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OpenDAS
SparseConvNet
Commits
7b42d166
Commit
7b42d166
authored
Oct 08, 2017
by
Ben Graham
Committed by
GitHub
Oct 08, 2017
Browse files
Update networkInNetwork.py
parent
710c4ff0
Changes
1
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1 changed file
with
3 additions
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2 deletions
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-2
PyTorch/sparseconvnet/networkInNetwork.py
PyTorch/sparseconvnet/networkInNetwork.py
+3
-2
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PyTorch/sparseconvnet/networkInNetwork.py
View file @
7b42d166
...
@@ -32,7 +32,7 @@ class NetworkInNetworkFunction(Function):
...
@@ -32,7 +32,7 @@ class NetworkInNetworkFunction(Function):
@
staticmethod
@
staticmethod
def
backward
(
ctx
,
grad_output
):
def
backward
(
ctx
,
grad_output
):
grad_input
=
Variable
(
grad_output
.
data
.
new
())
grad_input
=
Variable
(
grad_output
.
data
.
new
())
grad_weight
=
Variable
(
grad_output
.
data
.
new
().
resize_as_
(
ctx
.
weight
).
zero
())
grad_weight
=
Variable
(
grad_output
.
data
.
new
().
resize_as_
(
ctx
.
weight
).
zero
_
())
if
ctx
.
bias
is
None
:
if
ctx
.
bias
is
None
:
grad_bias
=
None
grad_bias
=
None
else
:
else
:
...
@@ -59,7 +59,8 @@ class NetworkInNetwork(Module):
...
@@ -59,7 +59,8 @@ class NetworkInNetwork(Module):
0
,
0
,
std
))
std
))
if
bias
:
if
bias
:
self
.
bias
=
Parameter
(
torch
.
Tensor
(
nOut
).
zero_
())
self
.
bias
=
Parameter
(
torch
.
Tensor
(
nOut
).
_
())
else
:
else
:
self
.
bias
=
None
self
.
bias
=
None
def
forward
(
self
,
input
):
def
forward
(
self
,
input
):
...
...
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