| /* |
| * 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 */ |