YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled): Google Colab and Kaggle notebooks with free GPU: Google Cloud Deep Learning VM. See GCP Quickstart Guide Amazon Deep Learning AMI. See AWS...
The send/recv APIs still don't support this, but you can probably use the RPC framework: https://pytorch.org/docs/stable/rpc.html to send arbitrary data around in a distributed environment. I seems not correct if I define a class in rpc node A and send it to rpc node B. Error list...
"InputDataConfig": [ { "ChannelName": "Train", "DataSource": { "S3DataSource": { "S3DataType": "S3DataType", "S3Uri": "S3Uri", "S3DataDistributionType": "S3DataDistributionType" } }, "ContentType": "ContentType", "CompressionType": "CompressionType", "RecordWrapperType": "Recor...