venv（虚拟环境）中 运行 tensorflow 时的问题
Problem when running tensorflow in venv (virtual enviromnemt)
(env - Windows10，使用 NVIDIA gpu，Powershell)
我想在虚拟环境中运行下面的示例代码
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
model = Sequential()
model.add(Dense(100, activation='relu',
input_shape=(32,32,1)))
model.add(Dense(50, activation='relu'))
model.add(Dense(5, activation='softmax'))
model.summary()
代码执行时出现注册GPU失败的错误，但没有使用GPU却执行成功
(venv) PS E:\lolol> & e:/lolol/venv/Scripts/python.exe e:/lolol/testcode2.py
2021-12-01 03:35:40.545756: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2021-12-01 03:35:40.546020: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2021-12-01 03:35:45.107760: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2021-12-01 03:35:45.108720: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cublas64_11.dll'; dlerror: cublas64_11.dll not found
2021-12-01 03:35:45.109629: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cublasLt64_11.dll'; dlerror: cublasLt64_11.dll not found
2021-12-01 03:35:45.110607: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cufft64_10.dll'; dlerror: cufft64_10.dll not found
2021-12-01 03:35:45.111655: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'curand64_10.dll'; dlerror: curand64_10.dll not found
2021-12-01 03:35:45.112802: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusolver64_11.dll'; dlerror: cusolver64_11.dll not found
2021-12-01 03:35:45.113631: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusparse64_11.dll'; dlerror: cusparse64_11.dll not found
2021-12-01 03:35:45.114479: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudnn64_8.dll'; dlerror: cudnn64_8.dll not found
2021-12-01 03:35:45.114979: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2021-12-01 03:35:45.116383: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 32, 32, 100) 200
dense_1 (Dense) (None, 32, 32, 50) 5050
dense_2 (Dense) (None, 32, 32, 5) 255
=================================================================
Total params: 5,505
Trainable params: 5,505
Non-trainable params: 0
我知道运行在虚拟环境中安装tensorflow时要安装CUDA，所以我安装了它，但它仍然没有正常运行
可能CUDA安装在默认安装路径C盘，而venv文件夹安装在E盘，也就是另一个盘，所以好像有问题。我认为 CUDA 应该安装在带有 VENV 的驱动器上，但我不确定该程序的具体安装位置。在 VENV 文件夹中？ E 盘中的任何位置？
Tensorflow 在这里提示你需要CUDA 11.0（在“cudartxx_110”和“cublas_110”中，“110”=11.0 是需要的版本）。你有正确的版本吗？使用 ls /usr/local/cuda* 检查它。此外，你需要 CudNN，版本 8.0，否则你的 tensorflow 无法 运行 使用 GPU。
你可以检查这个非常有用的 link 以获得每个版本的 tensorflow 所需的 CUDA/CuDNN 版本：https://www.tensorflow.org/install/source#gpu （这里你似乎有 tf 2.4）
我向您推荐 Python>=3.7 + Cuda 11.2 + CuDNN 8.1（这是我拥有的），然后您可以 运行 在您的环境中使用最新版本的 tf（+ Pytorch 甚至 JAX）
(env - Windows10，使用 NVIDIA gpu，Powershell)
我想在虚拟环境中运行下面的示例代码
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
model = Sequential()
model.add(Dense(100, activation='relu',
input_shape=(32,32,1)))
model.add(Dense(50, activation='relu'))
model.add(Dense(5, activation='softmax'))
model.summary()
代码执行时出现注册GPU失败的错误，但没有使用GPU却执行成功
(venv) PS E:\lolol> & e:/lolol/venv/Scripts/python.exe e:/lolol/testcode2.py
2021-12-01 03:35:40.545756: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2021-12-01 03:35:40.546020: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2021-12-01 03:35:45.107760: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2021-12-01 03:35:45.108720: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cublas64_11.dll'; dlerror: cublas64_11.dll not found
2021-12-01 03:35:45.109629: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cublasLt64_11.dll'; dlerror: cublasLt64_11.dll not found
2021-12-01 03:35:45.110607: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cufft64_10.dll'; dlerror: cufft64_10.dll not found
2021-12-01 03:35:45.111655: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'curand64_10.dll'; dlerror: curand64_10.dll not found
2021-12-01 03:35:45.112802: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusolver64_11.dll'; dlerror: cusolver64_11.dll not found
2021-12-01 03:35:45.113631: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusparse64_11.dll'; dlerror: cusparse64_11.dll not found
2021-12-01 03:35:45.114479: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudnn64_8.dll'; dlerror: cudnn64_8.dll not found
2021-12-01 03:35:45.114979: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2021-12-01 03:35:45.116383: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 32, 32, 100) 200
dense_1 (Dense) (None, 32, 32, 50) 5050
dense_2 (Dense) (None, 32, 32, 5) 255
=================================================================
Total params: 5,505
Trainable params: 5,505
Non-trainable params: 0
我知道运行在虚拟环境中安装tensorflow时要安装CUDA，所以我安装了它，但它仍然没有正常运行
可能CUDA安装在默认安装路径C盘，而venv文件夹安装在E盘，也就是另一个盘，所以好像有问题。我认为 CUDA 应该安装在带有 VENV 的驱动器上，但我不确定该程序的具体安装位置。在 VENV 文件夹中？ E 盘中的任何位置？
Tensorflow 在这里提示你需要CUDA 11.0（在“cudartxx_110”和“cublas_110”中，“110”=11.0 是需要的版本）。你有正确的版本吗？使用 ls /usr/local/cuda* 检查它。此外，你需要 CudNN，版本 8.0，否则你的 tensorflow 无法 运行 使用 GPU。
你可以检查这个非常有用的 link 以获得每个版本的 tensorflow 所需的 CUDA/CuDNN 版本：https://www.tensorflow.org/install/source#gpu （这里你似乎有 tf 2.4）
我向您推荐 Python>=3.7 + Cuda 11.2 + CuDNN 8.1（这是我拥有的），然后您可以 运行 在您的环境中使用最新版本的 tf（+ Pytorch 甚至 JAX）