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- // Tencent is pleased to support the open source community by making ncnn available.
- //
- // Copyright (C) 2019 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
- #endif
- #if NCNN_fp16_arithmetic
- #extension GL_AMD_gpu_shader_half_float: 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 (local_size_x_id = 233) in;
- layout (local_size_y_id = 234) in;
- layout (local_size_z_id = 235) in;
-
- layout (binding = 0) readonly buffer bottom_blob { sfp bottom_blob_data[]; };
- layout (binding = 1) writeonly buffer top_blob { sfp top_blob_data[]; };
- layout (binding = 2) readonly buffer weight_blob { sfp weight_data[]; };
- layout (binding = 3) readonly buffer bias_blob { sfp bias_data[]; };
-
- 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 >= p.outw || gy >= p.outh || gz >= p.outc)
- return;
-
- afp sum;
-
- if (bias_term == 1)
- {
- sum = afp(bias_data[gz]);
- }
- else
- {
- sum = afp(0.f);
- }
-
- const int kernel_extent_w = dilation_w * (kernel_w - 1) + 1;
- const int kernel_extent_h = dilation_h * (kernel_h - 1) + 1;
-
- // depth-wise deconvolution
- int v_offset_0 = gz * p.cstep;
- int w_offset_0 = gz * kernel_w * kernel_h;
-
- for (int y = 0; y < kernel_h; y++)
- {
- int sys = (gy + y * dilation_h - (kernel_extent_h - 1));
- if (sys % stride_h != 0)
- continue;
-
- int sy = sys / stride_h;
- if (sy < 0 || sy >= p.h)
- continue;
-
- for (int x = 0; x < kernel_w; x++)
- {
- int sxs = (gx + x * dilation_w - (kernel_extent_w - 1));
- if (sxs % stride_w != 0)
- continue;
-
- int sx = sxs / stride_w;
- if (sx < 0 || sx >= p.w)
- continue;
-
- int v_offset = v_offset_0 + sy * p.w + sx;
- int w_offset = w_offset_0 + y * kernel_w + x;
-
- sum += afp(weight_data[w_offset]) * afp(bottom_blob_data[v_offset]);
- }
- }
-
- top_blob_data[gz * p.outcstep + gy * p.outw + gx] = sfp(sum);
- }
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