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ConvReLU2d
class torch.ao.nn.intrinsic.quantized.ConvReLU2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', device=None, dtype=None)
[source]-
A ConvReLU2d module is a fused module of Conv2d and ReLU
We adopt the same interface as
torch.ao.nn.quantized.Conv2d
.- Variables
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torch.ao.nn.quantized.Conv2d (Same as) –
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https://pytorch.org/docs/2.1/generated/torch.ao.nn.intrinsic.quantized.ConvReLU2d.html