diff options
author | Manuel Bottini <manuel.bottini@arm.com> | 2021-02-16 15:15:19 +0000 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-02-23 18:21:55 +0000 |
commit | ceaa0bfe219631b5a4e638613f90f9fa47a3defe (patch) | |
tree | 3bb878645ae7509f7807197d320a02882ad84751 /src/core/GLES_COMPUTE/cs_shaders/pooling_layer.cs | |
parent | c40562d4467e3a68b0dac5e865570c8f38d1487e (diff) | |
download | ComputeLibrary-ceaa0bfe219631b5a4e638613f90f9fa47a3defe.tar.gz |
Remove OpenGL ES support
Remove the following:
- Relevant backend kernels
- Relevant backend functions
- Relevant backend validation tests
- Relevant backend specific examples
- Remove backend support from Graph API
- Remove backend support from build system
Update documentation
Resolves: COMPMID-4149
Change-Id: Id0621d6ee35169754de458103907aaba4ef770c0
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5097
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/core/GLES_COMPUTE/cs_shaders/pooling_layer.cs')
-rw-r--r-- | src/core/GLES_COMPUTE/cs_shaders/pooling_layer.cs | 1052 |
1 files changed, 0 insertions, 1052 deletions
diff --git a/src/core/GLES_COMPUTE/cs_shaders/pooling_layer.cs b/src/core/GLES_COMPUTE/cs_shaders/pooling_layer.cs deleted file mode 100644 index 6ca4265056..0000000000 --- a/src/core/GLES_COMPUTE/cs_shaders/pooling_layer.cs +++ /dev/null @@ -1,1052 +0,0 @@ -/* - * 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. - */ - -layout(local_size_x = LOCAL_SIZE_X, local_size_y = LOCAL_SIZE_Y, local_size_z = LOCAL_SIZE_Z) in; - -#include "helpers_cs.h" - -#if defined(DATA_TYPE_FP16) -precision mediump float; -#endif // DATA_TYPE_FP16 - -/** Performs a pooling function - * - * @note The data type must be passed at compile time using "#define DATA_TYPE_NAME". e.g. "#define DATA_TYPE_FP32" - * @note The pool size must be passed at compile time using "#define POOLING_LAYER_n". e.g. "#define POOLING_LAYER_2" - * n must be one of these: 2, 3, 7, N - * Pool size must be passed using POOL_SIZE if POOLING_LAYER_N is defined. e.g. POOL_SIZE=13; - * @note In case of average pooling the following information must be passed at compile time: - * POOL_AVG must be provided otherwise max pooling will be performed. - * MAX_WIDTH and MAX_HEIGHT which are the maximum accessible indeces in x and y dimensions (width + pad) - * STRIDE_X and STRIDE_Y which are the steps of the window along the x and y directions - * PAD_X and PAD_Y which are the pooling paddings in x and y dimension - * - * @param[in] src_ptr Pointer to the source image. Supported data types: F32/F16 - * @param[in] src_attrs The attributes of the source image - * @param[out] dst_ptr Pointer to the destination image. Supported data types: same as @p src_ptr - * @param[in] src_attrs The attributes of the destination image - */ -SHADER_PARAMS_DECLARATION -{ - Tensor3DAttributes src_attrs; - Tensor3DAttributes dst_attrs; -}; - -// Common definitions -#if defined(POOL_AVG) || defined(POOL_L2) -#define POOL_OP(res, a, b) ((res) = (a) + (b)) -#define POOL_OP_float(res, a, b) (res = a + b) -#define POOL_OP_vec2(res, a, b) ((res) = (a) + (b)) -#else /* defined(POOL_AVG) || defined(POOL_L2) */ -#define POOL_OP(res, a, b) \ - (res) = (a); \ - if(isnan(a.x) || (a.x < b.x)) \ - { \ - res.x = b.x; \ - } \ - if(isnan(a.y) || (a.y < b.y)) \ - { \ - res.y = b.y; \ - } \ - if(isnan(a.z) || (a.z < b.z)) \ - { \ - res.z = b.z; \ - } \ - if(isnan(a.w) || (a.w < b.w)) \ - { \ - res.w = b.w; \ - } -#define POOL_OP_float(res, a, b) \ - (res) = (a); \ - if(isnan(a) || (a < b)) \ - { \ - res = b; \ - } -#define POOL_OP_vec2(res, a, b) \ - (res) = (a); \ - if(isnan(a.x) || (a.x < b.x)) \ - { \ - res.x = b.x; \ - } \ - if(isnan(a.y) || (a.y < b.y)) \ - { \ - res.y = b.y; \ - } -#endif /* defined(POOL_AVG) || defined(POOL_L2) */ - -#if defined(POOL_L2) -#define POW2_OP(x, vec_size) ((x) * (x)) -#else /* defined(POOL_L2) */ -#define POW2_OP(x, vec_size) (x) -#endif /* defined(POOL_L2) */ - -#define DIV_OP(x, y) (x * (1.f / y)) -#define SQRT_OP(x) sqrt((x)) - -#if defined(DATA_TYPE_FP32) - -float calculate_max(const int, Tensor3DIterator, const int, const int, const int, const int, const int, const int); -float calculate_avg(const int, Tensor3DIterator, const int, const int, const int, const int, const int, const int); - -TENSOR_DECLARATION(1, srcBuffer, float, src_ptr, src_shift, 2, readonly); -TENSOR_DECLARATION(2, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly); - -#if defined(POOL_SIZE) -// Set the initial value for the pooling operation accordingly with the data type -#if defined(POOL_AVG) || defined(POOL_L2) -#define INITIAL_VALUE 0.0f -#else /* defined(POOL_AVG) || defined(POOL_L2) */ -#define INITIAL_VALUE -3.402823466385289e+38 -#endif // POOL_AVG -#endif //POOL_SIZE - -float calculate_max(const int pool_size, Tensor3DIterator src_iter, 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 = int(gl_GlobalInvocationID.x) * stride_x - pad_x; - int start_y = int(gl_GlobalInvocationID.y) * stride_y - pad_y; - int end_x = int(min(start_x + pool_size, upper_bound_w)); - int end_y = int(min(start_y + pool_size, upper_bound_h)); - - float data_max; - data_max = LOAD_CURRENT_ITEM(src_ptr, src_iter); - - for(int i = 0; (start_y + i) < end_y; ++i) - { - for(int j = 0; (start_x + j) < end_x; ++j) - { - float data = LOAD(src_ptr, TENSOR3D_OFFSET(src_iter, j, i, 0)); - POOL_OP_float(data_max, data_max, data); - } - } - - return data_max; -} - -float calculate_avg(const int pool_size, Tensor3DIterator src_iter, 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 = int(gl_GlobalInvocationID.x) * stride_x - pad_x; - int start_y = int(gl_GlobalInvocationID.y) * stride_y - pad_y; - int end_x = int(min(start_x + pool_size, upper_bound_w)); - int end_y = int(min(start_y + pool_size, upper_bound_h)); - - float data_total = 0.0f; - for(int i = 0; (start_x + i) < end_x; i++) - { - for(int j = 0; (start_y + j) < end_y; ++j) - { - float data = LOAD(src_ptr, TENSOR3D_OFFSET(src_iter, i, j, 0)); - if(isnan(data)) - { - data = 0.0f; - } -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data = POW2_OP(data, 1); -#endif /* defined(POOL_L2) */ - data_total = data_total + data; - } - } - -#if defined(EXCLUDE_PADDING) - start_x = max(0, start_x); - start_y = max(0, start_y); -#endif /* defined(EXCLUDE_PADDING) */ - - return data_total / float((end_y - start_y) * (end_x - start_x)); -} - -#if defined(POOLING_LAYER_2) || defined(POOLING_LAYER_3) || defined(POOLING_LAYER_7) - -#if defined(POOLING_LAYER_2) -#define POOL_SIZE 2 -#elif defined(POOLING_LAYER_3) -#define POOL_SIZE 3 -#elif defined(POOLING_LAYER_7) -#define POOL_SIZE 7 -#else // POOLING_LAYER_n -#error Please define POOLING_LAYER_N instead. -#endif // POOLING_LAYER_n - -void main(void) -{ - // Get pixels pointer - Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - - //Load and calculate data - float res; -#if defined(POOL_AVG) || defined(POOL_L2) - res = calculate_avg(POOL_SIZE, src_iter, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y); -#else /*POOL_AVG*/ - res = calculate_max(POOL_SIZE, src_iter, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y); -#endif /*POOL_AVG*/ - -#if defined(POOL_L2) - // Take square root of the result in L2 pooling - res = SQRT_OP(res); -#endif /* defined(POOL_L2) */ - - // Store result - STORE_CURRENT_ITEM(dst_ptr, dst_iter, res); -} - -#elif defined(POOLING_LAYER_3_OPTIMIZED) - -#define POOLING3x3_STRIDE1(res, input_ptr, input_iter) \ - vec4 data00 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0)); \ - vec2 data01 = VLOAD2(vec2, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(4)); \ - vec4 data10 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0)); \ - vec2 data11 = VLOAD2(vec2, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(4)); \ - vec4 data20 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0)); \ - vec2 data21 = VLOAD2(vec2, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(4)); \ - data00 = POW2_OP(data00, 4); \ - data01 = POW2_OP(data01, 2); \ - data10 = POW2_OP(data10, 4); \ - data11 = POW2_OP(data11, 2); \ - data20 = POW2_OP(data20, 4); \ - data21 = POW2_OP(data21, 2); \ - \ - vec4 values000; \ - vec4 values001; \ - vec4 values010; \ - vec4 values100; \ - vec4 values101; \ - vec4 values11; \ - vec4 values200; \ - vec4 values201; \ - vec4 values21; \ - values000.xyzw = data00.xyzy; \ - values001.xyzw = data00.zwzw; \ - values010.x = data01.x; \ - values010.y = data00.w; \ - values010.zw = data01.xy; \ - values100.xyzw = data10.xyzy; \ - values101.xyzw = data10.zwzw; \ - values11.x = data11.x; \ - values11.y = data10.w; \ - values11.zw = data11.xy; \ - values200.xyzw = data20.xyzy; \ - values201.xyzw = data20.zwzw; \ - values21.x = data21.x; \ - values21.y = data20.w; \ - values21.zw = data21.xy; \ - POOL_OP(values000.xyzw, values000.xyzw, values100.xyzw); \ - POOL_OP(values001.xyzw, values001.xyzw, values101.xyzw); \ - POOL_OP(values010.xyzw, values010.xyzw, values11.xyzw); \ - POOL_OP(values000.xyzw, values000.xyzw, values200.xyzw); \ - POOL_OP(values001.xyzw, values001.xyzw, values201.xyzw); \ - POOL_OP(values010.xyzw, values010.xyzw, values21.xyzw); \ - POOL_OP(res.xyzw, vec4(values000.xw, values001.z, values010.y), vec4(values000.y, values001.xw, values010.z)); \ - POOL_OP(res.xyzw, res.xyzw, vec4(values000.z, values001.y, values010.xw)) - -#define POOLING3x3_STRIDE2(res, input_ptr, input_iter) \ - vec4 data000 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0)); \ - vec4 data001 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(4)); \ - float data010 = LOAD(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(8)); \ - vec4 data100 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0)); \ - vec4 data101 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(4)); \ - float data11 = LOAD(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(8)); \ - vec4 data200 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0)); \ - vec4 data201 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(4)); \ - float data21 = LOAD(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(8)); \ - data000 = POW2_OP(data000, 4); \ - data001 = POW2_OP(data001, 4); \ - data010 = POW2_OP(data010, 1); \ - data100 = POW2_OP(data100, 4); \ - data101 = POW2_OP(data101, 4); \ - data11 = POW2_OP(data11, 1); \ - data200 = POW2_OP(data200, 4); \ - data201 = POW2_OP(data201, 4); \ - data21 = POW2_OP(data21, 1); \ - \ - vec4 values000; \ - vec4 values001; \ - vec4 values010; \ - vec4 values100; \ - vec4 values101; \ - vec4 values11; \ - vec4 values200; \ - vec4 values201; \ - vec4 values21; \ - values000.xyzw = data000.xyzz; \ - values001.xyzw = vec4(data000.w, data001.xxy); \ - values010.xyzw = vec4(data001.zzw, data010); \ - values100.xyzw = data100.xyzz; \ - values101.xyzw = vec4(data100.w, data101.xxy); \ - values11.xyzw = vec4(data101.zzw, data11); \ - values200.xyzw = data200.xyzz; \ - values201.xyzw = vec4(data200.w, data201.xxy); \ - values21.xyzw = vec4(data201.zzw, data21); \ - POOL_OP(values000.xyzw, values000.xyzw, values100.xyzw); \ - POOL_OP(values001.xyzw, values001.xyzw, values101.xyzw); \ - POOL_OP(values010.xyzw, values010.xyzw, values11.xyzw); \ - POOL_OP(values000.xyzw, values000.xyzw, values200.xyzw); \ - POOL_OP(values001.xyzw, values001.xyzw, values201.xyzw); \ - POOL_OP(values010.xyzw, values010.xyzw, values21.xyzw); \ - POOL_OP(res.xyzw, vec4(values000.xw, values001.z, values010.y), vec4(values000.y, values001.xw, values010.z)); \ - POOL_OP(res.xyzw, res.xyzw, vec4(values000.z, values001.y, values010.xw)) - -#define POOLING3x3_STRIDE3(res, input_ptr, input_iter) \ - vec4 data000 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0)); \ - vec4 data001 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(4)); \ - vec4 data010 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(8)); \ - vec4 data100 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0)); \ - vec4 data101 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(4)); \ - vec4 data11 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(8)); \ - vec4 data200 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0)); \ - vec4 data201 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(4)); \ - vec4 data21 = VLOAD4(vec4, input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(8)); \ - data000 = POW2_OP(data000, 4); \ - data001 = POW2_OP(data001, 4); \ - data010 = POW2_OP(data010, 4); \ - data100 = POW2_OP(data100, 4); \ - data101 = POW2_OP(data101, 4); \ - data11 = POW2_OP(data11, 4); \ - data200 = POW2_OP(data200, 4); \ - data201 = POW2_OP(data201, 4); \ - data21 = POW2_OP(data21, 4); \ - \ - POOL_OP(data000.xyzw, data000.xyzw, data100.xyzw); \ - POOL_OP(data001.xyzw, data001.xyzw, data101.xyzw); \ - POOL_OP(data010.xyzw, data010.xyzw, data11.xyzw); \ - POOL_OP(data000.xyzw, data000.xyzw, data200.xyzw); \ - POOL_OP(data001.xyzw, data001.xyzw, data201.xyzw); \ - POOL_OP(data010.xyzw, data010.xyzw, data21.xyzw); \ - POOL_OP(res.xyzw, vec4(data000.xw, data001.z, data010.y), vec4(data000.y, data001.xw, data010.z)); \ - POOL_OP(res.xyzw, res.xyzw, vec4(data000.z, data001.y, data010.xw)) - -void main(void) -{ - // Get pixels pointer - Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - - vec4 res; - // Perform pooling 3x3 for 4 output elements -#if STRIDE_X == 1 - POOLING3x3_STRIDE1(res, src_ptr, src_iter); -#elif STRIDE_X == 2 - POOLING3x3_STRIDE2(res, src_ptr, src_iter); -#elif STRIDE_X == 3 - POOLING3x3_STRIDE3(res, src_ptr, src_iter); -#endif /*STRIDE_X == 1*/ - - // Divide by pool region in case of average pooling -#if defined(POOL_AVG) || defined(POOL_L2) - ivec4 start_x = ((ivec4(int(gl_GlobalInvocationID.x) * 4) + ivec4(0, 1, 2, 3)) * (ivec4(STRIDE_X))) - (ivec4(PAD_X)); - int start_y = int(gl_GlobalInvocationID.y) * STRIDE_Y - PAD_Y; - ivec4 end_x = min((start_x + (ivec4(3))), (ivec4(MAX_WIDTH))); - int end_y = min((start_y + 3), MAX_HEIGHT); -#if defined(EXCLUDE_PADDING) - start_x = max(ivec4(0), start_x); - start_y = max(0, start_y); -#endif /* defined(EXCLUDE_PADDING) */ - res *= (vec4((1.f)) / vec4((ivec4(end_y - start_y)) * (end_x - start_x))); -#endif /*POOL_AVG*/ - -#if defined(POOL_L2) - // Take square root of the result in L2 pooling - res = SQRT_OP(res); -#endif /* defined(POOL_L2) */ - - VSTORE4_CURRENT_ITEM(dst_ptr, dst_iter, res); -} - -#elif defined(POOLING_LAYER_N) - -void main(void) -{ - // Get pixels pointer - Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - - vec4 vdata0 = vec4(INITIAL_VALUE); - vec4 vdata1 = vec4(INITIAL_VALUE); - float sdata = float(INITIAL_VALUE); - - for(int y = 0; y < int(POOL_SIZE); y++) - { - int x = 0; - for(; x <= (int(POOL_SIZE) - 8); x += 8) - { - vec4 data2 = VLOAD4(vec4, src_ptr, TENSOR3D_OFFSET(src_iter, x, y, 0)); - vec4 data3 = VLOAD4(vec4, src_ptr, TENSOR3D_OFFSET(src_iter, x, y, 0) + uint(4)); - -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data2 *= data2; - data3 *= data3; -#endif /* defined(POOL_L2) */ - - POOL_OP(vdata0, vdata0, data2); - POOL_OP(vdata1, vdata1, data3); - } - - // Leftover - for(; x < int(POOL_SIZE); ++x) - { - float data4 = LOAD(src_ptr, TENSOR3D_OFFSET(src_iter, x, y, 0)); -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data4 *= data4; -#endif /* defined(POOL_L2) */ - POOL_OP_float(sdata, sdata, data4); - } - } - - //Reduce result - vec4 reduce4; - POOL_OP(reduce4, vdata0.xyzw, vdata1.xyzw); - vec2 reduce2; - POOL_OP_vec2(reduce2, reduce4.xy, reduce4.zw); - float res; - POOL_OP_float(res, reduce2.x, reduce2.y); - POOL_OP_float(res, res, sdata); - -#if defined(POOL_AVG) || defined(POOL_L2) - { - // Divide by pool region in case of average pooling - int start_x = int(gl_GlobalInvocationID.x) * STRIDE_X - PAD_X; - int start_y = int(gl_GlobalInvocationID.y) * STRIDE_Y - PAD_Y; - int end_x = int(min(start_x + POOL_SIZE, MAX_WIDTH)); - int end_y = int(min(start_y + POOL_SIZE, MAX_HEIGHT)); -#if defined(EXCLUDE_PADDING) - start_x = max(0, start_x); - start_y = max(0, start_y); -#endif /* defined(EXCLUDE_PADDING) */ - float res1 = float((end_y - start_y) * (end_x - start_x)); - res = DIV_OP(res, res1); - } -#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 - STORE_CURRENT_ITEM(dst_ptr, dst_iter, res); -} -#endif // POOLING_LAYER_N - -#elif defined(DATA_TYPE_FP16) - -vec2 calculate_max(const int, Tensor3DIterator, const int, const int, const int, const int, const int, const int); -vec2 calculate_avg(const int, Tensor3DIterator, const int, const int, const int, const int, const int, const int); - -TENSOR_DECLARATION(1, srcBuffer, uint, src_ptr, src_shift, 2, readonly); -TENSOR_DECLARATION(2, dstBuffer, uint, dst_ptr, dst_shift, 2, writeonly); - -#if defined(POOL_SIZE) -// Set the initial value for the pooling operation accordingly with the data type -#if defined(POOL_AVG) || defined(POOL_L2) -#define INITIAL_VALUE 0.0f -#else /* defined(POOL_AVG) || defined(POOL_L2) */ -#define INITIAL_VALUE -65504.0f -#endif //POOL_AVG -#endif //POOL_SIZE - -vec2 calculate_max(const int pool_size, Tensor3DIterator src_iter, 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_x1 = int(gl_GlobalInvocationID.x) * stride_x - pad_x; - int start_y1 = int(gl_GlobalInvocationID.y) * stride_y - pad_y; - int end_x1 = int(min(start_x1 + pool_size, upper_bound_w)); - int end_y1 = int(min(start_y1 + pool_size, upper_bound_h)); - - int start_x2 = start_x1 + stride_x; - int start_y2 = start_y1; - int end_x2 = int(min(start_x2 + pool_size, upper_bound_w)); - int end_y2 = int(min(start_y2 + pool_size, upper_bound_h)); - - //Initialize maximum - vec2 data_max = vec2(0); - - //Load and Set initial maximum1 - vec2 data_init1 = LOAD_UNPACK2_CURRENT_ITEM_HALF(src_ptr, src_iter); - data_max.x = data_init1.x; - - //Load and Set initial maximum2 - if(end_x1 < upper_bound_w) - { - if((stride_x % 2) == 0) - { - vec2 data_init2 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, stride_x, 0, 0)); - data_max.y = data_init2.x; - } - else - { - vec2 data_init2 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, stride_x - 1, 0, 0)); - data_max.y = data_init2.y; - } - } - - for(int i = 0; (start_y1 + i) < end_y1; i++) - for(int j = 0; (start_x1 + j) < end_x1; j = j + 2) - { - //Calculate maximum1 - if((start_x1 + j + 1) < end_x1) - { - vec2 data1 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, j, i, 0)); - float data_mr1; - POOL_OP_float(data_mr1, data1.x, data1.y); - POOL_OP_float(data_max.x, data_max.x, data_mr1); - } - else - { - vec2 data1 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, j, i, 0)); - POOL_OP_float(data_max.x, data_max.x, data1.x); - } - - //Calculate maximum2 - if((start_x2 + j) < end_x2 && end_x1 < upper_bound_w) - { - if((stride_x % 2) == 0) - { - vec2 data2 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, (j + stride_x), i, 0)); - - if((start_x2 + j + 1) < end_x2) - { - float data_mr2; - POOL_OP_float(data_mr2, data2.x, data2.y); - POOL_OP_float(data_max.y, data_max.y, data_mr2); - } - else - { - POOL_OP_float(data_max.y, data_max.y, data2.x); - } - } - else - { - vec2 data2 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, (j + stride_x - 1), i, 0)); - vec2 data3 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, (j + stride_x + 1), i, 0)); - if((start_x2 + j + 1) < end_x2) - { - float data_mr2; - POOL_OP_float(data_mr2, data3.x, data2.y); - POOL_OP_float(data_max.y, data_max.y, data_mr2); - } - else - { - POOL_OP_float(data_max.y, data_max.y, data2.y); - } - } - } - } - return data_max; -} - -vec2 calculate_avg(const int pool_size, Tensor3DIterator src_iter, 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_x1 = (2 * int(gl_GlobalInvocationID.x)) * stride_x - pad_x; - int start_y1 = int(gl_GlobalInvocationID.y) * stride_y - pad_y; - int end_x1 = int(min(start_x1 + pool_size, upper_bound_w)); - int end_y1 = int(min(start_y1 + pool_size, upper_bound_h)); - - int start_x2 = start_x1 + stride_x; - int start_y2 = start_y1; - int end_x2 = int(min(start_x2 + pool_size, upper_bound_w)); - int end_y2 = int(min(start_y2 + pool_size, upper_bound_h)); - - //Initialize sum - float data_total1 = float(0); - float data_total2 = float(0); - for(int i = 0; (start_y1 + i) < end_y1; i++) - for(int j = 0; (start_x1 + j) < end_x1; j = j + 2) - { - vec2 data1 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, j, i, 0)); -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data1 = POW2_OP(data1, 2); -#endif /* defined(POOL_L2) */ - //Calculate sum1 - if((start_x1 + j + 1) < end_x1) - { - data_total1 = data_total1 + data1.x + data1.y; - } - else - { - data_total1 = data_total1 + data1.x; - } - - //Calculate sum2 - if((start_x2 + j) < end_x2 && end_x1 <= upper_bound_w) - { - if((stride_x % 2) == 0) - { - vec2 data2 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, (j + stride_x), i, 0)); -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data2 = POW2_OP(data2, 2); -#endif /* defined(POOL_L2) */ - if((start_x2 + j + 1) < end_x2) - { - data_total2 = data_total2 + data2.x + data2.y; - } - else - { - data_total2 = data_total2 + data2.x; - } - } - else - { - vec2 data2 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, (j + stride_x - 1), i, 0)); - vec2 data3 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, (j + stride_x + 1), i, 0)); -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data2 = POW2_OP(data2, 2); - data3 = POW2_OP(data3, 2); -#endif /* defined(POOL_L2) */ - if((start_x2 + j + 1) < end_x2) - { - data_total2 = data_total2 + data3.x + data2.y; - } - else - { - data_total2 = data_total2 + data2.y; - } - } - } - } -#if defined(EXCLUDE_PADDING) - start_x1 = max(0, start_x1); - start_y1 = max(0, start_y1); - start_x2 = max(0, start_x2); - start_y2 = max(0, start_y2); -#endif /* defined(EXCLUDE_PADDING) */ - - //Calculate average - vec2 data_avg; - data_avg.x = data_total1 / float((end_y1 - start_y1) * (end_x1 - start_x1)); - data_avg.y = data_total2 / float((end_y2 - start_y2) * (end_x2 - start_x2)); - - return data_avg; -} - -#if defined(POOLING_LAYER_2) || defined(POOLING_LAYER_3) || defined(POOLING_LAYER_7) - -#if defined(POOLING_LAYER_2) -#define POOL_SIZE 2 -#elif defined(POOLING_LAYER_3) -#define POOL_SIZE 3 -#elif defined(POOLING_LAYER_7) -#define POOL_SIZE 7 -#else // POOLING_LAYER_n -#error Please define POOLING_LAYER_N instead. -#endif // POOLING_LAYER_n - -void main(void) -{ - // Get pixels pointer - Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - - //Load and calculate data - vec2 data; -#if defined(POOL_AVG) || defined(POOL_L2) - data = calculate_avg(POOL_SIZE, src_iter, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y); -#else /*POOL_AVG*/ - data = calculate_max(POOL_SIZE, src_iter, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y); -#endif /*POOL_AVG*/ - -#if defined(POOL_L2) - // Take square root of the result in L2 pooling - data = SQRT_OP(data); -#endif /* defined(POOL_L2) */ - - // Store result - STORE_PACK2_CURRENT_ITEM_HALF(dst_ptr, dst_iter, data); -} - -#elif defined(POOLING_LAYER_3_OPTIMIZED) - -#define POOLING3x3_STRIDE1_fp16(res, input_ptr, input_iter) \ - vec4 data00 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0)); \ - vec2 data01 = LOAD_UNPACK2_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(2)); \ - vec4 data10 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0)); \ - vec2 data11 = LOAD_UNPACK2_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(2)); \ - vec4 data20 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0)); \ - vec2 data21 = LOAD_UNPACK2_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(2)); \ - data00 = POW2_OP(data00, 4); \ - data01 = POW2_OP(data01, 2); \ - data10 = POW2_OP(data10, 4); \ - data11 = POW2_OP(data11, 2); \ - data20 = POW2_OP(data20, 4); \ - data21 = POW2_OP(data21, 2); \ - \ - vec4 values000; \ - vec4 values001; \ - vec4 values010; \ - vec4 values100; \ - vec4 values101; \ - vec4 values11; \ - vec4 values200; \ - vec4 values201; \ - vec4 values21; \ - values000.xyzw = data00.xyzy; \ - values001.xyzw = data00.zwzw; \ - values010.x = data01.x; \ - values010.y = data00.w; \ - values010.zw = data01.xy; \ - values100.xyzw = data10.xyzy; \ - values101.xyzw = data10.zwzw; \ - values11.x = data11.x; \ - values11.y = data10.w; \ - values11.zw = data11.xy; \ - values200.xyzw = data20.xyzy; \ - values201.xyzw = data20.zwzw; \ - values21.x = data21.x; \ - values21.y = data20.w; \ - values21.zw = data21.xy; \ - POOL_OP(values000.xyzw, values000.xyzw, values100.xyzw); \ - POOL_OP(values001.xyzw, values001.xyzw, values101.xyzw); \ - POOL_OP(values010.xyzw, values010.xyzw, values11.xyzw); \ - POOL_OP(values000.xyzw, values000.xyzw, values200.xyzw); \ - POOL_OP(values001.xyzw, values001.xyzw, values201.xyzw); \ - POOL_OP(values010.xyzw, values010.xyzw, values21.xyzw); \ - POOL_OP(res.xyzw, vec4(values000.xw, values001.z, values010.y), vec4(values000.y, values001.xw, values010.z)); \ - POOL_OP(res.xyzw, res.xyzw, vec4(values000.z, values001.y, values010.xw)) - -#define POOLING3x3_STRIDE2_fp16(res, input_ptr, input_iter) \ - vec4 data000; \ - vec4 data001; \ - float data010; \ - vec4 data100; \ - vec4 data101; \ - float data11; \ - vec4 data200; \ - vec4 data201; \ - float data21; \ - vec2 datamiddle0; \ - vec2 datamiddle1; \ - vec2 datamiddle2; \ - data000 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0)); \ - data001 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(2)); \ - datamiddle0 = LOAD_UNPACK2_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(4)); \ - data010 = datamiddle0.x; \ - data100 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0)); \ - data101 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(2)); \ - datamiddle1 = LOAD_UNPACK2_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(4)); \ - data11 = datamiddle1.x; \ - data200 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0)); \ - data201 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(2)); \ - datamiddle2 = LOAD_UNPACK2_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(4)); \ - data21 = datamiddle2.x; \ - data000 = POW2_OP(data000, 4); \ - data001 = POW2_OP(data001, 4); \ - data010 = POW2_OP(data010, 1); \ - data100 = POW2_OP(data100, 4); \ - data101 = POW2_OP(data101, 4); \ - data11 = POW2_OP(data11, 1); \ - data200 = POW2_OP(data200, 4); \ - data201 = POW2_OP(data201, 4); \ - data21 = POW2_OP(data21, 1); \ - \ - vec4 values000; \ - vec4 values001; \ - vec4 values010; \ - vec4 values100; \ - vec4 values101; \ - vec4 values11; \ - vec4 values200; \ - vec4 values201; \ - vec4 values21; \ - values000.xyzw = data000.xyzz; \ - values001.xyzw = vec4(data000.w, data001.xxy); \ - values010.xyzw = vec4(data001.zzw, data010); \ - values100.xyzw = data100.xyzz; \ - values101.xyzw = vec4(data100.w, data101.xxy); \ - values11.xyzw = vec4(data101.zzw, data11); \ - values200.xyzw = data200.xyzz; \ - values201.xyzw = vec4(data200.w, data201.xxy); \ - values21.xyzw = vec4(data201.zzw, data21); \ - POOL_OP(values000.xyzw, values000.xyzw, values100.xyzw); \ - POOL_OP(values001.xyzw, values001.xyzw, values101.xyzw); \ - POOL_OP(values010.xyzw, values010.xyzw, values11.xyzw); \ - POOL_OP(values000.xyzw, values000.xyzw, values200.xyzw); \ - POOL_OP(values001.xyzw, values001.xyzw, values201.xyzw); \ - POOL_OP(values010.xyzw, values010.xyzw, values21.xyzw); \ - POOL_OP(res.xyzw, vec4(values000.xw, values001.z, values010.y), vec4(values000.y, values001.xw, values010.z)); \ - POOL_OP(res.xyzw, res.xyzw, vec4(values000.z, values001.y, values010.xw)) - -#define POOLING3x3_STRIDE3_fp16(res, input_ptr, input_iter) \ - vec4 data000 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0)); \ - vec4 data001 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(2)); \ - vec4 data010 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 0, 0) + uint(4)); \ - vec4 data100 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0)); \ - vec4 data101 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(2)); \ - vec4 data11 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 1, 0) + uint(4)); \ - vec4 data200 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0)); \ - vec4 data201 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(2)); \ - vec4 data21 = VLOAD2_UNPACK4_HALF(input_ptr, TENSOR3D_OFFSET(input_iter, 0, 2, 0) + uint(4)); \ - data000 = POW2_OP(data000, 4); \ - data001 = POW2_OP(data001, 4); \ - data010 = POW2_OP(data010, 4); \ - data100 = POW2_OP(data100, 4); \ - data101 = POW2_OP(data101, 4); \ - data11 = POW2_OP(data11, 4); \ - data200 = POW2_OP(data200, 4); \ - data201 = POW2_OP(data201, 4); \ - data21 = POW2_OP(data21, 4); \ - \ - POOL_OP(data000.xyzw, data000.xyzw, data100.xyzw); \ - POOL_OP(data001.xyzw, data001.xyzw, data101.xyzw); \ - POOL_OP(data010.xyzw, data010.xyzw, data11.xyzw); \ - POOL_OP(data000.xyzw, data000.xyzw, data200.xyzw); \ - POOL_OP(data001.xyzw, data001.xyzw, data201.xyzw); \ - POOL_OP(data010.xyzw, data010.xyzw, data21.xyzw); \ - POOL_OP(res.xyzw, vec4(data000.xw, data001.z, data010.y), vec4(data000.y, data001.xw, data010.z)); \ - POOL_OP(res.xyzw, res.xyzw, vec4(data000.z, data001.y, data010.xw)) - -void main(void) -{ - // Get pixels pointer - Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - - vec4 res; - // Perform pooling 3x3 for 4 output elements -#if STRIDE_X == 1 - POOLING3x3_STRIDE1_fp16(res, src_ptr, src_iter); -#elif STRIDE_X == 2 - POOLING3x3_STRIDE2_fp16(res, src_ptr, src_iter); -#elif STRIDE_X == 3 - POOLING3x3_STRIDE3_fp16(res, src_ptr, src_iter); -#endif /*STRIDE_X == 1*/ - - // Divide by pool region in case of average pooling -#if defined(POOL_AVG) || defined(POOL_L2) - ivec4 start_x = ((ivec4(int(gl_GlobalInvocationID.x) * 4) + ivec4(0, 1, 2, 3)) * (ivec4(STRIDE_X))) - (ivec4(PAD_X)); - int start_y = int(gl_GlobalInvocationID.y) * STRIDE_Y - PAD_Y; - ivec4 end_x = min((start_x + (ivec4(3))), (ivec4(MAX_WIDTH))); - int end_y = min((start_y + 3), MAX_HEIGHT); -#if defined(EXCLUDE_PADDING) - start_x = max(ivec4(0), start_x); - start_y = max(0, start_y); -#endif /* defined(EXCLUDE_PADDING) */ - res *= (vec4((1.f)) / vec4((ivec4(end_y - start_y)) * (end_x - start_x))); -#endif /*POOL_AVG*/ - -#if defined(POOL_L2) - // Take square root of the result in L2 pooling - res = SQRT_OP(res); -#endif /* defined(POOL_L2) */ - - VSTORE2_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, res); -} - -#elif defined(POOLING_LAYER_N) - -void main(void) -{ - // Get pixels pointer - Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - - vec4 vdata00 = vec4(INITIAL_VALUE); - vec4 vdata01 = vec4(INITIAL_VALUE); - vec4 vdata10 = vec4(INITIAL_VALUE); - vec4 vdata11 = vec4(INITIAL_VALUE); - vec2 sdata = vec2(INITIAL_VALUE); - - for(int y = 0; y < int(POOL_SIZE); y++) - { - int x = 0; - for(; x <= (int(POOL_SIZE) - 8); x += 8) - { - vec4 data2 = VLOAD2_UNPACK4_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, x, y, 0)); - vec4 data3 = VLOAD2_UNPACK4_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, x, y, 0) + uint(2)); - -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data2 *= data2; - data3 *= data3; -#endif /* defined(POOL_L2) */ - - POOL_OP(vdata00, vdata00, data2); - POOL_OP(vdata10, vdata10, data3); - } - - // Leftover - for(; x < int(POOL_SIZE); x = x + 2) - { - vec2 data4middle = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, x, y, 0)); -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data4middle *= data4middle; -#endif /* defined(POOL_L2) */ - if((x + 1) >= int(POOL_SIZE)) - { - POOL_OP_float(sdata.x, sdata.x, data4middle.x); - } - else - { - float data4; - POOL_OP_float(data4, data4middle.x, data4middle.y); - POOL_OP_float(sdata.x, sdata.x, data4); - } - } - } - - for(int y = 0; y < int(POOL_SIZE); y++) - { - if((STRIDE_X % 2) == 0) - { - int x1 = STRIDE_X; - for(; x1 <= (int(POOL_SIZE + STRIDE_X) - 8); x1 += 8) - { - vec4 data2 = VLOAD2_UNPACK4_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, x1, y, 0)); - vec4 data3 = VLOAD2_UNPACK4_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, x1, y, 0) + uint(2)); - -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data2 *= data2; - data3 *= data3; -#endif /* defined(POOL_L2) */ - - POOL_OP(vdata01, vdata01, data2); - POOL_OP(vdata11, vdata11, data3); - } - - // Leftover - for(; x1 < int(POOL_SIZE + STRIDE_X); x1 = x1 + 2) - { - vec2 data4middle; - data4middle = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, x1, y, 0)); -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data4middle *= data4middle; -#endif /* defined(POOL_L2) */ - if((x1 + 1) >= int(POOL_SIZE + STRIDE_X)) - { - POOL_OP_float(sdata.y, sdata.y, data4middle.x); - } - else - { - float data4; - POOL_OP_float(data4, data4middle.x, data4middle.y); - POOL_OP_float(sdata.y, sdata.y, data4); - } - } - } - else - { - vec2 dataorigin2; - dataorigin2 = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, (STRIDE_X - 1), y, 0)); -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - dataorigin2.y *= dataorigin2.y; -#endif /* defined(POOL_L2) */ - POOL_OP_float(sdata.y, sdata.y, dataorigin2.y); - - int x1 = STRIDE_X + 1; - for(; x1 <= (int(POOL_SIZE + STRIDE_X) - 8); x1 += 8) - { - vec4 data2 = VLOAD2_UNPACK4_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, x1, y, 0)); - vec4 data3 = VLOAD2_UNPACK4_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, x1, y, 0) + uint(2)); - -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data2 *= data2; - data3 *= data3; -#endif /* defined(POOL_L2) */ - - POOL_OP(vdata01, vdata01, data2); - POOL_OP(vdata11, vdata11, data3); - } - - // Leftover - for(; x1 < int(POOL_SIZE + STRIDE_X); x1 = x1 + 2) - { - vec2 data4middle = LOAD_UNPACK2_HALF(src_ptr, TENSOR3D_OFFSET(src_iter, x1, y, 0)); -#if defined(POOL_L2) - // Raise to power of 2 for L2 Pooling - data4middle *= data4middle; -#endif /* defined(POOL_L2) */ - if((x1 + 1) >= int(POOL_SIZE + STRIDE_X)) - { - POOL_OP_float(sdata.y, sdata.y, data4middle.x); - } - else - { - float data4; - POOL_OP_float(data4, data4middle.x, data4middle.y); - POOL_OP_float(sdata.y, sdata.y, data4); - } - } - } - } - - //Reduce result - vec4 reduce40; - POOL_OP(reduce40, vdata00.xyzw, vdata10.xyzw); - vec2 reduce20; - POOL_OP_vec2(reduce20, reduce40.xy, reduce40.zw); - vec4 reduce41; - POOL_OP(reduce41, vdata01.xyzw, vdata11.xyzw); - vec2 reduce21; - POOL_OP_vec2(reduce21, reduce41.xy, reduce41.zw); - vec2 data; - POOL_OP_float(data.x, reduce20.x, reduce20.y); - POOL_OP_float(data.x, data.x, sdata.x); - POOL_OP_float(data.y, reduce21.x, reduce21.y); - POOL_OP_float(data.y, data.y, sdata.y); - -#if defined(POOL_AVG) || defined(POOL_L2) - { - // Divide by pool region in case of average pooling - int start_x1 = (2 * int(gl_GlobalInvocationID.x)) * STRIDE_X - PAD_X; - int start_y1 = int(gl_GlobalInvocationID.y) * STRIDE_Y - PAD_Y; - int end_x1 = int(min(start_x1 + POOL_SIZE, MAX_WIDTH)); - int end_y1 = int(min(start_y1 + POOL_SIZE, MAX_HEIGHT)); - int start_x2 = start_x1 + STRIDE_X; - int start_y2 = start_y1; - int end_x2 = int(min(start_x2 + POOL_SIZE, MAX_WIDTH)); - int end_y2 = int(min(start_y2 + POOL_SIZE, MAX_HEIGHT)); -#if defined(EXCLUDE_PADDING) - start_x1 = max(0, start_x1); - start_y1 = max(0, start_y1); - start_x2 = max(0, start_x2); - start_y2 = max(0, start_y2); -#endif /* defined(EXCLUDE_PADDING) */ - vec2 res1; - res1.x = float((end_y1 - start_y1) * (end_x1 - start_x1)); - res1.y = float((end_y2 - start_y2) * (end_x2 - start_x2)); - data.x = DIV_OP(data.x, res1.x); - data.y = DIV_OP(data.y, res1.y); - } -#endif /* defined(POOL_AVG) || defined(POOL_L2) */ - -#if defined(POOL_L2) - // Take square root of the result in L2 pooling - data = SQRT_OP(data); -#endif /* defined(POOL_L2) */ - - // Store result - STORE_PACK2_CURRENT_ITEM_HALF(dst_ptr, dst_iter, data); -} -#endif // POOLING_LAYER_N - -#else // DATA_TYPE_FP32 -#error Data type not supported -#endif // DATA_TYPE_FP32 |