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update transfo xl example

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thomwolf
2019-02-09 16:59:17 +01:00
parent 1320e4ec0c
commit 6cd769957e
2 changed files with 4 additions and 4 deletions
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4
examples/run_transfo_xl.py
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@@ -28,7 +28,7 @@ import math
import torch import torch
from pytorch_pretrained_bert import TransfoXLModel, TransfoXLCorpus from pytorch_pretrained_bert import TransfoXLLMHeadModel, TransfoXLCorpus
logging.basicConfig(format = '%(asctime)s - %(levelname)s - %(name)s - %(message)s', logging.basicConfig(format = '%(asctime)s - %(levelname)s - %(name)s - %(message)s',
datefmt = '%m/%d/%Y %H:%M:%S', datefmt = '%m/%d/%Y %H:%M:%S',
@@ -79,7 +79,7 @@ def main():
device=device, ext_len=args.ext_len) device=device, ext_len=args.ext_len)
# Load a pre-trained model # Load a pre-trained model
model = TransfoXLModel.from_pretrained(args.model_name) model = TransfoXLLMHeadModel.from_pretrained(args.model_name)
model = model.to(device) model = model.to(device)
logger.info('Evaluating with bsz {} tgt_len {} ext_len {} mem_len {} clamp_len {}'.format( logger.info('Evaluating with bsz {} tgt_len {} ext_len {} mem_len {} clamp_len {}'.format(

2
pytorch_pretrained_bert/modeling_transfo_xl_utilities.py
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@@ -169,7 +169,7 @@ class ProjectedAdaptiveLogSoftmax(nn.Module):
if i == 0: if i == 0:
if target is not None: if target is not None:
logprob_i = head_logprob_i.gather(1, target_i[:,None]).squeeze(1) logprob_i = head_logprob_i.gather(1, target_i[:, None]).squeeze(1)
else: else:
out[:, :self.cutoffs[0]] = head_logprob[:, :self.cutoffs[0]] out[:, :self.cutoffs[0]] = head_logprob[:, :self.cutoffs[0]]
else: else: