) |
| |
| #if CONV_STRIDE_X == 1 |
| #define convolution1x3 convolution1x3_stride_1 |
| #elif CONV_STRIDE_X == 2 |
| #define convolution1x3 convolution1x3_stride_2 |
| #elif CONV_STRIDE_X == 3 |
| #define convolution1x3 convolution1x3_stride_3 |
| #else /* CONV_STRIDE_X */ |
| #error "Stride not supported" |
| #endif /* CONV_STRIDE_X */ |
| |
| /** Compute a 1D horizontal convolution of size 3 and stride 1 for uchar type. |
| * |
| * @param[in] left_pixel Pointer to the left pixel. |
| * @param[in] left_coeff Weight of the left pixel |
| * @param[in] middle_coeff Weight of the middle pixel |
| * @param[in] right_coeff Weight of the right pixel |
| * @param[in] input_offset Quantized offset of zero point of the input tensor data range |
| * @param[in] weight_offset Quantized offset of zero point of the weights tensor data range |
| * |
| * @return a int8 containing 8 convoluted values. |
| */ |
| inline int8 convolution1x3_stride_1(__global const uchar *left_pixel, |
| const int left_coeff, |
| const int middle_coeff, |
| const int right_coeff, |
| const int input_offset, |
| const int weight_offset) |
| { |
| int8 temp0 = CONVERT(vload8(0, left_pixel), int8); |
| int2 temp1 = CONVERT(vload2(0, (left_pixel + 8 * sizeof(uchar))), int2); |
| |
| int8 left = CONVERT(temp0.s01234567, int8); |
| int8 middle = CONVERT((int8)(temp0.s1234, temp0.s567, temp1.s0), int8); |
| int8 right = CONVERT((int8)(temp0.s2345, temp0.s67, temp1.s01), int8); |
| |
| return (left + input_offset) * (int8)(left_coeff + weight_offset) + (middle + input_offset) * (int8)(middle_coeff + weight_offset) + (right + input_offset) * (int8)(right_coeff + weight_offset); |
| } |
| |
| /** Compute a 1D horizontal convolution of size 3 and stride 2 for uchar type. |
| * |
| * @param[in] left_pixel Pointer to the left pixel. |
| * @param[in] left_coeff Weight of the left pixel |
| * @param[in] middle_coeff Weight of the middle pixel |
| * @param[in] right_coeff Weight of the right pixel |
| * @param[in] input_offset Quantized offset of zero point of the input tensor data range |
| * @param[in] weight_offset Quantized offset of zero point of the weights tensor data range |
| * |
| * @return a int8 containing 8 convoluted values. |
| */ |
| inline int8 convolution1x3_stride_2(__global const uchar *left_pixel, |
| const int left_coeff, |
| const int middle_coeff, |
| const int right_coeff, |
| const int input_offset, |
| const int weight_offset) |
| { |
| int16 temp0 = CONVERT(vload16(0, left_pixel), int16); |
| int temp1 = CONVERT(*(left_pixel + 16 * sizeof(uchar)), int); |
| |
| int8 left = CONVERT(temp0.s02468ace, int8); |
| int8 middle = CONVERT(temp0.s13579bdf, int8); |
| int8 right = CONVERT((int8)(temp0.s2468, temp0.sace, temp1), int8); |
| |
| return (left + input_offset) * (int8)(left_coeff + weight_offset) + (middle + input_offset) * (int8)(middle_coeff + weight_offset) + (right + input_offset) * (int8)(right_coeff + weight_offset); |
| } |
| |
| /** Compute a 1D horizontal convolution of size 3 and stride 3 for uchar type. |
| * |
| * @param[in] left_pixel Pointer to the left pixel. |
| * @param[in] left_coeff Weight of the left pixel |
| * @param[in] middle_coeff Weight of the middle pixel |
| * @param[in] right_coeff Weight of the right pixel |
| * @param[in] input_offset Quantized offset of zero point of the input tensor data range |
| * @param[in] weight_offset Quantized offset of zero point of the weights tensor data range |
| * |
| * @return a int8 containing 8 convoluted values. |
| */ |
| inline int8 convolution1x3_stride_3(__global const uchar *left_pixel, |
| const int left_coeff, |
| const int middle_coeff, |
| const int right_coeff, |
| const int input_offset, |
| const int weight_offset) |
| { |
| int16 temp0 = CONVERT(vload16(0, left_pixel), int16); |
| int8 temp1 = CONVERT(vload8(0, (left_pixel + 16 * sizeof(uchar))), int8); |
| |
| int8 left = CONVERT((int8)(temp0.s0369, temp0.scf, temp1.s25), int8); |
| int8 middle = CONVERT((int8)(temp0.s147a, temp0.sd, temp1.s036), int8); |
| int8 right = CONVERT((int8)(temp0.s258b, temp0.se, temp1.s147), int8); |
| |
| return (left + input_offset) * (int8)(left_coeff + weight_offset) + (middle + input_offset) * (int8)(middle_coeff + weight_offset) + (right + input_offset) * (int8)(right_coeff + weight_offset); |
| } |
| |
| /** Apply a 3x3 convolution matrix to a single channel QASYMM8 input image and return the result. |
| * |
| * Convolution matrix layout: |
| * |
| * [ mat0, mat1, mat2 ]\n |
| * [ mat3, mat4, mat5 ]\n |
| * [ mat6, mat7, mat8 ]\n |
| * |
| * @param[in] src A pointer to source Image structure |
| * @param[in] mat0 Coefficient from the convolution matrix |
| * @param[in] mat1 Coefficient from the convolution matrix |
| * @param[in] mat2 Coefficient from the convolution matrix |
| * @param[in] mat3 Coefficient from the convolution matrix |
| * @param[in] mat4 Coefficient from the convolution matrix |
| * @param[in] mat5 Coefficient from the convolution matrix |
| * @param[in] mat6 Coefficient from the convolution matrix |
| * @param[in] mat7 Coefficient from the convolution matrix |
| * @param[in] mat8 Coefficient from the convolution matrix |
| * @param[in] input_offset Quantized offset of zero point of the input tensor data range |
| * @param[in] weight_offset Quantized offset of zero point of the weights tensor data range |
| * @param[in] output_offset Quantized offset of zero point of the output tensor data range |
| * @param[in] output_multiplier Output scale multiplier |
| * @param[in] output_shift Output scale divisor exponent |
| * @param[in] bias (Optional) Bias value |
| * |
| * @return a uchar8 containing 8 convoluted values. |
| */ |
| inline uchar8 convolution3x3( |
| Image *src, |
| const uchar mat0, const uchar mat1, const uchar mat2, |
| const uchar mat3, const uchar mat4, const uchar mat5, |
| const uchar mat6, const uchar mat7, const uchar mat8, |
| const int input_offset, const int weight_offset, const int output_offset, |
| const int output_multiplier, const int output_shift |
| #if defined(HAS_BIAS) |
| , |
| const int bias |
| #endif //defined(HAS_BIAS) |
| ) |
| { |
| int8 pixels; |
| |
| pixels = convolution1x3(offset(src, 0, 0), mat0, mat1, mat2, input_offset, weight_offset); |
| pixels += convolution1x3(offset(src, 0, 1), mat3, mat4, mat5, input_offset, weight_offset); |
| pixels += convolution1x3(offset(src, 0, 2), mat6, mat7, mat8, input_offset, weight_offset); |
| #if defined(HAS_BIAS) |
| pixels += (int8)(bias); |
| #endif //defined(HAS_BIAS) |
| |
| pixels = ASYMM_MULT_BY_QUANT_MULTIPLIER_LESS_THAN_ONE(pixels, output_multiplier, output_shift, 8); |
| pixels = pixels + output_offset; |
| |
| return CONVERT_SAT(pixels, uchar8); |
| } |
| |
| /** This function computes the horizontal integral of the image. |
| * |
| * @param[in] src_ptr Pointer to the source image. Supported data types: QASYMM8 |
| * @param[in] src_stride_x Stride of the source image 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 image 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_offset_first_element_in_bytes The offset of the first element in the source image |
| * @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] dst_ptr Pointer to the destination tensor. Supported data types: QASYMM8 |
| * @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 |
| * @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] biases_ptr (Optional) Pointer to the biases vector. Supported data types: QASYMM8 |
| * @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] input_offset Quantized offset of zero point of the input tensor data range |
| * @param[in] weight_offset Quantized offset of zero point of the weights tensor data range |
| * @param[in] output_offset Quantized offset of zero point of the output tensor data range |
| * @param[in] output_multiplier Output scale multiplier |
| * @param[in] output_shift Output scale divisor exponent |
| */ |
| |
| __kernel void depthwise_convolution_3x3_quantized( |
| TENSOR3D_DECLARATION(src), |
| TENSOR3D_DECLARATION(dst), |
| TENSOR3D_DECLARATION(weights), |
| #if defined(HAS_BIAS) |
| VECTOR_DECLARATION(biases), |
| #endif //defined(HAS_BIAS) |
| int input_offset, |
| int weight_offset, |
| int output_offset, |
| int output_multiplier, |
| int output_shift) |
| { |
| Image src = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(src); |
| Image dst = CONVERT_TENSOR3D_TO_IMAGE_STRUCT(dst); |
| Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT(weights); |
| #if defined(HAS_BIAS) |
| Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| #endif //defined(HAS_BIAS) |
| |
| uchar3 offset = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y; |
| uchar3 weights_values0 = vload3(0, weights.ptr + offset.s0); |
| uchar3 weights_values1 = vload3(0, weights.ptr + offset.s1); |
| uchar3 weights_values2 = vload3(0, weights.ptr + offset.s2); |
| |
| #if defined(HAS_BIAS) |
| int bias_value = *((__global int *)(vector_offset(&biases, get_global_id(2)))); |
| #endif //defined(HAS_BIAS) |
| |
| uchar8 pixels = convolution3x3(&src, weights_values0.s0, weights_values0.s1, weights_values0.s2, |
| weights_values1.s0, weights_values1.s1, weights_values1.s2, |
| weights_values2.s0, weights_values2.s1, weights_values2.s2, |
| input_offset, weight_offset, output_offset, |
| output_multiplier, output_shift |
| #if defined(HAS_BIAS) |
| , |
| bias_value |
| #endif //defined(HAS_BIAS) |
| ); |
| |
| vstore8(pixels, 0, dst.ptr); |
| } |
| |
| #endif //defined(CONV_STRIDE_X) |