diff options
| author | junyanz <junyanz@berkeley.edu> | 2017-11-04 02:27:18 -0700 |
|---|---|---|
| committer | junyanz <junyanz@berkeley.edu> | 2017-11-04 02:27:18 -0700 |
| commit | 6b8e96c4bbd73a1e1d4e126d795a26fd0dae983c (patch) | |
| tree | 67072a0442b705b5d5b29840f4b41e13af1d4597 /models/networks.py | |
| parent | 5f858eb70a3c110238f74a592bad0e7be601c539 (diff) | |
add update_html_freq flag
Diffstat (limited to 'models/networks.py')
| -rw-r--r-- | models/networks.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/models/networks.py b/models/networks.py index 949659d..d071ac4 100644 --- a/models/networks.py +++ b/models/networks.py @@ -118,7 +118,7 @@ def define_G(input_nc, output_nc, ngf, which_model_netG, norm='batch', use_dropo else: raise NotImplementedError('Generator model name [%s] is not recognized' % which_model_netG) if len(gpu_ids) > 0: - netG.cuda(device_id=gpu_ids[0]) # or netG.cuda(device=gpu_ids[0]) for latest version. + netG.cuda(device_id=gpu_ids[0]) # or netG.cuda(device=gpu_ids[0]) for latest version. init_weights(netG, init_type=init_type) return netG @@ -139,7 +139,7 @@ def define_D(input_nc, ndf, which_model_netD, raise NotImplementedError('Discriminator model name [%s] is not recognized' % which_model_netD) if use_gpu: - netD.cuda(device_id=gpu_ids[0]) # or netD.cuda(device=gpu_ids[0]) for latest version. + netD.cuda(device_id=gpu_ids[0]) # or netD.cuda(device=gpu_ids[0]) for latest version. init_weights(netD, init_type=init_type) return netD |