Memory leak?

[josecannete]

Hello, thank you so much for your work.

I'm trying to use the FlopCountAnalysis class but I'm not able to free the GPU memory used.

As a minimal example, without the FlopCountAnalysis I can do something like:

from transformers import AutoModel
import torch

model = AutoModel.from_pretrained('dccuchile/bert-base-spanish-wwm-uncased')
query = torch.randint(low=0, high=20, size=(8, 16))

print(torch.cuda.memory_allocated())

model.to("cuda:0")
query = query.to("cuda:0")

print(torch.cuda.memory_allocated())

del model
del query

print(torch.cuda.memory_allocated())

And that prints "0", "439937024", "0".

When using the FlopCountAnalysis:

from transformers import AutoModel
import torch
from fvcore.nn import FlopCountAnalysis

model = AutoModel.from_pretrained('dccuchile/bert-base-spanish-wwm-uncased')
query = torch.randint(low=0, high=20, size=(8, 16))

print(torch.cuda.memory_allocated())

model.to("cuda:0")
query = query.to("cuda:0")

print(torch.cuda.memory_allocated())

counter = FlopCountAnalysis(model, inputs=query)
total = counter.total()

print(torch.cuda.memory_allocated())

del model
del query
del counter
del total

print(torch.cuda.memory_allocated())

It shows "0", "439937024", "530033664", "530033664".
I expect the final memory allocated to be 0 again.

I also tried with:

gc.collect()
torch.cuda.empty_cache()

at the end, but the result was the same.

Is there a proper way to free the memory?

Thank you.

[abhishekaich27]

same issue. any inputs here @ppwwyyxx ?