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| author | Jordan Gong <jordan.gong@protonmail.com> | 2021-01-14 17:14:51 +0800 |
|---|---|---|
| committer | Jordan Gong <jordan.gong@protonmail.com> | 2021-01-14 17:14:51 +0800 |
| commit | 89472cfae2d7c9af923b6029e4c811c76e1e6482 (patch) | |
| tree | f8533903a6bff81637cf35c8d37b2c52d165e65d /models | |
| parent | 07f22376fae0bb38ddc95413366d57a97a01f17d (diff) | |
| parent | 8572f5c8292e5798912ad54764c9d3a99afb49ec (diff) | |
Merge branch 'python3.8' into python3.7
Diffstat (limited to 'models')
| -rw-r--r-- | models/model.py | 11 |
1 files changed, 2 insertions, 9 deletions
diff --git a/models/model.py b/models/model.py index 258fd71..aa45d66 100644 --- a/models/model.py +++ b/models/model.py @@ -134,7 +134,7 @@ class Model: sched_hp = self.hp.get('scheduler', {}) self.rgb_pn = RGBPartNet(self.train_size, self.in_channels, **model_hp) # Try to accelerate computation using CUDA or others - self.rgb_pn = self._accelerate(self.rgb_pn) + self.rgb_pn = self.rgb_pn.to(self.device) self.optimizer = optim.Adam(self.rgb_pn.parameters(), **optim_hp) self.scheduler = optim.lr_scheduler.StepLR(self.optimizer, **sched_hp) self.writer = SummaryWriter(self._log_name) @@ -193,13 +193,6 @@ class Model: self.writer.close() break - def _accelerate(self, model: nn.Module) -> nn.Module: - if not self.disable_acc: - if torch.cuda.device_count() > 1: - model = nn.DataParallel(model) - model = model.to(self.device) - return model - def predict_all( self, iter_: int, @@ -222,7 +215,7 @@ class Model: model_hp = self.hp.get('model', {}) self.rgb_pn = RGBPartNet(ae_in_channels=self.in_channels, **model_hp) # Try to accelerate computation using CUDA or others - self.rgb_pn = self._accelerate(self.rgb_pn) + self.rgb_pn = self.rgb_pn.to(self.device) self.rgb_pn.eval() gallery_samples, probe_samples = [], {} |