From 6f71fb102f509d705d3abaa1f44638a19f57e92e Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期一, 07 八月 2017 05:15:52 +0800
Subject: [PATCH] next
---
code/train_resnet_bins.py | 12 +++++++++---
1 files changed, 9 insertions(+), 3 deletions(-)
diff --git a/code/train_resnet_bins.py b/code/train_resnet_bins.py
index f33ffd6..6b07747 100644
--- a/code/train_resnet_bins.py
+++ b/code/train_resnet_bins.py
@@ -109,7 +109,13 @@
model.cuda(gpu)
criterion = nn.CrossEntropyLoss()
- optimizer = torch.optim.Adam([{'params': get_ignored_params(model), 'lr': args.lr},
+ # optimizer = torch.optim.Adam([{'params': get_ignored_params(model), 'lr': args.lr},
+ # {'params': get_non_ignored_params(model), 'lr': args.lr * 10}],
+ # lr = args.lr)
+ # optimizer = torch.optim.SGD([{'params': get_ignored_params(model), 'lr': args.lr},
+ # {'params': get_non_ignored_params(model), 'lr': args.lr}],
+ # lr = args.lr, momentum=0.9)
+ optimizer = torch.optim.RMSprop([{'params': get_ignored_params(model), 'lr': args.lr},
{'params': get_non_ignored_params(model), 'lr': args.lr * 10}],
lr = args.lr)
@@ -141,7 +147,7 @@
if epoch % 1 == 0 and epoch < num_epochs - 1:
print 'Taking snapshot...'
torch.save(model.state_dict(),
- 'output/snapshots/resnet50_binned_epoch_' + str(epoch+1) + '.pkl')
+ 'output/snapshots/resnet50_binned_RMSprop_epoch_' + str(epoch+1) + '.pkl')
# Save the final Trained Model
- torch.save(model.state_dict(), 'output/snapshots/resnet50_binned_epoch_' + str(epoch+1) + '.pkl')
+ torch.save(model.state_dict(), 'output/snapshots/resnet50_binned_RMSprop_epoch_' + str(epoch+1) + '.pkl')
--
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