(xturing) ➜ llama git:(main) python llama_lora.py
WARNING: CUDA is not available, using CPU instead, can be very slow
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source?
CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...
dlopen(/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so, 0x0006): tried: '/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file), '/System/Volumes/Preboot/Cryptexes/OS/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (no such file), '/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file)
trioton not installed.
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 33/33 [00:09<00:00, 3.41it/s]
trainable params: 4194304 || all params: 6742609920 || trainable%: 0.06220594176090199
trainable params: 4194304 || all params: 6742609920 || trainable%: 0.06220594176090199
GPU available: True (mps), used: False
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
HPU available: False, using: 0 HPUs
WARNING: CUDA is not available, using CPU instead, can be very slow
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source?
CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...
dlopen(/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so, 0x0006): tried: '/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file), '/System/Volumes/Preboot/Cryptexes/OS/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (no such file), '/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so' (not a mach-o file)
trioton not installed.
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 33/33 [00:10<00:00, 3.26it/s]
trainable params: 4194304 || all params: 6742609920 || trainable%: 0.06220594176090199
trainable params: 4194304 || all params: 6742609920 || trainable%: 0.06220594176090199
GPU available: True (mps), used: False
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
HPU available: False, using: 0 HPUs
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/spawn.py", line 125, in _main
prepare(preparation_data)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/runpy.py", line 289, in run_path
return _run_module_code(code, init_globals, run_name,
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/runpy.py", line 96, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/Users/user/works/personal/xturing/examples/llama/llama_lora.py", line 8, in <module>
model.finetune(dataset=instruction_dataset)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/xturing/models/causal.py", line 84, in finetune
trainer.fit()
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/xturing/trainers/lightning_trainer.py", line 181, in fit
self.trainer.fit(self.lightning_model)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 520, in fit
call._call_and_handle_interrupt(
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 44, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 559, in _fit_impl
self._run(model, ckpt_path=ckpt_path)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 915, in _run
call._call_callback_hooks(self, "on_fit_start")
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 190, in _call_callback_hooks
fn(trainer, trainer.lightning_module, *args, **kwargs)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/callbacks/lr_finder.py", line 125, in on_fit_start
self.lr_find(trainer, pl_module)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/callbacks/lr_finder.py", line 109, in lr_find
self.optimal_lr = _lr_find(
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/tuner/lr_finder.py", line 269, in _lr_find
_try_loop_run(trainer, params)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/tuner/lr_finder.py", line 495, in _try_loop_run
loop.run()
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/loops/fit_loop.py", line 193, in run
self.setup_data()
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/loops/fit_loop.py", line 235, in setup_data
_check_dataloader_iterable(dl, source, trainer_fn)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/pytorch_lightning/trainer/connectors/data_connector.py", line 383, in _check_dataloader_iterable
iter(dataloader) # type: ignore[call-overload]
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 442, in __iter__
return self._get_iterator()
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 388, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1043, in __init__
w.start()
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/context.py", line 288, in _Popen
return Popen(process_obj)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 42, in _launch
prep_data = spawn.get_preparation_data(process_obj._name)
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/spawn.py", line 154, in get_preparation_data
_check_not_importing_main()
File "/Users/user/miniconda3/envs/xturing/lib/python3.10/multiprocessing/spawn.py", line 134, in _check_not_importing_main
raise RuntimeError('''
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.