| /* |
| * 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 */ |