RuntimeError: Placeholder storage has not been allocated on MPS device!
I am trying to run the basic fine-tuning a pretrained model code from the huggingface page (Fine-tune a pretrained model) and am getting a runtime error:RuntimeError: Placeholder storage has not been allocated on MPS device!I know this is something to do with the device Pytorch is running on but I have no idea how to solve it.Any help is appreciated!
2023-06-15T18:06:22Z
training_args = TrainingArguments(output_dir="test_trainer", use_mps_device=True)Fixed the problem for me.
2023-06-15T21:37:28Z
I have tried this before, but the model outputs a bunch of errors.Screenshot 2023-06-15 at 22.35.54698×330 5.56 KBAny help on this?
2023-06-15T21:38:07Z
Screenshot 2023-06-15 at 22.36.541240×330 11.9 KB
2023-06-19T09:07:55Z
Thanks! this worked for me as well. I think it has an issue with the pytorch nightly build for apple silicon
2023-07-06T00:34:52Z
This worked for me, too. I was finishing the tutorial series to work out the development environment for tomorrow’s work and hit that MPS issue.@pmoraessolution solved it.Context:Apple M1 MBPPyTorch in a conda (MiniForge3) environmentIt took nearly 9 minutes over three epochs, and I used the small training and test datasets. The eval loss dropped each epoch, and accuracy increased. It worked.
2023-07-09T13:19:07Z
Where this goes?
2023-08-09T16:11:15Z
I’m having exact same problem but - while running ControlNet via Automatic11111, I wish I knew where to add this line
2023-09-30T10:28:59Z
Would also really love some help resolving the same issueusing  :Automatic 1111 + ControlNet v1.1.410 + Lineart feature.I have some understanding of editing code but not a programmer ( so please tell us where to paste the code a) which file - which directory etc -  or is it a command via terminal?The error appears when trying to generate an image from lineart __ ( ControlNet ) on a pertained model -Mac: RuntimeError: Placeholder storage has not been allocated on MPS device __Please explain in lamen terms - what piece of code needs to be replaced and where. I’ve seen other posts but they all relate to M1 Macs. If this issue has been resolved elsewhere for an Intel based Mac  please share the link.Thanks in Advance
2023-10-04T17:50:38Z
try edit COMMANDLINE_ARGS=“–skip-torch-cuda-test --no-half --use-cpu all” to COMMANDLINE_ARGS=“–skip-torch-cuda-test --no-half”
2023-10-31T13:54:24Z
fixed it with: device=“mps”
2023-11-18T07:30:47Z
Can someone please do a YouTube video on this? I’m using Pinokio controllnet is saying the same thing. “placeholder storage has not been allocated on mps device!”
2024-03-28T03:16:33Z
this is worked for meif torch.backends.mps.is_built():
    device = torch.device("mps")  # for mac use

#test prediction

text='//module 2 to 1 mux'

input_ids = tokenizer(text, return_tensors="pt").input_ids.to(device)

generated_ids = model.generate(input_ids, max_length=128).to(device)

print(tokenizer.decode(generated_ids[0], skip_special_tokens=True))
2024-07-06T14:33:33Z
I am still facing the issue and nothing seems to work. My device is apple M1 chip.Is this the problem with all apple m1chips devices?
2024-07-06T14:42:08Z
this is my error.…[2262]no_grad_embedding_renorm(weight, input, max_norm, norm_type) →2264return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse) RuntimeError: Placeholder storage has not been allocated on MPS device!
2024-07-06T14:54:35Z
Can u share the posts where it worked for apple M1, cant seem to find one and i am facing the same error
2024-07-07T17:08:01Z
@pdevanshiAlso faced the same issue, for endless hoursGot it to work by passing in no_cuda=truebelieve it has something to do with how Trainer handles the models and tensorsBecause my model reverts back to cpu after initialising the Trainer class though being preded by  model.to(torch.device(“mps”))By passing in the the no_cuda, it uses cpu  in all scenarios & avoids the mps sagatraining_args = TrainingArguments(
        output_dir='results',
        overwrite_output_dir=True,
        num_train_epochs=1,
        per_device_train_batch_size=1,
        save_steps=10_000,
        save_total_limit=2,
        no_cuda=True
    )
2024-07-08T06:40:39Z
Thank you very much, I will try this
2024-07-09T18:02:55Z
it’s a bug,line 2157 training_args.pydevice = torch.device("cuda:0" if torch.cuda.is_available()  else "cpu" )it changed to CPU even though it was mps
2024-07-16T11:55:08Z
Thank you that solved the issue for me, and enabled me to train using the apple sillicone GPU by changing the last part of the line to “mps” (instead of “cpu”)
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