LinearReLU

class torch.nn.intrinsic.quantized.LinearReLU(in_features, out_features, bias=True, dtype=torch.qint8)

A LinearReLU module fused from Linear and ReLU modules

We adopt the same interface as torch.nn.quantized.Linear.

Variables

as torch.nn.quantized.Linear (Same) –

Examples:

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