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体验新版 GitCode,发现更多精彩内容 >>
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947b7528
编写于
10月 15, 2020
作者:
Y
Yiqun Liu
提交者:
GitHub
10月 15, 2020
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电子邮件补丁
差异文件
Reimplement paddle.utils.install_check. (#27771)
上级
b808979b
变更
4
显示空白变更内容
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并排
Showing
4 changed file
with
194 addition
and
3 deletion
+194
-3
python/paddle/fluid/install_check.py
python/paddle/fluid/install_check.py
+1
-1
python/paddle/fluid/tests/unittests/test_install_check.py
python/paddle/fluid/tests/unittests/test_install_check.py
+5
-1
python/paddle/utils/__init__.py
python/paddle/utils/__init__.py
+2
-1
python/paddle/utils/install_check.py
python/paddle/utils/install_check.py
+186
-0
未找到文件。
python/paddle/fluid/install_check.py
浏览文件 @
947b7528
...
...
@@ -49,7 +49,7 @@ def run_check():
This func should not be called only if you need to verify installation
Examples:
.. code-block: python
.. code-block:
:
python
import paddle.fluid as fluid
fluid.install_check.run_check()
...
...
python/paddle/fluid/tests/unittests/test_install_check.py
浏览文件 @
947b7528
...
...
@@ -14,13 +14,17 @@
from
__future__
import
print_function
import
unittest
import
paddle
import
paddle.fluid
as
fluid
class
TestInstallCheck
(
unittest
.
TestCase
):
def
test_
install_check
(
self
):
def
test_
paddle_fluid
(
self
):
fluid
.
install_check
.
run_check
()
def
test_paddle_utils
(
self
):
paddle
.
utils
.
run_check
()
if
__name__
==
'__main__'
:
unittest
.
main
()
python/paddle/utils/__init__.py
浏览文件 @
947b7528
...
...
@@ -17,13 +17,14 @@ from .profiler import Profiler
from
.profiler
import
get_profiler
from
.deprecated
import
deprecated
from
.lazy_import
import
try_import
from
.install_check
import
run_check
from
..fluid.framework
import
unique_name
from
..fluid.framework
import
load_op_library
from
..fluid.framework
import
require_version
from
.
import
download
__all__
=
[
'dump_config'
,
'deprecated'
,
'download'
]
__all__
=
[
'dump_config'
,
'deprecated'
,
'download'
,
'run_check'
]
#TODO: define new api under this directory
__all__
+=
[
'unique_name'
,
'load_op_library'
,
'require_version'
]
python/paddle/utils/install_check.py
0 → 100644
浏览文件 @
947b7528
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from
__future__
import
absolute_import
import
os
import
logging
import
numpy
as
np
import
paddle
__all__
=
[
'run_check'
]
def
_simple_network
():
"""
Define a simple network composed by a single linear layer.
"""
input
=
paddle
.
static
.
data
(
name
=
"input"
,
shape
=
[
None
,
2
,
2
],
dtype
=
"float32"
)
weight
=
paddle
.
create_parameter
(
shape
=
[
2
,
3
],
dtype
=
"float32"
,
attr
=
paddle
.
ParamAttr
(
initializer
=
paddle
.
nn
.
initializer
.
Constant
(
0.1
)))
bias
=
paddle
.
create_parameter
(
shape
=
[
3
],
dtype
=
"float32"
)
linear_out
=
paddle
.
nn
.
functional
.
linear
(
x
=
input
,
weight
=
weight
,
bias
=
bias
)
out
=
paddle
.
tensor
.
sum
(
linear_out
)
return
input
,
out
,
weight
def
_prepare_data
(
device_count
):
"""
Prepare feeding data for simple network. The shape is [device_count, 2, 2].
Args:
device_count (int): The number of devices.
"""
# Prepare the feeding data.
np_input_single
=
np
.
array
([[
1.0
,
2.0
],
[
3.0
,
4.0
]],
dtype
=
np
.
float32
)
if
device_count
==
1
:
return
np_input_single
.
reshape
(
device_count
,
2
,
2
)
else
:
input_list
=
[]
for
i
in
range
(
device_count
):
input_list
.
append
(
np_input_single
)
np_input_muti
=
np
.
array
(
input_list
)
np_input_muti
=
np_input_muti
.
reshape
(
device_count
,
2
,
2
)
return
np_input_muti
def
_is_cuda_available
():
"""
Check whether CUDA is avaiable.
"""
try
:
assert
len
(
paddle
.
static
.
cuda_places
())
>
0
return
True
except
Exception
as
e
:
logging
.
warning
(
"You are using GPU version PaddlePaddle, but there is no GPU "
"detected on your machine. Maybe CUDA devices is not set properly."
"
\n
Original Error is {}"
.
format
(
e
))
return
False
def
_run_static_single
(
use_cuda
):
"""
Testing the simple network with executor running directly, using one CPU/GPU.
Args:
use_cuda (bool): Whether running with CUDA.
"""
paddle
.
enable_static
()
with
paddle
.
static
.
scope_guard
(
paddle
.
static
.
Scope
()):
train_prog
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
startup_prog
.
random_seed
=
1
with
paddle
.
static
.
program_guard
(
train_prog
,
startup_prog
):
input
,
out
,
weight
=
_simple_network
()
param_grads
=
paddle
.
static
.
append_backward
(
out
,
parameter_list
=
[
weight
.
name
])[
0
]
exe
=
paddle
.
static
.
Executor
(
paddle
.
CUDAPlace
(
0
)
if
use_cuda
else
paddle
.
CPUPlace
())
exe
.
run
(
startup_prog
)
exe
.
run
(
train_prog
,
feed
=
{
input
.
name
:
_prepare_data
(
1
)},
fetch_list
=
[
out
.
name
,
param_grads
[
1
].
name
])
paddle
.
disable_static
()
def
_run_static_parallel
(
use_cuda
,
device_list
):
"""
Testing the simple network in data parallel mode, using multiple CPU/GPU.
Args:
use_cuda (bool): Whether running with CUDA.
device_list (int): The specified devices.
"""
paddle
.
enable_static
()
with
paddle
.
static
.
scope_guard
(
paddle
.
static
.
Scope
()):
train_prog
=
paddle
.
static
.
Program
()
startup_prog
=
paddle
.
static
.
Program
()
with
paddle
.
static
.
program_guard
(
train_prog
,
startup_prog
):
input
,
out
,
_
=
_simple_network
()
loss
=
paddle
.
tensor
.
mean
(
out
)
loss
.
persistable
=
True
paddle
.
optimizer
.
SGD
(
learning_rate
=
0.01
).
minimize
(
loss
)
compiled_prog
=
paddle
.
static
.
CompiledProgram
(
train_prog
).
with_data_parallel
(
loss_name
=
loss
.
name
,
places
=
device_list
)
exe
=
paddle
.
static
.
Executor
(
paddle
.
CUDAPlace
(
0
)
if
use_cuda
else
paddle
.
CPUPlace
())
exe
.
run
(
startup_prog
)
exe
.
run
(
compiled_prog
,
feed
=
{
input
.
name
:
_prepare_data
(
len
(
device_list
))},
fetch_list
=
[
loss
.
name
])
paddle
.
disable_static
()
def
run_check
():
"""
Check whether PaddlePaddle is installed correctly and running successfully
on your system.
Examples:
.. code-block:: python
import paddle
paddle.utils.run_check()
# Running verify PaddlePaddle program ...
# W1010 07:21:14.972093 8321 device_context.cc:338] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 11.0, Runtime API Version: 10.1
# W1010 07:21:14.979770 8321 device_context.cc:346] device: 0, cuDNN Version: 7.6.
# PaddlePaddle works well on 1 GPU.
# PaddlePaddle works well on 8 GPUs.
# PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.
"""
print
(
"Running verify PaddlePaddle program ... "
)
use_cuda
=
_is_cuda_available
()
if
use_cuda
:
device_str
=
"GPU"
device_list
=
paddle
.
static
.
cuda_places
()
else
:
device_str
=
"CPU"
device_list
=
paddle
.
static
.
cpu_places
(
device_count
=
2
)
device_count
=
len
(
device_list
)
_run_static_single
(
use_cuda
)
print
(
"PaddlePaddle works well on 1 {}."
.
format
(
device_str
))
try
:
_run_static_parallel
(
use_cuda
,
device_list
)
print
(
"PaddlePaddle works well on {} {}s."
.
format
(
device_count
,
device_str
))
print
(
"PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now."
)
except
Exception
as
e
:
logging
.
warning
(
"PaddlePaddle meets some problem with {} {}s. This may be caused by:"
"
\n
1. There is not enough GPUs visible on your system"
"
\n
2. Some GPUs are occupied by other process now"
"
\n
3. NVIDIA-NCCL2 is not installed correctly on your system. Please follow instruction on https://github.com/NVIDIA/nccl-tests "
"
\n
to test your NCCL, or reinstall it following https://docs.nvidia.com/deeplearning/sdk/nccl-install-guide/index.html"
.
format
(
device_count
,
device_str
))
logging
.
warning
(
"
\n
Original Error is: {}"
.
format
(
e
))
print
(
"PaddlePaddle is installed successfully ONLY for single {}! "
"Let's start deep learning with PaddlePaddle now."
.
format
(
device_str
))
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