diff options
Diffstat (limited to 'src/core/CL/cl_kernels/pooling_layer_quantized.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/pooling_layer_quantized.cl | 265 |
1 files changed, 0 insertions, 265 deletions
diff --git a/src/core/CL/cl_kernels/pooling_layer_quantized.cl b/src/core/CL/cl_kernels/pooling_layer_quantized.cl deleted file mode 100644 index 3a370eea93..0000000000 --- a/src/core/CL/cl_kernels/pooling_layer_quantized.cl +++ /dev/null @@ -1,265 +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.h" - -#if defined(DATA_TYPE) && defined(INITIAL_VALUE) -#define VEC_TYPE(VEC_SIZE) VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) - -#if defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) -#define VEC_FLOAT(VEC_SIZE) VEC_DATA_TYPE(float, VEC_SIZE) -#define VEC_INT(VEC_SIZE) VEC_DATA_TYPE(int, VEC_SIZE) -#define CONVERT_RTE(x, type) (convert_##type##_rte((x))) -#define CONVERT_DOWN(x, type) CONVERT_RTE(x, type) -#define REQUANTIZE(VEC_SIZE, input, in_offset, out_offset, in_scale, out_scale, res) \ - { \ - const VEC_FLOAT(VEC_SIZE) in_f32 = (CONVERT(input, VEC_FLOAT(VEC_SIZE)) - (VEC_FLOAT(VEC_SIZE))((float)in_offset)) * (VEC_FLOAT(VEC_SIZE))((float)in_scale); \ - const VEC_FLOAT(VEC_SIZE) out_f32 = in_f32 / ((VEC_FLOAT(VEC_SIZE))(float)out_scale) + ((VEC_FLOAT(VEC_SIZE))((float)out_offset)); \ - res = CONVERT_SAT(CONVERT_DOWN(out_f32, VEC_INT(VEC_SIZE)), VEC_TYPE(VEC_SIZE)); \ - } -#endif /* defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) */ - -#if defined(POOL_AVG) -#define POOL_OP(x, y) ((x) + (y)) -#else /* defined(POOL_AVG) */ -#define POOL_OP(x, y) (max((x), (y))) -#endif /* defined(POOL_AVG) */ - -#define DIV_OP(x, y) (x * (1.f / y)) - -#define DIV_OP_NHWC(x, y) (convert_float8(x) * (float8)(1.f / y)) - -#if defined(POOL_L2) -#error "L2 pooling is not supported" -#endif /* defined(POOL_L2) */ - -int calculate_avg_scale(const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, - const int pad_x, const int pad_y, const int stride_x, const int stride_y) -{ - int start_x = get_global_id(0) * stride_x - pad_x; - int start_y = get_global_id(1) * stride_y - pad_y; - const int end_x = min(start_x + pool_size_x, upper_bound_w); - const int end_y = min(start_y + pool_size_y, upper_bound_h); -#if defined(EXCLUDE_PADDING) - start_x = max(0, start_x); - start_y = max(0, start_y); -#endif /* defined(EXCLUDE_PADDING) */ - return ((end_y - start_y) * (end_x - start_x)); -} - -/** Performs a pooling function of pool size equal to N (NCHW) - * - * @note Pool sizes must be passed using -DPOOL_SIZE_X and -DPOOL_SIZE_Y e.g. -DPOOL_SIZE_X=13; - * @note In case of average pooling the following information must be passed at compile time: - * -DPOOL_AVG must be provided otherwise max pooling will be performed. - * -DMAX_WIDTH and -DMAX_HEIGHT which are the maximum accessible indeces in x and y dimensions (width + pad) - * -DSTRIDE_X and -DSTRIDE_Y which are the steps of the window along the x and y directions - * -DPAD_X and -DPAD_Y which are the pooling paddings in x and y dimension - * @note Input data type must be passed at compile time using -DDAT_TYPE=type, e.g. -DDATA_TYPE=uchar - * @note The initial value for the pooling operation must be passed at compile time using -DINITIAL_VALUE e.g. -DINITIAL_VALUE=0 - * - * @param[in] input_ptr Pointer to the source image. Supported data types: QASYMM8/QASYMM8_SIGNED - * @param[in] input_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] input_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image - * @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr - * @param[in] output_stride_x Stride of the destination image in X dimension (in bytes) - * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes) - * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image - */ -__kernel void pooling_layer_MxN_quantized_nchw( - TENSOR3D_DECLARATION(input), - TENSOR3D_DECLARATION(output)) -{ - // Get pixels pointer - Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); - - int8 vdata = INITIAL_VALUE; - int sdata = INITIAL_VALUE; - - // Load data - for(int y = 0; y < POOL_SIZE_Y; y++) - { - int x = 0; - for(; x <= ((int)POOL_SIZE_X - 8); x += 8) - { - VEC_TYPE(8) - data = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, x, y, 0)); - int8 data0 = convert_int8(data); - vdata = POOL_OP(vdata, data0); - } - - // Leftover - for(; x < (int)POOL_SIZE_X; ++x) - { - DATA_TYPE data = *((__global DATA_TYPE *)tensor3D_offset(&input, x, y, 0)); - int data0 = convert_int(data); - sdata = POOL_OP(sdata, data0); - } - } - - // Reduce result - int4 reduce4 = POOL_OP(vdata.s0123, vdata.s4567); - int2 reduce2 = POOL_OP(reduce4.s01, reduce4.s23); - int res = POOL_OP(reduce2.s0, reduce2.s1); - res = POOL_OP(res, sdata); - -#if defined(POOL_AVG) - res = round(DIV_OP(res, calculate_avg_scale(POOL_SIZE_X, POOL_SIZE_Y, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y))); -#endif /* defined(POOL_AVG) */ - - DATA_TYPE result_q8 = CONVERT(res, DATA_TYPE); - -#if defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) - - const float result_f32 = convert_float(result_q8); - const float input_offset = (float)OFFSET_IN1; - const float input_scale = (float)SCALE_IN1; - const float scale_out = (float)SCALE_OUT; - const float offset_out = (float)OFFSET_OUT; - const float in_f32 = (result_f32 - input_offset) * input_scale; - const float out_f32 = in_f32 / scale_out + offset_out; - result_q8 = CONVERT_SAT(convert_int_rte(out_f32), DATA_TYPE); - -#endif /* defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) */ - - *(__global DATA_TYPE *)output.ptr = result_q8; -} - -int calculate_avg_scale_nhwc(const int pool_size_x, const int pool_size_y, int upper_bound_w, int upper_bound_h, - const int pad_x, const int pad_y, const int stride_x, const int stride_y) -{ - int start_x = get_global_id(1) * stride_x - pad_x; -#if defined(DST_DEPTH) - int start_y = (get_global_id(2) % DST_DEPTH) * stride_y - pad_y; -#else /* defined(DST_DEPTH) */ - int start_y = get_global_id(2) * stride_y - pad_y; -#endif /* defined(DST_DEPTH) */ - - const int end_x = min(start_x + pool_size_x, upper_bound_w); - const int end_y = min(start_y + pool_size_y, upper_bound_h); - - start_x = max(0, start_x); - start_y = max(0, start_y); - - return ((end_y - start_y) * (end_x - start_x)); -} - -/** Performs a pooling function of pool size equal to N (NHWC) - * - * @note Pool sizes must be passed using -DPOOL_SIZE_X and -DPOOL_SIZE_Y e.g. -DPOOL_SIZE_X=13; - * @note Tensors width and height must be passed at compile time using -DMAX_WIDTH and -DMAX_HEIGHT - * @note Strides must be passed at compile time using -DSTRIDE_X and -DSTRIDE_Y which are the steps of the window along the x and y directions - * @note Pad values must be passed at compile time using -DPAD_X and -DPAD_Y which are the pooling paddings in x and y dimension - * @note In case of average pooling the following information must be passed at compile time: - * -DPOOL_AVG must be provided otherwise max pooling will be performed. - * @note The initial value for the pooling operation must be passed at compile time using -DINITIAL_VALUE e.g. -DINITIAL_VALUE=0 - * - * @param[in] input_ptr Pointer to the source image. Supported data types: QASYMM8/QASYMM8_SIGNED - * @param[in] input_stride_x Stride of the source image in X dimension (in bytes) - * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] input_stride_y Stride of the source image in Y dimension (in bytes) - * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) - * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes) - * @param[in] input_step_w input_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image - * @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr - * @param[in] output_stride_x Stride of the destination tensor in X dimension (in bytes) - * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) - * @param[in] output_stride_y Stride of the destination tensor in Y dimension (in bytes) - * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) - * @param[in] output_stride_z Stride of the destination tensor in Z dimension (in bytes) - * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) - * @param[in] output_stride_w Stride of the destination tensor in W dimension (in bytes) - * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes) - * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image - */ -__kernel void pooling_layer_MxN_quantized_nhwc( - TENSOR4D_DECLARATION(input), - TENSOR4D_DECLARATION(output)) -{ - // Get pixels pointer -#if defined(DST_DEPTH) - Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT(input, DST_DEPTH); - Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, DST_DEPTH); -#else /* defined(DST_DEPTH) */ - Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); -#endif /* defined(DST_DEPTH) */ - - int8 vdata = INITIAL_VALUE; - - const int idx_width = get_global_id(1) * STRIDE_X; -#if defined(DST_DEPTH) - const int idx_height = (get_global_id(2) % DST_DEPTH) * STRIDE_Y; -#else /* defined(DST_DEPTH) */ - const int idx_height = get_global_id(2) * STRIDE_Y; -#endif /* defined(DST_DEPTH) */ - - for(int y = 0; y < POOL_SIZE_Y; ++y) - { - int y1 = select(y, PAD_Y - idx_height, y + idx_height - PAD_Y < 0 || y + idx_height - PAD_Y >= MAX_HEIGHT); - for(int x = 0; x < POOL_SIZE_X; ++x) - { - int x1 = select(x, PAD_X - idx_width - 1, x + idx_width - PAD_X < 0 || x + idx_width - PAD_X >= MAX_WIDTH); - x1 = select(x1, PAD_X - idx_width - 1, y != y1); - -#if defined(DST_DEPTH) - VEC_TYPE(8) - data = vload8(0, (__global DATA_TYPE *)tensor4D_offset(&input, 0, x1 - PAD_X, y1 - PAD_Y, 0)); -#else /* defined(DST_DEPTH) */ - VEC_TYPE(8) - data = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, x1 - PAD_X, y1 - PAD_Y)); -#endif /* defined(DST_DEPTH) */ - - int8 data0 = convert_int8(data); - vdata = POOL_OP(vdata, data0); - } - } - -#if defined(POOL_AVG) - // Divide by pool region in case of average pooling - vdata = convert_int8(round(DIV_OP_NHWC(vdata, calculate_avg_scale_nhwc(POOL_SIZE_X, POOL_SIZE_Y, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y)))); -#endif /* defined(POOL_AVG) */ - - VEC_TYPE(8) - out_q8 = CONVERT(vdata, VEC_TYPE(8)); -#if defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) - REQUANTIZE(8, out_q8, OFFSET_IN1, OFFSET_OUT, SCALE_IN1, SCALE_OUT, out_q8); -#endif /* defined(OFFSET_IN1) && defined(OFFSET_OUT) && defined(SCALE_IN1) && defined(SCALE_OUT) */ - - // Store result - vstore8(out_q8, 0, (__global DATA_TYPE *)output.ptr); -} -#endif /* defined(DATA_TYPE) && defined(INITIAL_VALUE) */ |