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testgroup
pytensor
Commits
6ce2678b
提交
6ce2678b
authored
2月 22, 2008
作者:
bergstrj@iro.umontreal.ca
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差异文件
producers passing tests... working in general?
上级
d4e705ea
隐藏空白字符变更
内嵌
并排
正在显示
3 个修改的文件
包含
69 行增加
和
30 行删除
+69
-30
core.py
core.py
+27
-16
lib.py
gof/lib.py
+15
-11
result.py
gof/result.py
+27
-3
没有找到文件。
core.py
浏览文件 @
6ce2678b
...
@@ -84,8 +84,6 @@ def _compile_dir():
...
@@ -84,8 +84,6 @@ def _compile_dir():
sys
.
path
.
append
(
cachedir
)
sys
.
path
.
append
(
cachedir
)
return
cachedir
return
cachedir
class
Allocated
:
"""Memory has been allocated, but contents are not the owner's output."""
class
Numpy2
(
ResultBase
):
class
Numpy2
(
ResultBase
):
"""Result storing a numpy ndarray"""
"""Result storing a numpy ndarray"""
__slots__
=
[
'_dtype'
,
'_shape'
,
]
__slots__
=
[
'_dtype'
,
'_shape'
,
]
...
@@ -122,8 +120,7 @@ class Numpy2(ResultBase):
...
@@ -122,8 +120,7 @@ class Numpy2(ResultBase):
__array_struct__
=
property
(
lambda
self
:
self
.
_data
.
__array_struct__
)
__array_struct__
=
property
(
lambda
self
:
self
.
_data
.
__array_struct__
)
def
data_alloc
(
self
):
def
data_alloc
(
self
):
self
.
data
=
numpy
.
ndarray
(
self
.
shape
,
self
.
dtype
)
return
numpy
.
ndarray
(
self
.
shape
,
self
.
dtype
)
self
.
state
=
Allocated
# self._dtype is used when self._data hasn't been set yet
# self._dtype is used when self._data hasn't been set yet
def
__dtype_get
(
self
):
def
__dtype_get
(
self
):
...
@@ -211,7 +208,7 @@ class _test_Numpy2(unittest.TestCase):
...
@@ -211,7 +208,7 @@ class _test_Numpy2(unittest.TestCase):
self
.
failUnless
(
r
.
data
is
None
)
self
.
failUnless
(
r
.
data
is
None
)
self
.
failUnless
(
r
.
shape
==
(
3
,
3
))
self
.
failUnless
(
r
.
shape
==
(
3
,
3
))
self
.
failUnless
(
str
(
r
.
dtype
)
==
'int32'
)
self
.
failUnless
(
str
(
r
.
dtype
)
==
'int32'
)
r
.
data_
alloc
()
r
.
alloc
()
self
.
failUnless
(
isinstance
(
r
.
data
,
numpy
.
ndarray
))
self
.
failUnless
(
isinstance
(
r
.
data
,
numpy
.
ndarray
))
self
.
failUnless
(
r
.
shape
==
(
3
,
3
))
self
.
failUnless
(
r
.
shape
==
(
3
,
3
))
self
.
failUnless
(
str
(
r
.
dtype
)
==
'int32'
)
self
.
failUnless
(
str
(
r
.
dtype
)
==
'int32'
)
...
@@ -443,6 +440,8 @@ class omega_op(gof.PythonOp):
...
@@ -443,6 +440,8 @@ class omega_op(gof.PythonOp):
def
gen_outputs
(
self
):
def
gen_outputs
(
self
):
return
[
Numpy2
()
for
i
in
xrange
(
self
.
nout
)]
return
[
Numpy2
()
for
i
in
xrange
(
self
.
nout
)]
#TODO: use the version of this code that is in grad.py
# requires: eliminating module dependency cycles
def
update_gradient
(
self
,
grad_d
):
def
update_gradient
(
self
,
grad_d
):
"""Call self.grad() and add the result to grad_d
"""Call self.grad() and add the result to grad_d
...
@@ -861,13 +860,25 @@ def scalar_switch(normal_f, scalar_f, scalar_f_reverse = None):
...
@@ -861,13 +860,25 @@ def scalar_switch(normal_f, scalar_f, scalar_f_reverse = None):
from
grad
import
Undefined
from
grad
import
Undefined
def
wrap_producer
(
f
):
def
wrap_producer
(
f
):
class
producer
(
omega_op
):
class
producer
(
gof
.
lib
.
NewPythonOp
):
def
__init__
(
self
,
shape
,
dtype
,
order
):
assert
order
==
'C'
#TODO: let Numpy2 support this
if
current_mode
()
==
'build_eval'
:
gof
.
lib
.
NewPythonOp
.
__init__
(
self
,
[
input
(
shape
),
input
(
dtype
),
input
(
order
)],
[
Numpy2
(
data
=
f
(
shape
,
dtype
))])
elif
current_mode
()
==
'build'
:
gof
.
lib
.
NewPythonOp
.
__init__
(
self
,
[
input
(
shape
),
input
(
dtype
),
input
(
order
)],
[
Numpy2
(
data
=
(
shape
,
dtype
))])
def
gen_outputs
(
self
):
return
[
Numpy2
()
for
i
in
xrange
(
self
.
nout
)]
impl
=
f
impl
=
f
def
grad
(
*
args
):
def
grad
(
*
args
):
return
[
Undefined
]
*
(
len
(
args
)
-
1
)
return
[
Undefined
]
*
(
len
(
args
)
-
1
)
producer
.
__name__
=
f
.
__name__
producer
.
__name__
=
f
.
__name__
def
ret
(
dim
,
dtype
=
'float
'
,
order
=
'C'
):
def
ret
(
shape
,
dtype
=
'float64
'
,
order
=
'C'
):
return
producer
(
dim
,
dtype
,
order
)
return
producer
(
shape
,
dtype
,
order
)
.
out
return
ret
return
ret
ndarray
=
wrap_producer
(
numpy
.
ndarray
)
ndarray
=
wrap_producer
(
numpy
.
ndarray
)
...
@@ -880,19 +891,19 @@ class _testCase_producer_build_mode(unittest.TestCase):
...
@@ -880,19 +891,19 @@ class _testCase_producer_build_mode(unittest.TestCase):
"""producer in build mode"""
"""producer in build mode"""
build_mode
()
build_mode
()
a
=
ones
(
4
)
a
=
ones
(
4
)
self
.
failUnless
(
a
.
data
is
None
)
self
.
failUnless
(
a
.
data
is
None
,
a
.
data
)
self
.
failUnless
(
a
.
state
is
gof
.
result
.
Empty
)
self
.
failUnless
(
a
.
state
is
gof
.
result
.
Empty
,
a
.
state
)
self
.
failUnless
(
a
.
shape
==
(
4
,)
)
self
.
failUnless
(
a
.
shape
==
4
,
a
.
shape
)
self
.
failUnless
(
a
.
dtype
==
'float64'
)
self
.
failUnless
(
str
(
a
.
dtype
)
==
'float64'
,
a
.
dtype
)
pop_mode
()
pop_mode
()
def
test_1
(
self
):
def
test_1
(
self
):
"""producer in build_eval mode"""
"""producer in build_eval mode"""
build_eval_mode
()
build_eval_mode
()
a
=
ones
(
4
)
a
=
ones
(
4
)
self
.
failUnless
((
a
.
data
==
numpy
.
ones
(
4
))
.
all
())
self
.
failUnless
((
a
.
data
==
numpy
.
ones
(
4
))
.
all
()
,
a
.
data
)
self
.
failUnless
(
a
.
state
is
gof
.
result
.
Computed
)
self
.
failUnless
(
a
.
state
is
gof
.
result
.
Computed
,
a
.
state
)
self
.
failUnless
(
a
.
shape
==
(
4
,))
self
.
failUnless
(
a
.
shape
==
(
4
,)
,
a
.
shape
)
self
.
failUnless
(
a
.
dtype
==
'float64'
)
self
.
failUnless
(
str
(
a
.
dtype
)
==
'float64'
,
a
.
dtype
)
pop_mode
()
pop_mode
()
...
...
gof/lib.py
浏览文件 @
6ce2678b
...
@@ -345,7 +345,16 @@ class DestroyHandler(features.Listener, features.Constraint, features.Orderings)
...
@@ -345,7 +345,16 @@ class DestroyHandler(features.Listener, features.Constraint, features.Orderings)
return
ords
return
ords
class
PythonOp
(
Op
):
class
NewPythonOp
(
Op
):
def
view_map
(
self
):
return
{}
def
destroy_map
(
self
):
return
{}
class
PythonOp
(
NewPythonOp
):
__metaclass__
=
ClsInit
__metaclass__
=
ClsInit
...
@@ -377,7 +386,7 @@ class PythonOp(Op):
...
@@ -377,7 +386,7 @@ class PythonOp(Op):
return
op
.
outputs
return
op
.
outputs
def
__init__
(
self
,
*
inputs
):
def
__init__
(
self
,
*
inputs
):
Op
.
__init__
(
self
,
inputs
,
self
.
gen_outputs
())
NewPython
Op
.
__init__
(
self
,
inputs
,
self
.
gen_outputs
())
def
__validate__
(
self
):
def
__validate__
(
self
):
return
all
([
is_result
(
i
)
for
i
in
self
.
inputs
])
return
all
([
is_result
(
i
)
for
i
in
self
.
inputs
])
...
@@ -385,10 +394,6 @@ class PythonOp(Op):
...
@@ -385,10 +394,6 @@ class PythonOp(Op):
def
gen_outputs
(
self
):
def
gen_outputs
(
self
):
raise
AbstractFunctionError
()
raise
AbstractFunctionError
()
def
view_map
(
self
):
return
{}
def
destroy_map
(
self
):
return
{}
@staticmethod
@staticmethod
def
root_inputs
(
input
):
def
root_inputs
(
input
):
owner
=
input
.
owner
owner
=
input
.
owner
...
@@ -445,21 +450,20 @@ class PythonOp(Op):
...
@@ -445,21 +450,20 @@ class PythonOp(Op):
else
:
else
:
results
=
self
.
_impl
()
results
=
self
.
_impl
()
if
self
.
nout
==
1
:
if
self
.
nout
==
1
:
self
.
out
.
set_value
(
results
)
self
.
out
.
data
=
results
else
:
else
:
assert
self
.
nout
==
len
(
results
)
assert
self
.
nout
==
len
(
results
)
for
result
,
output
in
zip
(
results
,
self
.
outputs
):
for
result
,
output
in
zip
(
results
,
self
.
outputs
):
output
.
set_value
(
result
)
output
.
data
=
result
def
_perform
(
self
):
def
_perform
(
self
):
results
=
self
.
_impl
()
results
=
self
.
_impl
()
if
self
.
nout
==
1
:
if
self
.
nout
==
1
:
self
.
out
.
set_value
(
results
)
self
.
out
.
data
=
results
# self.outputs[0].data = results
else
:
else
:
assert
self
.
nout
==
len
(
results
)
assert
self
.
nout
==
len
(
results
)
for
result
,
output
in
zip
(
results
,
self
.
outputs
):
for
result
,
output
in
zip
(
results
,
self
.
outputs
):
output
.
set_value
(
result
)
output
.
data
=
result
def
_perform_inplace
(
self
):
def
_perform_inplace
(
self
):
results
=
self
.
_impl
()
results
=
self
.
_impl
()
...
...
gof/result.py
浏览文件 @
6ce2678b
...
@@ -37,8 +37,9 @@ class BrokenLinkError(GofError):
...
@@ -37,8 +37,9 @@ class BrokenLinkError(GofError):
# ResultBase state keywords
# ResultBase state keywords
class
Empty
:
pass
class
Empty
:
"""Memory has not been allocated"""
class
Computed
:
pass
class
Allocated
:
"""Memory has been allocated, contents are not the owner's output."""
class
Computed
:
"""Memory has been allocated, contents are the owner's output."""
############################
############################
...
@@ -63,11 +64,16 @@ class ResultBase(object):
...
@@ -63,11 +64,16 @@ class ResultBase(object):
role - (rw)
role - (rw)
owner - (ro)
owner - (ro)
index - (ro)
index - (ro)
data - (rw)
data - (rw)
: calls data_filter when setting
replaced - (rw) : True iff _role is BrokenLink
replaced - (rw) : True iff _role is BrokenLink
Methods:
alloc() - create storage in data, suitable for use by C ops.
(calls data_alloc)
Abstract Methods:
Abstract Methods:
data_filter
data_filter
data_alloc
Notes (from previous implementation):
Notes (from previous implementation):
...
@@ -184,6 +190,24 @@ class ResultBase(object):
...
@@ -184,6 +190,24 @@ class ResultBase(object):
"""
"""
raise
ResultBase
.
AbstractFunction
()
raise
ResultBase
.
AbstractFunction
()
#
# alloc
#
def
alloc
(
self
):
"""Create self.data from data_alloc, and set state to Allocated"""
self
.
data
=
self
.
data_alloc
()
#might raise exception
self
.
state
=
Allocated
def
data_alloc
(
self
):
"""(abstract) Return an appropriate _data based on self.
If a subclass overrides this function, then that overriding
implementation will be used in alloc() to produce a data object.
"""
raise
ResultBase
.
AbstractFunction
()
#
#
# replaced
# replaced
...
...
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