From 43416c4717d2430c3e11f042294d12b781fee2e1 Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期三, 27 九月 2017 04:09:30 +0800
Subject: [PATCH] Failed lstm experiment
---
code/train.py | 9 +++++++--
1 files changed, 7 insertions(+), 2 deletions(-)
diff --git a/code/train.py b/code/train.py
index 2f0cce3..3525f87 100644
--- a/code/train.py
+++ b/code/train.py
@@ -149,6 +149,7 @@
softmax = nn.Softmax()
criterion = nn.CrossEntropyLoss().cuda()
reg_criterion = nn.MSELoss().cuda()
+ smooth_l1_loss = nn.SmoothL1Loss().cuda()
# Regression loss coefficient
alpha = args.alpha
@@ -157,7 +158,7 @@
optimizer = torch.optim.Adam([{'params': get_ignored_params(model), 'lr': 0},
{'params': get_non_ignored_params(model), 'lr': args.lr},
- {'params': get_fc_params(model), 'lr': args.lr * 2}],
+ {'params': get_fc_params(model), 'lr': args.lr * 5}],
lr = args.lr)
print 'Ready to train network.'
@@ -266,8 +267,12 @@
loss_seq = [loss_yaw, loss_pitch, loss_roll]
for idx in xrange(1,len(angles)):
label_angles_residuals = label_angles - angles[0] * 3 - 99
+ for idy in xrange(1,idx):
+ label_angles_residuals += angles[idy] * 3 - 99
label_angles_residuals = label_angles_residuals.detach()
- loss_angles = reg_criterion(angles[idx], label_angles_residuals)
+ # Reconvert to other unit
+ label_angles_residuals = label_angles_residuals / 3.0 + 33
+ loss_angles = smooth_l1_loss(angles[idx], label_angles_residuals)
loss_seq.append(loss_angles)
grad_seq = [torch.Tensor(1).cuda(gpu) for _ in range(len(loss_seq))]
--
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