xception load issue

when I load the xception model,I meet:
model_name = 'xception' # could be fbresnet152 or inceptionresnetv2
model = pretrainedmodels.__dict__[model_name](num_classes=1000, pretrained='imagenet')
model.eval()

the error msgs:
RuntimeError: Error(s) in loading state_dict for Xception:
size mismatch for block1.rep.0.pointwise.weight: copying a param of torch.Size([128, 64, 1, 1]) from checkpoint, where the shape is torch.Size([128, 64]) in current model.
size mismatch for block1.rep.3.pointwise.weight: copying a param of torch.Size([128, 128, 1, 1]) from checkpoint, where the shape is torch.Size([128, 128]) in current model.
size mismatch for b

Start by reproducing the Xception load using the model construction shown in the issue and inspect the Xception checkpoint-loading entry point. Compare the checkpoint parameter shapes with the model's expected shapes; done means pretrained Xception loads successfully without the reported state_dict size mismatches.

Written by the indexing model from the issue text.