// Tencent is pleased to support the open source community by making ncnn available. // // Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved. // // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except // in compliance with the License. You may obtain a copy of the License at // // https://opensource.org/licenses/BSD-3-Clause // // Unless required by applicable law or agreed to in writing, software distributed // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR // CONDITIONS OF ANY KIND, either express or implied. See the License for the // specific language governing permissions and limitations under the License. #version 450 #if NCNN_fp16_storage #extension GL_EXT_shader_16bit_storage: require struct sfpvec8 { f16vec4 abcd; f16vec4 efgh; }; #endif #if NCNN_fp16_arithmetic #extension GL_EXT_shader_explicit_arithmetic_types_float16: require #endif layout (constant_id = 0) const int kernel_w = 1; layout (constant_id = 1) const int kernel_h = 1; layout (constant_id = 2) const int dilation_w = 1; layout (constant_id = 3) const int dilation_h = 1; layout (constant_id = 4) const int stride_w = 1; layout (constant_id = 5) const int stride_h = 1; layout (constant_id = 6) const int bias_term = 0; layout (constant_id = 7) const int group = 1; layout (constant_id = 8) const int activation_type = 0; layout (constant_id = 9) const float activation_param_0 = 0; layout (constant_id = 10) const float activation_param_1 = 0; #define shape_constant_id_offset 11 layout (constant_id = shape_constant_id_offset + 0) const int dims = 0; layout (constant_id = shape_constant_id_offset + 1) const int w = 0; layout (constant_id = shape_constant_id_offset + 2) const int h = 0; layout (constant_id = shape_constant_id_offset + 3) const int c = 0; layout (constant_id = shape_constant_id_offset + 4) const int cstep = 0; layout (constant_id = shape_constant_id_offset + 5) const int outdims = 0; layout (constant_id = shape_constant_id_offset + 6) const int outw = 0; layout (constant_id = shape_constant_id_offset + 7) const int outh = 0; layout (constant_id = shape_constant_id_offset + 8) const int outc = 0; layout (constant_id = shape_constant_id_offset + 9) const int outcstep = 0; layout (local_size_x_id = 233) in; layout (local_size_y_id = 234) in; layout (local_size_z_id = 235) in; #if NCNN_image_shader layout (binding = 0) uniform unfp sampler3D bottom_blob; layout (binding = 1, imfmtc4) writeonly uniform unfp image3D top_blob; layout (binding = 2) uniform unfp sampler3D weight_blob; layout (binding = 3) uniform unfp sampler1D bias_blob; #else // NCNN_image_shader layout (binding = 0) readonly buffer bottom_blob { sfpvec8 bottom_blob_data[]; }; layout (binding = 1) writeonly buffer top_blob { sfpvec8 top_blob_data[]; }; layout (binding = 2) readonly buffer weight_blob { sfpvec8 weight_data[]; }; layout (binding = 3) readonly buffer bias_blob { sfpvec8 bias_data[]; }; #endif // NCNN_image_shader layout (push_constant) uniform parameter { int dims; int w; int h; int c; int cstep; int outdims; int outw; int outh; int outc; int outcstep; } p; void main() { int gx = int(gl_GlobalInvocationID.x); int gy = int(gl_GlobalInvocationID.y); int gz = int(gl_GlobalInvocationID.z); if (gx >= psc(outw) || gy >= psc(outh) || gz >= psc(outc)) return; afpvec8 sum; if (bias_term == 1) { #if NCNN_image_shader sum = image1d_ld8(bias_blob, gz); #else sum = buffer_ld8(bias_data, gz); #endif } else { sum = afpvec8(afpvec4(0.f), afpvec4(0.f)); } // group convolution const int channels_g = psc(c) / group; const int num_output_g = psc(outc) / group; // group id const int gg = gz / num_output_g; #if NCNN_image_shader int sz = gg * channels_g; for (int z = 0; z < channels_g; z++) { int sy = gy * stride_h; int wx = 0; for (int y = 0; y < kernel_h; y++) { int sx = gx * stride_w; for (int x = 0; x < kernel_w; x++) { afpvec8 v = image3d_ld8(bottom_blob, ivec3(sx, sy, sz)); afpvec8 k0 = image3d_ld8(weight_blob, ivec3(wx + 0, z, gz)); afpvec8 k1 = image3d_ld8(weight_blob, ivec3(wx + 1, z, gz)); afpvec8 k2 = image3d_ld8(weight_blob, ivec3(wx + 2, z, gz)); afpvec8 k3 = image3d_ld8(weight_blob, ivec3(wx + 3, z, gz)); afpvec8 k4 = image3d_ld8(weight_blob, ivec3(wx + 4, z, gz)); afpvec8 k5 = image3d_ld8(weight_blob, ivec3(wx + 5, z, gz)); afpvec8 k6 = image3d_ld8(weight_blob, ivec3(wx + 6, z, gz)); afpvec8 k7 = image3d_ld8(weight_blob, ivec3(wx + 7, z, gz)); // sum += v * k sum[0].r += dot(v[0], k0[0]) + dot(v[1], k0[1]); sum[0].g += dot(v[0], k1[0]) + dot(v[1], k1[1]); sum[0].b += dot(v[0], k2[0]) + dot(v[1], k2[1]); sum[0].a += dot(v[0], k3[0]) + dot(v[1], k3[1]); sum[1].r += dot(v[0], k4[0]) + dot(v[1], k4[1]); sum[1].g += dot(v[0], k5[0]) + dot(v[1], k5[1]); sum[1].b += dot(v[0], k6[0]) + dot(v[1], k6[1]); sum[1].a += dot(v[0], k7[0]) + dot(v[1], k7[1]); sx += dilation_w; wx += 8; } sy += dilation_h; } sz += 1; } #else // NCNN_image_shader int w_offset = gz * channels_g * kernel_w * kernel_h; int v_offset_0 = gg * channels_g * psc(cstep); for (int z = 0; z < channels_g; z++) { int v_offset = v_offset_0 + gy * stride_h * psc(w) + gx * stride_w; for (int y = 0; y < kernel_h; y++) { for (int x = 0; x < kernel_w; x++) { afpvec8 v = buffer_ld8(bottom_blob_data, v_offset + x * dilation_w); afpvec8 k0 = buffer_ld8(weight_data, (w_offset + x) * 8 + 0); afpvec8 k1 = buffer_ld8(weight_data, (w_offset + x) * 8 + 1); afpvec8 k2 = buffer_ld8(weight_data, (w_offset + x) * 8 + 2); afpvec8 k3 = buffer_ld8(weight_data, (w_offset + x) * 8 + 3); afpvec8 k4 = buffer_ld8(weight_data, (w_offset + x) * 8 + 4); afpvec8 k5 = buffer_ld8(weight_data, (w_offset + x) * 8 + 5); afpvec8 k6 = buffer_ld8(weight_data, (w_offset + x) * 8 + 6); afpvec8 k7 = buffer_ld8(weight_data, (w_offset + x) * 8 + 7); // sum += v * k sum[0].r += dot(v[0], k0[0]) + dot(v[1], k0[1]); sum[0].g += dot(v[0], k1[0]) + dot(v[1], k1[1]); sum[0].b += dot(v[0], k2[0]) + dot(v[1], k2[1]); sum[0].a += dot(v[0], k3[0]) + dot(v[1], k3[1]); sum[1].r += dot(v[0], k4[0]) + dot(v[1], k4[1]); sum[1].g += dot(v[0], k5[0]) + dot(v[1], k5[1]); sum[1].b += dot(v[0], k6[0]) + dot(v[1], k6[1]); sum[1].a += dot(v[0], k7[0]) + dot(v[1], k7[1]); } v_offset += dilation_h * psc(w); w_offset += kernel_w; } v_offset_0 += psc(cstep); } #endif // NCNN_image_shader if (activation_type == 1) { sum[0] = max(sum[0], afp(0.f)); sum[1] = max(sum[1], afp(0.f)); } if (activation_type == 2) { const afp slope = afp(activation_param_0); sum[0] = mix(sum[0], sum[0] * afp(slope), lessThan(sum[0], afpvec4(0.f))); sum[1] = mix(sum[1], sum[1] * afp(slope), lessThan(sum[1], afpvec4(0.f))); } if (activation_type == 3) { const afp const_min = afp(activation_param_0); const afp const_max = afp(activation_param_1); sum[0] = clamp(sum[0], const_min, const_max); sum[1] = clamp(sum[1], const_min, const_max); } if (activation_type == 4) { sum[0] = afp(1.f) / (afp(1.f) + exp(-sum[0])); sum[1] = afp(1.f) / (afp(1.f) + exp(-sum[1])); } #if NCNN_image_shader image3d_st8(top_blob, ivec3(gx, gy, gz), sum); #else const int gi = gz * psc(outcstep) + gy * psc(outw) + gx; buffer_st8(top_blob_data, gi, sum); #endif }