如何解决ray.init抛出列表索引超出范围错误
我正在使用ID Gene Tier Consequence
1314 ABC TIER1 missense
1314 PKD1 TIER1 frameshift
6245 BJD TIER1 splice_site_variant
7631 PKD2 TIER1 missense
5336 PKD1 TIER3 missense
1399 PKD1 TIER2 non-coding
版。运行0.8.6时，在connect的{{1}}函数中发生错误。我能够跟踪该错误，并且发生在以下部分。
worker.py第ray.init()行假定if mode == SCRIPT_MODE:
# Add the directory containing the script that is running to the Python
# paths of the workers. Also add the current directory. Note that this
# assumes that the directory structures on the machines in the clusters
# are the same.
script_directory = os.path.abspath(os.path.dirname(sys.argv[0]))
current_directory = os.path.abspath(os.path.curdir)
worker.run_function_on_all_workers(
lambda worker_info: sys.path.insert(1,script_directory))
worker.run_function_on_all_workers(
lambda worker_info: sys.path.insert(1,current_directory))
# TODO(rkn): Here we first export functions to run,then remote
# functions. The order matters. For example,one of the functions to
# run may set the Python path,which is needed to import a module used
# to define a remote function. We may want to change the order to
# simply be the order in which the exports were defined on the driver.
# In addition,we will need to retain the ability to decide what the
# first few exports are (mostly to set the Python path). Additionally,# note that the first exports to be defined on the driver will be the
# ones defined in separate modules that are imported by the driver.
# Export cached functions_to_run.
for function in worker.cached_functions_to_run:
worker.run_function_on_all_workers(function)
worker.cached_functions_to_run = None
必须为非空，但在我的情况下为空。
我禁用了将script_directory = os.path.abspath(os.path.dirname(sys.argv[0]))复制到工作人员的功能，看来一切正常。正确的进行方式应该是什么？
版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 dio@foxmail.com 举报，一经查实，本站将立刻删除。