[PaddleV3] 修复对于 Paddle 版本的检查 #1064

megemini · 2024-10-13T10:24:49Z

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修复对于 Paddle 版本的检查

依赖 PR：#1061

下面的文字请保留在PR说明的最后面，并在提完PR后，根据实际情况勾选确认以下情况

Please check the follow step before merging this pull request

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Review all the code diff by yourself
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Details about your pull request, releated issues

If this PR add new model support, please update model_zoo.md and add model to out test model zoos(@wjj19950828)

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…to fix_version_check

This reverts commit 1eab32a.

megemini · 2024-10-17T06:28:40Z

Update 20241017

test_benchmark 测试每个模型之前，先生成一个 Failed 的 result.txt 文件

由于 result.txt 是在 pd_infer.py 中生成的，而这个文件如果一开始便导入 from paddle import fluid ，则直接报错，不会再生成 Failed 的 result.txt 文件，而 CI 最后获取不到 result.txt 认为测试通过，因此，需要再测试前先生成一个 Failed 的 result.txt 文件。
test_autoscan 使用 logger 而不是 logging 记录日志

python 的 logging 是个单例，很容易在复杂的项目中被修改定义，如日志级别。这次升级之后 import paddle 会修改 logging ，导致日志无法输出到 log 中，也就无法记录测试的正确与否，故此，修改为 logger 进行日志记录。

另外，X2paddle-autoscantest 这个 CI 貌似卡住了？我在本地的 docker 中测试没啥问题:

这是 onnx 的：

日志：


===================onnx==================
The num of test_file is: 18
test_auto_scan_abs.py:Run Successfully!
test_auto_scan_averagepool_10.py:Run Successfully!
test_auto_scan_averagepool_7.py:Run Successfully!
test_auto_scan_compare_ops.py:Run Successfully!
test_auto_scan_conv2d.py:Run Successfully!
test_auto_scan_elementwise_ops.py:Run Successfully!
test_auto_scan_equal.py:Run Successfully!
test_auto_scan_hardsigmoid.py:Run Successfully!
test_auto_scan_isinf.py:Run Successfully!
test_auto_scan_isnan.py:Run Successfully!
test_auto_scan_logical_ops.py:Run Successfully!
test_auto_scan_mod.py:Run Successfully!
test_auto_scan_nonzero.py:Run Successfully!
test_auto_scan_reduce_ops.py:Run Successfully!
test_auto_scan_sum_7.py:Run Successfully!
test_auto_scan_sum_8.py:Run Successfully!
test_auto_scan_unsqueeze_13.py:Run Successfully!
test_auto_scan_unsqueeze_7.py:Run Successfully!

这是 pytorch 的：

里面有个 logs/tmp.log 是我自己调试用的～

日志：


===================torch-===================
The num of test_file is: 7
test_auto_scan_amax.py:Run Successfully!
test_auto_scan_conv1d.py:Run Successfully!
test_auto_scan_conv2d.py:Run Successfully!
test_auto_scan_conv3d.py:Run Successfully!
test_auto_scan_conv_transpose1d.py:Run Successfully!
test_auto_scan_conv_transpose2d.py:Run Successfully!
test_auto_scan_topk.py:Run Successfully!

@luotao1 帮忙看看，是 CI 的问题还是啥哩？

megemini · 2024-10-17T07:22:50Z

能不能用 pip freeze > XXX.txt 看一下环境？我这边是

absl-py==2.1.0
aiohappyeyeballs==2.4.3
aiohttp==3.10.9
aiosignal==1.3.1
allure-pytest==2.13.5
allure-python-commons==2.13.5
anyio==4.0.0
appdirs==1.4.4
astor==0.8.1
astroid==2.9.3
astunparse==1.6.3
async-timeout==4.0.3
attrs==23.1.0
audioread==3.0.1
autograd==1.4
Babel==2.13.1
bce-python-sdk==0.8.92
blinker==1.7.0
certifi==2019.11.28
cffi==1.16.0
cfgv==3.4.0
chardet==3.0.4
clang-format==13.0.0
click==8.1.7
cloudpickle==3.0.0
coloredlogs==15.0.1
contourpy==1.2.0
coverage==5.5
cpplint==1.6.0
cryptography==41.0.5
cycler==0.12.1
dbus-python==1.2.16
decorator==5.1.1
Deprecated==1.2.14
distlib==0.3.7
distro==1.8.0
distro-info==0.23+ubuntu1.1
docker-pycreds==0.4.0
easyocr==1.7.2
exceptiongroup==1.1.3
filelock==3.13.1
Flask==3.0.0
flask-babel==4.0.0
flatbuffers==24.3.25
fonttools==4.44.0
frozenlist==1.4.1
fsspec==2024.9.0
future==0.18.3
gast==0.6.0
gitdb==4.0.11
GitPython==3.1.40
google-pasta==0.2.0
GPUtil==1.4.0
grpcio==1.66.2
gym==0.26.2
gym-notices==0.0.8
h11==0.14.0
h5py==3.12.1
httpcore==1.0.1
httpx==0.25.1
huggingface-hub==0.25.1
humanfriendly==10.0
hypothesis==6.88.3
identify==2.5.31
idna==2.8
imageio==2.35.1
importlib-metadata==6.8.0
importlib-resources==6.1.1
inflect==7.4.0
iniconfig==2.0.0
ipykernel==4.6.0
ipython==5.3.0
isort==5.12.0
itsdangerous==2.1.2
Jinja2==3.1.2
joblib==1.3.2
jupyter_client==8.6.0
jupyter_core==5.5.0
keras==3.6.0
kiwisolver==1.4.5
kornia==0.5.11
kornia_rs==0.1.5
lazy-object-proxy==1.9.0
lazy_loader==0.4
libclang==18.1.1
librosa==0.10.2.post1
lightning-utilities==0.11.7
llvmlite==0.41.1
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==2.1.3
matplotlib==3.8.1
mccabe==0.6.1
mdurl==0.1.2
ml-dtypes==0.3.2
mock==5.1.0
more-itertools==10.5.0
mpmath==1.3.0
msgpack==1.1.0
multidict==6.1.0
namex==0.0.8
networkx==3.2.1
ninja==1.11.1.1
nodeenv==1.8.0
nose==1.3.7
numba==0.58.1
numpy==1.26.1
nvidia-cublas-cu11==11.11.3.6
nvidia-cublas-cu12==12.1.3.1
nvidia-cuda-cupti-cu11==11.8.87
nvidia-cuda-cupti-cu12==12.1.105
nvidia-cuda-nvrtc-cu11==11.8.89
nvidia-cuda-nvrtc-cu12==12.1.105
nvidia-cuda-runtime-cu11==11.8.89
nvidia-cuda-runtime-cu12==12.1.105
nvidia-cudnn-cu11==8.7.0.84
nvidia-cudnn-cu12==9.1.0.70
nvidia-cufft-cu11==10.9.0.58
nvidia-cufft-cu12==11.0.2.54
nvidia-curand-cu11==10.3.0.86
nvidia-curand-cu12==10.3.2.106
nvidia-cusolver-cu11==11.4.1.48
nvidia-cusolver-cu12==11.4.5.107
nvidia-cusparse-cu11==11.7.5.86
nvidia-cusparse-cu12==12.1.0.106
nvidia-nccl-cu11==2.19.3
nvidia-nccl-cu12==2.20.5
nvidia-nvjitlink-cu12==12.6.77
nvidia-nvtx-cu11==11.8.86
nvidia-nvtx-cu12==12.1.105
onnx==1.17.0
onnxruntime==1.19.2
opencv-python==4.6.0.66
opencv-python-headless==4.10.0.84
opt-einsum==3.3.0
optree==0.13.0
packaging==23.2
paddle2onnx==1.1.0
paddlepaddle-gpu==3.0.0b1
pandas==2.1.2
parameterized==0.9.0
pathtools==0.1.2
pexpect==4.8.0
pickleshare==0.7.5
Pillow==10.1.0
platformdirs==3.11.0
pluggy==1.3.0
pooch==1.8.0
pre-commit==2.17.0
prettytable==3.9.0
prompt-toolkit==1.0.18
propcache==0.2.0
protobuf==3.20.2
psutil==5.9.6
ptyprocess==0.7.0
pyclipper==1.3.0.post5
pycparser==2.21
pycrypto==2.6.1
pycryptodome==3.19.0
pygame==2.5.2
PyGithub==2.1.1
Pygments==2.16.1
PyGObject==3.36.0
PyJWT==2.8.0
pylint==2.12.0
PyNaCl==1.5.0
pynvml==11.5.3
pyparsing==3.1.1
pypinyin==0.53.0
pytest==7.4.3
python-apt==2.0.1+ubuntu0.20.4.1
python-bidi==0.6.0
python-dateutil==2.8.2
pytorch-lightning==2.4.0
pytz==2023.3.post1
PyYAML==6.0.1
pyzmq==25.1.1
rarfile==4.1
regex==2024.9.11
requests==2.22.0
requests-unixsocket==0.2.0
resampy==0.4.2
rich==13.9.2
safetensors==0.4.5
scikit-image==0.24.0
scikit-learn==1.3.2
scipy==1.11.3
sentry-sdk==1.34.0
setproctitle==1.3.3
shapely==2.0.6
simplegeneric==0.8.1
six==1.14.0
smmap==5.0.1
sniffio==1.3.0
sortedcontainers==2.4.0
soundfile==0.12.1
soxr==0.5.0.post1
sympy==1.13.3
tensorboard==2.16.2
tensorboard-data-server==0.7.2
tensorflow==2.16.1
tensorflow-io-gcs-filesystem==0.37.1
termcolor==2.5.0
threadpoolctl==3.2.0
tifffile==2024.8.30
timm==1.0.9
tokenizers==0.20.0
toml==0.10.2
tomli==2.0.1
torch==2.4.1
torchaudio==2.4.1
torchmetrics==1.4.2
torchvision==0.19.1
tornado==6.3.3
tqdm==4.66.5
traitlets==5.13.0
transformers==4.45.2
treelib==1.7.0
triton==3.0.0
typeguard==4.3.0
typing_extensions==4.12.2
tzdata==2023.3
ubelt==1.3.3
unattended-upgrades==0.1
Unidecode==1.3.8
urllib3==2.0.7
virtualenv==20.26.6
visualdl==2.5.3
wandb==0.15.12
wcwidth==0.2.9
Werkzeug==3.0.1
wget==3.2
wrapt==1.13.3
-e git+ssh://[email protected]/megemini/X2Paddle.git@017d3d718488c8a22e12fe9724a3ed844962f648#egg=x2paddle
xdoctest==1.1.1
XlsxWriter==3.0.9
yarl==1.14.0
zipp==3.17.0

luotao1 · 2024-10-17T12:06:55Z

absl-py==2.1.0
aiohappyeyeballs==2.4.3
aiohttp==3.10.10
aiosignal==1.3.1
allure-pytest==2.13.5
allure-python-commons==2.13.5
anyio==4.0.0
appdirs==1.4.4
astor==0.8.1
astroid==2.9.3
astunparse==1.6.3
async-timeout==4.0.3
attrs==23.1.0
audioread==3.0.1
autograd==1.4
Babel==2.13.1
bce-python-sdk==0.8.92
blinker==1.7.0
certifi==2019.11.28
cffi==1.16.0
cfgv==3.4.0
chardet==3.0.4
clang-format==13.0.0
click==8.1.7
cloudpickle==3.0.0
coloredlogs==15.0.1
contourpy==1.2.0
coverage==5.5
cpplint==1.6.0
cryptography==41.0.5
cycler==0.12.1
dbus-python==1.2.16
decorator==5.1.1
Deprecated==1.2.14
distlib==0.3.7
distro==1.8.0
distro-info==0.23+ubuntu1.1
docker-pycreds==0.4.0
easyocr==1.7.2
exceptiongroup==1.1.3
filelock==3.13.1
Flask==3.0.0
flask-babel==4.0.0
flatbuffers==24.3.25
fonttools==4.44.0
frozenlist==1.4.1
fsspec==2024.9.0
future==0.18.3
gast==0.6.0
gitdb==4.0.11
GitPython==3.1.40
google-pasta==0.2.0
GPUtil==1.4.0
grpcio==1.67.0
gym==0.26.2
gym-notices==0.0.8
h11==0.14.0
h5py==3.12.1
httpcore==1.0.1
httpx==0.25.1
huggingface-hub==0.25.2
humanfriendly==10.0
hypothesis==6.88.3
identify==2.5.31
idna==2.8
imageio==2.36.0
importlib-metadata==6.8.0
importlib-resources==6.1.1
iniconfig==2.0.0
ipykernel==4.6.0
ipython==5.3.0
isort==5.12.0
itsdangerous==2.1.2
Jinja2==3.1.2
joblib==1.3.2
jupyter_client==8.6.0
jupyter_core==5.5.0
keras==3.6.0
kiwisolver==1.4.5
kornia==0.5.11
lazy-object-proxy==1.9.0
lazy_loader==0.4
libclang==18.1.1
librosa==0.8.1
lightning-utilities==0.11.8
llvmlite==0.41.1
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==2.1.3
matplotlib==3.8.1
mccabe==0.6.1
mdurl==0.1.2
ml-dtypes==0.3.2
mock==5.1.0
mpmath==1.3.0
multidict==6.1.0
namex==0.0.8
networkx==3.2.1
ninja==1.11.1.1
nodeenv==1.8.0
nose==1.3.7
numba==0.58.1
numpy==1.26.1
nvidia-cublas-cu11==11.11.3.6
nvidia-cublas-cu12==12.1.3.1
nvidia-cuda-cupti-cu11==11.8.87
nvidia-cuda-cupti-cu12==12.1.105
nvidia-cuda-nvrtc-cu11==11.8.89
nvidia-cuda-nvrtc-cu12==12.1.105
nvidia-cuda-runtime-cu11==11.8.89
nvidia-cuda-runtime-cu12==12.1.105
nvidia-cudnn-cu11==8.7.0.84
nvidia-cudnn-cu12==9.1.0.70
nvidia-cufft-cu11==10.9.0.58
nvidia-cufft-cu12==11.0.2.54
nvidia-curand-cu11==10.3.0.86
nvidia-curand-cu12==10.3.2.106
nvidia-cusolver-cu11==11.4.1.48
nvidia-cusolver-cu12==11.4.5.107
nvidia-cusparse-cu11==11.7.5.86
nvidia-cusparse-cu12==12.1.0.106
nvidia-nccl-cu11==2.19.3
nvidia-nccl-cu12==2.20.5
nvidia-nvjitlink-cu12==12.6.77
nvidia-nvtx-cu11==11.8.86
nvidia-nvtx-cu12==12.1.105
onnx==1.17.0
onnxruntime==1.19.2
opencv-python==4.6.0.66
opencv-python-headless==4.10.0.84
opt-einsum==3.3.0
optree==0.13.0
packaging==23.2
paddle2onnx==1.1.0
paddlepaddle-gpu==3.0.0b1
pandas==2.1.2
parameterized==0.9.0
pathtools==0.1.2
pexpect==4.8.0
pickleshare==0.7.5
Pillow==10.1.0
platformdirs==3.11.0
pluggy==1.3.0
pooch==1.8.0
pre-commit==2.17.0
prettytable==3.9.0
prompt-toolkit==1.0.18
propcache==0.2.0
protobuf==3.20.2
psutil==5.9.6
ptyprocess==0.7.0
pyclipper==1.3.0.post5
pycparser==2.21
pycrypto==2.6.1
pycryptodome==3.19.0
pygame==2.5.2
PyGithub==2.1.1
Pygments==2.16.1
PyGObject==3.36.0
PyJWT==2.8.0
pylint==2.12.0
PyNaCl==1.5.0
pynvml==11.5.3
pyparsing==3.1.1
pytest==7.4.3
python-apt==2.0.1+ubuntu0.20.4.1
python-bidi==0.6.3
python-dateutil==2.8.2
pytorch-lightning==2.4.0
pytz==2023.3.post1
PyYAML==6.0.1
pyzmq==25.1.1
rarfile==4.1
regex==2024.9.11
requests==2.22.0
requests-unixsocket==0.2.0
resampy==0.4.2
rich==13.9.2
safetensors==0.4.5
scikit-image==0.24.0
scikit-learn==1.3.2
scipy==1.11.3
sentry-sdk==1.34.0
setproctitle==1.3.3
shapely==2.0.6
simplegeneric==0.8.1
six==1.14.0
smmap==5.0.1
sniffio==1.3.0
sortedcontainers==2.4.0
soundfile==0.12.1
sympy==1.13.3
tensorboard==2.16.2
tensorboard-data-server==0.7.2
tensorflow==2.16.1
tensorflow-io-gcs-filesystem==0.37.1
termcolor==2.5.0
threadpoolctl==3.2.0
tifffile==2024.8.30
timm==1.0.10
tokenizers==0.20.1
toml==0.10.2
tomli==2.0.1
torch==2.4.1
torchaudio==2.4.1
torchmetrics==1.4.3
torchvision==0.19.1
tornado==6.3.3
tqdm==4.66.5
traitlets==5.13.0
transformers==4.45.2
treelib==1.7.0
triton==3.0.0
typing_extensions==4.8.0
tzdata==2023.3
ubelt==1.3.3
unattended-upgrades==0.1
urllib3==2.0.7
virtualenv==20.26.6
visualdl==2.5.3
wandb==0.15.12
wcwidth==0.2.9
Werkzeug==3.0.1
wget==3.2
wrapt==1.13.3
xdoctest==1.1.1
XlsxWriter==3.0.9
yarl==1.15.3
zipp==3.17.0

megemini · 2024-10-17T16:20:37Z

用 logger 调试了一下，日志中：

X2Paddle/test_autoscan/onnx/onnxbase.py 中调用 create_predictor 卡住了～

可以看到，第一行日志打印出来了，但是 predictor = create_predictor(config) 卡住了，后面的 logger.info(">>> predictor.get_input_names...") 没有运行到～

这个 from paddle.inference import create_predictor 是从 paddle.base.core 中导入的，这个接口应该是 c++ 暴露出来的，目前暂时定位到这里～总感觉跟环境有点关系 ... ...

megemini · 2024-10-18T06:44:13Z

Update 20241018

目前基本确认，是 create_predictor 创建的时候卡住了，应该是跟环境有关系，之所以分析与环境有关，我这边实验了一下：

单独拎出来导致卡住的那段代码：

import paddle
from paddle.inference import create_predictor, PrecisionType
from paddle.inference import Config
import os

if __name__ == '__main__':
    # paddle_model_path = os.path.join(
    #     self.pwd, self.name, self.name + '_' + str(ver) +
    #     '_paddle/inference_model/model.pdmodel')
    # paddle_param_path = os.path.join(
    #     self.pwd, self.name, self.name + '_' + str(ver) +
    #     '_paddle/inference_model/model.pdiparams')

    paddle_model_path = '/home/shun/Documents/Projects/tmp/Abs_7_paddle/inference_model/model.pdmodel'
    paddle_param_path = '/home/shun/Documents/Projects/tmp/Abs_7_paddle/inference_model/model.pdiparams'

    config = Config()
    config.set_prog_file(paddle_model_path)
    if os.path.exists(paddle_param_path):
        config.set_params_file(paddle_param_path)

    # initial GPU memory(M), device ID
    config.enable_use_gpu(200, 0)
    # optimize graph and fuse op
    config.switch_ir_optim(False)
    config.enable_memory_optim()
    # disable feed, fetch OP, needed by zero_copy_run
    config.switch_use_feed_fetch_ops(False)
    config.disable_glog_info()
    pass_builder = config.pass_builder()

    predictor = create_predictor(config)

    print('-'*30, 'OK')

上面的模型 '/home/shun/Documents/Projects/tmp/Abs_7_paddle/inference_model/model.pdmodel' 是通过 test_autoscan/onnx/test_auto_scan_abs.py 生成的。

注意：直接运行这个脚本，模型会在运行结束后被删掉，因此需要打断点，然后中途把模型拷贝出来～

运行这段代码，在我本地 paddle 的 dev 环境，以及 paddle 2.4.2.post117 中运行，都顺利通过：

第一行是 dev 环境，后面那个是 2.4.2.post117 环境～

结合提到的 create_predictor 的那个 issue PaddlePaddle/Paddle#57139 ，可以推断：paddle 在某些环境下导入 inference 模型，会卡住～

目前 CI 中，我让 self.run_dynamic = True，即，paddle 导入之前导出的非 inference 模型，然后与 onnx 或 pytorch 比对，如此，CI 可以通过～

与我本地运行的结果与数量一致～

这种依赖环境的问题确实比较难定位，可以看看底层是不是在编译的时候有什么依赖～

@luotao1

另外，之所以 test_benchmark 没遇到，一是可能，目前我都是本地验证，所以没问题；二是可能，test_benchmark 基本都是动态模型测试，也不涉及～

luotao1 · 2024-10-18T06:58:27Z

@gzydsmz 请帮忙推动下 #1064 (comment) 问题的解决。

现在可以稳定复现，在 CI机器的 Docker镜像里 paddlepaddle/x2paddle:latest-dev-cuda11.8-cudnn8.6-trt8.5-gcc82，安装Paddle 3.0 beta版本，导入inference 模型，会卡住。镜像见：https://github.com/PaddlePaddle/X2Paddle/tree/develop/docker，最小测试代码见上面评论区。
2.4.2的镜像中不会出现该问题。

vivienfanghuagood · 2024-10-18T08:41:18Z

删掉 config.disable_glog_info() 这样, export GLOG_v=3 看下具体的日志

megemini · 2024-10-18T12:43:03Z

删掉 config.disable_glog_info() 这样, export GLOG_v=3 看下具体的日志

我另开一个 PR #1077 来跟踪这个问题～

不过，貌似现在 CI 一直在排队，等有调试结果了再知会您～

感谢！

[Fix] version check

5a6729f

This was referenced Oct 17, 2024

[PaddleV3] 修改 Dockerfile 为 Paddle 3.0.0beta 并添加 CI 测试的 blacklist #1061

Merged

[PaddleV3] x2paddle 套件能力建设 Tracking Issue #1060

Closed

megemini added 8 commits October 17, 2024 11:36

Merge branch 'develop' of https://github.com/PaddlePaddle/X2Paddle in…

ac2d866

…to fix_version_check

[Fix] log_summary with black.list

6e985f8

[Debug] test for black.list

ac279ba

[Fix] make default result is Failed

990ab2f

[Restore] black.list

d8df85d

[Fix] use logger instead of logging

75312b9

[Debug] make max_examples=1

1eab32a

Revert "[Debug] make max_examples=1"

1068e83

This reverts commit 1eab32a.

[Debug] add logger

82eeca4

luotao1 added the contributor External developers label Oct 17, 2024

[Debug] print log

c907537

megemini added 8 commits October 17, 2024 22:15

[Debug] echo bash

2329907

[Debug] echo output

3b474a7

[Debug] logger

9370681

[Debug] logger onnx2paddle

1a677be

[Debug] logger after model converted

5cdf140

[Debug] logger _mk_paddle_res

70f75b8

[Debug] logger _mk_paddle_res gpu memory

c5ac74e

[Debug] logger _mk_paddle_res more

c0c95dd

megemini added 2 commits October 18, 2024 13:50

[Debug] force run dynamic

7700a01

[Debug] force run dynamic torhc

657b372

luotao1 merged commit 4236c2a into PaddlePaddle:develop Oct 18, 2024
4 checks passed

megemini mentioned this pull request Oct 18, 2024

[Debug][PaddleV3] 测试 inference 模型导入卡住的问题 #1077

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[PaddleV3] 修复对于 Paddle 版本的检查 #1064

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megemini commented Oct 13, 2024 •

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Update 20241017

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