phivenv/Lib/site-packages/torch/ao/nn/quantized/modules/dropout.py

# mypy: allow-untyped-defs
import torch


__all__ = ["Dropout"]


class Dropout(torch.nn.Dropout):
    r"""This is the quantized equivalent of :class:`~torch.nn.Dropout`.
        And this is a placeholder to enable models where fp32 tensors
        had dropout to work with quantized tensors in train and eval mode.

    Args:
        p: probability of an element to be zeroed
        inplace: can optionally do the operation in-place. Default: ``False``
    """

    def forward(self, input):
        return input

    def _get_name(self):
        return "QuantizedDropout"

    @classmethod
    def from_float(cls, mod, use_precomputed_fake_quant=False):
        return cls(mod.p, mod.inplace)

    @classmethod
    def from_reference(cls, mod, scale, zero_point):
        return cls(mod.p, mod.inplace)