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ConvReLU1d

class torch.nn.intrinsic.quantized.ConvReLU1d(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 ConvReLU1d module is a fused module of Conv1d and ReLU

We adopt the same interface as torch.ao.nn.quantized.Conv1d.

Variables:

torch.ao.nn.quantized.Conv1d (Same as) –

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