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testgroup
pytensor
Commits
03cc25ea
提交
03cc25ea
authored
7月 20, 2017
作者:
abergeron
提交者:
GitHub
7月 20, 2017
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差异文件
Merge pull request #6163 from botev/master
Small issues fixed.
上级
810a4165
11b138b0
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
13 行增加
和
9 行删除
+13
-9
neighbours.py
theano/gpuarray/neighbours.py
+0
-9
opt.py
theano/gpuarray/opt.py
+10
-0
slinalg.py
theano/tensor/slinalg.py
+3
-0
没有找到文件。
theano/gpuarray/neighbours.py
浏览文件 @
03cc25ea
...
@@ -12,7 +12,6 @@ except ImportError:
...
@@ -12,7 +12,6 @@ except ImportError:
from
.basic_ops
import
(
as_gpuarray_variable
,
GpuKernelBase
,
Kernel
,
from
.basic_ops
import
(
as_gpuarray_variable
,
GpuKernelBase
,
Kernel
,
infer_context_name
)
infer_context_name
)
from
.opt
import
register_opt2
,
op_lifter
,
register_opt
from
.type
import
GpuArrayType
,
gpu_context_type
from
.type
import
GpuArrayType
,
gpu_context_type
...
@@ -578,11 +577,3 @@ class GpuImages2Neibs(GpuKernelBase, Images2Neibs, Op):
...
@@ -578,11 +577,3 @@ class GpuImages2Neibs(GpuKernelBase, Images2Neibs, Op):
def
perform
(
self
,
node
,
inp
,
out
,
params
):
def
perform
(
self
,
node
,
inp
,
out
,
params
):
# Disable the perform method from the CPU version
# Disable the perform method from the CPU version
Op
.
perform
(
self
,
node
,
inp
,
out
,
params
)
Op
.
perform
(
self
,
node
,
inp
,
out
,
params
)
@register_opt
(
'fast_compile'
)
@op_lifter
([
Images2Neibs
])
@register_opt2
([
Images2Neibs
],
'fast_compile'
)
def
local_gpua_images2neibs
(
op
,
context_name
,
inputs
,
outputs
):
if
op
.
mode
in
[
'valid'
,
'half'
,
'full'
,
'ignore_borders'
,
'wrap_centered'
]:
return
GpuImages2Neibs
(
op
.
mode
)
theano/gpuarray/opt.py
浏览文件 @
03cc25ea
...
@@ -33,6 +33,7 @@ from theano.tensor.nnet.abstract_conv import (BaseAbstractConv,
...
@@ -33,6 +33,7 @@ from theano.tensor.nnet.abstract_conv import (BaseAbstractConv,
AbstractConv3d
,
AbstractConv3d
,
AbstractConv3d_gradWeights
,
AbstractConv3d_gradWeights
,
AbstractConv3d_gradInputs
)
AbstractConv3d_gradInputs
)
from
theano.tensor.nnet.neighbours
import
Images2Neibs
import
theano.tensor.nlinalg
as
nlinalg
import
theano.tensor.nlinalg
as
nlinalg
import
theano.tensor.signal.pool
as
pool
import
theano.tensor.signal.pool
as
pool
import
theano.tensor.slinalg
as
slinalg
import
theano.tensor.slinalg
as
slinalg
...
@@ -76,6 +77,7 @@ from .reduction import GpuMaxAndArgmax
...
@@ -76,6 +77,7 @@ from .reduction import GpuMaxAndArgmax
from
.linalg
import
(
GpuCusolverSolve
,
MATRIX_STRUCTURES_SOLVE
,
GpuCholesky
,
from
.linalg
import
(
GpuCusolverSolve
,
MATRIX_STRUCTURES_SOLVE
,
GpuCholesky
,
cusolver_available
,
GpuMagmaMatrixInverse
,
gpu_svd
,
cusolver_available
,
GpuMagmaMatrixInverse
,
gpu_svd
,
GpuMagmaCholesky
,
gpu_qr
,
GpuMagmaEigh
)
GpuMagmaCholesky
,
gpu_qr
,
GpuMagmaEigh
)
from
.neighbours
import
GpuImages2Neibs
_logger
=
logging
.
getLogger
(
"theano.gpuarray.opt"
)
_logger
=
logging
.
getLogger
(
"theano.gpuarray.opt"
)
...
@@ -2086,6 +2088,14 @@ def local_gpu_maxandargmax(op, context_name, inputs, outputs):
...
@@ -2086,6 +2088,14 @@ def local_gpu_maxandargmax(op, context_name, inputs, outputs):
return
op
return
op
@register_opt
(
'fast_compile'
)
@op_lifter
([
Images2Neibs
])
@register_opt2
([
Images2Neibs
],
'fast_compile'
)
def
local_gpua_images2neibs
(
op
,
context_name
,
inputs
,
outputs
):
if
op
.
mode
in
[
'valid'
,
'half'
,
'full'
,
'ignore_borders'
,
'wrap_centered'
]:
return
GpuImages2Neibs
(
op
.
mode
)
# solve
# solve
@register_opt
(
'fast_compile'
)
@register_opt
(
'fast_compile'
)
@op_lifter
([
slinalg
.
Solve
])
@op_lifter
([
slinalg
.
Solve
])
...
...
theano/tensor/slinalg.py
浏览文件 @
03cc25ea
...
@@ -325,6 +325,9 @@ solve_lower_triangular = Solve(A_structure='lower_triangular', lower=True)
...
@@ -325,6 +325,9 @@ solve_lower_triangular = Solve(A_structure='lower_triangular', lower=True)
"""Optimized implementation of :func:`theano.tensor.slinalg.solve` when A is lower triangular."""
"""Optimized implementation of :func:`theano.tensor.slinalg.solve` when A is lower triangular."""
solve_upper_triangular
=
Solve
(
A_structure
=
'upper_triangular'
,
lower
=
False
)
solve_upper_triangular
=
Solve
(
A_structure
=
'upper_triangular'
,
lower
=
False
)
"""Optimized implementation of :func:`theano.tensor.slinalg.solve` when A is upper triangular."""
"""Optimized implementation of :func:`theano.tensor.slinalg.solve` when A is upper triangular."""
# symmetric solves
solve_symmetric
=
Solve
(
A_structure
=
'symmetric'
)
"""Optimized implementation of :func:`theano.tensor.slinalg.solve` when A is symmetric."""
# TODO: Optimizations to replace multiplication by matrix inverse
# TODO: Optimizations to replace multiplication by matrix inverse
# with solve() Op (still unwritten)
# with solve() Op (still unwritten)
...
...
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