U Kºc‡ã@s$ddlZGdd„dejjjjƒZdS)éNcs(eZdZdZdddœ‡fdd„ Z‡ZS)ÚLinearah A linear module attached with FakeQuantize modules for weight, used for dynamic quantization aware training. 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`, with FakeQuantize modules initialized to default. TN)Úreturncs0tƒ ||||||¡tjj |¡s,tdƒ‚dS)NzqDynamic QAT requires a memoryless observer.This means a MovingAverage observer with averaging constant equal to 1)ÚsuperÚ__init__ÚtorchÚaoZ quantizationZactivation_is_memorylessÚ ValueError)ÚselfZ in_featuresZ out_featuresZbiasZqconfigZdeviceZdtype©Ú __class__©úJ/tmp/pip-unpacked-wheel-gikjz4vx/torch/ao/nn/qat/dynamic/modules/linear.pyrs ÿzLinear.__init__)TNNN)Ú__name__Ú __module__Ú __qualname__Ú__doc__rÚ __classcell__r r r r rs ÿÿr)rrÚnnZqatrr r r r Ús