ncnn

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deconvolution_pack8_col2im.comp 
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// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2022 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#version 450
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#if NCNN_fp16_storage
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#extension GL_EXT_shader_16bit_storage: require
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struct sfpvec8 { f16vec4 abcd; f16vec4 efgh; };
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#endif
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#if NCNN_fp16_arithmetic
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#extension GL_EXT_shader_explicit_arithmetic_types_float16: require
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#endif
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#extension GL_GOOGLE_include_directive: enable
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#include "vulkan_activation.comp"
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layout (constant_id = 0) const int kernel_w = 1;
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layout (constant_id = 1) const int kernel_h = 1;
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layout (constant_id = 2) const int dilation_w = 1;
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layout (constant_id = 3) const int dilation_h = 1;
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layout (constant_id = 4) const int stride_w = 1;
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layout (constant_id = 5) const int stride_h = 1;
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layout (constant_id = 6) const int bias_term = 0;
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layout (constant_id = 7) const int activation_type = 0;
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layout (constant_id = 8) const float activation_param_0 = 0;
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layout (constant_id = 9) const float activation_param_1 = 0;
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#define shape_constant_id_offset 10
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layout (constant_id = shape_constant_id_offset + 0) const int w = 0;
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layout (constant_id = shape_constant_id_offset + 1) const int h = 0;
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layout (constant_id = shape_constant_id_offset + 2) const int outw = 0;
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layout (constant_id = shape_constant_id_offset + 3) const int outh = 0;
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layout (constant_id = shape_constant_id_offset + 4) const int outc = 0;
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layout (constant_id = shape_constant_id_offset + 5) const int outcstep = 0;
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#if NCNN_image_shader
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layout (binding = 0) uniform unfp sampler3D col_blob;
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layout (binding = 1, imfmtc4) writeonly uniform unfp image3D top_blob;
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layout (binding = 2) uniform unfp sampler3D bias_blob;
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#else
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layout (binding = 0) readonly buffer col_blob { sfpvec8 col_blob_data[]; };
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layout (binding = 1) writeonly buffer top_blob { sfpvec8 top_blob_data[]; };
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layout (binding = 2) readonly buffer bias_blob { sfpvec8 bias_data[]; };
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#endif
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layout (push_constant) uniform parameter
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{
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    int w;
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    int h;
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    int outw;
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    int outh;
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    int outc;
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    int outcstep;
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} p;
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void main()
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{
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    int gx = int(gl_GlobalInvocationID.x);
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    int gy = int(gl_GlobalInvocationID.y);
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    int gz = int(gl_GlobalInvocationID.z);
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    if (gx >= psc(outw) || gy >= psc(outh) || gz >= psc(outc))
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        return;
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    afpvec8 sum;
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    if (bias_term == 1)
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    {
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#if NCNN_image_shader
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        sum = image3d_ld8(bias_blob, ivec3(gz, 0, 0));
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#else
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        sum = buffer_ld8(bias_data, gz);
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#endif
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    }
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    else
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    {
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        sum = afpvec8(afpvec4(0.f), afpvec4(0.f));
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    }
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    const int maxk = kernel_w * kernel_h;
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    const int kernel_extent_w = dilation_w * (kernel_w - 1) + 1;
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    const int kernel_extent_h = dilation_h * (kernel_h - 1) + 1;
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    const int sx_start = (gx < kernel_extent_w) ? 0 : (gx - kernel_extent_w) / stride_w + 1;
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    const int sx_end = min(gx / stride_w + 1, psc(w));
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    const int sy_start = (gy < kernel_extent_h) ? 0 : (gy - kernel_extent_h) / stride_h + 1;
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    const int sy_end = min(gy / stride_h + 1, psc(h));
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    for (int sy = sy_start; sy < sy_end; sy += 1)
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    {
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        for (int sx = sx_start; sx < sx_end; sx += 1)
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        {
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            int h_k = (gy - sy * stride_h);
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            int w_k = (gx - sx * stride_w);
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            if (h_k % dilation_h == 0 && w_k % dilation_w == 0)
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            {
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                h_k /= dilation_h;
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                w_k /= dilation_w;
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#if NCNN_image_shader
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                sum += image3d_ld8(col_blob, ivec3(sy * psc(w) + sx, gz * maxk + h_k * kernel_w + w_k, 0));
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#else
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                const int gi = (gz * maxk + h_k * kernel_w + w_k) * psc(w) * psc(h) + sy * psc(w) + sx;
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                sum += buffer_ld8(col_blob_data, gi);
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#endif
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            }
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        }
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    }
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    sum = activation_afpvec8(sum, activation_type, activation_param_0, activation_param_1);
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#if NCNN_image_shader
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    image3d_st8(top_blob, ivec3(gx, gy, gz), sum);
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#else
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    const int gi = gz * psc(outcstep) + gy * psc(outw) + gx;
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    buffer_st8(top_blob_data, gi, sum);
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#endif
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}
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