Linear¶
-
class
torch.nn.quantized.dynamic.
Linear
(in_features, out_features, bias_=True, dtype=torch.qint8)[source]¶ A dynamic quantized linear module with floating point tensor as inputs and outputs. We adopt the same interface as torch.nn.Linear, please see https://pytorch.org/docs/stable/nn.html#torch.nn.Linear for documentation.
Similar to
torch.nn.Linear
, attributes will be randomly initialized at module creation time and will be overwritten later- Variables
Examples:
>>> m = nn.quantized.dynamic.Linear(20, 30) >>> input = torch.randn(128, 20) >>> output = m(input) >>> print(output.size()) torch.Size([128, 30])