// 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. #include "layer/packing.h" #include "testutil.h" static int test_packing_cpu(const ncnn::Mat& a, int in_elempack, int out_elempack) { ncnn::ParamDict pd; pd.set(0, out_elempack); std::vector weights(0); ncnn::Option opt; opt.num_threads = 1; opt.use_vulkan_compute = false; opt.use_int8_inference = false; opt.use_packing_layout = false; ncnn::Layer* op = ncnn::create_layer("Packing"); op->load_param(pd); ncnn::ModelBinFromMatArray mb(weights.data()); op->load_model(mb); op->create_pipeline(opt); ncnn::Mat ap; ncnn::convert_packing(a, ap, in_elempack); ncnn::Mat b; ((ncnn::Packing*)op)->ncnn::Packing::forward(ap, b, opt); ncnn::Mat c; op->forward(ap, c, opt); op->destroy_pipeline(opt); delete op; if (CompareMat(b, c, 0.001) != 0) { fprintf(stderr, "test_packing_cpu failed a.dims=%d a=(%d %d %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.c, in_elempack, out_elempack); return -1; } return 0; } #if NCNN_VULKAN #include "layer/vulkan/packing_vulkan.h" static int test_packing_gpu_buffer(const ncnn::Mat& a, int in_elempack, int out_elempack) { ncnn::ParamDict pd; pd.set(0, out_elempack); pd.set(2, 1); // cast_type_from pd.set(3, 1); // cast_type_to pd.set(4, 0); // storage_type_from pd.set(5, 0); // storage_type_to std::vector weights(0); ncnn::Option opt; opt.num_threads = 1; opt.use_vulkan_compute = true; opt.use_int8_inference = false; opt.use_fp16_packed = false; opt.use_fp16_storage = false; opt.use_fp16_arithmetic = false; opt.use_int8_storage = false; opt.use_int8_arithmetic = false; opt.use_packing_layout = true; opt.use_shader_pack8 = true; opt.use_image_storage = false; ncnn::VulkanDevice* vkdev = ncnn::get_gpu_device(); ncnn::VkAllocator* blob_vkallocator = vkdev->acquire_blob_allocator(); ncnn::VkAllocator* staging_vkallocator = vkdev->acquire_staging_allocator(); opt.blob_vkallocator = blob_vkallocator; opt.workspace_vkallocator = blob_vkallocator; opt.staging_vkallocator = staging_vkallocator; if (!vkdev->info.support_fp16_packed) opt.use_fp16_packed = false; if (!vkdev->info.support_fp16_storage) opt.use_fp16_storage = false; ncnn::Layer* op = ncnn::create_layer("Packing"); op->vkdev = vkdev; op->load_param(pd); ncnn::ModelBinFromMatArray mb(weights.data()); op->load_model(mb); op->create_pipeline(opt); ncnn::Mat ap; ncnn::convert_packing(a, ap, in_elempack); ncnn::Mat b; ((ncnn::Packing*)op)->ncnn::Packing::forward(ap, b, opt); ncnn::Mat d; // forward ncnn::VkCompute cmd(vkdev); // upload ncnn::VkMat a_gpu; cmd.record_clone(ap, a_gpu, opt); ncnn::VkMat d_gpu; op->forward(a_gpu, d_gpu, cmd, opt); // download cmd.record_clone(d_gpu, d, opt); cmd.submit_and_wait(); op->destroy_pipeline(opt); delete op; vkdev->reclaim_blob_allocator(blob_vkallocator); vkdev->reclaim_staging_allocator(staging_vkallocator); if (CompareMat(b, d, 0.001) != 0) { fprintf(stderr, "test_packing_gpu_buffer failed a.dims=%d a=(%d %d %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.c, in_elempack, out_elempack); return -1; } return 0; } static int test_packing_gpu_image(const ncnn::Mat& a, int in_elempack, int out_elempack) { ncnn::ParamDict pd; pd.set(0, out_elempack); pd.set(2, 1); // cast_type_from pd.set(3, 1); // cast_type_to pd.set(4, 1); // storage_type_from pd.set(5, 1); // storage_type_to std::vector weights(0); ncnn::Option opt; opt.num_threads = 1; opt.use_vulkan_compute = true; opt.use_int8_inference = false; opt.use_fp16_packed = false; opt.use_fp16_storage = false; opt.use_fp16_arithmetic = false; opt.use_int8_storage = false; opt.use_int8_arithmetic = false; opt.use_packing_layout = true; opt.use_shader_pack8 = true; opt.use_image_storage = true; ncnn::VulkanDevice* vkdev = ncnn::get_gpu_device(); if (vkdev->info.bug_layout_binding_id_alias) return 0; ncnn::VkAllocator* blob_vkallocator = vkdev->acquire_blob_allocator(); ncnn::VkAllocator* staging_vkallocator = vkdev->acquire_staging_allocator(); opt.blob_vkallocator = blob_vkallocator; opt.workspace_vkallocator = blob_vkallocator; opt.staging_vkallocator = staging_vkallocator; if (!vkdev->info.support_fp16_packed) opt.use_fp16_packed = false; if (!vkdev->info.support_fp16_storage) opt.use_fp16_storage = false; ncnn::Layer* op = ncnn::create_layer("Packing"); op->vkdev = vkdev; op->load_param(pd); ncnn::ModelBinFromMatArray mb(weights.data()); op->load_model(mb); op->create_pipeline(opt); ncnn::Mat ap; ncnn::convert_packing(a, ap, in_elempack); ncnn::Mat b; ((ncnn::Packing*)op)->ncnn::Packing::forward(ap, b, opt); ncnn::Mat d; // forward ncnn::VkCompute cmd(vkdev); // upload ncnn::VkImageMat a_gpu; cmd.record_clone(ap, a_gpu, opt); ncnn::VkImageMat d_gpu; op->forward(a_gpu, d_gpu, cmd, opt); // download cmd.record_clone(d_gpu, d, opt); cmd.submit_and_wait(); op->destroy_pipeline(opt); delete op; vkdev->reclaim_blob_allocator(blob_vkallocator); vkdev->reclaim_staging_allocator(staging_vkallocator); if (CompareMat(b, d, 0.001) != 0) { fprintf(stderr, "test_packing_gpu_image failed a.dims=%d a=(%d %d %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.c, in_elempack, out_elempack); return -1; } return 0; } static int test_packing_gpu_buffer2image(const ncnn::Mat& a, int in_elempack, int out_elempack) { ncnn::ParamDict pd; pd.set(0, out_elempack); pd.set(2, 1); // cast_type_from pd.set(3, 1); // cast_type_to pd.set(4, 0); // storage_type_from pd.set(5, 1); // storage_type_to std::vector weights(0); ncnn::Option opt; opt.num_threads = 1; opt.use_vulkan_compute = true; opt.use_int8_inference = false; opt.use_fp16_packed = false; opt.use_fp16_storage = false; opt.use_fp16_arithmetic = false; opt.use_int8_storage = false; opt.use_int8_arithmetic = false; opt.use_packing_layout = true; opt.use_shader_pack8 = true; opt.use_image_storage = true; ncnn::VulkanDevice* vkdev = ncnn::get_gpu_device(); if (vkdev->info.bug_layout_binding_id_alias) return 0; ncnn::VkAllocator* blob_vkallocator = vkdev->acquire_blob_allocator(); ncnn::VkAllocator* staging_vkallocator = vkdev->acquire_staging_allocator(); opt.blob_vkallocator = blob_vkallocator; opt.workspace_vkallocator = blob_vkallocator; opt.staging_vkallocator = staging_vkallocator; if (!vkdev->info.support_fp16_packed) opt.use_fp16_packed = false; if (!vkdev->info.support_fp16_storage) opt.use_fp16_storage = false; ncnn::Packing_vulkan* op = new ncnn::Packing_vulkan; op->vkdev = vkdev; op->load_param(pd); ncnn::ModelBinFromMatArray mb(weights.data()); op->load_model(mb); op->create_pipeline(opt); ncnn::Mat ap; ncnn::convert_packing(a, ap, in_elempack); ncnn::Mat b; ((ncnn::Packing*)op)->ncnn::Packing::forward(ap, b, opt); ncnn::Mat d; // forward ncnn::VkCompute cmd(vkdev); // upload ncnn::VkMat a_gpu; cmd.record_clone(ap, a_gpu, opt); ncnn::VkImageMat d_gpu; op->forward(a_gpu, d_gpu, cmd, opt); // download cmd.record_clone(d_gpu, d, opt); cmd.submit_and_wait(); op->destroy_pipeline(opt); delete op; vkdev->reclaim_blob_allocator(blob_vkallocator); vkdev->reclaim_staging_allocator(staging_vkallocator); if (CompareMat(b, d, 0.001) != 0) { fprintf(stderr, "test_packing_gpu_buffer2image failed a.dims=%d a=(%d %d %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.c, in_elempack, out_elempack); return -1; } return 0; } static int test_packing_gpu_image2buffer(const ncnn::Mat& a, int in_elempack, int out_elempack) { ncnn::ParamDict pd; pd.set(0, out_elempack); pd.set(2, 1); // cast_type_from pd.set(3, 1); // cast_type_to pd.set(4, 1); // storage_type_from pd.set(5, 0); // storage_type_to std::vector weights(0); ncnn::Option opt; opt.num_threads = 1; opt.use_vulkan_compute = true; opt.use_int8_inference = false; opt.use_fp16_packed = false; opt.use_fp16_storage = false; opt.use_fp16_arithmetic = false; opt.use_int8_storage = false; opt.use_int8_arithmetic = false; opt.use_packing_layout = true; opt.use_shader_pack8 = true; opt.use_image_storage = true; ncnn::VulkanDevice* vkdev = ncnn::get_gpu_device(); if (vkdev->info.bug_layout_binding_id_alias) return 0; ncnn::VkAllocator* blob_vkallocator = vkdev->acquire_blob_allocator(); ncnn::VkAllocator* staging_vkallocator = vkdev->acquire_staging_allocator(); opt.blob_vkallocator = blob_vkallocator; opt.workspace_vkallocator = blob_vkallocator; opt.staging_vkallocator = staging_vkallocator; if (!vkdev->info.support_fp16_packed) opt.use_fp16_packed = false; if (!vkdev->info.support_fp16_storage) opt.use_fp16_storage = false; ncnn::Packing_vulkan* op = new ncnn::Packing_vulkan; op->vkdev = vkdev; op->load_param(pd); ncnn::ModelBinFromMatArray mb(weights.data()); op->load_model(mb); op->create_pipeline(opt); ncnn::Mat ap; ncnn::convert_packing(a, ap, in_elempack); ncnn::Mat b; ((ncnn::Packing*)op)->ncnn::Packing::forward(ap, b, opt); ncnn::Mat d; // forward ncnn::VkCompute cmd(vkdev); // upload ncnn::VkImageMat a_gpu; cmd.record_clone(ap, a_gpu, opt); ncnn::VkMat d_gpu; op->forward(a_gpu, d_gpu, cmd, opt); // download cmd.record_clone(d_gpu, d, opt); cmd.submit_and_wait(); op->destroy_pipeline(opt); delete op; vkdev->reclaim_blob_allocator(blob_vkallocator); vkdev->reclaim_staging_allocator(staging_vkallocator); if (CompareMat(b, d, 0.001) != 0) { fprintf(stderr, "test_packing_gpu_image2buffer failed a.dims=%d a=(%d %d %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.c, in_elempack, out_elempack); return -1; } return 0; } #endif static int test_packing_0() { ncnn::Mat a = RandomMat(9, 10, 16); ncnn::Mat b = RandomMat(9, 10, 3); return 0 || test_packing_cpu(a, 1, 1) || test_packing_cpu(a, 4, 4) || test_packing_cpu(a, 4, 8) || test_packing_cpu(a, 1, 4) || test_packing_cpu(a, 4, 1) || test_packing_cpu(a, 1, 8) || test_packing_cpu(a, 8, 1) || test_packing_cpu(a, 4, 8) || test_packing_cpu(a, 8, 4) || test_packing_cpu(b, 1, 1) || test_packing_cpu(b, 4, 4) || test_packing_cpu(b, 4, 8) || test_packing_cpu(b, 1, 4) || test_packing_cpu(b, 4, 1) || test_packing_cpu(b, 1, 8) || test_packing_cpu(b, 8, 1) || test_packing_cpu(b, 4, 8) || test_packing_cpu(b, 8, 4) #if NCNN_VULKAN || test_packing_gpu_buffer(a, 1, 1) || test_packing_gpu_buffer(a, 4, 4) || test_packing_gpu_buffer(a, 8, 8) || test_packing_gpu_buffer(a, 1, 4) || test_packing_gpu_buffer(a, 4, 1) || test_packing_gpu_buffer(a, 1, 8) || test_packing_gpu_buffer(a, 8, 1) || test_packing_gpu_buffer(a, 4, 8) || test_packing_gpu_buffer(a, 8, 4) || test_packing_gpu_image(a, 1, 1) || test_packing_gpu_image(a, 4, 4) || test_packing_gpu_image(a, 8, 8) || test_packing_gpu_image(a, 1, 4) || test_packing_gpu_image(a, 4, 1) || test_packing_gpu_image(a, 1, 8) || test_packing_gpu_image(a, 8, 1) || test_packing_gpu_image(a, 4, 8) || test_packing_gpu_image(a, 8, 4) || test_packing_gpu_buffer2image(a, 1, 1) || test_packing_gpu_buffer2image(a, 4, 4) || test_packing_gpu_buffer2image(a, 8, 8) || test_packing_gpu_buffer2image(a, 1, 4) || test_packing_gpu_buffer2image(a, 4, 1) || test_packing_gpu_buffer2image(a, 1, 8) || test_packing_gpu_buffer2image(a, 8, 1) || test_packing_gpu_buffer2image(a, 4, 8) || test_packing_gpu_buffer2image(a, 8, 4) || test_packing_gpu_image2buffer(a, 1, 1) || test_packing_gpu_image2buffer(a, 4, 4) || test_packing_gpu_image2buffer(a, 8, 8) || test_packing_gpu_image2buffer(a, 1, 4) || test_packing_gpu_image2buffer(a, 4, 1) || test_packing_gpu_image2buffer(a, 1, 8) || test_packing_gpu_image2buffer(a, 8, 1) || test_packing_gpu_image2buffer(a, 4, 8) || test_packing_gpu_image2buffer(a, 8, 4) #endif // NCNN_VULKAN ; } static int test_packing_1() { ncnn::Mat a = RandomMat(9, 16); return 0 || test_packing_cpu(a, 1, 1) || test_packing_cpu(a, 4, 4) || test_packing_cpu(a, 4, 8) || test_packing_cpu(a, 1, 4) || test_packing_cpu(a, 4, 1) || test_packing_cpu(a, 1, 8) || test_packing_cpu(a, 8, 1) || test_packing_cpu(a, 4, 8) || test_packing_cpu(a, 8, 4) #if NCNN_VULKAN || test_packing_gpu_buffer(a, 1, 1) || test_packing_gpu_buffer(a, 4, 4) || test_packing_gpu_buffer(a, 8, 8) || test_packing_gpu_buffer(a, 1, 4) || test_packing_gpu_buffer(a, 4, 1) || test_packing_gpu_buffer(a, 1, 8) || test_packing_gpu_buffer(a, 8, 1) || test_packing_gpu_buffer(a, 4, 8) || test_packing_gpu_buffer(a, 8, 4) || test_packing_gpu_image(a, 1, 1) || test_packing_gpu_image(a, 4, 4) || test_packing_gpu_image(a, 8, 8) || test_packing_gpu_image(a, 1, 4) || test_packing_gpu_image(a, 4, 1) || test_packing_gpu_image(a, 1, 8) || test_packing_gpu_image(a, 8, 1) || test_packing_gpu_image(a, 4, 8) || test_packing_gpu_image(a, 8, 4) || test_packing_gpu_buffer2image(a, 1, 1) || test_packing_gpu_buffer2image(a, 4, 4) || test_packing_gpu_buffer2image(a, 8, 8) || test_packing_gpu_buffer2image(a, 1, 4) || test_packing_gpu_buffer2image(a, 4, 1) || test_packing_gpu_buffer2image(a, 1, 8) || test_packing_gpu_buffer2image(a, 8, 1) || test_packing_gpu_buffer2image(a, 4, 8) || test_packing_gpu_buffer2image(a, 8, 4) || test_packing_gpu_image2buffer(a, 1, 1) || test_packing_gpu_image2buffer(a, 4, 4) || test_packing_gpu_image2buffer(a, 8, 8) || test_packing_gpu_image2buffer(a, 1, 4) || test_packing_gpu_image2buffer(a, 4, 1) || test_packing_gpu_image2buffer(a, 1, 8) || test_packing_gpu_image2buffer(a, 8, 1) || test_packing_gpu_image2buffer(a, 4, 8) || test_packing_gpu_image2buffer(a, 8, 4) #endif // NCNN_VULKAN ; } static int test_packing_2() { ncnn::Mat a = RandomMat(40); return 0 || test_packing_cpu(a, 1, 1) || test_packing_cpu(a, 4, 4) || test_packing_cpu(a, 4, 8) || test_packing_cpu(a, 1, 4) || test_packing_cpu(a, 4, 1) || test_packing_cpu(a, 1, 8) || test_packing_cpu(a, 8, 1) || test_packing_cpu(a, 4, 8) || test_packing_cpu(a, 8, 4) #if NCNN_VULKAN || test_packing_gpu_buffer(a, 1, 1) || test_packing_gpu_buffer(a, 4, 4) || test_packing_gpu_buffer(a, 8, 8) || test_packing_gpu_buffer(a, 1, 4) || test_packing_gpu_buffer(a, 4, 1) || test_packing_gpu_buffer(a, 1, 8) || test_packing_gpu_buffer(a, 8, 1) || test_packing_gpu_buffer(a, 4, 8) || test_packing_gpu_buffer(a, 8, 4) || test_packing_gpu_image(a, 1, 1) || test_packing_gpu_image(a, 4, 4) || test_packing_gpu_image(a, 8, 8) || test_packing_gpu_image(a, 1, 4) || test_packing_gpu_image(a, 4, 1) || test_packing_gpu_image(a, 1, 8) || test_packing_gpu_image(a, 8, 1) || test_packing_gpu_image(a, 4, 8) || test_packing_gpu_image(a, 8, 4) || test_packing_gpu_buffer2image(a, 1, 1) || test_packing_gpu_buffer2image(a, 4, 4) || test_packing_gpu_buffer2image(a, 8, 8) || test_packing_gpu_buffer2image(a, 1, 4) || test_packing_gpu_buffer2image(a, 4, 1) || test_packing_gpu_buffer2image(a, 1, 8) || test_packing_gpu_buffer2image(a, 8, 1) || test_packing_gpu_buffer2image(a, 4, 8) || test_packing_gpu_buffer2image(a, 8, 4) || test_packing_gpu_image2buffer(a, 1, 1) || test_packing_gpu_image2buffer(a, 4, 4) || test_packing_gpu_image2buffer(a, 8, 8) || test_packing_gpu_image2buffer(a, 1, 4) || test_packing_gpu_image2buffer(a, 4, 1) || test_packing_gpu_image2buffer(a, 1, 8) || test_packing_gpu_image2buffer(a, 8, 1) || test_packing_gpu_image2buffer(a, 4, 8) || test_packing_gpu_image2buffer(a, 8, 4) #endif // NCNN_VULKAN ; } int main() { SRAND(7767517); return 0 || test_packing_0() || test_packing_1() || test_packing_2(); }