Source code for

import torch

__all__ = ["Linear"]

[docs]class Linear( r""" A linear module attached with FakeQuantize modules for weight, used for dynamic quantization aware training. We adopt the same interface as `torch.nn.Linear`, please see for documentation. Similar to `torch.nn.Linear`, with FakeQuantize modules initialized to default. """ def __init__(self, in_features, out_features, bias=True, qconfig=None, device=None, dtype=None) -> None: super().__init__(in_features, out_features, bias, qconfig, device, dtype) if not raise ValueError( "Dynamic QAT requires a memoryless observer." + "This means a MovingAverage observer with averaging constant equal to 1" )


Access comprehensive developer documentation for PyTorch

View Docs


Get in-depth tutorials for beginners and advanced developers

View Tutorials


Find development resources and get your questions answered

View Resources