| /* |
| * 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.h" |
| |
| #ifdef DATA_TYPE_FP32 |
| |
| precision highp float; |
| |
| /** This kernel performs a direct convolution to convolve the low three dimensions |
| * |
| * @note This OpenGL ES shader works with stride_x = 1 and 2 |
| * @note The data type must be passed at compile time using "#define DATA_TYPE_FP32" |
| * @note If biases are used then "define HAS_BIAS" has to be passed at compile time |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[out] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases 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 |
| */ |
| |
| layout(std140) uniform shader_params |
| { |
| TENSOR3D_PARAM_DECLARATION(src); |
| TENSOR3D_PARAM_DECLARATION(dst); |
| TENSOR3D_PARAM_DECLARATION(weights); |
| #ifdef BIAS |
| VECTOR_PARAM_DECLARATION(biases); |
| #endif /* BIAS */ |
| uint weights_stride_w; |
| uint weights_depth; |
| }; |
| |
| BUFFER_DECLARATION(src, 1, float, readonly); |
| BUFFER_DECLARATION(dst, 2, float, writeonly); |
| BUFFER_DECLARATION(weights, 3, float, readonly); |
| #ifdef BIAS |
| BUFFER_DECLARATION(biases, 4, float, readonly); |
| #endif /* BIAS */ |
| |
| #define LOAD20(r, name, offset) \ |
| r[0] = LOAD4(name, offset); \ |
| r[1] = LOAD4(name, offset + uint(1)); \ |
| r[2] = LOAD4(name, offset + uint(2)); \ |
| r[3] = LOAD4(name, offset + uint(3)); \ |
| r[4] = LOAD4(name, offset + uint(4)) |
| |
| /** 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_FP32" |
| * @note If biases are used then "define HAS_BIAS" has to be passed at compile time |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases 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 |
| */ |
| void main() |
| { |
| Image src = CONVERT_TO_IMAGE_STRUCT(src); |
| Tensor3D weights = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| #ifdef BIAS |
| Vector biases = CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| #endif /* BIAS */ |
| |
| float pixels = CONVERT(0, float); |
| uint z_index = gl_GlobalInvocationID.z; |
| weights.current_offset += z_index * weights_stride_w >> 2; |
| float temp[5]; |
| float temp_weight[5]; |
| |
| for(int d = 0; d < int(weights_depth); ++d) |
| { |
| LOAD20(temp, src, offset(src, 0, 0)); |
| LOAD20(temp_weight, weights, tensor3D_offset(weights, 0, 0, 0)); |
| pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; |
| |
| LOAD20(temp, src, offset(src, 0, 1)); |
| LOAD20(temp_weight, weights, tensor3D_offset(weights, 0, 1, 0)); |
| pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; |
| |
| LOAD20(temp, src, offset(src, 0, 2)); |
| LOAD20(temp_weight, weights, tensor3D_offset(weights, 0, 2, 0)); |
| pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; |
| |
| LOAD20(temp, src, offset(src, 0, 3)); |
| LOAD20(temp_weight, weights, tensor3D_offset(weights, 0, 3, 0)); |
| pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; |
| |
| LOAD20(temp, src, offset(src, 0, 4)); |
| LOAD20(temp_weight, weights, tensor3D_offset(weights, 0, 4, 0)); |
| pixels += temp[0] * temp_weight[0] + temp[1] * temp_weight[1] + temp[2] * temp_weight[2] + temp[3] * temp_weight[3] + temp[4] * temp_weight[4]; |
| |
| src.current_offset += (src_stride_z >> 2); |
| weights.current_offset += (weights_stride_z >> 2); |
| } |
| |
| #ifdef BIAS |
| pixels += LOAD4(biases, vector_offset(biases, int(z_index))); |
| #endif /* BIAS */ |
| |
| STORE4(dst, CURRENT_OFFSET(dst), pixels); |
| } |
| |
| #elif defined(DATA_TYPE_FP16) |
| |
| precision mediump float; |
| |
| #if defined(PROCESS_4X_1Y_1Z) |
| |
| /** This kernel performs a direct convolution to convolve the low three dimensions |
| * |
| * @note This OpenGL ES shader works with stride_x = 1 and 2 |
| * @note The data type must be passed at compile time using "#define DATA_TYPE_FP16" |
| * @note If biases are used then "define HAS_BIAS" has to be passed at compile time |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[out] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases 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 |
| */ |
| |
| layout(std140) uniform shader_params |
| { |
| TENSOR3D_PARAM_DECLARATION(src); |
| TENSOR3D_PARAM_DECLARATION(dst); |
| TENSOR3D_PARAM_DECLARATION(weights); |
| #ifdef BIAS |
| VECTOR_PARAM_DECLARATION(biases); |
| #endif /* BIAS */ |
| uint weights_stride_w; |
| uint weights_depth; |
| }; |
| |
| BUFFER_DECLARATION(src, 1, uvec2, readonly); |
| BUFFER_DECLARATION(dst, 2, uvec2, writeonly); |
| BUFFER_DECLARATION(weights, 3, uint, readonly); |
| #ifdef BIAS |
| BUFFER_DECLARATION(biases, 4, uint, readonly); |
| #endif /* BIAS */ |
| |
| #if STRIDE_X == 1 |
| #define LOAD_SRC(src, row) load_src_stride1(src, row) |
| #define CONVOLVE1x5(src, weight) convolve1x5_stride1(src, weight) |
| #elif STRIDE_X == 2 /* STRIDE_X == 1 */ |
| #define LOAD_SRC(src, row) load_src_stride2(src, row) |
| #define CONVOLVE1x5(src, weight) convolve1x5_stride2(src, weight) |
| #else /* STRDIDE_X == 1 */ |
| #error STRIDE_X larger than 2 is not supported |
| #endif /* STRIDE_X == 1 */ |
| |
| vec4[2] load_src_stride1(Image src, int row) |
| { |
| uvec2 packed[2]; |
| vec4 ret[2]; |
| |
| GC_LOAD2_2D_OFFSET(packed, src, 0, row); |
| |
| ret[0] = vec4(unpackHalf2x16(packed[0].x), unpackHalf2x16(packed[0].y)); |
| ret[1] = vec4(unpackHalf2x16(packed[1].x), unpackHalf2x16(packed[1].y)); |
| |
| return ret; |
| } |
| |
| vec4[3] load_src_stride2(Image src, int row) |
| { |
| uvec2 packed[3]; |
| vec4 ret[3]; |
| |
| GC_LOAD3_2D_OFFSET(packed, src, 0, row); |
| |
| ret[0] = vec4(unpackHalf2x16(packed[0].x), unpackHalf2x16(packed[0].y)); |
| ret[1] = vec4(unpackHalf2x16(packed[1].x), unpackHalf2x16(packed[1].y)); |
| ret[2] = vec4(unpackHalf2x16(packed[2].x), unpackHalf2x16(packed[2].y)); |
| |
| return ret; |
| } |
| |
| vec2[3] load_weight(Tensor3D weights, int row) |
| { |
| uvec3 packed_w; |
| vec2 ret[3]; |
| |
| GC_LOAD3_3D_OFFSET(packed_w, weights, 0, row, 0); |
| |
| ret[0] = vec2(unpackHalf2x16(packed_w[0])); |
| ret[1] = vec2(unpackHalf2x16(packed_w[1])); |
| ret[2] = vec2(unpackHalf2x16(packed_w[2])); |
| |
| return ret; |
| } |
| |
| vec4 convolve1x5_stride1(vec4 tmp[2], vec2 w[3]) |
| { |
| vec4 src0 = tmp[0]; |
| vec4 src1 = vec4(tmp[0].yzw, tmp[1].x); |
| vec4 src2 = vec4(tmp[0].zw, tmp[1].xy); |
| vec4 src3 = vec4(tmp[0].w, tmp[1].xyz); |
| vec4 src4 = tmp[1]; |
| vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; |
| |
| return ret; |
| } |
| |
| vec4 convolve1x5_stride2(vec4 tmp[3], vec2 w[3]) |
| { |
| vec4 src0 = vec4(tmp[0].xz, tmp[1].xz); |
| vec4 src1 = vec4(tmp[0].yw, tmp[1].yw); |
| vec4 src2 = vec4(tmp[0].z, tmp[1].xz, tmp[2].x); |
| vec4 src3 = vec4(tmp[0].w, tmp[1].yw, tmp[2].y); |
| vec4 src4 = vec4(tmp[1].x, tmp[1].z, tmp[2].xz); |
| vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; |
| |
| return ret; |
| } |
| |
| /** 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_FP16" |
| * @note If biases are used then "define HAS_BIAS" has to be passed at compile time |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases 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 |
| */ |
| void main() |
| { |
| Image src = GC_CONVERT_TO_IMAGE_STRUCT(src); |
| Tensor3D weights = GC_CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| Tensor3D dst = GC_CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| #ifdef BIAS |
| Vector biases = GC_CONVERT_TO_VECTOR_STRUCT_NO_STEP(biases); |
| #endif /* BIAS */ |
| |
| vec4 res = vec4(0); |
| vec2 w[3]; |
| vec4 s[STRIDE_X + 1]; |
| uvec2 packed_d; |
| uint z_index = gl_GlobalInvocationID.z; |
| |
| weights.current_offset += z_index * weights_stride_w; |
| |
| for(int d = 0; d < int(weights_depth); ++d) |
| { |
| for(int row = 0; row < 5; row++) |
| { |
| w = load_weight(weights, row); |
| s = LOAD_SRC(src, row); |
| res += CONVOLVE1x5(s, w); |
| } |
| |
| src.current_offset += src_stride_z; |
| weights.current_offset += weights_stride_z; |
| } |
| |
| #ifdef BIAS |
| uint packed_b; |
| float b; |
| |
| GC_LOAD1_1D_OFFSET(packed_b, biases, z_index); |
| b = (z_index % uint(2) == uint(0)) ? unpackHalf2x16(packed_b).x : unpackHalf2x16(packed_b).y; |
| res += vec4(b); |
| #endif /* BIAS */ |
| |
| packed_d = uvec2(packHalf2x16(res.xy), packHalf2x16(res.zw)); |
| GC_STORE1_3D_OFFSET(packed_d, dst, 0, 0, 0); |
| } |
| |
| #elif defined(PROCESS_4X_3Y_1Z) |
| |
| /** An optimized direct convolution 3x3 OpenGL ES compute shader for process 3 elements @ Y at once |
| * |
| * @note This OpenGL ES shader works with stride_x = 1 and 2 |
| * @note The data type must be passed at compile time using "#define DATA_TYPE_FP16" |
| * @note If biases are used then "define HAS_BIAS" has to be passed at compile time |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[out] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases 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 |
| */ |
| |
| layout(std140) uniform shader_params |
| { |
| TENSOR3D_PARAM_DECLARATION(src); |
| TENSOR3D_PARAM_DECLARATION(dst); |
| TENSOR3D_PARAM_DECLARATION(weights); |
| #ifdef BIAS |
| VECTOR_PARAM_DECLARATION(biases); |
| #endif /* BIAS */ |
| uint weights_stride_w; |
| uint weights_depth; |
| }; |
| |
| BUFFER_DECLARATION(src, 1, uvec2, readonly); |
| BUFFER_DECLARATION(dst, 2, uvec2, writeonly); |
| BUFFER_DECLARATION(weights, 3, uint, readonly); |
| #ifdef BIAS |
| BUFFER_DECLARATION(bias, 4, uint, readonly); |
| #endif /* BIAS */ |
| |
| #if STRIDE_X == 1 |
| #define LOAD_SRC(src, row) load_src_stride1(src, row) |
| #define CONVOLVE1x5(src, weight) convolve1x5_stride1(src, weight) |
| #elif STRIDE_X == 2 /* STRIDE_X == 1 */ |
| #define LOAD_SRC(src, row) load_src_stride2(src, row) |
| #define CONVOLVE1x5(src, weight) convolve1x5_stride2(src, weight) |
| #else /* STRDIDE_X == 1 */ |
| #error STRIDE_X larger than 2 is not supported |
| #endif /* STRIDE_X == 1 */ |
| |
| vec4[2] load_src_stride1(Image src, int row) |
| { |
| uvec2 packed[2]; |
| vec4 ret[2]; |
| |
| GC_LOAD2_2D_OFFSET(packed, src, 0, row); |
| |
| ret[0] = vec4(unpackHalf2x16(packed[0].x), unpackHalf2x16(packed[0].y)); |
| ret[1] = vec4(unpackHalf2x16(packed[1].x), unpackHalf2x16(packed[1].y)); |
| |
| return ret; |
| } |
| |
| vec4[3] load_src_stride2(Image src, int row) |
| { |
| uvec2 packed[3]; |
| vec4 ret[3]; |
| |
| GC_LOAD3_2D_OFFSET(packed, src, 0, row); |
| |
| ret[0] = vec4(unpackHalf2x16(packed[0].x), unpackHalf2x16(packed[0].y)); |
| ret[1] = vec4(unpackHalf2x16(packed[1].x), unpackHalf2x16(packed[1].y)); |
| ret[2] = vec4(unpackHalf2x16(packed[2].x), unpackHalf2x16(packed[2].y)); |
| |
| return ret; |
| } |
| |
| vec2[3] load_weight(Tensor3D weights, int row) |
| { |
| uvec3 packed_w; |
| vec2 ret[3]; |
| |
| GC_LOAD3_3D_OFFSET(packed_w, weights, 0, row, 0); |
| |
| ret[0] = vec2(unpackHalf2x16(packed_w[0])); |
| ret[1] = vec2(unpackHalf2x16(packed_w[1])); |
| ret[2] = vec2(unpackHalf2x16(packed_w[2])); |
| |
| return ret; |
| } |
| |
| vec4 convolve1x5_stride1(vec4 tmp[2], vec2 w[3]) |
| { |
| vec4 src0 = tmp[0]; |
| vec4 src1 = vec4(tmp[0].yzw, tmp[1].x); |
| vec4 src2 = vec4(tmp[0].zw, tmp[1].xy); |
| vec4 src3 = vec4(tmp[0].w, tmp[1].xyz); |
| vec4 src4 = tmp[1]; |
| vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; |
| |
| return ret; |
| } |
| |
| vec4 convolve1x5_stride2(vec4 tmp[3], vec2 w[3]) |
| { |
| vec4 src0 = vec4(tmp[0].xz, tmp[1].xz); |
| vec4 src1 = vec4(tmp[0].yw, tmp[1].yw); |
| vec4 src2 = vec4(tmp[0].z, tmp[1].xz, tmp[2].x); |
| vec4 src3 = vec4(tmp[0].w, tmp[1].yw, tmp[2].y); |
| vec4 src4 = vec4(tmp[1].x, tmp[1].z, tmp[2].xz); |
| vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; |
| |
| return ret; |
| } |
| |
| void main() |
| { |
| Image src = GC_CONVERT_TO_IMAGE_STRUCT(src); |
| Tensor3D weights = GC_CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| Tensor3D dst = GC_CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| #ifdef BIAS |
| Vector bias = GC_CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); |
| #endif /* BIAS */ |
| |
| vec4 res[3]; |
| vec2 w[5][3]; |
| vec4 s[STRIDE_X + 1]; |
| uvec2 packed_d; |
| uint z_index = gl_GlobalInvocationID.z; |
| int i; |
| |
| for(i = 0; i < 3; i++) |
| { |
| res[i] = vec4(0); |
| } |
| |
| weights.current_offset += z_index * weights_stride_w; |
| |
| for(int d = 0; d < int(weights_depth); ++d) |
| { |
| // load weights once |
| for(int row = 0; row < 5; row++) |
| { |
| w[row] = load_weight(weights, row); |
| } |
| |
| // 1st line |
| s = LOAD_SRC(src, 0); |
| res[0] += CONVOLVE1x5(s, w[0]); |
| |
| // 2nd line |
| s = LOAD_SRC(src, 1); |
| res[0] += CONVOLVE1x5(s, w[1]); |
| res[1] += CONVOLVE1x5(s, w[0]); |
| |
| // 3rd line |
| s = LOAD_SRC(src, 2); |
| res[0] += CONVOLVE1x5(s, w[2]); |
| res[1] += CONVOLVE1x5(s, w[1]); |
| res[2] += CONVOLVE1x5(s, w[0]); |
| |
| // 4th line |
| s = LOAD_SRC(src, 3); |
| res[0] += CONVOLVE1x5(s, w[3]); |
| res[1] += CONVOLVE1x5(s, w[2]); |
| res[2] += CONVOLVE1x5(s, w[1]); |
| |
| // 5th line |
| s = LOAD_SRC(src, 4); |
| res[0] += CONVOLVE1x5(s, w[4]); |
| res[1] += CONVOLVE1x5(s, w[3]); |
| res[2] += CONVOLVE1x5(s, w[2]); |
| |
| // 6th line |
| s = LOAD_SRC(src, 5); |
| res[1] += CONVOLVE1x5(s, w[4]); |
| res[2] += CONVOLVE1x5(s, w[3]); |
| |
| // 7th line |
| s = LOAD_SRC(src, 6); |
| res[2] += CONVOLVE1x5(s, w[4]); |
| |
| src.current_offset += src_stride_z; |
| weights.current_offset += weights_stride_z; |
| } |
| |
| #ifdef BIAS |
| uint packed_b; |
| float b; |
| |
| GC_LOAD1_1D_OFFSET(packed_b, bias, z_index); |
| b = (z_index % uint(2) == uint(0)) ? unpackHalf2x16(packed_b).x : unpackHalf2x16(packed_b).y; |
| for(i = 0; i < 3; i++) |
| { |
| res[i] += vec4(b); |
| } |
| #endif /* BIAS */ |
| |
| for(i = 0; i < 3; i++) |
| { |
| packed_d = uvec2(packHalf2x16(res[i].xy), packHalf2x16(res[i].zw)); |
| GC_STORE1_3D_OFFSET(packed_d, dst, 0, i, 0); |
| } |
| } |
| |
| #elif defined(PROCESS_4X_3Y_2Z) |
| |
| /** An optimized direct convolution 3x3 OpenGL ES compute shader for process 3 elements @ Y and 2 elements @ Z at once |
| * |
| * @note This OpenGL ES shader works with stride_x = 1 and 2 |
| * @note The data type must be passed at compile time using "#define DATA_TYPE_FP16" |
| * @note If biases are used then "define HAS_BIAS" has to be passed at compile time |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[out] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases 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 |
| */ |
| |
| layout(std140) uniform shader_params |
| { |
| TENSOR3D_PARAM_DECLARATION(src); |
| TENSOR3D_PARAM_DECLARATION(dst); |
| TENSOR3D_PARAM_DECLARATION(weights); |
| #ifdef BIAS |
| VECTOR_PARAM_DECLARATION(biases); |
| #endif /* BIAS */ |
| uint weights_stride_w; |
| uint weights_depth; |
| }; |
| |
| BUFFER_DECLARATION(src, 1, uvec2, readonly); |
| BUFFER_DECLARATION(dst, 2, uvec2, writeonly); |
| BUFFER_DECLARATION(weights, 3, uint, readonly); |
| #ifdef BIAS |
| BUFFER_DECLARATION(bias, 4, uint, readonly); |
| #endif /* BIAS */ |
| |
| #if STRIDE_X == 1 |
| #define LOAD_SRC(src, row) load_src_stride1(src, row) |
| #define CONVOLVE1x5(src, weight) convolve1x5_stride1(src, weight) |
| #elif STRIDE_X == 2 /* STRIDE_X == 1 */ |
| #define LOAD_SRC(src, row) load_src_stride2(src, row) |
| #define CONVOLVE1x5(src, weight) convolve1x5_stride2(src, weight) |
| #else /* STRDIDE_X == 1 */ |
| #error STRIDE_X larger than 2 is not supported |
| #endif /* STRIDE_X == 1 */ |
| |
| vec4[2] load_src_stride1(Image src, int row) |
| { |
| uvec2 packed[2]; |
| vec4 ret[2]; |
| |
| GC_LOAD2_2D_OFFSET(packed, src, 0, row); |
| |
| ret[0] = vec4(unpackHalf2x16(packed[0].x), unpackHalf2x16(packed[0].y)); |
| ret[1] = vec4(unpackHalf2x16(packed[1].x), unpackHalf2x16(packed[1].y)); |
| |
| return ret; |
| } |
| |
| vec4[3] load_src_stride2(Image src, int row) |
| { |
| uvec2 packed[3]; |
| vec4 ret[3]; |
| |
| GC_LOAD3_2D_OFFSET(packed, src, 0, row); |
| |
| ret[0] = vec4(unpackHalf2x16(packed[0].x), unpackHalf2x16(packed[0].y)); |
| ret[1] = vec4(unpackHalf2x16(packed[1].x), unpackHalf2x16(packed[1].y)); |
| ret[2] = vec4(unpackHalf2x16(packed[2].x), unpackHalf2x16(packed[2].y)); |
| |
| return ret; |
| } |
| |
| vec2[3] load_weight(Tensor3D weights, int row) |
| { |
| uvec3 packed_w; |
| vec2 ret[3]; |
| |
| GC_LOAD3_3D_OFFSET(packed_w, weights, 0, row, 0); |
| |
| ret[0] = vec2(unpackHalf2x16(packed_w[0])); |
| ret[1] = vec2(unpackHalf2x16(packed_w[1])); |
| ret[2] = vec2(unpackHalf2x16(packed_w[2])); |
| |
| return ret; |
| } |
| |
| vec4 convolve1x5_stride1(vec4 tmp[2], vec2 w[3]) |
| { |
| vec4 src0 = tmp[0]; |
| vec4 src1 = vec4(tmp[0].yzw, tmp[1].x); |
| vec4 src2 = vec4(tmp[0].zw, tmp[1].xy); |
| vec4 src3 = vec4(tmp[0].w, tmp[1].xyz); |
| vec4 src4 = tmp[1]; |
| vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; |
| |
| return ret; |
| } |
| |
| vec4 convolve1x5_stride2(vec4 tmp[3], vec2 w[3]) |
| { |
| vec4 src0 = vec4(tmp[0].xz, tmp[1].xz); |
| vec4 src1 = vec4(tmp[0].yw, tmp[1].yw); |
| vec4 src2 = vec4(tmp[0].z, tmp[1].xz, tmp[2].x); |
| vec4 src3 = vec4(tmp[0].w, tmp[1].yw, tmp[2].y); |
| vec4 src4 = vec4(tmp[1].x, tmp[1].z, tmp[2].xz); |
| vec4 ret = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; |
| |
| return ret; |
| } |
| |
| void main() |
| { |
| Image src = GC_CONVERT_TO_IMAGE_STRUCT(src); |
| Tensor3D weights = GC_CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| Tensor3D dst = GC_CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| #ifdef BIAS |
| Vector bias = GC_CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); |
| #endif /* BIAS */ |
| |
| vec4 res[3]; |
| vec2 w[5][3]; |
| vec4 s[STRIDE_X + 1]; |
| uvec2 packed_d; |
| uint z_index = (gl_GlobalInvocationID.z); |
| uint s_offset = src.current_offset; |
| int i, z; |
| |
| weights.current_offset += z_index * weights_stride_w; |
| |
| for(z = 0; z < 2; z++) |
| { |
| z_index += uint(z); |
| src.current_offset = s_offset; |
| |
| for(i = 0; i < 3; i++) |
| { |
| res[i] = vec4(0); |
| } |
| |
| for(int d = 0; d < int(weights_depth); ++d) |
| { |
| // load weights once |
| for(int row = 0; row < 5; row++) |
| { |
| w[row] = load_weight(weights, row); |
| } |
| |
| // 1st line |
| s = LOAD_SRC(src, 0); |
| res[0] += CONVOLVE1x5(s, w[0]); |
| |
| // 2nd line |
| s = LOAD_SRC(src, 1); |
| res[0] += CONVOLVE1x5(s, w[1]); |
| res[1] += CONVOLVE1x5(s, w[0]); |
| |
| // 3rd line |
| s = LOAD_SRC(src, 2); |
| res[0] += CONVOLVE1x5(s, w[2]); |
| res[1] += CONVOLVE1x5(s, w[1]); |
| res[2] += CONVOLVE1x5(s, w[0]); |
| |
| // 4th line |
| s = LOAD_SRC(src, 3); |
| res[0] += CONVOLVE1x5(s, w[3]); |
| res[1] += CONVOLVE1x5(s, w[2]); |
| res[2] += CONVOLVE1x5(s, w[1]); |
| |
| // 5th line |
| s = LOAD_SRC(src, 4); |
| res[0] += CONVOLVE1x5(s, w[4]); |
| res[1] += CONVOLVE1x5(s, w[3]); |
| res[2] += CONVOLVE1x5(s, w[2]); |
| |
| // 6th line |
| s = LOAD_SRC(src, 5); |
| res[1] += CONVOLVE1x5(s, w[4]); |
| res[2] += CONVOLVE1x5(s, w[3]); |
| |
| // 7th line |
| s = LOAD_SRC(src, 6); |
| res[2] += CONVOLVE1x5(s, w[4]); |
| |
| src.current_offset += src_stride_z; |
| weights.current_offset += weights_stride_z; |
| } |
| |
| #ifdef BIAS |
| uint packed_b; |
| float b; |
| |
| GC_LOAD1_1D_OFFSET(packed_b, bias, z_index); |
| b = (z_index % uint(2) == uint(0)) ? unpackHalf2x16(packed_b).x : unpackHalf2x16(packed_b).y; |
| for(i = 0; i < 3; i++) |
| { |
| res[i] += vec4(b); |
| } |
| #endif /* BIAS */ |
| |
| for(i = 0; i < 3; i++) |
| { |
| packed_d = uvec2(packHalf2x16(res[i].xy), packHalf2x16(res[i].zw)); |
| GC_STORE1_3D_OFFSET(packed_d, dst, 0, i, 0); |
| } |
| |
| dst.current_offset += dst_stride_z; |
| } |
| } |
| |
| #elif defined(PROCESS_8X_1Y_1Z) |
| |
| /** An optimized direct convolution 3x3 OpenGL ES compute shader for process 8 elements @ X at once |
| * |
| * @note This OpenGL ES shader works with stride_x = 1 |
| * @note The data type must be passed at compile time using "#define DATA_TYPE_FP16" |
| * @note If biases are used then "define HAS_BIAS" has to be passed at compile time |
| * |
| * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16 |
| * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) |
| * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) |
| * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) |
| * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes) |
| * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor |
| * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr |
| * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes) |
| * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes) |
| * @param[in] dst_step_y dst_stride_y * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_stride_z Stride of the destination tensor in Z dimension (in bytes) |
| * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[out] weights_ptr Pointer to the weights tensor. Supported data types: same as @p src_ptr |
| * @param[in] weights_stride_x Stride of the weights tensor in X dimension (in bytes) |
| * @param[in] weights_step_x weights_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] weights_stride_y Stride of the weights tensor in Y dimension (in bytes) |
| * @param[in] weights_step_y weights_stride_y * number of elements along y processed per workitem(in bytes) |
| * @param[in] weights_stride_z Stride of the weights tensor in Z dimension (in bytes) |
| * @param[in] weights_step_z weights_stride_z * number of elements along Z processed per workitem(in bytes) |
| * @param[in] weights_offset_first_element_in_bytes The offset of the first element in the weights tensor |
| * @param[in] biases_ptr Pointer to the biases tensor. Same as @p src_ptr |
| * @param[in] biases_stride_x Stride of the biases tensor in X dimension (in bytes) |
| * @param[in] biases_step_x biases_stride_x * number of elements along X processed per workitem(in bytes) |
| * @param[in] biases_offset_first_element_in_bytes The offset of the first element in the biases 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 |
| */ |
| |
| layout(std140) uniform shader_params |
| { |
| TENSOR3D_PARAM_DECLARATION(src); |
| TENSOR3D_PARAM_DECLARATION(dst); |
| TENSOR3D_PARAM_DECLARATION(weights); |
| #ifdef BIAS |
| VECTOR_PARAM_DECLARATION(biases); |
| #endif /* BIAS */ |
| uint weights_stride_w; |
| uint weights_depth; |
| }; |
| |
| BUFFER_DECLARATION(src, 1, uvec4, readonly); |
| BUFFER_DECLARATION(dst, 2, uvec4, writeonly); |
| BUFFER_DECLARATION(weights, 3, uint, readonly); |
| #ifdef BIAS |
| BUFFER_DECLARATION(bias, 4, uint, readonly); |
| #endif /* BIAS */ |
| |
| #if STRIDE_X == 1 |
| #define LOAD_SRC(src, row) load_src_stride1(src, row) |
| #define CONVOLVE1x5(src, weight) convolve1x5_stride1(src, weight) |
| #elif STRIDE_X == 2 /* STRIDE_X == 1 */ |
| #error stride == 2 for PROCESS_8X_1Y not implemented |
| #else /* STRDIDE_X == 1 */ |
| #error STRIDE_X larger than 2 is not supported |
| #endif /* STRIDE_X == 1 */ |
| |
| vec4[3] load_src_stride1(Image src, int row) |
| { |
| uvec4 packed[2]; |
| vec4 ret[3]; |
| |
| GC_LOAD2_2D_OFFSET(packed, src, 0, row); |
| |
| ret[0] = vec4(unpackHalf2x16(packed[0].x), unpackHalf2x16(packed[0].y)); |
| ret[1] = vec4(unpackHalf2x16(packed[0].z), unpackHalf2x16(packed[0].w)); |
| ret[2] = vec4(unpackHalf2x16(packed[1].x), unpackHalf2x16(packed[1].y)); |
| |
| return ret; |
| } |
| |
| vec2[3] load_weight(Tensor3D weights, int row) |
| { |
| uvec3 packed_w; |
| vec2 ret[3]; |
| |
| GC_LOAD3_3D_OFFSET(packed_w, weights, 0, row, 0); |
| |
| ret[0] = vec2(unpackHalf2x16(packed_w[0])); |
| ret[1] = vec2(unpackHalf2x16(packed_w[1])); |
| ret[2] = vec2(unpackHalf2x16(packed_w[2])); |
| |
| return ret; |
| } |
| |
| vec4[2] convolve1x5_stride1(vec4 tmp[3], vec2 w[3]) |
| { |
| vec4 src0 = tmp[0]; |
| vec4 src1 = vec4(tmp[0].yzw, tmp[1].x); |
| vec4 src2 = vec4(tmp[0].zw, tmp[1].xy); |
| vec4 src3 = vec4(tmp[0].w, tmp[1].xyz); |
| vec4 src4 = tmp[1]; |
| vec4 ret[2]; |
| |
| ret[0] = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; |
| |
| src0 = tmp[1]; |
| src1 = vec4(tmp[1].yzw, tmp[2].x); |
| src2 = vec4(tmp[1].zw, tmp[2].xy); |
| src3 = vec4(tmp[1].w, tmp[2].xyz); |
| src4 = tmp[2]; |
| ret[1] = src0 * w[0].x + src1 * w[0].y + src2 * w[1].x + src3 * w[1].y + src4 * w[2].x; |
| |
| return ret; |
| } |
| |
| void main() |
| { |
| Image src = GC_CONVERT_TO_IMAGE_STRUCT(src); |
| Tensor3D weights = GC_CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(weights); |
| Tensor3D dst = GC_CONVERT_TO_TENSOR3D_STRUCT(dst); |
| |
| #ifdef BIAS |
| Vector bias = GC_CONVERT_TO_VECTOR_STRUCT_NO_STEP(bias); |
| #endif /* BIAS */ |
| |
| vec4 res[2]; |
| vec2 w[3]; |
| vec4 s[STRIDE_X + 2]; |
| uvec4 packed_d; |
| uint z_index = gl_GlobalInvocationID.z; |
| |
| res[0] = vec4(0); |
| res[1] = vec4(0); |
| weights.current_offset += z_index * weights_stride_w; |
| |
| for(int d = 0; d < int(weights_depth); ++d) |
| { |
| for(int row = 0; row < 5; row++) |
| { |
| w = load_weight(weights, row); |
| s = LOAD_SRC(src, row); |
| res[0] += CONVOLVE1x5(s, w)[0]; |
| res[1] += CONVOLVE1x5(s, w)[1]; |
| } |
| |
| src.current_offset += src_stride_z; |
| weights.current_offset += weights_stride_z; |
| } |
| |
| #ifdef BIAS |
| uint packed_b; |
| float b; |
| |
| GC_LOAD1_1D_OFFSET(packed_b, bias, z_index); |
| b = (z_index % uint(2) == uint(0)) ? unpackHalf2x16(packed_b).x : unpackHalf2x16(packed_b).y; |
| res[0] += vec4(b); |
| res[1] += vec4(b); |
| #endif /* BIAS */ |
| |
| packed_d.xy = uvec2(packHalf2x16(res[0].xy), packHalf2x16(res[0].zw)); |
| packed_d.zw = uvec2(packHalf2x16(res[1].xy), packHalf2x16(res[1].zw)); |
| GC_STORE1_3D_OFFSET(packed_d, dst, 0, 0, 0); |
| } |
| |
| #else /* defined(PROCESS_4X_1Y_1Z) */ |
| |
| #endif /* defined(PROCESS_4X_1Y_1Z) */ |
| |
| #else /* DATA_TYPE_FP16 */ |
| #error Data type not supported |
| #endif /* DATA_TYPE_FP16 */ |