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testgroup
pytensor
Commits
6b197857
提交
6b197857
authored
7月 31, 2017
作者:
Thomas George
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
AllocEmpty now uses param
上级
8a41c6fb
显示空白字符变更
内嵌
并排
正在显示
2 个修改的文件
包含
14 行增加
和
5 行删除
+14
-5
basic_ops.py
theano/gpuarray/basic_ops.py
+4
-1
basic.py
theano/tensor/basic.py
+10
-4
没有找到文件。
theano/gpuarray/basic_ops.py
浏览文件 @
6b197857
...
@@ -970,7 +970,10 @@ class GpuAllocEmpty(HideC, AllocEmpty):
...
@@ -970,7 +970,10 @@ class GpuAllocEmpty(HideC, AllocEmpty):
def
__init__
(
self
,
dtype
,
context_name
):
def
__init__
(
self
,
dtype
,
context_name
):
self
.
dtype
=
dtype
self
.
dtype
=
dtype
self
.
context_name
=
context_name
self
.
context_name
=
context_name
self
.
typecode
=
gpuarray
.
dtype_to_typecode
(
self
.
dtype
)
@property
def
typecode
(
self
):
return
gpuarray
.
dtype_to_typecode
(
self
.
dtype
)
def
get_params
(
self
,
node
):
def
get_params
(
self
,
node
):
return
self
.
params_type
.
get_params
(
context
=
get_context
(
self
.
context_name
),
return
self
.
params_type
.
get_params
(
context
=
get_context
(
self
.
context_name
),
...
...
theano/tensor/basic.py
浏览文件 @
6b197857
...
@@ -17,6 +17,7 @@ from theano import gof
...
@@ -17,6 +17,7 @@ from theano import gof
from
theano.gof
import
Apply
,
Constant
,
Op
,
Variable
,
ParamsType
from
theano.gof
import
Apply
,
Constant
,
Op
,
Variable
,
ParamsType
from
theano.gof.type
import
Generic
from
theano.gof.type
import
Generic
from
theano.scalar
import
int32
as
int32_t
from
theano.tensor
import
elemwise
from
theano.tensor
import
elemwise
from
theano.tensor.var
import
(
AsTensorError
,
TensorVariable
,
from
theano.tensor.var
import
(
AsTensorError
,
TensorVariable
,
TensorConstant
,
TensorConstantSignature
,
TensorConstant
,
TensorConstantSignature
,
...
@@ -6632,13 +6633,18 @@ class Choose(Op):
...
@@ -6632,13 +6633,18 @@ class Choose(Op):
class
AllocEmpty
(
gof
.
Op
):
class
AllocEmpty
(
gof
.
Op
):
"""Implement Alloc on the cpu, but without initializing memory."""
"""Implement Alloc on the cpu, but without initializing memory."""
__props__
=
(
"dtype"
,)
__props__
=
(
"dtype"
,
"typecode"
)
params_type
=
ParamsType
(
typecode
=
int32_t
)
# specify the type of the data
# specify the type of the data
def
__init__
(
self
,
dtype
):
def
__init__
(
self
,
dtype
):
assert
isinstance
(
dtype
,
str
),
dtype
assert
isinstance
(
dtype
,
str
),
dtype
self
.
dtype
=
dtype
.
lower
()
self
.
dtype
=
dtype
.
lower
()
@property
def
typecode
(
self
):
return
np
.
dtype
(
self
.
dtype
)
.
num
def
make_node
(
self
,
*
shape
):
def
make_node
(
self
,
*
shape
):
shape
,
bcast
=
alloc_validate_shape
(
shape
)
shape
,
bcast
=
alloc_validate_shape
(
shape
)
otype
=
TensorType
(
dtype
=
self
.
dtype
,
broadcastable
=
bcast
)
otype
=
TensorType
(
dtype
=
self
.
dtype
,
broadcastable
=
bcast
)
...
@@ -6668,11 +6674,11 @@ class AllocEmpty(gof.Op):
...
@@ -6668,11 +6674,11 @@ class AllocEmpty(gof.Op):
out
[
0
]
=
np
.
empty
(
sh
,
dtype
=
self
.
dtype
)
out
[
0
]
=
np
.
empty
(
sh
,
dtype
=
self
.
dtype
)
def
c_code
(
self
,
node
,
name
,
inputs
,
out_
,
sub
):
def
c_code
(
self
,
node
,
name
,
inputs
,
out_
,
sub
):
dtype
=
"NPY_"
+
self
.
dtype
.
upper
()
out
,
=
out_
out
,
=
out_
fail
=
sub
[
'fail'
]
fail
=
sub
[
'fail'
]
shps
=
inputs
shps
=
inputs
nd
=
len
(
shps
)
nd
=
len
(
shps
)
params
=
sub
[
'params'
]
str
=
"npy_intp dims[
%(nd)
s];
\n
"
%
locals
()
str
=
"npy_intp dims[
%(nd)
s];
\n
"
%
locals
()
for
idx
,
sh
in
enumerate
(
shps
):
for
idx
,
sh
in
enumerate
(
shps
):
str
+=
"dims[
%(idx)
s] ="
\
str
+=
"dims[
%(idx)
s] ="
\
...
@@ -6691,7 +6697,7 @@ class AllocEmpty(gof.Op):
...
@@ -6691,7 +6697,7 @@ class AllocEmpty(gof.Op):
Py_XDECREF(
%(out)
s);
Py_XDECREF(
%(out)
s);
%(out)
s = (PyArrayObject*)PyArray_EMPTY(
%(nd)
s,
%(out)
s = (PyArrayObject*)PyArray_EMPTY(
%(nd)
s,
dims,
dims,
%(
dtype)
s
,
%(
params)
s->typecode
,
0);
0);
if (!
%(out)
s)
if (!
%(out)
s)
{
{
...
@@ -6706,7 +6712,7 @@ class AllocEmpty(gof.Op):
...
@@ -6706,7 +6712,7 @@ class AllocEmpty(gof.Op):
return
[
node
.
inputs
]
return
[
node
.
inputs
]
def
c_code_cache_version
(
self
):
def
c_code_cache_version
(
self
):
return
(
3
,)
return
(
4
,)
def
do_constant_folding
(
self
,
node
):
def
do_constant_folding
(
self
,
node
):
return
False
return
False
...
...
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