ConvReLU3d

class torch.ao.nn.intrinsic.quantized.modules.conv_relu.ConvReLU3d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', device=None, dtype=None)

A ConvReLU3d module is a fused module of Conv3d and ReLU

We adopt the same interface as torch.ao.nn.quantized.Conv3d.

Attributes: Same as torch.ao.nn.quantized.Conv3d

forward(input)

Applies fused quantized Conv3d and ReLU.

classmethod from_float(mod, use_precomputed_fake_quant=False)

Creates a quantized module from a float module.

classmethod from_reference(ref_qconv, output_scale, output_zero_point)

Creates a quantized module from a reference module.