更换镜像源

http://www.xiaochenboss.cn/article_detail/1587183252459 

  1. channels:
  2. - https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
  3. - defaults
  4. show_channel_urls: true
  5. channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda
  6. default_channels:
  7. - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  8. - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
  9. - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  10. - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
  11. - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
  12. custom_channels:
  13. conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  14. msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  15. bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  16. menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  17. pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  18. simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

安装第三方模块镜像加速指令

  1. pip install tensorflow==1.15.0 -i https://pypi.douban.com/simple
  3. pip install numpy -i https://mirrors.aliyun.com/pypi/simple/

安装第三方模块指令

  1. pip install pandas

卸载第三方模块指令

  1. pip uninstall pandas

查看变量的地址 id()

  1. a = {1: 'one', 2: 'two', 3: 'three', 4: 'four'}
  2. b = a         # 表示赋值
  3. c = a.copy()  # 表示拷贝
  5. print('a的地址:', id(a))
  6. print('b的地址:', id(b))
  7. print('c的地址:', id(c))
  9. # 打印
  10.     a的地址: 6317872
  11.     b的地址: 6317872
  12.     c的地址: 6317952

查看内置方法函数 dir()

需要在py 的idea 才能查询到

  1.  dir(dict)
  3. ['__class__', '__contains__', '__delattr__', '__delitem__', '__dir__', '__doc__', '__eq__', '__format__',
  4.  '__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__init__', '__init_subclass__', 
  5.  '__iter__', '__le__', '__len__', '__lt__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', 
  6.  '__repr__', '__reversed__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', 
  7.  'clear', 'copy', 'fromkeys', 'get', 'items', 'keys', 'pop', 'popitem', 'setdefault', 'update', 'values']

查看类名的属性 dict

  1. class CC:
  2.     def setXY(self,x,y):
  3.         self.x = x
  4.         self.y = y
  6.     def printXY(self):
  7.         print(self.x,self.y)
  9. dd =CC()
  11. dd.setXY(12,15)
  13. print(dd.__dict__)
  14. print(CC.__dict__)
  15. -------------------------
  16. {'x': 12, 'y': 15}
  17. {'__module__': '__main__', 'setXY': <function CC.setXY at 0x00A58658>, 'printXY': <function CC.printXY at 0x00A58610>, '__dict__': <attribute '__dict__' of 'CC' objects>, '__weakref__': <attribute '__weakref__' of 'CC' objects>, '__doc__': None}

查看内置方法使用文档 help()

需要在py 的idea 才能查询到

  1. help(dict)
  4. class dict(object)
  5.  |  dict() -> new empty dictionary
  6.  |  dict(mapping) -> new dictionary initialized from a mapping object's
  7.  |      (key, value) pairs
  8.  |  dict(iterable) -> new dictionary initialized as if via:
  9.  |      d = {}
  10.  |      for k, v in iterable:
  11.  |          d[k] = v
  12.  |  dict(**kwargs) -> new dictionary initialized with the name=value pairs
  13.  |      in the keyword argument list.  For example:  dict(one=1, two=2)
  14.  |  
  15.  |  Methods defined here:
  16.  |  
  17.  |  __contains__(self, key, /)
  18.  |      True if the dictionary has the specified key, else False.
  19.  |  
  20.  |  __delitem__(self, key, /)
  21.  |      Delete self[key].
  22.  |  
  23.  |  __eq__(self, value, /)
  24.  |      Return self==value.
  25.  |  
  26.  |  __ge__(self, value, /)
  27.  |      Return self>=value.
  28.  |  
  29.  |  __getattribute__(self, name, /)
  30.  |      Return getattr(self, name).
  31.  |  
  32.  |  __getitem__(...)
  33.  |      x.__getitem__(y) <==> x[y]
  34.  |  
  35.  |  __gt__(self, value, /)
  36.  |      Return self>value.
  37.  |  
  38.  |  __init__(self, /, *args, **kwargs)
  39.  |      Initialize self.  See help(type(self)) for accurate signature.
  40.  |  
  41.  |  __iter__(self, /)
  42.  |      Implement iter(self).
  43.  |  
  44.  |  __le__(self, value, /)
  45.  |      Return self<=value.
  46.  |  
  47.  |  __len__(self, /)
  48.  |      Return len(self).
  49.  |  
  50.  |  __lt__(self, value, /)
  51.  |      Return self<value.
  52.  |  
  53.  |  __ne__(self, value, /)
  54.  |      Return self!=value.
  55.  |  
  56.  |  __repr__(self, /)
  57.  |      Return repr(self).
  58.  |  
  59.  |  __reversed__(self, /)
  60.  |      Return a reverse iterator over the dict keys.
  61.  |  
  62.  |  __setitem__(self, key, value, /)
  63.  |      Set self[key] to value.
  64.  |  
  65.  |  __sizeof__(...)
  66.  |      D.__sizeof__() -> size of D in memory, in bytes
  67.  |  
  68.  |  clear(...)
  69.  |      D.clear() -> None.  Remove all items from D.
  70.  |  
  71.  |  copy(...)
  72.  |      D.copy() -> a shallow copy of D
  73.  |  
  74.  |  get(self, key, default=None, /)
  75.  |      Return the value for key if key is in the dictionary, else default.
  76.  |  
  77.  |  items(...)
  78.  |      D.items() -> a set-like object providing a view on D's items
  79.  |  
  80.  |  keys(...)
  81.  |      D.keys() -> a set-like object providing a view on D's keys
  82.  |  
  83.  |  pop(...)
  84.  |      D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
  85.  |      If key is not found, d is returned if given, otherwise KeyError is raised
  86.  |  
  87.  |  popitem(self, /)
  88.  |      Remove and return a (key, value) pair as a 2-tuple.
  89.  |      
  90.  |      Pairs are returned in LIFO (last-in, first-out) order.
  91.  |      Raises KeyError if the dict is empty.
  92.  |  
  93.  |  setdefault(self, key, default=None, /)
  94.  |      Insert key with a value of default if key is not in the dictionary.
  95.  |      
  96.  |      Return the value for key if key is in the dictionary, else default.
  97.  |  
  98.  |  update(...)
  99.  |      D.update([E, ]**F) -> None.  Update D from dict/iterable E and F.
  100.  |      If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k]
  101.  |      If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v
  102.  |      In either case, this is followed by: for k in F:  D[k] = F[k]
  103.  |  
  104.  |  values(...)
  105.  |      D.values() -> an object providing a view on D's values
  106.  |  
  107.  |  ----------------------------------------------------------------------
  108.  |  Class methods defined here:
  109.  |  
  110.  |  fromkeys(iterable, value=None, /) from builtins.type
  111.  |      Create a new dictionary with keys from iterable and values set to value.
  112.  |  
  113.  |  ----------------------------------------------------------------------
  114.  |  Static methods defined here:
  115.  |  
  116.  |  __new__(*args, **kwargs) from builtins.type
  117.  |      Create and return a new object.  See help(type) for accurate signature.
  118.  |  
  119.  |  ----------------------------------------------------------------------
  120.  |  Data and other attributes defined here:
  121.  |  
  122.  |  __hash__ = None

导出环境依耐包

  1. pip freeze > requirements.txt

通过依赖包安装环境

  1. pip install -r requirements.txt
  3. pip install -r requirements.txt -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com

后台启动脚本

把脚本文件后缀 改为**.pyw** 即可
没有界面的直接在 任务管理器 直接停止

  1. 鼠标双击 main.pyw 文件即可

如何查看是否安装了cudA和GPU

安装的cuda和gpu 要添加系统环境变量 在path
%CUDA_LIB_PATH%;%CUDA_BIN_PATH%;%CUDA_SDK_LIB_PATH%;%CUDA_SDK_BIN_PATH%;
D:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin
D:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin

  1. cd ‘.\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\extras\demo_suite\

cmd 进入到这文件夹下 输入 .\bandwidthTest.exe
打印出信息 来 看最后一行 显示 Result = PASS 表示配置成功

  1. cd ‘.\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\extras\demo_suite\

cmd 进入到这文件夹下 输入 .\deviceQuery.exe
打印出信息 来 看最后一行 显示 Result = PASS 表示配置成功

image.png

  1.  ERROR   chentao@null  D:\  cd '.\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\extras\demo_suite\'
  2.    chentao@null  D:  Program Files  NVIDIA GPU Computing Toolkit  CUDA  v11.6  extras  demo_suite  .\bandwidthTest.exe
  3. [CUDA Bandwidth Test] - Starting...
  4. Running on...
  6.  Device 0: NVIDIA GeForce GTX 1050
  7.  Quick Mode
  9.  Host to Device Bandwidth, 1 Device(s)
  10.  PINNED Memory Transfers
  11.    Transfer Size (Bytes)        Bandwidth(MB/s)
  12.    33554432                     12520.5
  14.  Device to Host Bandwidth, 1 Device(s)
  15.  PINNED Memory Transfers
  16.    Transfer Size (Bytes)        Bandwidth(MB/s)
  17.    33554432                     12764.8
  19.  Device to Device Bandwidth, 1 Device(s)
  20.  PINNED Memory Transfers
  21.    Transfer Size (Bytes)        Bandwidth(MB/s)
  22.    33554432                     71500.4
  24. Result = PASS
  1.  chentao@null  D:  Program Files  NVIDIA GPU Computing Toolkit  CUDA  v11.6  extras  demo_suite  .\deviceQuery.exe
  2. D:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\extras\demo_suite\deviceQuery.exe Starting...
  4.  CUDA Device Query (Runtime API) version (CUDART static linking)
  6. Detected 1 CUDA Capable device(s)
  8. Device 0: "NVIDIA GeForce GTX 1050"
  9.   CUDA Driver Version / Runtime Version          11.6 / 11.6
  10.   CUDA Capability Major/Minor version number:    6.1
  11.   Total amount of global memory:                 3072 MBytes (3221028864 bytes)
  12.   ( 6) Multiprocessors, (128) CUDA Cores/MP:     768 CUDA Cores
  13.   GPU Max Clock rate:                            1442 MHz (1.44 GHz)
  14.   Memory Clock rate:                             3504 Mhz
  15.   Memory Bus Width:                              96-bit
  16.   L2 Cache Size:                                 786432 bytes
  17.   Maximum Texture Dimension Size (x,y,z)         1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
  18.   Maximum Layered 1D Texture Size, (num) layers  1D=(32768), 2048 layers
  19.   Maximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layers
  20.   Total amount of constant memory:               zu bytes
  21.   Total amount of shared memory per block:       zu bytes
  22.   Total number of registers available per block: 65536
  23.   Warp size:                                     32
  24.   Maximum number of threads per multiprocessor:  2048
  25.   Maximum number of threads per block:           1024
  26.   Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  27.   Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  28.   Maximum memory pitch:                          zu bytes
  29.   Texture alignment:                             zu bytes
  30.   Concurrent copy and kernel execution:          Yes with 5 copy engine(s)
  31.   Run time limit on kernels:                     Yes
  32.   Integrated GPU sharing Host Memory:            No
  33.   Support host page-locked memory mapping:       Yes
  34.   Alignment requirement for Surfaces:            Yes
  35.   Device has ECC support:                        Disabled
  36.   CUDA Device Driver Mode (TCC or WDDM):         WDDM (Windows Display Driver Model)
  37.   Device supports Unified Addressing (UVA):      Yes
  38.   Device supports Compute Preemption:            Yes
  39.   Supports Cooperative Kernel Launch:            Yes
  40.   Supports MultiDevice Co-op Kernel Launch:      No
  41.   Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0
  42.   Compute Mode:
  43.      < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
  45. deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.6, CUDA Runtime Version = 11.6, NumDevs = 1, Device0 = NVIDIA GeForce GTX 1050
  46. Result = PASS

vscode VS pycharm

pycharm 编辑器

配置简单, 无需关心环境 , 软件自带 项目环境管理 , 一键创建配置好项目

image.png

vscode 编辑器