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fix: use dtype instead of deprecated torch_dtype #100

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fix: use dtype instead of deprecated torch_dtype #100

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12 changes: 10 additions & 2 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,14 @@
from data.dataset import HybridDataset, collate_fn
from data.data_utils import AverageMeter, ProgressMeter, Summary, dict_to_cuda
from utils.utils import save_args_to_json, create_log_dir
from packaging.version import Version

def _dtype_kwargs(dtype):
"""`dtype` keyword of `from_pretrained` exists since transformers 4.56 (PR #39782);
older versions use `torch_dtype`."""
if Version(transformers.__version__) >= Version("4.56"):
return {"dtype": dtype}
return {"torch_dtype": dtype}

def env_init(distributed=True):
print("Init Env for Distributed Training")
Expand Down Expand Up @@ -330,7 +338,7 @@ def main(args):

model = ShowUIForConditionalGeneration.from_pretrained(
model_url,
torch_dtype=torch_dtype,
**_dtype_kwargs(torch_dtype),
low_cpu_mem_usage=True,
_attn_implementation=args.attn_imple,
quantization_config=bnb_config,
Expand All @@ -343,7 +351,7 @@ def main(args):

model = Qwen2VLForConditionalGeneration.from_pretrained(
model_url,
torch_dtype=torch_dtype,
**_dtype_kwargs(torch_dtype),
low_cpu_mem_usage=True,
_attn_implementation=args.attn_imple,
quantization_config=bnb_config,
Expand Down