Conv2d

class Conv2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, conv_mode='cross_correlation', compute_mode='default', dtype=None, padding_mode='zeros', **kwargs)

Quantized version of Conv2d.

Applies a 2D convolution over a quantized input tensor, used for inference only.

The parameter is same with Conv2d.

classmethod from_qat_module(qat_module)

Return a QuantizedModule instance converted from a QATModule instance.

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ConvRelu2d