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PaddlePaddle / PARL

A high-performance distributed training framework for Reinforcement Learning
https://parl.readthedocs.io/
Apache License 2.0
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train.py导入parl时报错怎么解决 #1120

Open Pingpongdragon opened 11 months ago

Pingpongdragon commented 11 months ago

Traceback (most recent call last): File "train.py", line 18, in import parl File "/home/ljy/.local/lib/python3.8/site-packages/parl/init.py", line 54, in from parl.remote import remote_class, connect File "/home/ljy/.local/lib/python3.8/site-packages/parl/remote/init.py", line 19, in from parl.remote.remote_decorator import * File "/home/ljy/.local/lib/python3.8/site-packages/parl/remote/remote_decorator.py", line 20, in from parl.remote.remote_wrapper import RemoteWrapper File "/home/ljy/.local/lib/python3.8/site-packages/parl/remote/remote_wrapper.py", line 22, in from parl.remote.communication import loads_argument, loads_return,\ File "/home/ljy/.local/lib/python3.8/site-packages/parl/remote/communication.py", line 38, in context = pyarrow.default_serialization_context() File "/home/ljy/.local/lib/python3.8/site-packages/pyarrow/init.py", line 316, in getattr raise AttributeError( AttributeError: module 'pyarrow' has no attribute 'default_serialization_context'

TomorrowIsAnOtherDay commented 11 months ago

hello，请提供你的系统环境信息，python 环境、系统版本、parl版本等

Pingpongdragon commented 11 months ago

ubuntu linux系统,版本号20.04 ，python版本3.8.10，parl导入未成功 图片 图片 图片

1zeryu commented 10 months ago

我也是这个问题： 系统环境：HOSTNAME=464884fd017f NOTVISIBLE=in users profile NV_LIBNPP_VERSION=11.7.3.21-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.50-1 NVIDIA_VISIBLE_DEVICES=all NV_NVPROF_VERSION=11.7.50-1 NV_LIBCUSPARSE_VERSION=11.7.3.50-1 NVIDIA_PRODUCT_NAME=CUDA NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.1.25-1 NCCL_VERSION=2.13.4-1 PWD=/home/ysocr NVARCH=x86_64 HOME=/root NV_LIBCUSPARSE_DEV_VERSION=11.7.3.50-1 NVIDIA_CUDA_END_OF_LIFE=1 NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1 NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_CUDA_LIB_VERSION=11.7.0-1 NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.3.21-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 LIBRARY_PATH=/usr/local/cuda/lib64/stubs NV_NVTX_VERSION=11.7.50-1 NV_LIBCUBLAS_VERSION=11.10.1.25-1 NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.1.25-1 NV_CUDNN_VERSION=8.5.0.96 NV_CUDA_CUDART_DEV_VERSION=11.7.60-1 TERM=xterm NV_NVML_DEV_VERSION=11.7.50-1 CUDA_VERSION=11.7.0 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7 NVIDIA_DRIVER_CAPABILITIES=compute,utility SHLVL=1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7 NVIDIA_REQUIRE_CUDA=cuda>=11.7 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=510,driver<511 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511 NV_LIBNPP_DEV_VERSION=11.7.3.21-1 NV_CUDA_CUDART_VERSION=11.7.60-1 NV_CUDNN_PACKAGE_NAME=libcudnn8 PATH=/home/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1 NV_CUDNN_PACKAGE=libcudnn8=8.5.0.96-1+cuda11.7 Python: 3.8.0 parl版本：2.2.1

natureLanguageQing commented 9 months ago

我也遇到了这个问题 default_serialization_context

natureLanguageQing commented 9 months ago

pip install -U pyarrow==8.0.0

natureLanguageQing commented 9 months ago

建议官方修改为

  context = pyarrow.default_serialization_context()