我正在观看一个关于如何在Tensorflow中进行音频分类的youtube视频。在视频中，我被要求下载这些依赖项
pip install tensorflow tensorflow-gpu tensorflow-io matplotlib
作为良好的实践，我创建了一个venv，并让我的Jupyter笔记本使用它。我注意到，虽然它试图下载tensorflow-gpu的每个版本，可以得到相当大的
(venv) c:usersmyusermyproject>pip install tensorflow tensorflow-gpu tensorflow-io matplotlib
Collecting tensorflow
Downloading tensorflow-2.11.0-cp39-cp39-win_amd64.whl (1.9 kB)
Collecting tensorflow-gpu
Downloading tensorflow_gpu-2.10.1-cp39-cp39-win_amd64.whl (455.9 MB)
|████████████████████████████████| 455.9 MB 106 kB/s
Collecting tensorflow-io
Downloading tensorflow_io-0.28.0-cp39-cp39-win_amd64.whl (22.9 MB)
|████████████████████████████████| 22.9 MB 6.4 MB/s
Collecting matplotlib
Downloading matplotlib-3.6.2-cp39-cp39-win_amd64.whl (7.2 MB)
|████████████████████████████████| 7.2 MB 2.2 MB/s
Collecting tensorflow-intel==2.11.0
Downloading tensorflow_intel-2.11.0-cp39-cp39-win_amd64.whl (266.3 MB)
|████████████████████████████████| 266.3 MB 3.3 MB/s
Requirement already satisfied: setuptools in c:usersmyusermyprojectvenvlibsite-packages (from tensorflow-intel==2.11.0->tensorflow) (57.4.0)
Collecting packaging
Downloading packaging-22.0-py3-none-any.whl (42 kB)
|████████████████████████████████| 42 kB 3.2 MB/s
Collecting protobuf<3.20,>=3.9.2
Using cached protobuf-3.19.6-cp39-cp39-win_amd64.whl (895 kB)
Collecting wrapt>=1.11.0
Using cached wrapt-1.14.1-cp39-cp39-win_amd64.whl (35 kB)
Collecting termcolor>=1.1.0
Downloading termcolor-2.1.1-py3-none-any.whl (6.2 kB)
Collecting flatbuffers>=2.0
Downloading flatbuffers-22.12.6-py2.py3-none-any.whl (26 kB)
Collecting gast<=0.4.0,>=0.2.1
Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)
Collecting absl-py>=1.0.0
Using cached absl_py-1.3.0-py3-none-any.whl (124 kB)
Collecting tensorflow-io-gcs-filesystem>=0.23.1
Downloading tensorflow_io_gcs_filesystem-0.28.0-cp39-cp39-win_amd64.whl (1.5 MB)
|████████████████████████████████| 1.5 MB 3.3 MB/s
Collecting google-pasta>=0.1.1
Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)
|████████████████████████████████| 57 kB ...
Collecting typing-extensions>=3.6.6
Using cached typing_extensions-4.4.0-py3-none-any.whl (26 kB)
Collecting tensorboard<2.12,>=2.11
Downloading tensorboard-2.11.0-py3-none-any.whl (6.0 MB)
|████████████████████████████████| 6.0 MB 3.3 MB/s
Collecting astunparse>=1.6.0
Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting keras<2.12,>=2.11.0
Downloading keras-2.11.0-py2.py3-none-any.whl (1.7 MB)
|████████████████████████████████| 1.7 MB 3.2 MB/s
Collecting libclang>=13.0.0
Downloading libclang-14.0.6-py2.py3-none-win_amd64.whl (14.2 MB)
|████████████████████████████████| 14.2 MB 3.3 MB/s
Collecting opt-einsum>=2.3.2
Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)
|████████████████████████████████| 65 kB 1.8 MB/s
Collecting h5py>=2.9.0
Downloading h5py-3.7.0-cp39-cp39-win_amd64.whl (2.6 MB)
|████████████████████████████████| 2.6 MB 6.8 MB/s
Collecting tensorflow-estimator<2.12,>=2.11.0
Downloading tensorflow_estimator-2.11.0-py2.py3-none-any.whl (439 kB)
|████████████████████████████████| 439 kB 3.3 MB/s
Collecting six>=1.12.0
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting grpcio<2.0,>=1.24.3
Downloading grpcio-1.51.1-cp39-cp39-win_amd64.whl (3.7 MB)
|████████████████████████████████| 3.7 MB 6.8 MB/s
Collecting numpy>=1.20
Downloading numpy-1.23.5-cp39-cp39-win_amd64.whl (14.7 MB)
|████████████████████████████████| 14.7 MB 3.3 MB/s
Collecting tensorflow-gpu
Downloading tensorflow_gpu-2.10.0-cp39-cp39-win_amd64.whl (455.9 MB)
|████████████████████████████████| 455.9 MB 3.2 MB/s
Downloading tensorflow_gpu-2.9.3-cp39-cp39-win_amd64.whl (444.1 MB)
|████████████████████████████████| 444.1 MB 60 kB/s
Downloading tensorflow_gpu-2.9.2-cp39-cp39-win_amd64.whl (444.1 MB)
|████████████████████████████████| 444.1 MB 10 kB/s
Downloading tensorflow_gpu-2.9.1-cp39-cp39-win_amd64.whl (444.0 MB)
|████████████████████████████████| 444.0 MB 12 kB/s
Downloading tensorflow_gpu-2.9.0-cp39-cp39-win_amd64.whl (444.0 MB)
|████████████████████████████████| 444.0 MB 3.3 MB/s
Downloading tensorflow_gpu-2.8.4-cp39-cp39-win_amd64.whl (438.4 MB)
|████████████████████████████████| 438.4 MB 84 kB/s
Collecting keras-preprocessing>=1.1.1
Downloading Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
|████████████████████████████████| 42 kB 3.2 MB/s
Collecting tensorflow-gpu
Downloading tensorflow_gpu-2.8.3-cp39-cp39-win_amd64.whl (438.4 MB)
|████████████████████████████████| 438.4 MB 4.5 kB/s
Downloading tensorflow_gpu-2.8.2-cp39-cp39-win_amd64.whl (438.3 MB)
|████████████████████████████████| 438.3 MB 17 kB/s
Downloading tensorflow_gpu-2.8.1-cp39-cp39-win_amd64.whl (438.3 MB)
|████████████████████████████████| 438.3 MB 6.4 MB/s
Downloading tensorflow_gpu-2.8.0-cp39-cp39-win_amd64.whl (438.0 MB)
ERROR: Operation cancelled by user
WARNING: You are using pip version 21.2.3; however, version 22.3.1 is available.
为什么它需要下载每个单独的Tensorflow GPU版本?
确实是@Dr。Snoopy在他的评论中提到，你不需要同时安装tensorflow(用于CPU)或tensorflow- GPU(用于GPU)两种模式。你可以像下面这样安装它们:
!pip install tensorflow-io tensorflow-gpu==2.10 matplotlib #Tensorflow 2.11 is not supported for native-Windows
或
!pip install tensorflow-io tensorflow matplotlib