// 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. #include "eltwise_vulkan.h" #include "layer_shader_type.h" namespace ncnn { Eltwise_vulkan::Eltwise_vulkan() { support_vulkan = true; support_image_storage = true; pipeline_eltwise[0] = 0; pipeline_eltwise[1] = 0; pipeline_eltwise_pack4[0] = 0; pipeline_eltwise_pack4[1] = 0; pipeline_eltwise_pack8[0] = 0; pipeline_eltwise_pack8[1] = 0; } int Eltwise_vulkan::create_pipeline(const Option& opt) { const Mat& shape = top_shapes.empty() ? Mat() : top_shapes[0]; int elempack = 1; if (shape.dims == 1) elempack = opt.use_shader_pack8 && shape.w % 8 == 0 ? 8 : shape.w % 4 == 0 ? 4 : 1; if (shape.dims == 2) elempack = opt.use_shader_pack8 && shape.h % 8 == 0 ? 8 : shape.h % 4 == 0 ? 4 : 1; if (shape.dims == 3 || shape.dims == 4) elempack = opt.use_shader_pack8 && shape.c % 8 == 0 ? 8 : shape.c % 4 == 0 ? 4 : 1; size_t elemsize; if (opt.use_fp16_storage) { elemsize = elempack * 2u; } else if (opt.use_fp16_packed) { elemsize = elempack == 1 ? 4u : elempack * 2u; } else { elemsize = elempack * 4u; } Mat shape_packed; if (shape.dims == 1) shape_packed = Mat(shape.w / elempack, (void*)0, elemsize, elempack); if (shape.dims == 2) shape_packed = Mat(shape.w, shape.h / elempack, (void*)0, elemsize, elempack); if (shape.dims == 3 || shape.dims == 4) shape_packed = Mat(shape.w, shape.h, shape.c / elempack, (void*)0, elemsize, elempack); std::vector specializations(2 + 5); specializations[0].i = op_type; specializations[1].i = coeffs.w == 0 ? 0 : 1; specializations[2 + 0].i = shape_packed.dims; specializations[2 + 1].i = shape_packed.w; specializations[2 + 2].i = shape_packed.h * shape_packed.d; specializations[2 + 3].i = shape_packed.c; specializations[2 + 4].i = shape_packed.cstep; Mat local_size_xyz; if (shape_packed.dims == 1) { local_size_xyz.w = std::min(64, shape_packed.w); local_size_xyz.h = 1; local_size_xyz.c = 1; } if (shape_packed.dims == 2) { local_size_xyz.w = std::min(8, shape_packed.w); local_size_xyz.h = std::min(8, shape_packed.h); local_size_xyz.c = 1; } if (shape_packed.dims == 3) { local_size_xyz.w = std::min(4, shape_packed.w); local_size_xyz.h = std::min(4, shape_packed.h); local_size_xyz.c = std::min(4, shape_packed.c); } if (shape_packed.dims == 4) { local_size_xyz.w = std::min(4, shape_packed.w); local_size_xyz.h = std::min(4, shape_packed.h * shape_packed.d); local_size_xyz.c = std::min(4, shape_packed.c); } // pack1 if (shape.dims == 0 || elempack == 1) { pipeline_eltwise[0] = new Pipeline(vkdev); pipeline_eltwise[0]->set_optimal_local_size_xyz(local_size_xyz); pipeline_eltwise[0]->create(LayerShaderType::eltwise, opt, specializations); pipeline_eltwise[1] = new Pipeline(vkdev); pipeline_eltwise[1]->set_optimal_local_size_xyz(local_size_xyz); pipeline_eltwise[1]->create(LayerShaderType::eltwise, opt, specializations); } // pack4 if (shape.dims == 0 || elempack == 4) { pipeline_eltwise_pack4[0] = new Pipeline(vkdev); pipeline_eltwise_pack4[0]->set_optimal_local_size_xyz(local_size_xyz); pipeline_eltwise_pack4[0]->create(LayerShaderType::eltwise_pack4, opt, specializations); pipeline_eltwise_pack4[1] = new Pipeline(vkdev); pipeline_eltwise_pack4[1]->set_optimal_local_size_xyz(local_size_xyz); pipeline_eltwise_pack4[1]->create(LayerShaderType::eltwise_pack4, opt, specializations); } // pack8 if ((opt.use_shader_pack8 && shape.dims == 0) || elempack == 8) { pipeline_eltwise_pack8[0] = new Pipeline(vkdev); pipeline_eltwise_pack8[0]->set_optimal_local_size_xyz(local_size_xyz); pipeline_eltwise_pack8[0]->create(LayerShaderType::eltwise_pack8, opt, specializations); pipeline_eltwise_pack8[1] = new Pipeline(vkdev); pipeline_eltwise_pack8[1]->set_optimal_local_size_xyz(local_size_xyz); pipeline_eltwise_pack8[1]->create(LayerShaderType::eltwise_pack8, opt, specializations); } return 0; } int Eltwise_vulkan::destroy_pipeline(const Option& /*opt*/) { delete pipeline_eltwise[0]; delete pipeline_eltwise[1]; pipeline_eltwise[0] = 0; pipeline_eltwise[1] = 0; delete pipeline_eltwise_pack4[0]; delete pipeline_eltwise_pack4[1]; pipeline_eltwise_pack4[0] = 0; pipeline_eltwise_pack4[1] = 0; delete pipeline_eltwise_pack8[0]; delete pipeline_eltwise_pack8[1]; pipeline_eltwise_pack8[0] = 0; pipeline_eltwise_pack8[1] = 0; return 0; } int Eltwise_vulkan::forward(const std::vector& bottom_blobs, std::vector& top_blobs, VkCompute& cmd, const Option& opt) const { const VkMat& bottom_blob = bottom_blobs[0]; const VkMat& bottom_blob1 = bottom_blobs[1]; int elempack = bottom_blob.elempack; VkMat& top_blob = top_blobs[0]; top_blob.create_like(bottom_blob, opt.blob_vkallocator); if (top_blob.empty()) return -100; std::vector bindings(3); bindings[0] = bottom_blob; bindings[1] = bottom_blob1; bindings[2] = top_blob; std::vector constants(5 + 2); constants[0].i = top_blob.dims; constants[1].i = top_blob.w; constants[2].i = top_blob.h * top_blob.d; constants[3].i = top_blob.c; constants[4].i = top_blob.cstep; constants[5].f = coeffs.w == 0 ? 1.f : coeffs[0]; constants[6].f = coeffs.w == 0 ? 1.f : coeffs[1]; const Pipeline* pipeline = elempack == 8 ? pipeline_eltwise_pack8[1] : elempack == 4 ? pipeline_eltwise_pack4[1] : pipeline_eltwise[1]; cmd.record_pipeline(pipeline, bindings, constants, top_blob); for (size_t b = 2; b < bottom_blobs.size(); b++) { std::vector bindings(3); bindings[0] = top_blob; bindings[1] = bottom_blobs[b]; bindings[2] = top_blob; // TODO use separated pipeline ? std::vector constants(5 + 2); constants[0].i = top_blob.dims; constants[1].i = top_blob.w; constants[2].i = top_blob.h * top_blob.d; constants[3].i = top_blob.c; constants[4].i = top_blob.cstep; constants[5].f = 1.f; constants[6].f = coeffs.w == 0 ? 1 : coeffs[b]; const Pipeline* pipeline = elempack == 8 ? pipeline_eltwise_pack8[b % 2] : elempack == 4 ? pipeline_eltwise_pack4[b % 2] : pipeline_eltwise[b % 2]; cmd.record_pipeline(pipeline, bindings, constants, top_blob); } return 0; } int Eltwise_vulkan::forward(const std::vector& bottom_blobs, std::vector& top_blobs, VkCompute& cmd, const Option& opt) const { const VkImageMat& bottom_blob = bottom_blobs[0]; const VkImageMat& bottom_blob1 = bottom_blobs[1]; int elempack = bottom_blob.elempack; VkImageMat& top_blob = top_blobs[0]; top_blob.create_like(bottom_blob, opt.blob_vkallocator); if (top_blob.empty()) return -100; std::vector bindings(3); bindings[0] = bottom_blob; bindings[1] = bottom_blob1; bindings[2] = top_blob; std::vector constants(5 + 2); constants[0].i = top_blob.dims; constants[1].i = top_blob.w; constants[2].i = top_blob.h * top_blob.d; constants[3].i = top_blob.c; constants[4].i = 0; //top_blob.cstep; constants[5].f = coeffs.w == 0 ? 1.f : coeffs[0]; constants[6].f = coeffs.w == 0 ? 1.f : coeffs[1]; const Pipeline* pipeline = elempack == 8 ? pipeline_eltwise_pack8[1] : elempack == 4 ? pipeline_eltwise_pack4[1] : pipeline_eltwise[1]; cmd.record_pipeline(pipeline, bindings, constants, top_blob); for (size_t b = 2; b < bottom_blobs.size(); b++) { std::vector bindings(3); bindings[0] = top_blob; bindings[1] = bottom_blobs[b]; bindings[2] = top_blob; // TODO use separated pipeline ? std::vector constants(5 + 2); constants[0].i = top_blob.dims; constants[1].i = top_blob.w; constants[2].i = top_blob.h * top_blob.d; constants[3].i = top_blob.c; constants[4].i = 0; //top_blob.cstep; constants[5].f = 1.f; constants[6].f = coeffs.w == 0 ? 1 : coeffs[b]; const Pipeline* pipeline = elempack == 8 ? pipeline_eltwise_pack8[b % 2] : elempack == 4 ? pipeline_eltwise_pack4[b % 2] : pipeline_eltwise[b % 2]; cmd.record_pipeline(pipeline, bindings, constants, top_blob); } return 0; } } // namespace ncnn