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| author | junyanz <junyanz@berkeley.edu> | 2017-04-22 03:45:58 -0700 |
|---|---|---|
| committer | junyanz <junyanz@berkeley.edu> | 2017-04-22 03:45:58 -0700 |
| commit | 318936a415814e4b7b7affd3efd69c2aa1331074 (patch) | |
| tree | d7c2902b3680991a3f2da76c68a4df9254b38d36 /README.md | |
| parent | 8f72c929868a0be6ff132614b0a161c3ad63d778 (diff) | |
update README & fix test-time issues in visualizer
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -95,7 +95,7 @@ More example scripts can be found at `scripts` directory. ## Training/test Details - See `options/train_options.py` and `options/base_options.py` for training flags; see `optoins/test_options.py` and `options/base_options.py` for test flags. -- CPU/GPU (default `--gpu_ids 0`): Set `--gpu_ids -1` to use CPU mode; set `--gpu_ids 0,1,2` for multi-GPU mode. +- CPU/GPU (default `--gpu_ids 0`): Set `--gpu_ids -1` to use CPU mode; set `--gpu_ids 0,1,2` for multi-GPU mode. You need a large batch size (e.g. `--batchSize 32`) to benefit from multiple gpus. - During training, the current results can be viewed using two methods. First, if you set `--display_id` > 0, the results and loss plot will be shown on a local graphics web server launched by [visdom](https://github.com/facebookresearch/visdom). To do this, you should have visdom installed and a server running by the command `python -m visdom.server`. The default server URL is `http://localhost:8097`. `display_id` corresponds to the window ID that is displayed on the `visdom` server. The `visdom` display functionality is turned on by default. To avoid the extra overhead of communicating with `visdom` set `--display_id 0`. Second, the intermediate results are saved to `[opt.checkpoints_dir]/[opt.name]/web/` as an HTML file. To avoid this, set `--no_html`. |