diff options
Diffstat (limited to 'src/core/GLES_COMPUTE/cs_shaders/direct_convolution1x1.cs')
| -rw-r--r-- | src/core/GLES_COMPUTE/cs_shaders/direct_convolution1x1.cs | 1057 |
1 files changed, 0 insertions, 1057 deletions
diff --git a/src/core/GLES_COMPUTE/cs_shaders/direct_convolution1x1.cs b/src/core/GLES_COMPUTE/cs_shaders/direct_convolution1x1.cs deleted file mode 100644 index b42c09bbc7..0000000000 --- a/src/core/GLES_COMPUTE/cs_shaders/direct_convolution1x1.cs +++ /dev/null @@ -1,1057 +0,0 @@ -/* - * 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. - */ - -layout(local_size_x = LOCAL_SIZE_X, local_size_y = LOCAL_SIZE_Y, local_size_z = LOCAL_SIZE_Z) in; - -#include "helpers_cs.h" - -#ifdef FUSED_ACTIVATION -#include "activation_layer_helpers_cs.h" -#endif /* FUSED_ACTIVATION */ - -#if defined(DATA_TYPE_FP16) -precision mediump float; -#endif // DATA_TYPE_FP16 - -/** This kernel performs a direct convolution to convolve the low three dimensions. - * - * @note The data type must be passed at compile time using "#define DATA_TYPE_NAME". e.g. "#define DATA_TYPE_FP32" - * @note This kernel has multiple optimized direct convolution options for FP16. - * The direct convolution option must be passed at compile time using "#define PROCESS_nX_nY_nZ" e.g. "#define PROCESS_8X_1Y_1Z" - * @note The convolution stride x must be passed at compile time using "#define STRIDE_X n" e.g. "#define STRIDE_X 1" - * @note In case biases will be added to the convolution "#define HAS_BIAS" has to be passed to append the final matrix with 1 in each row. - * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32 - * @param[in] src_attrs The attributes of the source tensor - * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr - * @param[in] dst_attrs The attributes of the destination tensor - * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr - * @param[in] weights_attrs The attributes of the weights tensor - * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr - * @param[in] biases_attrs The attributes of the weights tensor - * @param[in] weights_stride_w Stride of the weights tensor in the 4th dimension - * @param[in] weights_depth The third dimensions of the weights tensors - */ -SHADER_PARAMS_DECLARATION -{ - Tensor3DAttributes src_attrs; - Tensor3DAttributes dst_attrs; - Tensor3DAttributes weights_attrs; -#ifdef BIAS - VectorAttributes biases_attrs; -#endif /* BIAS */ - uint weights_stride_w; - uint weights_depth; -}; - -#if defined(DATA_TYPE_FP32) -TENSOR_DECLARATION(1, srcBuffer, float, src_ptr, src_shift, 2, readonly); -TENSOR_DECLARATION(2, dstBuffer, float, dst_ptr, dst_shift, 2, writeonly); -TENSOR_DECLARATION(3, weightsBuffer, float, weights_ptr, weights_shift, 2, readonly); -#ifdef BIAS -TENSOR_DECLARATION(4, biasesBuffer, float, biases_ptr, biases_shift, 2, readonly); -#endif /* BIAS */ - -void main() -{ - ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); - Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - -#ifdef BIAS - VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift); -#endif /* BIAS */ - - float pixels = 0.f; - uint z_index = gl_GlobalInvocationID.z; - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w); - - float temp; - float temp_weight; - for(int d = 0; d < int(weights_depth); ++d) - { - temp = LOAD_CURRENT_ITEM(src_ptr, src_iter); - temp_weight = LOAD_CURRENT_ITEM(weights_ptr, weights_iter); - pixels += temp * temp_weight; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } - -#ifdef BIAS - pixels += LOAD(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels = ACT_OP(pixels); -#endif /* FUSED_ACTIVATION */ - - STORE_CURRENT_ITEM(dst_ptr, dst_iter, pixels); -} - -#elif defined(DATA_TYPE_FP16) -#if defined(PROCESS_4X_1Y_1Z) -TENSOR_DECLARATION(1, srcBuffer, uvec2, src_ptr, src_shift, 3, readonly); -TENSOR_DECLARATION(2, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly); -TENSOR_DECLARATION(3, weightsBuffer, uint, weights_ptr, weights_shift, 2, readonly); -#ifdef BIAS -TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly); -#endif /* BIAS */ - -#if STRIDE_X == 2 -#define CONVOLVE(s, w) convolve_stride2(s, w) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE(s, w) convolve_stride1(s, w) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4 convolve_stride1(ImageIterator src_iter, float w) -{ - vec4 s; - s = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter); - - s *= w; - - return s; -} - -vec4 convolve_stride2(ImageIterator src_iter, float w) -{ - vec4 s[2]; - vec4 r; - - s[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter); - s[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 4, 0)); - r = vec4(s[0].xz, s[1].xz); - - r *= w; - - return r; -} - -void main() -{ - ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); - Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - -#ifdef BIAS - VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift); -#endif /* BIAS */ - - vec4 pixels = vec4(0.f); - - uint z_index = gl_GlobalInvocationID.z; - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w); - -#ifdef WEIGHTS_OPTIMIZATION - float w1, w2; - int nums = (int(weights_depth)) / 2; - for(int d = 0; d < nums; ++d) - { - vec2 vec2_w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter); - - w1 = vec2_w.x; - vec4 r1 = CONVOLVE(src_iter, w1); - pixels += r1; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - - w2 = vec2_w.y; - vec4 r2 = CONVOLVE(src_iter, w2); - pixels += r2; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z * uint(2)); - } -#else /* WEIGHTS_OPTIMIZATION */ - float w; - for(int d = 0; d < int(weights_depth); ++d) - { - w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter).x; - - vec4 r = CONVOLVE(src_iter, w); - pixels += r; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } -#endif /* WEIGHTS_OPTIMIZATION */ - -#ifdef BIAS - vec2 vec2_b; - float b; - - vec2_b = LOAD_UNPACK2_HALF(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - pixels += b; -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels = ACT_OP(pixels); -#endif /* FUSED_ACTIVATION */ - - STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, pixels); -} -#elif defined(PROCESS_4X_2Y_1Z) -TENSOR_DECLARATION(1, srcBuffer, uvec2, src_ptr, src_shift, 3, readonly); -TENSOR_DECLARATION(2, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly); -TENSOR_DECLARATION(3, weightsBuffer, uint, weights_ptr, weights_shift, 2, readonly); -#ifdef BIAS -TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly); -#endif /* BIAS */ - -#if STRIDE_X == 2 -#define CONVOLVE(s, w) convolve_stride2(s, w) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE(s, w) convolve_stride1(s, w) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4[2] convolve_stride1(ImageIterator src_iter, float w) -{ - vec4 s[2]; - s[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter); - s[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, int(STRIDE_Y))); - - s[0] *= w; - s[1] *= w; - - return s; -} - -vec4[2] convolve_stride2(ImageIterator src_iter, float w) -{ - vec4 s1[2]; - vec4 s2[2]; - vec4 r[2]; - - s1[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter); - s1[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 4, 0)); - r[0] = vec4(s1[0].xz, s1[1].xz); - - s2[0] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, int(STRIDE_Y))); - s2[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 4, int(STRIDE_Y))); - r[1] = vec4(s2[0].xz, s2[1].xz); - - r[0] *= w; - r[1] *= w; - - return r; -} - -void main() -{ - ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); - Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - -#ifdef BIAS - VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift); -#endif /* BIAS */ - - vec4 pixels[2]; - pixels[0] = vec4(0.f); - pixels[1] = vec4(0.f); - - uint z_index = gl_GlobalInvocationID.z; - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w); - -#ifdef WEIGHTS_OPTIMIZATION - float w1, w2; - int nums = (int(weights_depth)) / 2; - for(int d = 0; d < nums; ++d) - { - vec2 vec2_w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter); - - w1 = vec2_w.x; - vec4 r1[2] = CONVOLVE(src_iter, w1); - pixels[0] += r1[0]; - pixels[1] += r1[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - - w2 = vec2_w.y; - vec4 r2[2] = CONVOLVE(src_iter, w2); - pixels[0] += r2[0]; - pixels[1] += r2[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z * uint(2)); - } -#else /* WEIGHTS_OPTIMIZATION */ - float w; - for(int d = 0; d < int(weights_depth); ++d) - { - w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter).x; - - vec4 r[2] = CONVOLVE(src_iter, w); - pixels[0] += r[0]; - pixels[1] += r[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } -#endif /* WEIGHTS_OPTIMIZATION */ - -#ifdef BIAS - vec2 vec2_b; - float b; - - vec2_b = LOAD_UNPACK2_HALF(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - pixels[0] += b; - pixels[1] += b; -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels[0] = ACT_OP(pixels[0]); - pixels[1] = ACT_OP(pixels[1]); -#endif /* FUSED_ACTIVATION */ - - STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, pixels[0]); - STORE_PACK4_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 1, 0), pixels[1]); -} -#elif defined(PROCESS_4X_3Y_1Z) -TENSOR_DECLARATION(1, srcBuffer, uvec2, src_ptr, src_shift, 3, readonly); -TENSOR_DECLARATION(2, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly); -TENSOR_DECLARATION(3, weightsBuffer, uint, weights_ptr, weights_shift, 2, readonly); -#ifdef BIAS -TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly); -#endif /* BIAS */ - -#if STRIDE_X == 2 -#define CONVOLVE(s, w) convolve_stride2(s, w) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE(s, w) convolve_stride1(s, w) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4[3] convolve_stride1(ImageIterator src_iter, float w) -{ - vec4 s[3]; - s[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter); - s[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, int(STRIDE_Y))); - s[2] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, (2 * int(STRIDE_Y)))); - - s[0] *= w; - s[1] *= w; - s[2] *= w; - - return s; -} - -vec4[3] convolve_stride2(ImageIterator src_iter, float w) -{ - vec4 s1[2]; - vec4 s2[2]; - vec4 s3[2]; - vec4 r[3]; - - s1[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter); - s1[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 4, 0)); - r[0] = vec4(s1[0].xz, s1[1].xz); - - s2[0] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, int(STRIDE_Y))); - s2[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 4, int(STRIDE_Y))); - r[1] = vec4(s2[0].xz, s2[1].xz); - - s3[0] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, (2 * int(STRIDE_Y)))); - s3[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 4, (2 * int(STRIDE_Y)))); - r[2] = vec4(s3[0].xz, s3[1].xz); - - r[0] *= w; - r[1] *= w; - r[2] *= w; - - return r; -} - -void main() -{ - ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); - Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - -#ifdef BIAS - VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift); -#endif /* BIAS */ - - vec4 pixels[3]; - pixels[0] = vec4(0.f); - pixels[1] = vec4(0.f); - pixels[2] = vec4(0.f); - - uint z_index = gl_GlobalInvocationID.z; - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w); - -#ifdef WEIGHTS_OPTIMIZATION - float w1, w2; - int nums = (int(weights_depth)) / 2; - for(int d = 0; d < nums; ++d) - { - vec2 vec2_w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter); - - w1 = vec2_w.x; - vec4 r1[3] = CONVOLVE(src_iter, w1); - pixels[0] += r1[0]; - pixels[1] += r1[1]; - pixels[2] += r1[2]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - - w2 = vec2_w.y; - vec4 r2[3] = CONVOLVE(src_iter, w2); - pixels[0] += r2[0]; - pixels[1] += r2[1]; - pixels[2] += r2[2]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z * uint(2)); - } -#else /* WEIGHTS_OPTIMIZATION */ - float w; - for(int d = 0; d < int(weights_depth); ++d) - { - w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter).x; - - vec4 r[3] = CONVOLVE(src_iter, w); - pixels[0] += r[0]; - pixels[1] += r[1]; - pixels[2] += r[2]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } -#endif /* WEIGHTS_OPTIMIZATION */ - -#ifdef BIAS - vec2 vec2_b; - float b; - - vec2_b = LOAD_UNPACK2_HALF(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - pixels[0] += b; - pixels[1] += b; - pixels[2] += b; -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels[0] = ACT_OP(pixels[0]); - pixels[1] = ACT_OP(pixels[1]); - pixels[2] = ACT_OP(pixels[2]); -#endif /* FUSED_ACTIVATION */ - - STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, pixels[0]); - STORE_PACK4_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 1, 0), pixels[1]); - STORE_PACK4_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 2, 0), pixels[2]); -} -#elif defined(PROCESS_4X_4Y_1Z) -TENSOR_DECLARATION(1, srcBuffer, uvec2, src_ptr, src_shift, 3, readonly); -TENSOR_DECLARATION(2, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly); -TENSOR_DECLARATION(3, weightsBuffer, uint, weights_ptr, weights_shift, 2, readonly); -#ifdef BIAS -TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly); -#endif /* BIAS */ - -#if STRIDE_X == 2 -#define CONVOLVE(s, w, x1, y1) convolve_stride2(s, w, x1, y1) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE(s, w, x1, y1) convolve_stride1(s, w, x1, y1) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4[2] convolve_stride1(ImageIterator src_iter, float w, int x1, int y1) -{ - vec4 s[2]; - s[0] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, x1, y1)); - s[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, x1, (y1 + int(STRIDE_Y)))); - - s[0] *= w; - s[1] *= w; - - return s; -} - -vec4[2] convolve_stride2(ImageIterator src_iter, float w, int x1, int y1) -{ - vec4 s1[2]; - vec4 s2[2]; - vec4 r[2]; - - s1[0] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, x1, y1)); - s1[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, (4 + x1), y1)); - r[0] = vec4(s1[0].xz, s1[1].xz); - - s2[0] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, x1, (y1 + int(STRIDE_Y)))); - s2[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, (4 + x1), (y1 + int(STRIDE_Y)))); - r[1] = vec4(s2[0].xz, s2[1].xz); - - r[0] *= w; - r[1] *= w; - - return r; -} - -void main() -{ - ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); - Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - -#ifdef BIAS - VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift); -#endif /* BIAS */ - - vec4 pixels[2]; - vec4 pixels1[2]; - pixels[0] = vec4(0.f); - pixels[1] = vec4(0.f); - pixels1[0] = vec4(0.f); - pixels1[1] = vec4(0.f); - - uint z_index = gl_GlobalInvocationID.z; - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w); - -#ifdef WEIGHTS_OPTIMIZATION - float w1, w2; - int nums = (int(weights_depth)) / 2; - for(int d = 0; d < nums; ++d) - { - vec2 vec2_w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter); - - w1 = vec2_w.x; - vec4 r1[2] = CONVOLVE(src_iter, w1, 0, 0); - vec4 r2[2] = CONVOLVE(src_iter, w1, 0, (2 * int(STRIDE_Y))); - pixels[0] += r1[0]; - pixels[1] += r1[1]; - pixels1[0] += r2[0]; - pixels1[1] += r2[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - - w2 = vec2_w.y; - vec4 r3[2] = CONVOLVE(src_iter, w2, 0, 0); - vec4 r4[2] = CONVOLVE(src_iter, w2, 0, (2 * int(STRIDE_Y))); - pixels[0] += r3[0]; - pixels[1] += r3[1]; - pixels1[0] += r4[0]; - pixels1[1] += r4[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z * uint(2)); - } -#else /* WEIGHTS_OPTIMIZATION */ - float w; - for(int d = 0; d < int(weights_depth); ++d) - { - w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter).x; - - vec4 r1[2] = CONVOLVE(src_iter, w, 0, 0); - vec4 r2[2] = CONVOLVE(src_iter, w, 0, (2 * int(STRIDE_Y))); - pixels[0] += r1[0]; - pixels[1] += r1[1]; - pixels1[0] += r2[0]; - pixels1[1] += r2[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } -#endif /* WEIGHTS_OPTIMIZATION */ - -#ifdef BIAS - vec2 vec2_b; - float b; - - vec2_b = LOAD_UNPACK2_HALF(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - pixels[0] += b; - pixels[1] += b; - pixels1[0] += b; - pixels1[1] += b; -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels[0] = ACT_OP(pixels[0]); - pixels[1] = ACT_OP(pixels[1]); - pixels1[0] = ACT_OP(pixels1[0]); - pixels1[1] = ACT_OP(pixels1[1]); -#endif /* FUSED_ACTIVATION */ - - STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, pixels[0]); - STORE_PACK4_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 1, 0), pixels[1]); - STORE_PACK4_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 2, 0), pixels1[0]); - STORE_PACK4_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 3, 0), pixels1[1]); -} -#elif defined(PROCESS_4X_2Y_2Z) -TENSOR_DECLARATION(1, srcBuffer, uvec2, src_ptr, src_shift, 3, readonly); -TENSOR_DECLARATION(2, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly); -TENSOR_DECLARATION(3, weightsBuffer, uint, weights_ptr, weights_shift, 2, readonly); -#ifdef BIAS -TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly); -#endif /* BIAS */ - -#if STRIDE_X == 2 -#define CONVOLVE(s, w) convolve_stride2(s, w) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE(s, w) convolve_stride1(s, w) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4[2] convolve_stride1(ImageIterator src_iter, float w) -{ - vec4 s[2]; - s[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter); - s[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, int(STRIDE_Y))); - - s[0] *= w; - s[1] *= w; - - return s; -} - -vec4[2] convolve_stride2(ImageIterator src_iter, float w) -{ - vec4 s1[2]; - vec4 s2[2]; - vec4 r[2]; - - s1[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter); - s1[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 4, 0)); - r[0] = vec4(s1[0].xz, s1[1].xz); - - s2[0] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, int(STRIDE_Y))); - s2[1] = LOAD_UNPACK4_HALF(src_ptr, IMAGE_OFFSET(src_iter, 4, int(STRIDE_Y))); - r[1] = vec4(s2[0].xz, s2[1].xz); - - r[0] *= w; - r[1] *= w; - - return r; -} - -void main() -{ - ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); - Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - -#ifdef BIAS - VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift); -#endif /* BIAS */ - - uint z_base_index = uint(gl_GlobalInvocationID.z) << uint(1); - - // store orginal src current offset - int s_offset_in_bytes = src_iter.current_offset_in_bytes; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_base_index * weights_stride_w); - - for(int z = 0; z < 2; ++z) - { - uint z_index = z_base_index + uint(z); - - src_iter.current_offset_in_bytes = s_offset_in_bytes; - - vec4 pixels[2]; - pixels[0] = vec4(0.f); - pixels[1] = vec4(0.f); - -#ifdef WEIGHTS_OPTIMIZATION - float w1, w2; - int nums = (int(weights_depth)) / 2; - for(int d = 0; d < nums; ++d) - { - vec2 vec2_w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter); - - w1 = vec2_w.x; - vec4 r1[2] = CONVOLVE(src_iter, w1); - pixels[0] += r1[0]; - pixels[1] += r1[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - - w2 = vec2_w.y; - vec4 r2[2] = CONVOLVE(src_iter, w2); - pixels[0] += r2[0]; - pixels[1] += r2[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z * uint(2)); - } -#else /* WEIGHTS_OPTIMIZATION */ - float w; - for(int d = 0; d < int(weights_depth); ++d) - { - w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter).x; - - vec4 r[2] = CONVOLVE(src_iter, w); - pixels[0] += r[0]; - pixels[1] += r[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } -#endif /* WEIGHTS_OPTIMIZATION */ - -#ifdef BIAS - vec2 vec2_b; - float b; - - vec2_b = LOAD_UNPACK2_HALF(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - pixels[0] += b; - pixels[1] += b; -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels[0] = ACT_OP(pixels[0]); - pixels[1] = ACT_OP(pixels[1]); -#endif /* FUSED_ACTIVATION */ - - STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, pixels[0]); - STORE_PACK4_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 1, 0), pixels[1]); - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(dst_iter, dst_attrs.stride_z); - } -} -#elif defined(PROCESS_8X_1Y_1Z) -TENSOR_DECLARATION(1, srcBuffer, uvec4, src_ptr, src_shift, 4, readonly); -TENSOR_DECLARATION(2, dstBuffer, uvec4, dst_ptr, dst_shift, 4, writeonly); -TENSOR_DECLARATION(3, weightsBuffer, uint, weights_ptr, weights_shift, 2, readonly); -#ifdef BIAS -TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly); -#endif /* BIAS */ - -#if STRIDE_X == 2 -#define CONVOLVE(s, w) convolve_stride2(s, w) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE(s, w) convolve_stride1(s, w) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4[2] convolve_stride1(ImageIterator src_iter, float w) -{ - vec4 s[2]; - s = LOAD_UNPACK8_CURRENT_ITEM_HALF(src_ptr, src_iter); - - s[0] *= w; - s[1] *= w; - - return s; -} - -vec4[2] convolve_stride2(ImageIterator src_iter, float w) -{ - vec4 s1[2]; - vec4 s2[2]; - vec4 r[2]; - - s1 = LOAD_UNPACK8_CURRENT_ITEM_HALF(src_ptr, src_iter); - r[0] = vec4(s1[0].xz, s1[1].xz); - s2 = LOAD_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 8, 0)); - r[1] = vec4(s2[0].xz, s2[1].xz); - - r[0] *= w; - r[1] *= w; - - return r; -} - -void main() -{ - ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); - Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - -#ifdef BIAS - VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift); -#endif /* BIAS */ - - vec4 pixels[2]; - pixels[0] = vec4(0.f); - pixels[1] = vec4(0.f); - - uint z_index = gl_GlobalInvocationID.z; - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w); - -#ifdef WEIGHTS_OPTIMIZATION - float w1, w2; - int nums = (int(weights_depth)) / 2; - for(int d = 0; d < nums; ++d) - { - vec2 vec2_w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter); - - w1 = vec2_w.x; - vec4 r1[2] = CONVOLVE(src_iter, w1); - pixels[0] += r1[0]; - pixels[1] += r1[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - - w2 = vec2_w.y; - vec4 r2[2] = CONVOLVE(src_iter, w2); - pixels[0] += r2[0]; - pixels[1] += r2[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z * uint(2)); - } -#else /* WEIGHTS_OPTIMIZATION */ - float w; - for(int d = 0; d < int(weights_depth); ++d) - { - w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter).x; - - vec4 r[2] = CONVOLVE(src_iter, w); - pixels[0] += r[0]; - pixels[1] += r[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } -#endif /* WEIGHTS_OPTIMIZATION */ - -#ifdef BIAS - vec2 vec2_b; - float b; - - vec2_b = LOAD_UNPACK2_HALF(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - pixels[0] += b; - pixels[1] += b; -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels[0] = ACT_OP(pixels[0]); - pixels[1] = ACT_OP(pixels[1]); -#endif /* FUSED_ACTIVATION */ - - STORE_PACK8_CURRENT_ITEM_HALF(dst_ptr, dst_iter, pixels); -} -#elif defined(PROCESS_8X_2Y_1Z) -TENSOR_DECLARATION(1, srcBuffer, uvec4, src_ptr, src_shift, 4, readonly); -TENSOR_DECLARATION(2, dstBuffer, uvec4, dst_ptr, dst_shift, 4, writeonly); -TENSOR_DECLARATION(3, weightsBuffer, uint, weights_ptr, weights_shift, 2, readonly); -#ifdef BIAS -TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly); -#endif /* BIAS */ - -#if STRIDE_X == 2 -#define CONVOLVE(s, w, x1, y1) convolve_stride2(s, w, x1, y1) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE(s, w, x1, y1) convolve_stride1(s, w, x1, y1) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4[2] convolve_stride1(ImageIterator src_iter, float w, int x1, int y1) -{ - vec4 s[2]; - s = LOAD_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, x1, y1)); - - s[0] *= w; - s[1] *= w; - - return s; -} - -vec4[2] convolve_stride2(ImageIterator src_iter, float w, int x1, int y1) -{ - vec4 s1[2]; - vec4 s2[2]; - vec4 r[2]; - - s1 = LOAD_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, x1, y1)); - r[0] = vec4(s1[0].xz, s1[1].xz); - s2 = LOAD_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, (8 + x1), y1)); - r[1] = vec4(s2[0].xz, s2[1].xz); - - r[0] *= w; - r[1] *= w; - - return r; -} - -void main() -{ - ImageIterator src_iter = CONVERT_TO_IMAGE_ITERATOR(src_attrs, src_shift); - Tensor3DIterator weights_iter = CONVERT_TO_TENSOR3D_ITERATOR_NO_STEP(weights_attrs, weights_shift); - Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift); - -#ifdef BIAS - VectorIterator biases_iter = CONVERT_TO_VECTOR_ITERATOR_NO_STEP(biases_attrs, biases_shift); -#endif /* BIAS */ - - vec4 pixels[2]; - vec4 pixels1[2]; - pixels[0] = vec4(0.f); - pixels[1] = vec4(0.f); - pixels1[0] = vec4(0.f); - pixels1[1] = vec4(0.f); - - uint z_index = gl_GlobalInvocationID.z; - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w); - -#ifdef WEIGHTS_OPTIMIZATION - float w1, w2; - int nums = (int(weights_depth)) / 2; - for(int d = 0; d < nums; ++d) - { - vec2 vec2_w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter); - - w1 = vec2_w.x; - vec4 r1[2] = CONVOLVE(src_iter, w1, 0, 0); - vec4 r2[2] = CONVOLVE(src_iter, w1, 0, (int(STRIDE_Y))); - pixels[0] += r1[0]; - pixels[1] += r1[1]; - pixels1[0] += r2[0]; - pixels1[1] += r2[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - - w2 = vec2_w.y; - vec4 r3[2] = CONVOLVE(src_iter, w2, 0, 0); - vec4 r4[2] = CONVOLVE(src_iter, w2, 0, (int(STRIDE_Y))); - pixels[0] += r3[0]; - pixels[1] += r3[1]; - pixels1[0] += r4[0]; - pixels1[1] += r4[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z * uint(2)); - } -#else /* WEIGHTS_OPTIMIZATION */ - float w; - for(int d = 0; d < int(weights_depth); ++d) - { - w = LOAD_UNPACK2_CURRENT_ITEM_HALF(weights_ptr, weights_iter).x; - - vec4 r1[2] = CONVOLVE(src_iter, w, 0, 0); - vec4 r2[2] = CONVOLVE(src_iter, w, 0, (int(STRIDE_Y))); - pixels[0] += r1[0]; - pixels[1] += r1[1]; - pixels1[0] += r2[0]; - pixels1[1] += r2[1]; - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } -#endif /* WEIGHTS_OPTIMIZATION */ - -#ifdef BIAS - vec2 vec2_b; - float b; - - vec2_b = LOAD_UNPACK2_HALF(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - pixels[0] += b; - pixels[1] += b; - pixels1[0] += b; - pixels1[1] += b; -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels[0] = ACT_OP(pixels[0]); - pixels[1] = ACT_OP(pixels[1]); - pixels1[0] = ACT_OP(pixels1[0]); - pixels1[1] = ACT_OP(pixels1[1]); -#endif /* FUSED_ACTIVATION */ - - STORE_PACK8_CURRENT_ITEM_HALF(dst_ptr, dst_iter, pixels); - STORE_PACK8_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 1, 0), pixels1); -} -#endif /* PROCESS_4X_1Y_1Z */ -#else /* DATA_TYPE_FP32 */ -#error Data type not supported -#endif /* DATA_TYPE_FP32 */ |