luolinll1212的专栏

yolov7+nms+tensorrt+动态

pytorch 量化

1.网络结构2.具体层2.1 focus层

一维信号心电图数据增强

多卡训练CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node=4 tools/train.py --launcher pytorch

1.介绍商汤2.安装pip install mmcv-full mmdet mmocr mmsegmentation mmcv3.demo项目， 数据集CHASE DB1# 1.拉项目git clone https://github.com/open-mmlab/mmsegmentation.gitcd mmsegmentationmkdir datawget https://staffnet.kingston.ac.uk/~ku15565/CHASE_DB1/assets/CHASED

运算 函数 大于 torch.gt 小于 torch.lt 等于 torch.eq...

代码#include <torch/script.h>#include <ATen/ATen.h>#include <torch/nn/module.h>#include <torch/nn/modules/batchnorm.h&am

代码#include <torch/script.h>#include <ATen/ATen.h>#include <torch/nn/module.h>#include <torch/nn/modules/batchnorm.h>#include &

代码#include <torch/script.h>#include <ATen/ATen.h>#include <torch/nn/module.h>#include <torch/nn/modules/batchnorm.h>#include <torch/nn/modules/conv.h>#include <...

代码

0，nunpy切片>>> import numpy as np>>> a = np.arange(24).reshape(2,3,4)>>

代码import numpy as npimport torcha = np.arange(24).reshape(2,3,4)b = a[:,-1,:]print(b.shape)x = torch.from_numpy(a)y = x[:,-1,:].unsqueeze(1)print(y.size())z = y.expand(2,4,4)print(z.size()...

1，下载代码git clone -b pytorch_bindings https://github.com/SeanNaren/warp-ctc.git2，编译cd warp-ctcmkdir buildcd buildcmake ..make3，设置环境变量vi ~/.bashrcexport WARP_CTC_PATH=/home/rose/software/warp...

1，数学理论BCELoss=−[Yn∗logXn+(1−Yn)∗log(1−Xn)]BCELoss = - [ Y_{n} * logX_{n} + (1 - Y_{n}) * log(1-X_{n}) ]BCELoss=−[Yn​∗logXn​+(1−Yn​)∗log(1−Xn​)]注意，XnX_{n}Xn​概率不能为1。若越界，则出错，inf2，代码测试x = torch.FloatT...

代码#include <torch/script.h>#include <ATen/ATen.h>#include <torch/nn/module.h>#include <torch/nn/modules/functional.h>#include <torch/nn/modules/linear.h>#include &...

代码#include <torch/script.h>#include <ATen/ATen.h>#include &a

torchvision.transforms可以对数据进行以下处理：PIL.Image/numpy.ndarray与Tensor的相互转化； 归一化； 对PIL.Image进行裁剪、缩放等操作。代码如下：transform1 = transforms.Compose([ transforms.ToTensor() ...

0，阅读Pytorch C++官网文档，在虚拟机上安装Ubuntu16.04的Linux操作系统搭建环境，并使用makefile进行编译，代码简洁易读。sudo apt-get update sudo apt-get install vim make cmake gcc g++ libnss3 tree git openssh-server openssh-client1，下载p...

二分类或分类问题，网络输出为二维矩阵：批次x几分类，最大的为当前分类，标签为one-hot型的二维矩阵：批次x几分类计算百分比有numpy和pytorch两种实现方案实现，都是根据索引计算百分比，以下为具体二分类实现过程。pytorchout = torch.Tensor([[0,3], [2,3], [...

torch.rand(*sizes, out=None) → Tensor返回一个张量，包含了从区间[0,1)的均匀分布中抽取的一组随机数，形状由可变参数sizes 定义torch.randn(*sizes, out=None) → Tensor返回一个张量，包含了从标准正态分布(均值为0，方差为 1，即高斯白噪声)中抽取一组随机数，形状由可变参数sizes定义torch.normal()...

pytorch c++ 环境搭建，点击#include <torch/script.h>#include <ATen/ATen.h>#include <iostream>#include &am

pytorch 单机多卡训练

pytorch c++ 环境搭建，点击#include <torch/script.h>#include <ATen/ATen.h>// #include <torch/csrc/autograd/variable.h>// #include &am

1，介绍onnx-tensorrt是一个模型推理框架。2，安装sudo apt-get install libprotobuf-dev protobuf-compilersudo apt-get install swiggit clone https://github.com/onnx/onnx-tensorrt.gitgit submodule syncgit submodule update --init --recursive cd onnx-tensorrtmkdir build

import torchimport torch.nn as nnimport torchvision.datasets as dsetsimport torchvision.transforms as transformsimport matplotlib.pyplot as plt# 超参数设置EPOCH = 1 # 训练批次BATCH_SIZE = 64 # ...

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1,安装所需要的cuda和cudnn环境, 版本10.0地址2,编译安装caffe22.1安装系统依赖,根据官网sudo apt-get updatesudo apt-get install -y --no-install-recommends \ build-essential \ cmake \ git \ libgoogle-glog...

tensorrt

if loss > 100 or np.isnan(loss): # 如果损失(out与标签计算) > 100 或者 loss为nan，出现异常，退出。防止方式意外 log('Loss exploded to {:.5f} at step {}'.format(loss, step)) raise Exception('Loss exploded')...

梯度计算import torchfrom torch.autograd import Variablex = Variable(torch.ones(2), requires_grad=True)# y = (4 * x * x).norm()y = (4 * x * x + 10 * x).mean()y.backward()print('x的值：',x)print('x的梯度...

1，常用的激活函数2，Mish激活函数# -*- coding: utf-8 -*-import torchimport torch.nn as nnimport torch.nn.functional as Ffrom matplotlib import pyplot as pltclass Mish(nn.Module): def __init__(self): ...

1，文件配置rose@rose-machine:~/pytorch_c++/test$ tree.├── config.yml # 微调配置文件├── mnist.py # 启动文件└── search_space.json # 参数配置文件2，启动与停止nnictl create --config c...

1，软件安装1.1 安装cmake地址，cmake版本：3.16.0。双击运行即可1.2 安装VS2019地址，专业版 -> C++桌面开发(cmake,clang…)2，pytorch c++ windows编译包下载地址，系统环境：win10，GPU版本：10.0，pytorch c++版本：1.2.0。可以修改GPU版本和pytorch c++下载对应的编译包3，VS20...

1,bert1.0 安装pip install pytorch-pretrained-bert2,albert2.0 安装pip install albert_pytorch

import torchimport numpy as npfrom tensorboardX import SummaryWriterwriter = SummaryWriter(log_dir="runs") # 保存文件夹for epoch in range(100): writer.add_scalar("text", torch.Tensor([epoch]), e...

#include <torch/script.h> // One-stop header.#include <iostream>#include <memory>int main(int argc, const char* argv[]) { if (argc != 2) { std::cerr << "usage: example-app <path-to-exported-script-module>\n"; re

# *_*coding:utf-8 *_*import torchimport torch.nn as nnimport torch.nn.functional as Ffrom torch.autograd import Function, Variableimport jsonclass HSwishImplementation(Function): @staticmethod # onnx导出参数定义 def symbolic(g, input, bias):

1，安装sudo apt-get install libprotobuf* protobuf-compiler ninja-buildgit clone https://github.com/NVIDIA-AI-IOT/torch2trtcd torch2trtpython setup.py install --plugins # 本地的虚拟环境报错，#NvInfer.h，找不到def trt_inc_dir(): return "../targets/x86_64-linux-gnu