Solve the problem of encountering:PytorchStreamReader failed reading zip archive: failed founding central error

I encountered "PytorchStreamReader failed reading zip archive: failed finding central directory" error

This is due to a problem when reading the PyTorch model.

This error usually occurs when the model file is corrupted or incomplete.

To solve this problem, you can try the following:

Check the model file: First, make sure your model file is not corrupted or deleted. You can check if the model file exists to make sure it is available.
Check file path: Make sure that the model file path you provide to PyTorch is correct and can be accessed correctly. You can use absolute or relative paths, but you need to make sure that the path is correct.
Re-download the model file: If you are sure that the model file exists and the path is correct, but you still encounter this error, it may be because the model file is corrupted. In this case, you can try to re-download the model file and make sure you try to load it again after the download is complete.
Update PyTorch version: If none of the above methods can solve the problem, it may be because the PyTorch version you are using is too old or has some bugs. Try updating PyTorch to the latest version to make sure you are using the latest bug fixes and improved versions.

Here is a sample code that demonstrates how to load a model file using PyTorch:

pythonCopy codeimport torch
# Define the model classclass MyModel():
    def __init__(self):
        super(MyModel, self).__init__()
         = (10, 1)
    
    def forward(self, x):
        out = (x)
        return out
# Create a model instancemodel = MyModel()
# Set the model file pathmodel_path = ""
# Try to load the model filetry:
    # Load model parameters    model.load_state_dict((model_path))
    # Set the model to evaluation mode    （)
    print("The model loaded successfully!")
except Exception as e:
    print("Model loading failed:", e)

In this example, we first define a simple model classMyModel, it contains a fully connected layer.

Then, we created a model instancemodel。

Next, we set the path to the model filemodel_path。

Then, we use()The method loads the model parameters and loads them into the model instance.

Finally, we set the model to evaluation mode and print out information that the load is successful or failed.

Please make sure you have saved the model file correctly as , and place it in the same directory as the code.

If the model file exists and is not corrupted, the code should be able to successfully load the model and output the information "Model loads successfully!".

If an error is encountered, the code will output "Model loading failed:" followed by the specific error message.

How to solve it

When we are using PyTorch for deep learning tasks, we may sometimes encounter "PytorchStreamReader failed reading zip archive: failed finding central" error.

This error indicates that PyTorch cannot read the central directory of the compressed file.

This error may be caused by file corruption, file path errors, or PyTorch version incompatibility.

In this article, we will provide some solutions and suggestions for solving this error.

1. Check file integrity

First, we need to check the integrity of the file.
Make sure the file is not corrupted or modified accidentally.
Try re-downloading the file and try again.

2. Check the file path

Make sure the file path is correct.
Sometimes this error may be caused by a file path error.
Check whether the file path contains special characters or whether the file name is correct.

3. Update PyTorch version

If we are using an older version of PyTorch, try to update to the latest version.
Sometimes this error may be caused by PyTorch version incompatibility.
Visit the official PyTorch website, download the latest version of PyTorch and install it.

4. Check the compressed file format

Make sure the compressed file is formatted correctly.
Sometimes this error may be caused by an unsupported compression format.
Try to convert the compressed file to a supported format, such as zip format.

5. Check code issues

If we are PyTorch developers, we need to check if there are errors in the code.
Use debugging tools to track errors and fix issues in your code.
Make sure the code is free of syntax errors, logic errors, or other problems.

6. Seek technical support

If none of the above methods can solve the problem, we can seek technical support from PyTorch.
Contact PyTorch's official forum, community or developer to ask them for solutions to this error.

Summarize

When encountering the "PytorchStreamReader failed reading zip archive: failed finding central" error, we can try to check file integrity, check file path, update PyTorch version, check compressed file format, check code problems, or seek technical support.

Choosing the appropriate solution based on the specific situation will help us solve this error and perform deep learning tasks normally.

The above is personal experience. I hope you can give you a reference and I hope you can support me more.