| /* |
| * Copyright (c) 2017 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" |
| |
| #if defined(DATA_TYPE_FP16) |
| precision mediump float; |
| #endif // DATA_TYPE_FP16 |
| |
| /** This kernel performs a depthwise convolution. |
| * |
| * @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 depthwise convolution options for FP16. |
| * The depthwise 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 |
| * @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 |
| */ |
| SHADER_PARAMS_DECLARATION |
| { |
| Tensor3DAttributes src_attrs; |
| Tensor3DAttributes dst_attrs; |
| Tensor3DAttributes weights_attrs; |
| #ifdef BIAS |
| VectorAttributes biases_attrs; |
| #endif /* BIAS */ |
| }; |
| |
| #if defined(DATA_TYPE_FP16) |
| #if 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, uvec2, weights_ptr, weights_shift, 3, readonly); |
| #ifdef BIAS |
| TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly); |
| #endif /* BIAS */ |
| |
| #define LOAD_UNPACK_SWIZZLE(offset) load_unpack_swizzle_stride1(offset) |
| |
| vec4 convolve1x3(vec4 s[3], vec4 w) |
| { |
| vec4 r; |
| |
| r = s[0] * w[0] + s[1] * w[1] + s[2] * w[2]; |
| |
| return r; |
| } |
| |
| vec4[3] load_unpack_swizzle_stride1(uint offset) |
| { |
| vec4 s[2]; |
| s = VLOAD2_UNPACK8_HALF(src_ptr, offset); |
| |
| vec4 r[3]; |
| r[0] = s[0]; |
| r[1] = vec4(s[0].yzw, s[1].x); |
| r[2] = vec4(s[0].zw, s[1].xy); |
| |
| return r; |
| } |
| |
| void main() |
| { |
| Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_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]; |
| for(int 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_attrs.stride_z); |
| |
| vec4 w[3]; |
| w[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(weights_ptr, weights_iter); |
| w[1] = LOAD_UNPACK4_HALF(weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); |
| w[2] = LOAD_UNPACK4_HALF(weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); |
| |
| vec4 s[3]; |
| vec4 r; |
| // first line |
| s = LOAD_UNPACK_SWIZZLE(CURRENT_ITEM_OFFSET(src_iter)); |
| |
| r = convolve1x3(s, w[0]); |
| pixels[0] += r; |
| |
| // second line |
| s = LOAD_UNPACK_SWIZZLE(TENSOR3D_OFFSET(src_iter, 0, 1, 0)); |
| |
| r = convolve1x3(s, w[1]); |
| pixels[0] += r; |
| r = convolve1x3(s, w[0]); |
| pixels[1] += r; |
| |
| // third line |
| s = LOAD_UNPACK_SWIZZLE(TENSOR3D_OFFSET(src_iter, 0, 2, 0)); |
| |
| r = convolve1x3(s, w[2]); |
| pixels[0] += r; |
| r = convolve1x3(s, w[1]); |
| pixels[1] += r; |
| r = convolve1x3(s, w[0]); |
| pixels[2] += r; |
| |
| // forth line |
| s = LOAD_UNPACK_SWIZZLE(TENSOR3D_OFFSET(src_iter, 0, 3, 0)); |
| |
| r = convolve1x3(s, w[2]); |
| pixels[1] += r; |
| r = convolve1x3(s, w[1]); |
| pixels[2] += r; |
| |
| // fifth line |
| s = LOAD_UNPACK_SWIZZLE(TENSOR3D_OFFSET(src_iter, 0, 4, 0)); |
| |
| r = convolve1x3(s, w[2]); |
| pixels[2] += r; |
| |
| #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(int i = 0; i < 3; i++) |
| { |
| pixels[i] += vec4(b); |
| } |
| #endif /* BIAS */ |
| |
| 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_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, uvec2, weights_ptr, weights_shift, 3, readonly); |
| #ifdef BIAS |
| TENSOR_DECLARATION(4, biasesBuffer, uint, biases_ptr, biases_shift, 2, readonly); |
| #endif /* BIAS */ |
| |
| #if STRIDE_X == 3 |
| #define LOAD_UNPACK_SWIZZLE(offset) load_unpack_swizzle_stride3(offset) |
| #elif STRIDE_X == 2 |
| #define LOAD_UNPACK_SWIZZLE(offset) load_unpack_swizzle_stride2(offset) |
| #elif STRIDE_X == 1 /* STRIDE_X == 1 */ |
| #define LOAD_UNPACK_SWIZZLE(offset) load_unpack_swizzle_stride1(offset) |
| #else /* STRIDE_X not equals 1 or 2 */ |
| #error STRIDE_X larger than 2 is not supported |
| #endif /* STRIDE_X == 2 */ |
| |
| vec4 convolve1x3(vec4 s[3], vec4 w) |
| { |
| vec4 r; |
| |
| r = s[0] * w[0] + s[1] * w[1] + s[2] * w[2]; |
| |
| return r; |
| } |
| |
| vec4[3] load_unpack_swizzle_stride1(uint offset) |
| { |
| vec4 s[2]; |
| s = VLOAD2_UNPACK8_HALF(src_ptr, offset); |
| |
| vec4 r[3]; |
| r[0] = s[0]; |
| r[1] = vec4(s[0].yzw, s[1].x); |
| r[2] = vec4(s[0].zw, s[1].xy); |
| |
| return r; |
| } |
| |
| vec4[3] load_unpack_swizzle_stride2(uint offset) |
| { |
| vec4 s[3]; |
| s[0] = LOAD_UNPACK4_HALF(src_ptr, offset); |
| s[1] = LOAD_UNPACK4_HALF(src_ptr, offset + uint(1)); |
| s[2] = LOAD_UNPACK4_HALF(src_ptr, offset + uint(2)); |
| |
| vec4 r[3]; |
| r[0] = vec4(s[0].xz, s[1].xz); |
| r[1] = vec4(s[0].yw, s[1].yw); |
| r[2] = vec4(s[0].z, s[1].xz, s[2].x); |
| |
| return r; |
| } |
| |
| vec4[3] load_unpack_swizzle_stride3(uint offset) |
| { |
| vec4 s[3]; |
| s[0] = LOAD_UNPACK4_HALF(src_ptr, offset); |
| s[1] = LOAD_UNPACK4_HALF(src_ptr, offset + uint(1)); |
| s[2] = LOAD_UNPACK4_HALF(src_ptr, offset + uint(2)); |
| |
| vec4 r[3]; |
| r[0] = vec4(s[0].xw, s[1].z, s[2].y); |
| r[1] = vec4(s[0].y, s[1].xw, s[2].z); |
| r[2] = vec4(s[0].z, s[1].y, s[2].xw); |
| |
| return r; |
| } |
| |
| void main() |
| { |
| Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_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_attrs.stride_z); |
| |
| vec4 w[3]; |
| w[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(weights_ptr, weights_iter); |
| w[1] = LOAD_UNPACK4_HALF(weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 1, 0)); |
| w[2] = LOAD_UNPACK4_HALF(weights_ptr, TENSOR3D_OFFSET(weights_iter, 0, 2, 0)); |
| |
| vec4 s[3]; |
| vec4 r; |
| // first line |
| s = LOAD_UNPACK_SWIZZLE(CURRENT_ITEM_OFFSET(src_iter)); |
| |
| r = convolve1x3(s, w[0]); |
| pixels += r; |
| |
| // second line |
| s = LOAD_UNPACK_SWIZZLE(TENSOR3D_OFFSET(src_iter, 0, 1, 0)); |
| |
| r = convolve1x3(s, w[1]); |
| pixels += r; |
| |
| // third line |
| s = LOAD_UNPACK_SWIZZLE(TENSOR3D_OFFSET(src_iter, 0, 2, 0)); |
| |
| r = convolve1x3(s, w[2]); |
| pixels += r; |
| |
| #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 */ |
| |
| STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, pixels); |
| } |
| #endif /* PROCESS_4X_3Y_1Z */ |
| #endif /* DATA_TYPE_FP16 */ |