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pytensor
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18c84492
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18c84492
authored
3月 20, 2012
作者:
Olivier Delalleau
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上级
2b7ac19e
隐藏空白字符变更
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1 个修改的文件
包含
8 行增加
和
8 行删除
+8
-8
config.txt
doc/library/config.txt
+8
-8
没有找到文件。
doc/library/config.txt
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18c84492
...
@@ -519,8 +519,8 @@ import theano and print the config variable, as in:
...
@@ -519,8 +519,8 @@ import theano and print the config variable, as in:
Bool value, default: False
Bool value, default: False
Should
all SeqOptimizer object print the time taked
by each of its
Should
each SeqOptimizer object print the time taken
by each of its
optimizer. Each SeqOptimizer print something like this:
optimizer. Each SeqOptimizer print
s
something like this:
SeqOptimizer gpu_opt time 0.014s for 8/9 nodes before/after optimization
SeqOptimizer gpu_opt time 0.014s for 8/9 nodes before/after optimization
[(0.0004410743713378906, ('InputToGpuOptimizer',
[(0.0004410743713378906, ('InputToGpuOptimizer',
...
@@ -529,11 +529,11 @@ import theano and print the config variable, as in:
...
@@ -529,11 +529,11 @@ import theano and print the config variable, as in:
(0.012573957443237305, ('gpu_local_optimizations',
(0.012573957443237305, ('gpu_local_optimizations',
'EquilibriumOptimizer'))]
'EquilibriumOptimizer'))]
This print the name of the SeqOptimizer (gpu_opt), the number of
This print
s
the name of the SeqOptimizer (gpu_opt), the number of
Apply node in the graph before (8) and after (9)
Apply node
s
in the graph before (8) and after (9)
optimizations. Then a list of tuple
with 1 tuple by
optimization
optimizations. Then a list of tuple
s with 1 tuple per
optimization
in this SeqOptimizer. The first element of the tuple is the time
in this SeqOptimizer. The first element of the tuple is the time
by this optimization and then it is a tuple with the name of the
taken
by this optimization and then it is a tuple with the name of the
optimization and this class. This list is sorted from the sub
optimization and this class. This list is sorted from the sub
optimization that take
the most time to the optimization that take
optimization that take
s the most time to the optimization that takes
the le
ss
time.
the le
ast
time.
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