【以下的问题经过翻译处理】 我在本地机器上使用 Amazon Braket SDK 命令行工具,在 ml.p3.16xlarge 实例上使用 PennyLane Lightning-GPU 仿真器运行了单实例训练作业。如下 URL 所示:
https://github.com/aws/amazon-braket-examples/blob/main/examples/hybrid_jobs/5_Parallelize_training_for_QML/Parallelize_training_for_QML.ipynb
我得到了以下输出:
Traceback (most recent call last):
File "/media/user1/QML/amazon-braket-examples/examples/hybrid_jobs/5_Parallelize_training_for_QML/parallelize_training.py", line 27, in <module>
job = AwsQuantumJob.create(
File "/home/user1/.conda/envs/braket/lib/python3.10/site-packages/braket/aws/aws_quantum_job.py", line 198, in create
job_arn = aws_session.create_job(**create_job_kwargs)
File "/home/user1/.conda/envs/braket/lib/python3.10/site-packages/braket/aws/aws_session.py", line 211, in create_job
response = self.braket_client.create_job(**boto3_kwargs)
File "/home/user1/.conda/envs/braket/lib/python3.10/site-packages/botocore/client.py", line 508, in _api_call
return self._make_api_call(operation_name, kwargs)
File "/home/user1/.conda/envs/braket/lib/python3.10/site-packages/botocore/client.py", line 915, in _make_api_call
raise error_class(parsed_response, operation_name)
botocore.errorfactory.AccessDeniedException: An error occurred (AccessDeniedException) when calling the CreateJob operation: This account is not authorized to use this resource. In order to access additional resources, please contact customer support
AWS 支持告诉我,我获得了以下批准服务配额:
服务:SageMaker Notebook Instances
地区:美国东部(北弗吉尼亚州)
资源类型:训练作业实例
限制名称:ml.p3.16xlarge
限制值:2
关于 awsquantumJob.create 错误,这里是什么问题?同样的训练作业在带有 lightning.qubit 模拟器的 ml.m5.2xlarge 实例上可执行。只有带有 lightning.gpu 模拟器的 ml.p3.16xlarge 实例不起作用。