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Shashank Suhas
seminar-breakout
Commits
5deebdcb
Commit
5deebdcb
authored
Oct 31, 2016
by
Yuxin Wu
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fix imports
parent
0b2d375d
Changes
4
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4 changed files
with
4 additions
and
8 deletions
+4
-8
tensorpack/RL/expreplay.py
tensorpack/RL/expreplay.py
+0
-5
tensorpack/callbacks/base.py
tensorpack/callbacks/base.py
+1
-1
tensorpack/callbacks/inference.py
tensorpack/callbacks/inference.py
+1
-1
tensorpack/train/base.py
tensorpack/train/base.py
+2
-1
No files found.
tensorpack/RL/expreplay.py
View file @
5deebdcb
...
@@ -33,7 +33,6 @@ class ExpReplay(DataFlow, Callback):
...
@@ -33,7 +33,6 @@ class ExpReplay(DataFlow, Callback):
player
,
player
,
batch_size
=
32
,
batch_size
=
32
,
memory_size
=
1e6
,
memory_size
=
1e6
,
populate_size
=
None
,
# deprecated
init_memory_size
=
50000
,
init_memory_size
=
50000
,
exploration
=
1
,
exploration
=
1
,
end_exploration
=
0.1
,
end_exploration
=
0.1
,
...
@@ -50,10 +49,6 @@ class ExpReplay(DataFlow, Callback):
...
@@ -50,10 +49,6 @@ class ExpReplay(DataFlow, Callback):
:param update_frequency: number of new transitions to add to memory
:param update_frequency: number of new transitions to add to memory
after sampling a batch of transitions for training
after sampling a batch of transitions for training
"""
"""
# XXX back-compat
if
populate_size
is
not
None
:
logger
.
warn
(
"populate_size in ExpReplay is deprecated in favor of init_memory_size"
)
init_memory_size
=
populate_size
init_memory_size
=
int
(
init_memory_size
)
init_memory_size
=
int
(
init_memory_size
)
for
k
,
v
in
locals
()
.
items
():
for
k
,
v
in
locals
()
.
items
():
...
...
tensorpack/callbacks/base.py
View file @
5deebdcb
...
@@ -28,7 +28,7 @@ class Callback(object):
...
@@ -28,7 +28,7 @@ class Callback(object):
Called before finalizing the graph.
Called before finalizing the graph.
Use this callback to setup some ops used in the callback.
Use this callback to setup some ops used in the callback.
:param trainer:
a
:class:`train.Trainer` instance
:param trainer: :class:`train.Trainer` instance
"""
"""
self
.
trainer
=
trainer
self
.
trainer
=
trainer
self
.
graph
=
tf
.
get_default_graph
()
self
.
graph
=
tf
.
get_default_graph
()
...
...
tensorpack/callbacks/inference.py
View file @
5deebdcb
...
@@ -13,7 +13,7 @@ from six.moves import zip, map
...
@@ -13,7 +13,7 @@ from six.moves import zip, map
from
..dataflow
import
DataFlow
from
..dataflow
import
DataFlow
from
..utils
import
get_tqdm_kwargs
,
logger
from
..utils
import
get_tqdm_kwargs
,
logger
from
..utils.stat
import
RatioCounter
,
BinaryStatistics
from
..utils.stat
import
RatioCounter
,
BinaryStatistics
from
..tfutils
import
get_op_tensor_name
from
..tfutils
import
get_op_tensor_name
,
get_op_var_name
from
.base
import
Callback
from
.base
import
Callback
__all__
=
[
'InferenceRunner'
,
'ClassificationError'
,
__all__
=
[
'InferenceRunner'
,
'ClassificationError'
,
...
...
tensorpack/train/base.py
View file @
5deebdcb
...
@@ -5,6 +5,7 @@
...
@@ -5,6 +5,7 @@
from
abc
import
ABCMeta
,
abstractmethod
from
abc
import
ABCMeta
,
abstractmethod
import
signal
import
signal
import
re
import
re
import
weakref
from
six.moves
import
range
from
six.moves
import
range
import
tqdm
import
tqdm
...
@@ -108,7 +109,7 @@ class Trainer(object):
...
@@ -108,7 +109,7 @@ class Trainer(object):
get_global_step_var
()
# ensure there is such var, before finalizing the graph
get_global_step_var
()
# ensure there is such var, before finalizing the graph
logger
.
info
(
"Setup callbacks ..."
)
logger
.
info
(
"Setup callbacks ..."
)
callbacks
=
self
.
config
.
callbacks
callbacks
=
self
.
config
.
callbacks
callbacks
.
setup_graph
(
self
)
# TODO use weakref instead?
callbacks
.
setup_graph
(
weakref
.
proxy
(
self
))
self
.
_init_summary
()
self
.
_init_summary
()
logger
.
info
(
"Initializing graph variables ..."
)
logger
.
info
(
"Initializing graph variables ..."
)
...
...
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