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add distant debugging to run_transfo_xl

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thomwolf 2019-02-11 12:53:32 +01:00
parent b31ba23913
commit 32fea876bb
2 changed files with 11 additions and 2 deletions
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4
README.md
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@ -891,7 +891,7 @@ python run_openai_gpt.py \
--train_batch_size 16 \
```
This command run in about 10 min on a single K-80 an gives an evaluation accuracy of 86.42% (the authors reports a median accuracy with the TensorFlow code of 85.8% and the OpenAI GPT paper reports a best single run accuracy of 86.5%).
This command runs in about 10 min on a single K-80 an gives an evaluation accuracy of about 86.4% (the authors report a median accuracy with the TensorFlow code of 85.8% and the OpenAI GPT paper reports a best single run accuracy of 86.5%).
#### Evaluating the pre-trained Transformer-XL on the WikiText 103 dataset
@ -902,7 +902,7 @@ This command will download a pre-processed version of the WikiText 103 dataset i
python run_transfo_xl.py --work_dir ../log
```
This command run in about 10 min on a single K-80 an gives an evaluation accuracy of 86.42% (the authors reports a median accuracy with the TensorFlow code of 85.8% and the OpenAI GPT paper reports a best single run accuracy of 86.5%).
This command runs in about 1 min on a V100 and gives an evaluation perplexity of 18.22 on WikiText-103 (the authors report a perplexity of about 18.3 on this dataset with the TensorFlow code).
## Fine-tuning BERT-large on GPUs

9
examples/run_transfo_xl.py
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@ -60,9 +60,18 @@ def main():
help='do not log the eval result')
parser.add_argument('--same_length', action='store_true',
help='set same length attention with masking')
parser.add_argument('--server_ip', type=str, default='', help="Can be used for distant debugging.")
parser.add_argument('--server_port', type=str, default='', help="Can be used for distant debugging.")
args = parser.parse_args()
assert args.ext_len >= 0, 'extended context length must be non-negative'
if args.server_ip and args.server_port:
# Distant debugging - see https://code.visualstudio.com/docs/python/debugging#_attach-to-a-local-script
import ptvsd
print("Waiting for debugger attach")
ptvsd.enable_attach(address=(args.server_ip, args.server_port), redirect_output=True)
ptvsd.wait_for_attach()
device = torch.device("cuda" if torch.cuda.is_available() and not args.no_cuda else "cpu")
logger.info("device: {}".format(device))