Is the pretrained resnet50s not available

Hi, please see the outputs,

(myconda) root@6bdd6e0be92e:/home# python 1.py
Model file /root/.encoding/models/resnet50s-a75c83cf.pth is not found. Downloading.
Downloading /root/.encoding/models/resnet50s-a75c83cf.zip from https://s3.us-west-1.wasabisys.com/encoding/models/resnet50s-a75c83cf.zip...
Traceback (most recent call last):
File "1.py", line 5, in
model = encoding.models.get_model('EncNet_ResNet50s_ADE', pretrained=True)
File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/encoding/models/model_zoo.py", line 76, in get_model
net = modelsname
File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/encoding/models/sseg/encnet.py", line 224, in get_encnet_resnet50_ade
return get_encnet('ade20k', 'resnet50s', pretrained, root=root, aux=True,
File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/encoding/models/sseg/encnet.py", line 140, in get_encnet
model = EncNet(datasets[dataset.lower()].NUM_CLASS, backbone=backbone, root=root, **kwargs)
File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/encoding/models/sseg/encnet.py", line 23, in init
super(EncNet, self).init(nclass, backbone, aux, se_loss,
File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/encoding/models/sseg/base.py", line 69, in init
self.pretrained = get_backbone(backbone, pretrained=True, dilated=dilated,
File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/encoding/models/sseg/base.py", line 51, in get_backbone
net = modelsname
File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/encoding/models/backbone/resnet_variants.py", line 21, in resnet50s
get_model_file('resnet50s', root=root)), strict=False)
File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/encoding/models/model_store.py", line 103, in get_model_file
download(_url_format.format(repo_url=repo_url, file_name=file_name),
File "/root/miniconda3/envs/myconda/lib/python3.8/site-packages/encoding/utils/files.py", line 61, in download
raise RuntimeError("Failed downloading url %s"%url)
RuntimeError: Failed downloading url https://s3.us-west-1.wasabisys.com/encoding/models/resnet50s-a75c83cf.zip
(myconda) root@6bdd6e0be92e:/home#

In 1.py,

import torch
import encoding

model = encoding.models.get_model('EncNet_ResNet50s_ADE', pretrained=True)

I copied the address 'https://s3.us-west-1.wasabisys.com/encoding/models/resnet50s-a75c83cf.zip' to Chrome, but got some errors,

<Error>
<Code>AccessDenied</Code>
<Message>Access Denied</Message>
<RequestId>5A72D647102416C4</RequestId>
<HostId>VeStwX8UZcelD8oGsM5QhLK5jJ7ho3wYRdKC21cJic/6M3QkouwKmpWuyFeSfAOj4XeYtLXCsfqe</HostId>
</Error>

Start at encoding/models/model_store.py and the get_model entry point shown in the traceback, then trace the download URL used for resnet50s. Verify whether the referenced model archive is available and determine what repository change is needed. Done means the pretrained EncNet_ResNet50s_ADE example can download its model without the reported AccessDenied or failed-download error.