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_finetune.py | 7 ++++++-
1 files changed, 6 insertions(+), 1 deletions(-)
diff --git a/code/train_finetune.py b/code/train_finetune.py
index 6fab115..10eb6ad 100644
--- a/code/train_finetune.py
+++ b/code/train_finetune.py
@@ -150,6 +150,7 @@
softmax = nn.Softmax()
criterion = nn.CrossEntropyLoss().cuda()
reg_criterion = nn.MSELoss().cuda()
+ smooth_l1_loss = nn.SmoothL1Loss().cuda()
# Regression loss coefficient
alpha = args.alpha
@@ -179,8 +180,12 @@
loss_seq = []
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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