build/torch-universal/backward_marker_test/layers.py

import torch
import torch.nn as nn
from torch.nn import functional as F


class LinearImplicitBackward(nn.Module):
    can_torch_compile = True

    def forward(self, input: torch.Tensor) -> torch.Tensor:
        return F.linear(input, self.weight, self.bias)


class LinearBackward(nn.Module):
    can_torch_compile = True
    has_backward = True

    def forward(self, input: torch.Tensor) -> torch.Tensor:
        return F.linear(input, self.weight, self.bias)


class LinearNoBackward(nn.Module):
    can_torch_compile = True
    has_backward = False

    def forward(self, input: torch.Tensor) -> torch.Tensor:
        return F.linear(input, self.weight, self.bias)


__all__ = ["LinearImplicitBackward", "LinearBackward", "LinearNoBackward"]