diff options
Diffstat (limited to 'models')
| -rw-r--r-- | models/model.py | 13 |
1 files changed, 8 insertions, 5 deletions
diff --git a/models/model.py b/models/model.py index 497a0ea..2eeaf5e 100644 --- a/models/model.py +++ b/models/model.py @@ -175,13 +175,15 @@ class Model: num_pos_pairs = (self.k*(self.k-1)//2) * self.pr # Try to accelerate computation using CUDA or others + self.rgb_pn = nn.DataParallel(self.rgb_pn) self.rgb_pn = self.rgb_pn.to(self.device) + self.triplet_loss = nn.DataParallel(self.triplet_loss) self.triplet_loss = self.triplet_loss.to(self.device) self.optimizer = optim.Adam([ - {'params': self.rgb_pn.ae.parameters(), **ae_optim_hp}, - {'params': self.rgb_pn.pn.parameters(), **pn_optim_hp}, - {'params': self.rgb_pn.hpm.parameters(), **hpm_optim_hp}, - {'params': self.rgb_pn.fc_mat, **fc_optim_hp} + {'params': self.rgb_pn.module.ae.parameters(), **ae_optim_hp}, + {'params': self.rgb_pn.module.pn.parameters(), **pn_optim_hp}, + {'params': self.rgb_pn.module.hpm.parameters(), **hpm_optim_hp}, + {'params': self.rgb_pn.module.fc_mat, **fc_optim_hp} ], **optim_hp) sched_final_gamma = sched_hp.get('final_gamma', 0.001) sched_start_step = sched_hp.get('start_step', 15_000) @@ -227,7 +229,7 @@ class Model: y = y.repeat(self.rgb_pn.num_total_parts, 1) trip_loss, dist, num_non_zero = self.triplet_loss(embedding, y) losses = torch.cat(( - ae_losses, + ae_losses.mean(0), torch.stack(( trip_loss[:self.rgb_pn.hpm_num_parts].mean(), trip_loss[self.rgb_pn.hpm_num_parts:].mean() @@ -389,6 +391,7 @@ class Model: model_hp.pop('triplet_margins', None) self.rgb_pn = RGBPartNet(self.in_channels, self.in_size, **model_hp) # Try to accelerate computation using CUDA or others + self.rgb_pn = nn.DataParallel(self.rgb_pn) self.rgb_pn = self.rgb_pn.to(self.device) self.rgb_pn.eval() |