Table of Contents
Shortcuts

# torch.dequantize

torch.dequantize(tensor) → Tensor

  Returns an fp32 Tensor by dequantizing a quantized Tensor

  Parameters:

    tensor (Tensor) – A quantized Tensor

  torch.dequantize(tensors) → sequence of Tensors

  Given a list of quantized Tensors, dequantize them and return a list of fp32 Tensors

  Parameters:

    tensors (sequence of Tensors) – A list of quantized Tensors

## Docs

Access comprehensive developer documentation for PyTorch

View Docs

## Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

## Resources

Find development resources and get your questions answered

View Resources

To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As the current maintainers of this site, Facebook’s Cookies Policy applies. Learn more, including about available controls: Cookies Policy.