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deepin-ocr/3rdparty/ncnn/tests/test_packing.cpp
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN，切换工程为CMake 
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试
2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程
3.重整权利声明文件，重整代码工程，确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

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// 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_fp32(const ncnn::Mat& a, int in_elempack, int out_elempack)
{
ncnn::ParamDict pd;
pd.set(0, out_elempack);
std::vector<ncnn::Mat> weights(0);
ncnn::Option opt;
opt.num_threads = 1;
opt.use_vulkan_compute = false;
opt.use_int8_inference = false;
opt.use_fp16_storage = false;
opt.use_fp16_arithmetic = 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, opt);
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_fp32 failed a.dims=%d a=(%d %d %d %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.d, a.c, in_elempack, out_elempack);
return -1;
}
return 0;
}
static int test_packing_cpu_fp16(const ncnn::Mat& a, int in_elempack, int out_elempack)
{
ncnn::ParamDict pd;
pd.set(0, out_elempack);
std::vector<ncnn::Mat> weights(0);
ncnn::Option opt;
opt.num_threads = 1;
opt.use_vulkan_compute = false;
opt.use_int8_inference = false;
opt.use_fp16_storage = true;
opt.use_fp16_arithmetic = true;
opt.use_packing_layout = false;
ncnn::Layer* op = ncnn::create_layer("Packing");
if (!op->support_fp16_storage)
{
delete op;
return 0;
}
op->load_param(pd);
ncnn::ModelBinFromMatArray mb(weights.data());
op->load_model(mb);
op->create_pipeline(opt);
ncnn::Mat a16;
ncnn::cast_float32_to_float16(a, a16, opt);
ncnn::Mat ap;
ncnn::convert_packing(a16, ap, in_elempack, opt);
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;
ncnn::Mat c32;
ncnn::cast_float16_to_float32(c, c32, opt);
if (CompareMat(b, c32, 0.001) != 0)
{
fprintf(stderr, "test_packing_cpu_fp16 failed a.dims=%d a=(%d %d %d %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.d, a.c, in_elempack, out_elempack);
return -1;
}
return 0;
}
static int test_packing_cpu_int8(const ncnn::Mat& a, int in_elempack, int out_elempack)
{
ncnn::ParamDict pd;
pd.set(0, out_elempack);
std::vector<ncnn::Mat> weights(0);
ncnn::Option opt;
opt.num_threads = 1;
opt.use_vulkan_compute = false;
opt.use_int8_inference = false;
opt.use_fp16_storage = false;
opt.use_fp16_arithmetic = 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 a8;
if (a.dims == 1) a8 = RandomS8Mat(a.w);
if (a.dims == 2) a8 = RandomS8Mat(a.w, a.h);
if (a.dims == 3) a8 = RandomS8Mat(a.w, a.h, a.c);
if (a.dims == 4) a8 = RandomS8Mat(a.w, a.h, a.d, a.c);
ncnn::Mat ap;
ncnn::convert_packing(a8, ap, in_elempack, opt);
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;
ncnn::Mat b32;
ncnn::cast_int8_to_float32(b, b32, opt);
ncnn::Mat c32;
ncnn::cast_int8_to_float32(c, c32, opt);
if (CompareMat(b32, c32, 0.001) != 0)
{
fprintf(stderr, "test_packing_cpu_int8 failed a.dims=%d a=(%d %d %d %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.d, a.c, in_elempack, out_elempack);
return -1;
}
return 0;
}
static int test_packing_cpu(const ncnn::Mat& a, int in_elempack, int out_elempack)
{
return 0
|| test_packing_cpu_fp32(a, in_elempack, out_elempack)
|| test_packing_cpu_fp16(a, in_elempack, out_elempack)
|| test_packing_cpu_int8(a, in_elempack, out_elempack);
}
#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<ncnn::Mat> 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, opt);
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 %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.d, 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<ncnn::Mat> 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();
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, opt);
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 %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.d, 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<ncnn::Mat> 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();
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, opt);
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 %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.d, 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<ncnn::Mat> 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();
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, opt);
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 %d) in_elempack=%d out_elempack=%d\n", a.dims, a.w, a.h, a.d, a.c, in_elempack, out_elempack);
return -1;
}
return 0;
}
#endif
static int test_packing_0()
{
ncnn::Mat a = RandomMat(9, 7, 10, 16);
ncnn::Mat b = RandomMat(9, 7, 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(a, 1, 16)
|| test_packing_cpu(a, 16, 1)
|| test_packing_cpu(a, 4, 16)
|| test_packing_cpu(a, 16, 4)
|| test_packing_cpu(a, 8, 16)
|| test_packing_cpu(a, 16, 8)
|| 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)
|| test_packing_cpu(b, 1, 16)
|| test_packing_cpu(b, 16, 1)
|| test_packing_cpu(b, 4, 16)
|| test_packing_cpu(b, 16, 4)
|| test_packing_cpu(b, 8, 16)
|| test_packing_cpu(b, 16, 8)
#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, 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(a, 1, 16)
|| test_packing_cpu(a, 16, 1)
|| test_packing_cpu(a, 4, 16)
|| test_packing_cpu(a, 16, 4)
|| test_packing_cpu(a, 8, 16)
|| test_packing_cpu(a, 16, 8)
|| 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)
|| test_packing_cpu(b, 1, 16)
|| test_packing_cpu(b, 16, 1)
|| test_packing_cpu(b, 4, 16)
|| test_packing_cpu(b, 16, 4)
|| test_packing_cpu(b, 8, 16)
|| test_packing_cpu(b, 16, 8)
#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(19, 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)
|| test_packing_cpu(a, 1, 16)
|| test_packing_cpu(a, 16, 1)
|| test_packing_cpu(a, 4, 16)
|| test_packing_cpu(a, 16, 4)
|| test_packing_cpu(a, 8, 16)
|| test_packing_cpu(a, 16, 8)
#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_3()
{
ncnn::Mat a = RandomMat(80);
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(a, 1, 16)
|| test_packing_cpu(a, 16, 1)
|| test_packing_cpu(a, 4, 16)
|| test_packing_cpu(a, 16, 4)
|| test_packing_cpu(a, 8, 16)
|| test_packing_cpu(a, 16, 8)
#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()
|| test_packing_3();
}
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