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Diffstat (limited to 'src/core/GLES_COMPUTE/cs_shaders/direct_convolution5x5.cs')
| -rw-r--r-- | src/core/GLES_COMPUTE/cs_shaders/direct_convolution5x5.cs | 225 |
1 files changed, 0 insertions, 225 deletions
diff --git a/src/core/GLES_COMPUTE/cs_shaders/direct_convolution5x5.cs b/src/core/GLES_COMPUTE/cs_shaders/direct_convolution5x5.cs deleted file mode 100644 index 728e9644b2..0000000000 --- a/src/core/GLES_COMPUTE/cs_shaders/direct_convolution5x5.cs +++ /dev/null @@ -1,225 +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" - * This OpenGL ES shader works with stride_x = 1 and 2 - * @note If biases are used then "define HAS_BIAS" has to be passed at compile time - * - * @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[out] 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; -}; - -#ifdef 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[5]; - float temp_weight[5]; - for(int d = 0; d < int(weights_depth); ++d) - { - temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 0)); - temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 0, 0)); - pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; - - temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 1)); - temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; - - temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 2)); - temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; - - temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 3)); - temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 3, 0)); - pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; - - temp = VLOAD5(float[5], src_ptr, IMAGE_OFFSET(src_iter, 0, 4)); - temp_weight = VLOAD5(float[5], weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 4, 0)); - pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; - - 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) - -// Common definitions for DATA_TYPE_FP16 -#if STRIDE_X == 1 -#define LOAD_SRC_AT_ROW(row) VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, row)) -#define CONVOLVE1x5(src, weight) convolve1x5_stride1(src, weight) -#elif STRIDE_X == 2 /* STRIDE_X == 1 */ -#define LOAD_SRC_AT_ROW(row) VLOAD3_UNPACK12_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, row)) -#define CONVOLVE1x5(src, weight) convolve1x5_stride2(src, weight) -#else /* STRDIDE_X == 1 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 1 */ - -#define LOAD_WEIGHT_AT_ROW(row) VLOAD3_UNPACK6_HALF(weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, row, 0)) - -vec4 convolve1x5_stride1(vec4 tmp[2], vec2 w[3]) -{ - vec4 src0 = tmp[0]; - vec4 src1 = vec4(tmp[0].yzw, tmp[1].x); - vec4 src2 = vec4(tmp[0].zw, tmp[1].xy); - vec4 src3 = vec4(tmp[0].w, tmp[1].xyz); - vec4 src4 = tmp[1]; - vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; - - return ret; -} - -vec4 convolve1x5_stride2(vec4 tmp[3], vec2 w[3]) -{ - vec4 src0 = vec4(tmp[0].xz, tmp[1].xz); - vec4 src1 = vec4(tmp[0].yw, tmp[1].yw); - vec4 src2 = vec4(tmp[0].z, tmp[1].xz, tmp[2].x); - vec4 src3 = vec4(tmp[0].w, tmp[1].yw, tmp[2].y); - vec4 src4 = vec4(tmp[1].x, tmp[1].z, tmp[2].xz); - vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; - - return ret; -} - -#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 */ - -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 res = vec4(0); - vec2 w[3]; - vec4 s[STRIDE_X + 1]; - - uint z_index = gl_GlobalInvocationID.z; - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, z_index * weights_stride_w); - - for(int d = 0; d < int(weights_depth); ++d) - { - for(int row = 0; row < 5; row++) - { - w = LOAD_WEIGHT_AT_ROW(row); - s = LOAD_SRC_AT_ROW(row); - res += CONVOLVE1x5(s, w); - } - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } - -#ifdef BIAS - vec2 vec2_b; - float b; - - vec2_b = LOAD_UNPACK2_HALF(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - b = (z_index % uint(2) == uint(0)) ? vec2_b.x : vec2_b.y; - res += vec4(b); -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - res = ACT_OP(res); -#endif /* FUSED_ACTIVATION */ - - STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, res); -} - -#endif /* PROCESS_nX_nY_nZ */ -#else /* DATA_TYPE_FP32 */ -#error Data type not supported -#endif /* DATA_TYPE_FP32 */ |