LinearReLU

class torch.ao.nn.intrinsic.qat.LinearReLU(in_features, out_features, bias=True, qconfig=None)

A LinearReLU module fused from Linear and ReLU modules, attached with FakeQuantize modules for weight, used in quantization aware training.

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

Similar to torch.ao.nn.intrinsic.LinearReLU, with FakeQuantize modules initialized to default.

Variables

weight (torch.Tensor) – fake quant module for weight

Examples:

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