When I tried to predicte some huge proteins (about 1179 aminos)
It return error like below:
XlaRuntimeError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 45026377728 bytes.
I've ran the code at Tesla A100 GPU and tried set os.environ['XLA_PYTHON_CLIENT_PREALLOCATE'] = 'false'
but it still return same error.
May I ask if you have any good advice on this? For example, predicting in parts, but I'm not sure if this will affect the prediction accuracy?
Hi Mr Bryant:
When I tried to predicte some huge proteins (about 1179 aminos) It return error like below:
XlaRuntimeError: RESOURCE_EXHAUSTED: Out of memory while trying to allocate 45026377728 bytes.
I've ran the code at Tesla A100 GPU and tried set
os.environ['XLA_PYTHON_CLIENT_PREALLOCATE'] = 'false'
but it still return same error.May I ask if you have any good advice on this? For example, predicting in parts, but I'm not sure if this will affect the prediction accuracy?
Any response would be helpful Gratefully!