def METHOD_NAME(self):
    """Basic test of PyTorch quantize::conv3d Node with packed weights on Glow."""
    x = torch.tensor(range(5), dtype=torch.float)
    x = torch.cat((x, x, x, x, x))
    x = torch.cat((x, x, x))
    x = torch.cat((x, x, x))
    x = torch.reshape(x, [1, 3, 3, 5, 5])
    utils.compare_tracing_methods(
        PackedConv3dModel(
            torch.nn.quantized.Quantize(0.1, 2, torch.quint8),
            torch.nn.Conv3d(3, 3, kernel_size=1, stride=(1, 1, 1), groups=3),
            torch.nn.quantized.DeQuantize(),
            2.0,
            1.0,
        ),
        x,
        fusible_ops={
            "aten::quantize_per_tensor",
            "quantized::conv3d",
            "aten::dequantize",
        },
    )