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Fixed: Training of AoANet Model #15

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Fixed: Training of AoANet Model #15

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ae05867
Fix parameters in function call to torch.optim.lr_scheduler.ReduceLRO…
alfred100p May 1, 2021
c887f5b
Convert to int64 CPU tensor
alfred100p May 2, 2021
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2 changes: 1 addition & 1 deletion downstream/AoANet_VC/misc/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -233,7 +233,7 @@ def __getattr__(self, name):
class ReduceLROnPlateau(object):
"Optim wrapper that implements rate."
def __init__(self, optimizer, mode='min', factor=0.1, patience=10, verbose=False, threshold=0.0001, threshold_mode='rel', cooldown=0, min_lr=0, eps=1e-08):
self.scheduler = optim.lr_scheduler.ReduceLROnPlateau(optimizer, mode, factor, patience, verbose, threshold, threshold_mode, cooldown, min_lr, eps)
self.scheduler = optim.lr_scheduler.ReduceLROnPlateau(optimizer, mode, factor, patience, threshold, threshold_mode, cooldown, min_lr, eps, verbose)
self.optimizer = optimizer
self.current_lr = get_lr(optimizer)

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5 changes: 3 additions & 2 deletions downstream/AoANet_VC/models/AttModel.py
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Expand Up @@ -31,7 +31,8 @@

def sort_pack_padded_sequence(input, lengths):
sorted_lengths, indices = torch.sort(lengths, descending=True)
tmp = pack_padded_sequence(input[indices], sorted_lengths, batch_first=True)
sorted_lengths=sorted_lengths.to(int)
tmp = pack_padded_sequence(input[indices], sorted_lengths.cpu(), batch_first=True)
inv_ix = indices.clone()
inv_ix[indices] = torch.arange(0,len(indices)).type_as(inv_ix)
return tmp, inv_ix
Expand Down Expand Up @@ -791,4 +792,4 @@ def core(self, xt, fc_feats, att_feats, p_att_feats, state, att_masks):
def _prepare_feature(self, fc_feats, att_feats, att_masks):
fc_feats = self.fc_embed(fc_feats)

return fc_feats, None, None, None
return fc_feats, None, None, None