(base) C:\Users\summer>conda create -n pytorch python=3.11
WARNING: A conda environment already exists at 'D:\software\Anaconda\envs\pytorch'

Remove existing environment?
This will remove ALL directories contained within this specified prefix directory, including any other conda environments.

 (y/[n])? y

Channels:
 - defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: D:\software\Anaconda\envs\pytorch

  added / updated specs:
    - python=3.11


The following NEW packages will be INSTALLED:

  bzip2              pkgs/main/win-64::bzip2-1.0.8-h2bbff1b_6
  ca-certificates    pkgs/main/win-64::ca-certificates-2025.2.25-haa95532_0
  libffi             pkgs/main/win-64::libffi-3.4.4-hd77b12b_1
  openssl            pkgs/main/win-64::openssl-3.0.16-h3f729d1_0
  pip                pkgs/main/win-64::pip-25.0-py311haa95532_0
  python             pkgs/main/win-64::python-3.11.11-h4607a30_0
  setuptools         pkgs/main/win-64::setuptools-75.8.0-py311haa95532_0
  sqlite             pkgs/main/win-64::sqlite-3.45.3-h2bbff1b_0
  tk                 pkgs/main/win-64::tk-8.6.14-h0416ee5_0
  tzdata             pkgs/main/noarch::tzdata-2025a-h04d1e81_0
  vc                 pkgs/main/win-64::vc-14.42-haa95532_4
  vs2015_runtime     pkgs/main/win-64::vs2015_runtime-14.42.34433-he0abc0d_4
  wheel              pkgs/main/win-64::wheel-0.45.1-py311haa95532_0
  xz                 pkgs/main/win-64::xz-5.6.4-h4754444_1
  zlib               pkgs/main/win-64::zlib-1.2.13-h8cc25b3_1


Proceed ([y]/n)? y


Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate pytorch
#
# To deactivate an active environment, use
#
#     $ conda deactivate


(base) C:\Users\summer>conda activate pytorch

(pytorch) C:\Users\summer>pip3 install torch torchvision torchaudio
Collecting torch
...

(pytorch) C:\Users\summer>python
Python 3.11.11 | packaged by Anaconda, Inc. | (main, Dec 11 2024, 16:34:19) [MSC v.1929 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.cuda.is_available()
False
>>> exit()

(pytorch) C:\Users\summer>conda install nb_conda
Channels:
 - defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: / warning  libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE
failed

LibMambaUnsatisfiableError: Encountered problems while solving:
  - package nb_conda-2.2.1-py27_0 requires python >=2.7,<2.8.0a0, but none of the providers can be installed

Could not solve for environment specs
The following packages are incompatible
├─ nb_conda is installable with the potential options
│  ├─ nb_conda 2.2.1 would require
│  │  └─ python >=2.7,<2.8.0a0 , which can be installed;
│  ├─ nb_conda 2.2.1 would require
│  │  └─ python >=3.5,<3.6.0a0 , which can be installed;
│  ├─ nb_conda 2.2.1 would require
│  │  └─ python >=3.6,<3.7.0a0 , which can be installed;
│  ├─ nb_conda 2.2.1 would require
│  │  └─ python >=3.7,<3.8.0a0 , which can be installed;
│  └─ nb_conda 2.2.1 would require
│     └─ python >=3.8,<3.9.0a0 , which can be installed;
└─ pin-1 is not installable because it requires
   └─ python 3.11.* , which conflicts with any installable versions previously reported.

(pytorch) C:\Users\summer>

(base) C:\Users\summer>conda activate pytorch
(pytorch) C:\Users\summer>jupyter notebook

(pytorch) C:\Users\summer>pip install jupyter_server
(pytorch) C:\Users\summer>conda install nb_conda_kernels
(pytorch) C:\Users\summer>conda install -c conda-forge nb_conda_kernels
(pytorch) C:\Users\summer>jupyter notebook

dir(torch.cuda.is_available)

['__annotations__', '__builtins__', '__call__', '__class__', '__closure__', '__code__', '__defaults__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__get__', '__getattribute__', '__getstate__', '__globals__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__kwdefaults__', '__le__', '__lt__', '__module__', '__name__', '__ne__', '__new__', '__qualname__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__']

help(torch.cuda.is_available)

Help on function is_available in module torch.cuda:
is_available() -> bool
    Return a bool indicating if CUDA is currently available.