pymetric
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The provided resnest269 checkpoint does not have the embedding_layer weights
Nice work.
I downloaded the provided resnest269 pretrained checkpoint, but find it only has the weights for backbone and a 1000-class classificaiton header, but not the expected embedding layer weights. Any chance to share a version with the embedding layer weights as well?
For reference, here is the name of the last few layers in the state_dict loaded from the provided checkpoint
layer4.7.conv2.bn1.running_var
layer4.7.conv2.bn1.num_batches_tracked
layer4.7.conv2.fc2.weight
layer4.7.conv2.fc2.bias
layer4.7.conv3.weight
layer4.7.bn3.weight
layer4.7.bn3.bias
layer4.7.bn3.running_mean
layer4.7.bn3.running_var
layer4.7.bn3.num_batches_tracked
fc.weight
fc.bias
The fc.weight has shape [1000,2048]