Config for TPU pod #239
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Config for TPU pod #239
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I ran `train.py` on a TPU pod v3-256 and got the following error:
ValueError: TPUConfig.num_shards is not set correctly ....
Found in https://cloud.google.com/tpu/docs/training-on-tpu-pods#providing_the_tpu_name_and_region_to_tpuclusterresolver that
> For single device training, you can specify either the TPU name or an IP address, for example: `grpc://1.2.3.4:8470`.
> For TPU Pods you must use the TPU name so that TensorFlow can discover the IP addresses of all the hosts available for training distribution.
So, in the case of a TPU pod, setting `master` doesn't work. I just tried setting `cluster` and it worked, all 32 hosts in the TPU pod were detected and used correctly.
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I ran
train.pyon a TPU pod v3-256 and got the following error:Found in https://cloud.google.com/tpu/docs/training-on-tpu-pods#providing_the_tpu_name_and_region_to_tpuclusterresolver that
So, in the case of a TPU pod, setting
masterdoesn't work. I just tried settingclusterand it worked, all 32 hosts in the TPU pod were detected and used correctly.