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体验新版 GitCode,发现更多精彩内容 >>
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提交
e59a693e
编写于
4月 02, 2022
作者:
L
Leo Chen
提交者:
GitHub
4月 02, 2022
浏览文件
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浏览文件
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电子邮件补丁
差异文件
enable new-executor on windows to test it (#41301)
* enable new-executor on windows to test it * add message * fix ut
上级
a5e00bb7
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
41 addition
and
14 deletion
+41
-14
paddle/phi/kernels/gpu/range_kernel.cu
paddle/phi/kernels/gpu/range_kernel.cu
+16
-3
python/paddle/fluid/executor.py
python/paddle/fluid/executor.py
+12
-1
python/paddle/fluid/tests/unittests/check_nan_inf_base.py
python/paddle/fluid/tests/unittests/check_nan_inf_base.py
+8
-7
python/paddle/fluid/tests/unittests/test_nan_inf.py
python/paddle/fluid/tests/unittests/test_nan_inf.py
+5
-3
未找到文件。
paddle/phi/kernels/gpu/range_kernel.cu
浏览文件 @
e59a693e
...
...
@@ -21,6 +21,19 @@
namespace
phi
{
template
<
typename
T
,
typename
Context
>
inline
T
GetValue
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
x
)
{
T
value
=
static_cast
<
T
>
(
0
);
if
(
x
.
place
()
!=
CPUPlace
())
{
DenseTensor
cpu_x
;
Copy
(
dev_ctx
,
x
,
CPUPlace
(),
true
,
&
cpu_x
);
value
=
cpu_x
.
data
<
T
>
()[
0
];
}
else
{
value
=
x
.
data
<
T
>
()[
0
];
}
return
value
;
}
template
<
typename
T
>
__global__
void
Range
(
T
start
,
T
step
,
int64_t
size
,
T
*
out
)
{
CUDA_KERNEL_LOOP
(
index
,
size
)
{
out
[
index
]
=
start
+
step
*
index
;
}
...
...
@@ -32,9 +45,9 @@ void RangeKernel(const Context& dev_ctx,
const
DenseTensor
&
end
,
const
DenseTensor
&
step
,
DenseTensor
*
out
)
{
T
start_value
=
start
.
data
<
T
>
()[
0
]
;
T
end_value
=
end
.
data
<
T
>
()[
0
]
;
T
step_value
=
step
.
data
<
T
>
()[
0
]
;
T
start_value
=
GetValue
<
T
,
Context
>
(
dev_ctx
,
start
)
;
T
end_value
=
GetValue
<
T
,
Context
>
(
dev_ctx
,
end
)
;
T
step_value
=
GetValue
<
T
,
Context
>
(
dev_ctx
,
step
)
;
int64_t
size
=
0
;
phi
::
funcs
::
GetSize
(
start_value
,
end_value
,
step_value
,
&
size
);
...
...
python/paddle/fluid/executor.py
浏览文件 @
e59a693e
...
...
@@ -394,9 +394,20 @@ def _is_enable_standalone_executor():
Whether to use experimental executor `StandaloneExecutor`.
"""
flag
=
False
env_val
=
os
.
environ
.
get
(
'FLAGS_USE_STANDALONE_EXECUTOR'
,
None
)
# NOTE(zhiqiu): enable STANDALONE_EXECUTOR on windows platform by default
# It should be enabled on all platform in the future.
import
platform
sysstr
=
platform
.
system
().
lower
()
if
sysstr
==
'windows'
:
env_val
=
os
.
environ
.
get
(
'FLAGS_USE_STANDALONE_EXECUTOR'
,
1
)
else
:
env_val
=
os
.
environ
.
get
(
'FLAGS_USE_STANDALONE_EXECUTOR'
,
None
)
if
env_val
in
[
1
,
'1'
,
True
,
'True'
,
'true'
]:
flag
=
True
warnings
.
warn
(
"STANDALONE_EXECUTOR is enabled."
)
return
flag
...
...
python/paddle/fluid/tests/unittests/check_nan_inf_base.py
浏览文件 @
e59a693e
...
...
@@ -103,6 +103,14 @@ def check(use_cuda):
if
__name__
==
'__main__'
:
try
:
check
(
use_cuda
=
False
)
assert
False
except
Exception
as
e
:
print
(
e
)
print
(
type
(
e
))
assert
type
(
e
)
==
RuntimeError
if
core
.
is_compiled_with_cuda
():
try
:
check
(
use_cuda
=
True
)
...
...
@@ -113,10 +121,3 @@ if __name__ == '__main__':
# Note. Enforce in cuda kernel may not catch in paddle, and
# Exception type will be RuntimeError
assert
type
(
e
)
==
OSError
or
type
(
e
)
==
RuntimeError
try
:
check
(
use_cuda
=
False
)
assert
False
except
Exception
as
e
:
print
(
e
)
print
(
type
(
e
))
assert
type
(
e
)
==
RuntimeError
python/paddle/fluid/tests/unittests/test_nan_inf.py
浏览文件 @
e59a693e
...
...
@@ -47,10 +47,12 @@ class TestNanInf(unittest.TestCase):
print
(
out
)
print
(
err
)
assert
returncode
==
0
# in python3, type(out+err) is 'bytes', need use encode
assert
(
out
+
err
).
find
(
'There are `nan` or `inf` in tensor'
.
encode
())
!=
-
1
if
paddle
.
fluid
.
core
.
is_compiled_with_cuda
():
assert
(
out
+
err
).
find
(
'find nan or inf==='
.
encode
())
!=
-
1
else
:
assert
(
out
+
err
).
find
(
'There are `nan` or `inf` in tensor'
.
encode
())
!=
-
1
def
test_nan_inf_in_static_mode
(
self
):
self
.
_python_interp
+=
" check_nan_inf_base.py"
...
...
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