From 4b67b5c8ed5566ec3030d537536282e830d87e40 Mon Sep 17 00:00:00 2001
From: natanielruiz <nruiz9@gatech.edu>
Date: 星期一, 30 十月 2017 07:15:49 +0800
Subject: [PATCH] next
---
code/test_preangles.py | 12 +-----------
1 files changed, 1 insertions(+), 11 deletions(-)
diff --git a/code/test_preangles.py b/code/test_preangles.py
index 9cdc8e3..d4a9f5f 100644
--- a/code/test_preangles.py
+++ b/code/test_preangles.py
@@ -36,13 +36,6 @@
return args
-def load_filtered_state_dict(model, snapshot):
- # By user apaszke from discuss.pytorch.org
- model_dict = model.state_dict()
- snapshot = {k: v for k, v in snapshot.items() if k in model_dict}
- model_dict.update(snapshot)
- model.load_state_dict(model_dict)
-
if __name__ == '__main__':
args = parse_args()
@@ -57,7 +50,6 @@
# Load snapshot
saved_state_dict = torch.load(snapshot_path)
model.load_state_dict(saved_state_dict)
- # load_filtered_state_dict(model, saved_state_dict)
print 'Loading data.'
@@ -105,8 +97,6 @@
l1loss = torch.nn.L1Loss(size_average=False)
-
-
for i, (images, labels, cont_labels, name) in enumerate(test_loader):
images = Variable(images).cuda(gpu)
total += cont_labels.size(0)
@@ -115,7 +105,7 @@
label_pitch = cont_labels[:,1].float()
label_roll = cont_labels[:,2].float()
- yaw, pitch, roll, angles = model(images)
+ yaw, pitch, roll = model(images)
# Binned predictions
_, yaw_bpred = torch.max(yaw.data, 1)
--
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