Table of Contents
Shortcuts

# NoopObserver

class torch.ao.quantization.observer.NoopObserver(dtype=torch.float16, custom_op_name='')

  Observer that doesn’t do anything and just passes its configuration to the quantized module’s `.from_float()`.

  Primarily used for quantization to float16 which doesn’t require determining ranges.

  Parameters:

    - dtype – Quantized data type

    - custom_op_name – (temporary) specify this observer for an operator that doesn’t require any observation (Can be used in Graph Mode Passes for special case ops).

## 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.