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Python is an object-oriented programming language with a high level of abstraction. This language is used to create a variety of applications and websites. Python is the perfect choice for top professionals to beginners, thanks to its simple yet elegant structure. This language is also appreciated for its rigor, power, and speed, which are present in all operating systems. When you try to complete your task, you get this error: “RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED in Python“. This error is one of the most popular errors any programmer will make. So, why does it appear, and how can it be resolved? We’ll go over it with you.
Why Does The Error: RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED in Python Occur?
You are running some basic code. However, you receive the following error.
Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/conv.py", line 263, in forward return self._conv_forward(input, self.weight, self.bias) File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/conv.py", line 260, in _conv_forward self.padding, self.dilation, self.groups) RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED
There are numerous reasons for the error. The main reason is that the version is incompatible.
The Effective Methods For ”cuDNN error: CUDNN_STATUS_NOT_INITIALIZED in Python” Error
Solution 1: Use the cuda 11.1
Your problem can be solved by using Cuda 11.1 and the command below.
pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html
Solution 2: Downgrade to torch-1.7.1
You also use Cuda 10.2. When you upgrade the torch and torchvision to the latest version, you will encounter the same error (torch-1.8.0 and torchvision-0.9.0). Which version do you have?
We suppose this isn’t the best solution, but downgrading to torch-1.7.1 and torchvision-0.8.2 works perfectly.
Solution 3: Run await main(url) even outside of asynchronous functions
Another solution to solve the error ”cuDNN error: CUDNN_STATUS_NOT_INITIALIZED in Python” is that in Jupyter, you can run await main(url) even outside of asynchronous functions without needing to start the event loop manually. Or you can set the model’s output categories to the same number as the categories in the data set. This is a great solution for your error. After you do that, your error will be completely resolved, so let’s do it to get your desired result.
We believe that the above method will be beneficial to all of you.
The solutions mentioned above are the best options for those still confused with this error: “RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED in Python”. If you need our support or have other questions, we have a thriving community where everyone is always willing to help. Finally, we wish you a productive day filled with new solutions and code.