LinearLeakyReLU

class torch.ao.nn.intrinsic.quantized.modules.linear_relu.LinearLeakyReLU(in_features, out_features, negative_slope, bias=True, dtype=torch.qint8)

For onednn backend only A LinearLeakyReLU module fused from Linear and LeakyReLU modules We adopt the same interface as torch.ao.nn.quantized.Linear. :ivar Same as torch.ao.nn.quantized.Linear: :ivar + negative_slope:

Examples::

>>> m = nn.intrinsic.LinearLeakyReLU(20, 30, 0.01)
>>> input = torch.randn(128, 20)
>>> output = m(input)
>>> print(output.size())
torch.Size([128, 30])