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Diffstat (limited to 'src/core/GLES_COMPUTE/cs_shaders/direct_convolution3x3.cs')
| -rw-r--r-- | src/core/GLES_COMPUTE/cs_shaders/direct_convolution3x3.cs | 1155 |
1 files changed, 0 insertions, 1155 deletions
diff --git a/src/core/GLES_COMPUTE/cs_shaders/direct_convolution3x3.cs b/src/core/GLES_COMPUTE/cs_shaders/direct_convolution3x3.cs deleted file mode 100644 index e51cc3785a..0000000000 --- a/src/core/GLES_COMPUTE/cs_shaders/direct_convolution3x3.cs +++ /dev/null @@ -1,1155 +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 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) -#if defined(PROCESS_1X_1Y_1Z) -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); - - for(int d = 0; d < int(weights_depth); ++d) - { - vec3 temp; - vec3 w; - - temp = VLOAD3(vec3, src_ptr, IMAGE_OFFSET(src_iter, 0, 0)); - w = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 0, 0)); - - pixels += temp.x * w[0] + temp.y * w[1] + temp.z * w[2]; - - temp = VLOAD3(vec3, src_ptr, IMAGE_OFFSET(src_iter, 0, 1)); - w = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - - pixels += temp.x * w[0] + temp.y * w[1] + temp.z * w[2]; - - temp = VLOAD3(vec3, src_ptr, IMAGE_OFFSET(src_iter, 0, 2)); - w = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - - pixels += temp.x * w[0] + temp.y * w[1] + temp.z * w[2]; - - 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(PROCESS_8X_1Y_1Z) - -TENSOR_DECLARATION(1, srcBuffer, vec4, src_ptr, src_shift, 4, readonly); -TENSOR_DECLARATION(2, dstBuffer, vec4, dst_ptr, dst_shift, 4, 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 */ - -#if STRIDE_X == 2 -#define CONVOLVE1x3(offset, w) convolve1x3_stride2(offset, w) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE1x3(offset, w) convolve1x3_stride1(offset, w) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4[2] convolve1x3_stride1(uint offset, vec3 w) -{ - vec4 middle; - vec4 right; - vec4 tmp[3]; - vec4 r[2]; - - tmp = VLOAD3(vec4[3], src_ptr, offset); - - middle = vec4(tmp[0].yzw, tmp[1].x); - right = vec4(tmp[0].zw, tmp[1].xy); - - r[0] = tmp[0] * w[0] + middle * w[1] + right * w[2]; - - middle = vec4(tmp[1].yzw, tmp[2].x); - right = vec4(tmp[1].zw, tmp[2].xy); - - r[1] = tmp[1] * w[0] + middle * w[1] + right * w[2]; - - return r; -} - -vec4[2] convolve1x3_stride2(uint offset, vec3 w) -{ - vec4 left; - vec4 middle; - vec4 right; - vec4 tmp1[3]; - vec4 tmp2[2]; - vec4 r[2]; - - tmp1 = VLOAD3(vec4[3], src_ptr, offset); - - left = vec4(tmp1[0].xz, tmp1[1].xz); - middle = vec4(tmp1[0].yw, tmp1[1].yw); - right = vec4(tmp1[0].z, tmp1[1].xz, tmp1[2].x); - - r[0] = left * w[0] + middle * w[1] + right * w[2]; - - tmp2 = VLOAD2(vec4[2], src_ptr, offset + uint(3)); - - left = vec4(tmp1[2].xz, tmp2[0].xz); - middle = vec4(tmp1[2].yw, tmp2[0].yw); - right = vec4(tmp1[2].z, tmp2[0].xz, tmp2[1].x); - - r[1] = left * w[0] + middle * w[1] + right * w[2]; - - 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); - pixels[1] = vec4(0); - - 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) - { - // load 3 weights once - vec3 w; - vec4 r[2]; - - // first line - w = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 0, 0)); - - r = CONVOLVE1x3(CURRENT_ITEM_OFFSET(src_iter), w); - pixels[0] += r[0]; - pixels[1] += r[1]; - - // second line - w = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - - r = CONVOLVE1x3(IMAGE_OFFSET(src_iter, 0, 1), w); - pixels[0] += r[0]; - pixels[1] += r[1]; - - // third line - w = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - - r = CONVOLVE1x3(IMAGE_OFFSET(src_iter, 0, 2), 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); - } - -#ifdef BIAS - float b = LOAD(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - pixels[0] += vec4(b); - pixels[1] += vec4(b); -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels[0] = ACT_OP(pixels[0]); - pixels[1] = ACT_OP(pixels[1]); -#endif /* FUSED_ACTIVATION */ - - VSTORE2_CURRENT_ITEM(dst_ptr, dst_iter, pixels); -} - -#elif defined(PROCESS_4X_1Y_1Z) - -TENSOR_DECLARATION(1, srcBuffer, vec4, src_ptr, src_shift, 4, readonly); -TENSOR_DECLARATION(2, dstBuffer, vec4, dst_ptr, dst_shift, 4, 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 */ - -#if STRIDE_X == 2 -#define CONVOLVE1x3(offset, w) convolve1x3_stride2(offset, w) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE1x3(offset, w) convolve1x3_stride1(offset, w) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4 convolve1x3_stride1(uint offset, vec3 w) -{ - vec4 tmp[2]; - vec4 middle; - vec4 right; - - tmp = VLOAD2(vec4[2], src_ptr, offset); - - middle = vec4(tmp[0].yzw, tmp[1].x); - right = vec4(tmp[0].zw, tmp[1].xy); - - tmp[1] = tmp[0] * w[0] + middle * w[1] + right * w[2]; - - return tmp[1]; -} - -vec4 convolve1x3_stride2(uint offset, vec3 w) -{ - vec4 left; - vec4 middle; - vec4 right; - - vec4 tmp[3]; - - tmp = VLOAD3(vec4[3], src_ptr, offset); - - left = vec4(tmp[0].xz, tmp[1].xz); - middle = vec4(tmp[0].yw, tmp[1].yw); - right = vec4(tmp[0].z, tmp[1].xz, tmp[2].x); - - tmp[0] = left * w[0] + middle * w[1] + right * w[2]; - - return tmp[0]; -} - -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; - pixels = vec4(0.f); - - 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) - { - // load 3 weights once - vec3 w; - - // first line - w = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 0, 0)); - pixels += CONVOLVE1x3(CURRENT_ITEM_OFFSET(src_iter), w); - - // second line - w = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - pixels += CONVOLVE1x3(IMAGE_OFFSET(src_iter, 0, 1), w); - - // third line - w = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - pixels += CONVOLVE1x3(IMAGE_OFFSET(src_iter, 0, 2), 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 - float b = LOAD(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - pixels += b; -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels = ACT_OP(pixels); -#endif /* FUSED_ACTIVATION */ - - STORE_CURRENT_ITEM(dst_ptr, dst_iter, pixels); -} - -#elif defined(PROCESS_4X_3Y_1Z) - -TENSOR_DECLARATION(1, srcBuffer, vec4, src_ptr, src_shift, 4, readonly); -TENSOR_DECLARATION(2, dstBuffer, vec4, dst_ptr, dst_shift, 4, 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 */ - -#define CONVOLVE1x3(left, middle, right, w) convolve1x3_stride1(left, middle, right, w) - -vec4 convolve1x3_stride1(vec4 left, vec4 middle, vec4 right, vec3 w) -{ - vec4 r; - - r = left * w[0] + middle * w[1] + right * w[2]; - - 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); - pixels[1] = vec4(0); - pixels[2] = vec4(0); - - 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) - { - // load 3 weights once - vec3 w[3]; - - w[0] = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 0, 0)); - w[1] = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - w[2] = VLOAD3(vec3, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - - vec4 s[2]; - vec4 middle; - vec4 right; - // first line - s = VLOAD2_CURRENT_ITEM(vec4[2], src_ptr, src_iter); - middle = vec4(s[0].yzw, s[1].x); - right = vec4(s[0].zw, s[1].xy); - pixels[0] += CONVOLVE1x3(s[0], middle, right, w[0]); - - // second line - s = VLOAD2(vec4[2], src_ptr, IMAGE_OFFSET(src_iter, 0, 1)); - middle = vec4(s[0].yzw, s[1].x); - right = vec4(s[0].zw, s[1].xy); - pixels[0] += CONVOLVE1x3(s[0], middle, right, w[1]); - pixels[1] += CONVOLVE1x3(s[0], middle, right, w[0]); - - // third line - s = VLOAD2(vec4[2], src_ptr, IMAGE_OFFSET(src_iter, 0, 2)); - middle = vec4(s[0].yzw, s[1].x); - right = vec4(s[0].zw, s[1].xy); - pixels[0] += CONVOLVE1x3(s[0], middle, right, w[2]); - pixels[1] += CONVOLVE1x3(s[0], middle, right, w[1]); - pixels[2] += CONVOLVE1x3(s[0], middle, right, w[0]); - - // forth line - s = VLOAD2(vec4[2], src_ptr, IMAGE_OFFSET(src_iter, 0, 3)); - middle = vec4(s[0].yzw, s[1].x); - right = vec4(s[0].zw, s[1].xy); - pixels[1] += CONVOLVE1x3(s[0], middle, right, w[2]); - pixels[2] += CONVOLVE1x3(s[0], middle, right, w[1]); - - // fifth line - s = VLOAD2(vec4[2], src_ptr, IMAGE_OFFSET(src_iter, 0, 4)); - middle = vec4(s[0].yzw, s[1].x); - right = vec4(s[0].zw, s[1].xy); - pixels[2] += CONVOLVE1x3(s[0], middle, right, w[2]); - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, src_attrs.stride_z); - TENSOR_ITERATOR_ADVANCE_IN_BYTES(weights_iter, weights_attrs.stride_z); - } - -#ifdef BIAS - float b = LOAD(biases_ptr, VECTOR_OFFSET(biases_iter, z_index)); - - pixels[0] += vec4(b); - pixels[1] += vec4(b); - pixels[2] += vec4(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_CURRENT_ITEM(dst_ptr, dst_iter, pixels[0]); - STORE(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 1, 0), pixels[1]); - STORE(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 2, 0), pixels[2]); -} - -#endif // PROCESS_nX_nY - -#elif defined(DATA_TYPE_FP16) - -#if defined(PROCESS_8X_3Y_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 */ - -#define CONVOLVE1x3(s, w) convolve1x3_stride1(s, w) - -vec4[2] convolve1x3_stride1(vec4 tmp[3], vec3 w) -{ - vec4 middle; - vec4 right; - vec4 r[2]; - - middle = vec4(tmp[0].yzw, tmp[1].x); - right = vec4(tmp[0].zw, tmp[1].xy); - - r[0] = tmp[0] * w[0] + middle * w[1] + right * w[2]; - - middle = vec4(tmp[1].yzw, tmp[2].x); - right = vec4(tmp[1].zw, tmp[2].xy); - - r[1] = tmp[1] * w[0] + middle * w[1] + right * w[2]; - - return r; -} - -vec4[3] vload2_src_unpack12_half(uint offset) -{ - uvec4 packed_s[2]; - vec4 s[3]; - - packed_s = VLOAD2(uvec4[2], src_ptr, offset); - - s[0] = vec4(unpackHalf2x16(packed_s[0].x), unpackHalf2x16(packed_s[0].y)); - s[1] = vec4(unpackHalf2x16(packed_s[0].z), unpackHalf2x16(packed_s[0].w)); - s[2] = vec4(unpackHalf2x16(packed_s[1].x), unpackHalf2x16(packed_s[1].y)); - - return s; -} - -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][2]; - int i, j; - for(i = 0; i < 3; i++) - { - for(j = 0; j < 2; j++) - { - pixels[i][j] = vec4(0); - } - } - - 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) - { - // load 3 weights once - uvec2 packed_w[3]; - - packed_w[0] = VLOAD2_CURRENT_ITEM(uvec2, weights_ptr, weights_iter); - packed_w[1] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - packed_w[2] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - - vec3 w[3]; - w[0] = vec3(unpackHalf2x16(packed_w[0].x), unpackHalf2x16(packed_w[0].y).x); - w[1] = vec3(unpackHalf2x16(packed_w[1].x), unpackHalf2x16(packed_w[1].y).x); - w[2] = vec3(unpackHalf2x16(packed_w[2].x), unpackHalf2x16(packed_w[2].y).x); - - uvec4 packed_s[2]; - vec4 s[3]; - vec4 r[2]; - - // first line - s = vload2_src_unpack12_half(CURRENT_ITEM_OFFSET(src_iter)); - - r = CONVOLVE1x3(s, w[0]); - pixels[0][0] += r[0]; - pixels[0][1] += r[1]; - - // second line - s = vload2_src_unpack12_half(IMAGE_OFFSET(src_iter, 0, 1)); - - r = CONVOLVE1x3(s, w[1]); - pixels[0][0] += r[0]; - pixels[0][1] += r[1]; - r = CONVOLVE1x3(s, w[0]); - pixels[1][0] += r[0]; - pixels[1][1] += r[1]; - - // third line - s = vload2_src_unpack12_half(IMAGE_OFFSET(src_iter, 0, 2)); - - r = CONVOLVE1x3(s, w[2]); - pixels[0][0] += r[0]; - pixels[0][1] += r[1]; - r = CONVOLVE1x3(s, w[1]); - pixels[1][0] += r[0]; - pixels[1][1] += r[1]; - r = CONVOLVE1x3(s, w[0]); - pixels[2][0] += r[0]; - pixels[2][1] += r[1]; - - // forth line - s = vload2_src_unpack12_half(IMAGE_OFFSET(src_iter, 0, 3)); - - r = CONVOLVE1x3(s, w[2]); - pixels[1][0] += r[0]; - pixels[1][1] += r[1]; - r = CONVOLVE1x3(s, w[1]); - pixels[2][0] += r[0]; - pixels[2][1] += r[1]; - - // fifth line - s = vload2_src_unpack12_half(IMAGE_OFFSET(src_iter, 0, 4)); - - r = CONVOLVE1x3(s, w[2]); - pixels[2][0] += r[0]; - pixels[2][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); - } - -#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; - } - - for(i = 0; i < 3; i++) - { - for(j = 0; j < 2; j++) - { - pixels[i][j] += vec4(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_PACK8_CURRENT_ITEM_HALF(dst_ptr, dst_iter, pixels[0]); - STORE_PACK8_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 1, 0), pixels[1]); - STORE_PACK8_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 2, 0), pixels[2]); -} - -#elif 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 CONVOLVE1x3(s, w) convolve1x3_stride2(s, w) -#define LOAD_AND_UNPACK(offset) VLOAD3_UNPACK12_HALF(src_ptr, offset) -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ -#define CONVOLVE1x3(s, w) convolve1x3_stride1(s, w) -#define LOAD_AND_UNPACK(offset) VLOAD2_UNPACK8_HALF(src_ptr, offset) -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - -vec4 convolve1x3_stride1(vec4 tmp[2], vec3 w) -{ - vec4 middle; - vec4 right; - vec4 r; - - middle = vec4(tmp[0].yzw, tmp[1].x); - right = vec4(tmp[0].zw, tmp[1].xy); - - r = tmp[0] * w[0] + middle * w[1] + right * w[2]; - - return r; -} - -vec4 convolve1x3_stride2(vec4 tmp[3], vec3 w) -{ - vec4 left; - vec4 middle; - vec4 right; - vec4 r; - - left = vec4(tmp[0].xz, tmp[1].xz); - middle = vec4(tmp[0].yw, tmp[1].yw); - right = vec4(tmp[0].z, tmp[1].xz, tmp[2].x); - - r = left * w[0] + middle * w[1] + right * w[2]; - - 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 */ - - uvec2 packed_d; - - vec4 pixels = vec4(0); - - 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) - { - // load 3 weights once - uvec2 packed_w[3]; - - packed_w[0] = VLOAD2_CURRENT_ITEM(uvec2, weights_ptr, weights_iter); - packed_w[1] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - packed_w[2] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - - vec3 w[3]; - w[0] = vec3(unpackHalf2x16(packed_w[0].x), unpackHalf2x16(packed_w[0].y).x); - w[1] = vec3(unpackHalf2x16(packed_w[1].x), unpackHalf2x16(packed_w[1].y).x); - w[2] = vec3(unpackHalf2x16(packed_w[2].x), unpackHalf2x16(packed_w[2].y).x); - -#if STRIDE_X == 2 - vec4 s[3]; -#elif STRIDE_X == 1 /* STRIDE_X == 1 */ - vec4 s[2]; -#else /* STRIDE_X not equals 1 or 2 */ -#error STRIDE_X larger than 2 is not supported -#endif /* STRIDE_X == 2 */ - vec4 r; - - // first line - s = LOAD_AND_UNPACK(CURRENT_ITEM_OFFSET(src_iter)); - pixels += CONVOLVE1x3(s, w[0]); - - // second line - s = LOAD_AND_UNPACK(IMAGE_OFFSET(src_iter, 0, 1)); - pixels += CONVOLVE1x3(s, w[1]); - - // third line - s = LOAD_AND_UNPACK(IMAGE_OFFSET(src_iter, 0, 2)); - pixels += CONVOLVE1x3(s, w[2]); - - 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)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - pixels += vec4(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_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 */ - -#define CONVOLVE1x3(s, w) convolve1x3_stride1(s, w) - -vec4 convolve1x3_stride1(vec4 tmp[2], vec3 w) -{ - vec4 middle; - vec4 right; - vec4 r; - - middle = vec4(tmp[0].yzw, tmp[1].x); - right = vec4(tmp[0].zw, tmp[1].xy); - - r = tmp[0] * w[0] + middle * w[1] + right * w[2]; - - 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]; - int i; - - for(i = 0; i < 3; i++) - { - pixels[i] = vec4(0); - } - - 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) - { - // load 3 weights once - uvec2 packed_w[3]; - - packed_w[0] = VLOAD2_CURRENT_ITEM(uvec2, weights_ptr, weights_iter); - packed_w[1] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - packed_w[2] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - - vec3 w[3]; - w[0] = vec3(unpackHalf2x16(packed_w[0].x), unpackHalf2x16(packed_w[0].y).x); - w[1] = vec3(unpackHalf2x16(packed_w[1].x), unpackHalf2x16(packed_w[1].y).x); - w[2] = vec3(unpackHalf2x16(packed_w[2].x), unpackHalf2x16(packed_w[2].y).x); - - vec4 s[2]; - vec4 r; - - // first line - s = VLOAD2_UNPACK8_CURRENT_ITEM_HALF(src_ptr, src_iter); - pixels[0] += CONVOLVE1x3(s, w[0]); - - // second line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 1)); - pixels[0] += CONVOLVE1x3(s, w[1]); - pixels[1] += CONVOLVE1x3(s, w[0]); - - // third line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 2)); - pixels[0] += CONVOLVE1x3(s, w[2]); - pixels[1] += CONVOLVE1x3(s, w[1]); - pixels[2] += CONVOLVE1x3(s, w[0]); - - // forth line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 3)); - pixels[1] += CONVOLVE1x3(s, w[2]); - pixels[2] += CONVOLVE1x3(s, w[1]); - - // fifth line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 4)); - pixels[2] += CONVOLVE1x3(s, w[2]); - - 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)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - for(i = 0; i < 3; i++) - { - pixels[i] += vec4(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 */ - -#define CONVOLVE1x3(s, w) convolve1x3_stride1(s, w) - -vec4 convolve1x3_stride1(vec4 tmp[2], vec3 w) -{ - vec4 middle; - vec4 right; - vec4 r; - - middle = vec4(tmp[0].yzw, tmp[1].x); - right = vec4(tmp[0].zw, tmp[1].xy); - - r = tmp[0] * w[0] + middle * w[1] + right * w[2]; - - 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[4]; - int i; - - for(i = 0; i < 4; i++) - { - pixels[i] = vec4(0); - } - - 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) - { - // load 3 weights once - uvec2 packed_w[3]; - - packed_w[0] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 0, 0)); - packed_w[1] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - packed_w[2] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - - vec3 w[3]; - w[0] = vec3(unpackHalf2x16(packed_w[0].x), unpackHalf2x16(packed_w[0].y).x); - w[1] = vec3(unpackHalf2x16(packed_w[1].x), unpackHalf2x16(packed_w[1].y).x); - w[2] = vec3(unpackHalf2x16(packed_w[2].x), unpackHalf2x16(packed_w[2].y).x); - - vec4 s[2]; - vec4 r; - - // first line - s = VLOAD2_UNPACK8_CURRENT_ITEM_HALF(src_ptr, src_iter); - pixels[0] += CONVOLVE1x3(s, w[0]); - - // second line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 1)); - pixels[0] += CONVOLVE1x3(s, w[1]); - pixels[1] += CONVOLVE1x3(s, w[0]); - - // third line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 2)); - pixels[0] += CONVOLVE1x3(s, w[2]); - pixels[1] += CONVOLVE1x3(s, w[1]); - pixels[2] += CONVOLVE1x3(s, w[0]); - - // forth line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 3)); - pixels[1] += CONVOLVE1x3(s, w[2]); - pixels[2] += CONVOLVE1x3(s, w[1]); - pixels[3] += CONVOLVE1x3(s, w[0]); - - // fifth line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 4)); - pixels[2] += CONVOLVE1x3(s, w[2]); - pixels[3] += CONVOLVE1x3(s, w[1]); - - // sixth line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 5)); - pixels[3] += CONVOLVE1x3(s, w[2]); - - 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)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - for(i = 0; i < 4; i++) - { - pixels[i] += vec4(b); - } -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels[0] = ACT_OP(pixels[0]); - pixels[1] = ACT_OP(pixels[1]); - pixels[2] = ACT_OP(pixels[2]); - pixels[3] = ACT_OP(pixels[3]); -#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]); - STORE_PACK4_HALF(dst_ptr, TENSOR3D_OFFSET(dst_iter, 0, 3, 0), pixels[3]); -} -#elif defined(PROCESS_4X_3Y_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 */ - -#define CONVOLVE1x3(s, w) convolve1x3_stride1(s, w) - -vec4 convolve1x3_stride1(vec4 tmp[2], vec3 w) -{ - vec4 middle; - vec4 right; - vec4 r; - - middle = vec4(tmp[0].yzw, tmp[1].x); - right = vec4(tmp[0].zw, tmp[1].xy); - - r = tmp[0] * w[0] + middle * w[1] + right * w[2]; - - 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]; - int i; - - uint z_base_index = gl_GlobalInvocationID.z << 1; - - // store orginal src current offset - uint s_offset_in_bytes = CURRENT_ITEM_OFFSET_IN_BYTES(srcc_iter); - - 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); - - SET_TENSOR_ITERATOR_OFFSET_IN_BYTES(src_iter, s_offset_in_bytes); - - for(i = 0; i < 3; i++) - { - pixels[i] = vec4(0); - } - - for(int d = 0; d < int(weights_depth); ++d) - { - // load 3 weights once - uvec2 packed_w[3]; - - packed_w[0] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 0, 0)); - packed_w[1] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); - packed_w[2] = VLOAD2(uvec2, weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); - - vec3 w[3]; - w[0] = vec3(unpackHalf2x16(packed_w[0].x), unpackHalf2x16(packed_w[0].y).x); - w[1] = vec3(unpackHalf2x16(packed_w[1].x), unpackHalf2x16(packed_w[1].y).x); - w[2] = vec3(unpackHalf2x16(packed_w[2].x), unpackHalf2x16(packed_w[2].y).x); - - vec4 s[2]; - vec4 r; - - // first line - s = VLOAD2_UNPACK8_CURRENT_ITEM_HALF(src_ptr, src_iter); - pixels[0] += CONVOLVE1x3(s, w[0]); - - // second line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 1)); - pixels[0] += CONVOLVE1x3(s, w[1]); - pixels[1] += CONVOLVE1x3(s, w[0]); - - // third line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 2)); - pixels[0] += CONVOLVE1x3(s, w[2]); - pixels[1] += CONVOLVE1x3(s, w[1]); - pixels[2] += CONVOLVE1x3(s, w[0]); - - // forth line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 3)); - pixels[1] += CONVOLVE1x3(s, w[2]); - pixels[2] += CONVOLVE1x3(s, w[1]); - - // fifth line - s = VLOAD2_UNPACK8_HALF(src_ptr, IMAGE_OFFSET(src_iter, 0, 4)); - pixels[2] += CONVOLVE1x3(s, w[2]); - - 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)); - - if(z_index % uint(2) == uint(0)) - { - b = vec2_b.x; - } - else - { - b = vec2_b.y; - } - - for(i = 0; i < 3; i++) - { - pixels[i] += vec4(b); - } -#endif /* BIAS */ - -#ifdef FUSED_ACTIVATION - pixels[0] = ACT_OP(pixels[0]); - pixels[1] = ACT_OP(pixels[1]); - pixels[2] = ACT_OP(pixels[2]); - pixels[3] = ACT_OP(pixels[3]); -#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]); - - TENSOR_ITERATOR_ADVANCE_IN_BYTES(dst_iter, dst_stride_z); - } -} - -#endif /* PROCESS_nX_nY_nZ */ - -#else /* DATA_TYPE_FP32 */ -#error Data type not supported -#endif /* DATA_TYPE_FP32 */ |