From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Mon, 4 Sep 2017 18:44:23 +0100 Subject: COMPMID-344 Updated doxygen Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae --- src/core/CL/cl_kernels/pooling_layer.cl | 159 ++++++++++++++++++++++++++++++++ 1 file changed, 159 insertions(+) create mode 100644 src/core/CL/cl_kernels/pooling_layer.cl (limited to 'src/core/CL/cl_kernels/pooling_layer.cl') diff --git a/src/core/CL/cl_kernels/pooling_layer.cl b/src/core/CL/cl_kernels/pooling_layer.cl new file mode 100644 index 0000000000..1902df9b7d --- /dev/null +++ b/src/core/CL/cl_kernels/pooling_layer.cl @@ -0,0 +1,159 @@ +/* + * Copyright (c) 2017 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 POOL_AVG +#define POOL_OP(x, y) ((x) + (y)) +#else +#define POOL_OP(x, y) (fmax((x), (y))) +#endif + +float calculate_avg_scale(const int pool_size, 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; + int end_x = min(start_x + pool_size, upper_bound_w); + int end_y = min(start_y + pool_size, upper_bound_h); + return 1.f / ((end_y - start_y) * (end_x - start_x)); +} + +/** Performs a pooling function of pool size equal to 2. + * + * @note Pooling stride must be passed using -DPOOL_STRIDE e.g -DPOOL_STRIDE=2. Supported strides are 1,2,3 + * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16, F32; + * @note In case of average pooling -DPOOL_AVG must be provided otherwise max pooling will be performed. + * + * @param[in] input_ptr Pointer to the source image. Supported data types: F16, F32 + * @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: F16, F32 + * @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 + * @param[in] max_dims The maximum index that can be accessed in x and y dimension (width + pad) + * @param[in] strides The pooling operation strides in each dimension + * @param[in] paddings The pooling operation paddings in each dimension + */ +__kernel void pooling_layer_2( + TENSOR3D_DECLARATION(input), + TENSOR3D_DECLARATION(output) +#ifdef POOL_AVG + , + int2 max_dims, int2 strides, int2 paddings +#endif +) +{ + // Get pixels pointer + Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); + Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); + + // Load data + VEC_DATA_TYPE(DATA_TYPE, 2) + data0 = vload2(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 0, 0)); + VEC_DATA_TYPE(DATA_TYPE, 2) + data1 = vload2(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 1, 0)); + + // Perform calculations + data0 = POOL_OP(data0, data1); + DATA_TYPE res = POOL_OP(data0.s0, data0.s1); + + // Divide by 4 in case of average pooling +#ifdef POOL_AVG + res *= calculate_avg_scale(2, max_dims.x, max_dims.y, paddings.x, paddings.y, strides.x, strides.y); +#endif + + // Store result + *(__global DATA_TYPE *)output.ptr = res; +} + +/** Performs a pooling function of pool size equal to 3. + * + * @note Pooling stride must be passed using -DPOOL_STRIDE e.g -DPOOL_STRIDE=2. Supported strides are 1,2,3 + * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16, F32; + * @note In case of average pooling -DPOOL_AVG must be provided otherwise max pooling will be performed. + * + * @param[in] input_ptr Pointer to the source image. Supported data types: F16, F32 + * @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: F16, F32 + * @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 + * @param[in] max_dims The maximum index that can be accessed in x and y dimension (width + pad) + * @param[in] strides The pooling operation strides in each dimension + * @param[in] paddings The pooling operation paddings in each dimension + */ +__kernel void pooling_layer_3( + TENSOR3D_DECLARATION(input), + TENSOR3D_DECLARATION(output) +#ifdef POOL_AVG + , + int2 max_dims, int2 strides, int2 paddings +#endif +) +{ + // Get pixels pointer + Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); + Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); + + // Load data + VEC_DATA_TYPE(DATA_TYPE, 3) + data0 = vload3(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 0, 0)); + VEC_DATA_TYPE(DATA_TYPE, 3) + data1 = vload3(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 1, 0)); + VEC_DATA_TYPE(DATA_TYPE, 3) + data2 = vload3(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 2, 0)); + + // Perform calculations + data0 = POOL_OP(data0, data1); + data0 = POOL_OP(data0, data2); + DATA_TYPE res = POOL_OP(POOL_OP(data0.s0, data0.s1), data0.s2); + + // Divide by 4 in case of average pooling +#ifdef POOL_AVG + res *= calculate_avg_scale(3, max_dims.x, max_dims.y, paddings.x, paddings.y, strides.x, strides.y); +#endif + + // Store result + *(__global DATA_TYPE *)output.ptr = res; +} -- cgit v1.2.1