mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-23 09:08:56 +08:00
10b8ac68cc
* vulkan infrastructure * vkallocator and vkmat * layer interface for vulkan compute * wip... * default vulkan device, command wrapper, upload model weight in load_model to simplify layer interface * simplify command api, vkmat holds staging buffer, relu works * initialize specialization constant, simplify command dispatch, fix staging buffer copy with different shape, convolution works * init extension functions * dynamic local size and group count * group count=1 is invalid * regard device max workgroup size limit * fix relu oooops * decouple command record and staging allocation * create result blob * add pooling shader * buffer is faster than image :) * fix pooling shader * add innerproduct shader * readonly writeonly decoration * simplify buffer creation * decouple command and layer, VK_KHR_descriptor_update_template extension makes descriptor binding update easy :D * fix vulkan building issues in visual studio (#1) * fix building issues on visual studio * ignore benchmark * cancel changes * ... ... * decouple paramdict and vulkandevice * fix staging buffer destroy in model loading * remove vkdev member in option * add padding shader * simplify vulkan layer creation, simplify convolution and pooling shader for no padding, less debug output * add convolutiondepthwise and softmax shader * specialization float type, add leakyrelu * add dropout shader * add batchnorm shader * split vulkan forward * add scale shader * push constant type can be int or float * set_optimal_local_size_xyz * add eltwise shader * concat vulkan forward * fix convolution without bias * add dummy shader for concat and split, more fix ... * optional VK_KHR_descriptor_update_template and VK_KHR_push_descriptor * check VK_KHR_push_descriptor for vkCmdPushDescriptorSetWithTemplateKHR * binaryop and unaryop shader * hide raw command buffer * simple vkbenchncnn benchmark * create device with transfer queue * rename command to vkcompute, add vktransfer and layer upload_model interface * external VkMat, copy and map wrt buffer offset * command copy respect offset and size * decouple weight upload and load, simplify upload weight api, use one big staging buffer for uploading weights * fix build on android * binding count can not vary :( * barrier check state, fix sub-op destruction * declare local_size_xyz constant, fix crash on radv * fix local_size_xyz, second try * more barrier and state fix * fix softmax * reconstruct buffer memory allocator, reuse blob buffer, less verbose output * find unified memory type index * weight staging buffer allocator and weight buffer allocator, respect descriptor buffer offset alignment * use VK_KHR_descriptor_update_template for faster descriptor update if available, multithread pipeline creation * find more useful vulkan extensions and enable them * fix msvc build * respect VK_KHR_dedicated_allocation for weight buffer allocation * fix android build * fix bias name conflicts with metal * decouple pipeline and layer, building shader sources into shader module, dedicated create_pipeline api, simplify pipeline recording * drop dummy shader, inplace softmax, multiple shader module works * fix unique queue family index error * flatten support vulkan * mnasnet run * find shader module by name, each entry point per shader module, fix attribute/id conflict on moltenvk * some minor changes * add some high level api * use dedicated transfer queue to upload weight model * prefer mappable buffer on unified memory * global pooling and convolution fc, reuse staging buffer * implement ring-buffer style blob allocator, add VkBufferMemory capacity * use blob allocator for workspace blob, it works fine :) * vulkan option off * Update layer.cpp * fix build with vulkan off * less verbose output, fix crash on vulkan_compute off * merge benchncnn tool * allocator clear api, use new weight buffer allocator per net * add default locked allocator * mapped mat ptr api, persistent mapped memory works generally :) * travis ci linux vulkan * travis ci vulkan wip ... * more gpu wip ... * more gpu wip ... * wip... * wip... * wip... ... * wip... ios vulkan build... * find glslangValidator on ios build * use dynamic moltenvk library * travis ci wip ... * ios simulator does not support metal at all * fix cpu only extractor * optimize workgroup size, first try * optimize workgroup size, second try * conv1x1s1d1 vec4 * revert build system * fix ncnn2mem build * fix ncnn2mem build
251 lines
5.5 KiB
C++
251 lines
5.5 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
|
|
//
|
|
// Copyright (C) 2017 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.h"
|
|
|
|
#include <math.h>
|
|
#include <stdio.h>
|
|
#include <string.h>
|
|
#include <algorithm>
|
|
#include "cpu.h"
|
|
|
|
namespace ncnn {
|
|
|
|
Option::Option()
|
|
{
|
|
lightmode = true;
|
|
num_threads = get_cpu_count();
|
|
blob_allocator = 0;
|
|
workspace_allocator = 0;
|
|
|
|
#if NCNN_VULKAN
|
|
vulkan_compute = true;
|
|
blob_vkallocator = 0;
|
|
workspace_vkallocator = 0;
|
|
staging_vkallocator = 0;
|
|
#endif // NCNN_VULKAN
|
|
}
|
|
|
|
static Option g_default_option;
|
|
|
|
const Option& get_default_option()
|
|
{
|
|
return g_default_option;
|
|
}
|
|
|
|
int set_default_option(const Option& opt)
|
|
{
|
|
if (opt.num_threads <= 0)
|
|
{
|
|
fprintf(stderr, "invalid option num_threads %d\n", opt.num_threads);
|
|
return -1;
|
|
}
|
|
|
|
g_default_option = opt;
|
|
|
|
return 0;
|
|
}
|
|
|
|
Layer::Layer()
|
|
{
|
|
one_blob_only = false;
|
|
support_inplace = false;
|
|
support_vulkan = false;
|
|
|
|
#if NCNN_VULKAN
|
|
pipeline = 0;
|
|
#endif // NCNN_VULKAN
|
|
}
|
|
|
|
Layer::~Layer()
|
|
{
|
|
#if NCNN_VULKAN
|
|
delete pipeline;
|
|
#endif // NCNN_VULKAN
|
|
}
|
|
|
|
int Layer::load_param(const ParamDict& /*pd*/)
|
|
{
|
|
return 0;
|
|
}
|
|
|
|
int Layer::load_model(const ModelBin& /*mb*/)
|
|
{
|
|
return 0;
|
|
}
|
|
|
|
int Layer::forward(const std::vector<Mat>& bottom_blobs, std::vector<Mat>& top_blobs, const Option& opt) const
|
|
{
|
|
if (!support_inplace)
|
|
return -1;
|
|
|
|
top_blobs = bottom_blobs;
|
|
for (int i = 0; i < (int)top_blobs.size(); i++)
|
|
{
|
|
top_blobs[i] = bottom_blobs[i].clone(opt.blob_allocator);
|
|
if (top_blobs[i].empty())
|
|
return -100;
|
|
}
|
|
|
|
return forward_inplace(top_blobs, opt);
|
|
}
|
|
|
|
int Layer::forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const
|
|
{
|
|
if (!support_inplace)
|
|
return -1;
|
|
|
|
top_blob = bottom_blob.clone(opt.blob_allocator);
|
|
if (top_blob.empty())
|
|
return -100;
|
|
|
|
return forward_inplace(top_blob, opt);
|
|
}
|
|
|
|
int Layer::forward_inplace(std::vector<Mat>& /*bottom_top_blobs*/, const Option& /*opt*/) const
|
|
{
|
|
return -1;
|
|
}
|
|
|
|
int Layer::forward_inplace(Mat& /*bottom_top_blob*/, const Option& /*opt*/) const
|
|
{
|
|
return -1;
|
|
}
|
|
|
|
#if NCNN_VULKAN
|
|
int Layer::upload_model(VkTransfer& /*cmd*/)
|
|
{
|
|
return 0;
|
|
}
|
|
|
|
int Layer::create_pipeline()
|
|
{
|
|
return 0;
|
|
}
|
|
|
|
int Layer::forward(const std::vector<VkMat>& bottom_blobs, std::vector<VkMat>& top_blobs, VkCompute& cmd, const Option& opt) const
|
|
{
|
|
if (!support_inplace)
|
|
return -1;
|
|
|
|
top_blobs.resize(bottom_blobs.size());
|
|
for (int i = 0; i < (int)top_blobs.size(); i++)
|
|
{
|
|
top_blobs[i].create_like(bottom_blobs[i], bottom_blobs[i].allocator, bottom_blobs[i].staging_allocator);
|
|
if (top_blobs[i].empty())
|
|
return -100;
|
|
|
|
cmd.record_prepare_transfer_barrier(bottom_blobs[i]);
|
|
cmd.record_clone(bottom_blobs[i], top_blobs[i]);
|
|
}
|
|
|
|
return forward_inplace(top_blobs, cmd, opt);
|
|
}
|
|
|
|
int Layer::forward(const VkMat& bottom_blob, VkMat& top_blob, VkCompute& cmd, const Option& opt) const
|
|
{
|
|
if (!support_inplace)
|
|
return -1;
|
|
|
|
top_blob.create_like(bottom_blob, bottom_blob.allocator, bottom_blob.staging_allocator);
|
|
if (top_blob.empty())
|
|
return -100;
|
|
|
|
cmd.record_prepare_transfer_barrier(bottom_blob);
|
|
cmd.record_clone(bottom_blob, top_blob);
|
|
|
|
return forward_inplace(top_blob, cmd, opt);
|
|
}
|
|
|
|
int Layer::forward_inplace(std::vector<VkMat>& /*bottom_top_blobs*/, VkCompute& /*cmd*/, const Option& /*opt*/) const
|
|
{
|
|
return -1;
|
|
}
|
|
|
|
int Layer::forward_inplace(VkMat& /*bottom_top_blob*/, VkCompute& /*cmd*/, const Option& /*opt*/) const
|
|
{
|
|
return -1;
|
|
}
|
|
#endif // NCNN_VULKAN
|
|
|
|
#include "layer_declaration.h"
|
|
|
|
static const layer_registry_entry layer_registry[] =
|
|
{
|
|
#include "layer_registry.h"
|
|
};
|
|
|
|
static const int layer_registry_entry_count = sizeof(layer_registry) / sizeof(layer_registry_entry);
|
|
|
|
#if NCNN_STRING
|
|
int layer_to_index(const char* type)
|
|
{
|
|
for (int i=0; i<layer_registry_entry_count; i++)
|
|
{
|
|
if (strcmp(type, layer_registry[i].name) == 0)
|
|
return i;
|
|
}
|
|
|
|
return -1;
|
|
}
|
|
|
|
Layer* create_layer(const char* type)
|
|
{
|
|
int index = layer_to_index(type);
|
|
if (index == -1)
|
|
return 0;
|
|
|
|
return create_layer(index);
|
|
}
|
|
#endif // NCNN_STRING
|
|
|
|
Layer* create_layer(int index)
|
|
{
|
|
if (index < 0 || index >= layer_registry_entry_count)
|
|
return 0;
|
|
|
|
layer_creator_func layer_creator = layer_registry[index].creator;
|
|
if (!layer_creator)
|
|
return 0;
|
|
|
|
return layer_creator();
|
|
}
|
|
|
|
#if NCNN_VULKAN
|
|
#if NCNN_STRING
|
|
Layer* create_layer(const char* type, const VulkanDevice* vkdev)
|
|
{
|
|
int index = layer_to_index(type);
|
|
if (index == -1)
|
|
return 0;
|
|
|
|
return create_layer(index, vkdev);
|
|
}
|
|
#endif // NCNN_STRING
|
|
|
|
Layer* create_layer(int index, const VulkanDevice* vkdev)
|
|
{
|
|
Layer* layer = create_layer(index);
|
|
if (!layer)
|
|
return 0;
|
|
|
|
layer->vkdev = vkdev;
|
|
layer->pipeline = new Pipeline(vkdev);
|
|
|
|
return layer;
|
|
}
|
|
#endif // NCNN_VULKAN
|
|
|
|
} // namespace ncnn
|