Resource Limit Exceeded (ml.p2.xlarge)

Hello,

I was trying to run the following code but got the error "An error occurred (ResourceLimitExceeded) when calling the CreateTrainingJob operation: The requested resource training-job/ml.p2.xlarge is not available in this region"

code:
from sagemaker.pytorch import PyTorch
estimator = PyTorch(entry_point="train.py",
source_dir="train",
role=role,
framework_version='0.4.0',
train_instance_count=1,
train_instance_type='ml.p2.xlarge',
hyperparameters={
'epochs': 10,
'hidden_dim': 200,
})

Also, for current AWS, I did NOT find ml.p2.xlarge instance in EC2 request limit increase. Did AWS change something? My region is US N.California, and I did make a request to increase on-demand P instances. Any help?

Thansk!

Start with the SageMaker PyTorch entry point and the CreateTrainingJob error in the issue, then check whether ml.p2.xlarge is available and quota-supported in US N.California. Done means identifying whether the example or AWS regional capacity is responsible and documenting a confirmed resolution.

Written by the indexing model from the issue text.