diff options
Diffstat (limited to 'src/core/CL/cl_kernels')
-rw-r--r-- | src/core/CL/cl_kernels/pooling_layer.cl | 101 | ||||
-rw-r--r-- | src/core/CL/cl_kernels/pooling_layer_quantized.cl | 121 |
2 files changed, 123 insertions, 99 deletions
diff --git a/src/core/CL/cl_kernels/pooling_layer.cl b/src/core/CL/cl_kernels/pooling_layer.cl index 635c44a849..ee8ff27ab7 100644 --- a/src/core/CL/cl_kernels/pooling_layer.cl +++ b/src/core/CL/cl_kernels/pooling_layer.cl @@ -375,7 +375,7 @@ calculate_avg_scale4(const int pool_size, const int upper_bound_w, const int upp * @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_3_optimized( +__kernel void pooling_layer_optimized_3( TENSOR3D_DECLARATION(input), TENSOR3D_DECLARATION(output)) { @@ -403,103 +403,6 @@ __kernel void pooling_layer_3_optimized( } #endif // defined(POOLING3x3) && !defined(FIXED_POINT_POSITION) -/** Performs a pooling function of pool size equal to 7. - * - * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are QS8/QS16/F16/F32; - * @note In case of average pooling the following information must be passed at compile time: - * -DPOOL_AVG or -DPOOL_L2 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 - * - * @param[in] input_ptr Pointer to the source image. Supported data types: QS8/QS16/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: 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_7( - TENSOR3D_DECLARATION(input), - TENSOR3D_DECLARATION(output)) -{ - // Get pixels pointer - Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); - Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); - - // Load data - VEC_DATA_TYPE(DATA_TYPE, 8) - data0 = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 0, 0)); - VEC_DATA_TYPE(DATA_TYPE, 8) - data1 = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 1, 0)); - VEC_DATA_TYPE(DATA_TYPE, 8) - data2 = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 2, 0)); - VEC_DATA_TYPE(DATA_TYPE, 8) - data3 = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 3, 0)); - VEC_DATA_TYPE(DATA_TYPE, 8) - data4 = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 4, 0)); - VEC_DATA_TYPE(DATA_TYPE, 8) - data5 = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 5, 0)); - VEC_DATA_TYPE(DATA_TYPE, 8) - data6 = vload8(0, (__global DATA_TYPE *)tensor3D_offset(&input, 0, 6, 0)); - -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data0 = POW2_OP(data0, 8); - data1 = POW2_OP(data1, 8); - data2 = POW2_OP(data2, 8); - data3 = POW2_OP(data3, 8); - data4 = POW2_OP(data4, 8); - data5 = POW2_OP(data5, 8); - data6 = POW2_OP(data6, 8); -#endif /* defined(POOL_L2) */ - - // Pool operation of all rows - data0 = POOL_OP(data0, data1); - data2 = POOL_OP(data2, data3); - data4 = POOL_OP(data4, data5); - data0 = POOL_OP(data0, data2); - data4 = POOL_OP(data4, data6); - data0 = POOL_OP(data0, data4); - - // Set last element -#if defined(POOL_AVG) || defined(POOL_L2) - data0.s7 = 0; -#else /* defined(POOL_AVG) || defined(POOL_L2) */ - data0.s7 = data0.s6; -#endif /* defined(POOL_AVG) || defined(POOL_L2) */ - - // Reduce result - VEC_DATA_TYPE(DATA_TYPE, 4) - reduce4 = POOL_OP(data0.s0123, data0.s4567); - VEC_DATA_TYPE(DATA_TYPE, 2) - reduce2 = POOL_OP(reduce4.s01, reduce4.s23); - DATA_TYPE res = POOL_OP(reduce2.s0, reduce2.s1); - -#if defined(POOL_AVG) || defined(POOL_L2) - // Divide by pool region in case of average pooling - res = DIV_OP(res, calculate_avg_scale(7, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y)); -#endif /* defined(POOL_AVG) || defined(POOL_L2) */ - -#if defined(POOL_L2) - // Take square root of the result in L2 pooling - res = SQRT_OP(res); -#endif /* defined(POOL_L2) */ - - // Store result - *(__global DATA_TYPE *)output.ptr = res; -} - #if defined(POOL_SIZE) // Set the initial value for the pooling operation accordingly with the data type @@ -608,4 +511,4 @@ __kernel void pooling_layer_N( // Store result *(__global DATA_TYPE *)output.ptr = res; } -#endif // defined(POOL_SIZE)
\ No newline at end of file +#endif // defined(POOL_SIZE) diff --git a/src/core/CL/cl_kernels/pooling_layer_quantized.cl b/src/core/CL/cl_kernels/pooling_layer_quantized.cl new file mode 100644 index 0000000000..17448d19de --- /dev/null +++ b/src/core/CL/cl_kernels/pooling_layer_quantized.cl @@ -0,0 +1,121 @@ +/* + * 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 /* defined(POOL_AVG) */ +#define POOL_OP(x, y) (max((x), (y))) +#endif /* defined(POOL_AVG) */ + +#define DIV_OP(x, y) (x * (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, 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, upper_bound_w); + const int end_y = min(start_y + pool_size, 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 + * + * @note Pool size must be passed using -DPOOL_SIZE e.g. -DPOOL_SIZE=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 + * + * @param[in] input_ptr Pointer to the source image. Supported data types: QASYMM8 + * @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_N_quantized( + 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 = 0; + int sdata = 0; + + // Load data + for(int y = 0; y < POOL_SIZE; y++) + { + int x = 0; + for(; x <= ((int)POOL_SIZE - 8); x += 8) + { + uchar8 data = vload8(0, (__global uchar *)tensor3D_offset(&input, x, y, 0)); + int8 data0 = convert_int8(data); + vdata = POOL_OP(vdata, data0); + } + + // Leftover + for(; x < (int)POOL_SIZE; ++x) + { + uchar data = *((__global uchar *)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 = DIV_OP(res, calculate_avg_scale(POOL_SIZE, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y)); +#endif /* defined(POOL_AVG) */ + + // Store result + *(__global uchar *)output.ptr = convert_uchar(res); +} |