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new 752be1d fix superresolution example (#8106)
752be1d is described below
commit 752be1dc652d570b1e4770383c00ac3473eccc81
Author: Sheng Zha <[email protected]>
AuthorDate: Fri Sep 29 15:42:43 2017 -0700
fix superresolution example (#8106)
---
example/gluon/data.py | 4 ++--
example/gluon/super_resolution.py | 2 +-
2 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/example/gluon/data.py b/example/gluon/data.py
index 1af75f7..30c1a8c 100644
--- a/example/gluon/data.py
+++ b/example/gluon/data.py
@@ -166,9 +166,9 @@ class ImagePairIter(mx.io.DataIter):
image = mx.nd.expand_dims(mx.nd.array(image), axis=2)
target = image.copy()
for aug in self.input_aug:
- image = aug(image)[0]
+ image = aug(image)
for aug in self.target_aug:
- target = aug(target)[0]
+ target = aug(target)
data.append(image)
label.append(target)
diff --git a/example/gluon/super_resolution.py
b/example/gluon/super_resolution.py
index acc5ffa..7963590 100644
--- a/example/gluon/super_resolution.py
+++ b/example/gluon/super_resolution.py
@@ -144,7 +144,7 @@ def train(epoch, ctx):
ctx = [ctx]
net.initialize(mx.init.Orthogonal(), ctx=ctx)
# re-initialize conv4's weight to be Orthogonal
- net.conv4.collect_params().initialize(mx.init.Orthogonal(scale=1), ctx=ctx)
+ net.conv4.collect_params().initialize(mx.init.Orthogonal(scale=1),
force_reinit=True, ctx=ctx)
trainer = gluon.Trainer(net.collect_params(), 'adam', {'learning_rate':
opt.lr})
loss = gluon.loss.L2Loss()
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