Shortcuts

Conv3d

class torch.ao.nn.qat.Conv3d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', qconfig=None, device=None, dtype=None)[source]

A Conv3d module attached with FakeQuantize modules for weight, used for quantization aware training.

We adopt the same interface as torch.nn.Conv3d, please see https://pytorch.org/docs/stable/nn.html?highlight=conv3d#torch.nn.Conv3d for documentation.

Similar to torch.nn.Conv3d, with FakeQuantize modules initialized to default.

Variables

weight_fake_quant – fake quant module for weight

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources