Update _utils.py

This commit is contained in:
Daniel Han 2024-11-05 01:41:04 -08:00
commit 7e596ea1be

View file

@ -395,13 +395,13 @@ torch_compile_options = {
"max_autotune" : True,
"shape_padding" : True,
"trace.enabled" : UNSLOTH_COMPILE_DEBUG,
"triton.cudagraphs" : True,
"triton.cudagraphs" : False,
}
import accelerate
def torch_compile_kwargs(*args, **kwargs):
print("Unsloth: Enabled auto compiling")
return {"dynamic" : True, "fullgraph" : True, "options" : torch_compile_options,}
return {"dynamic" : True, "fullgraph" : False, "options" : torch_compile_options,}
pass
accelerate.utils.dataclasses.TorchDynamoPlugin.to_kwargs = torch_compile_kwargs
@ -467,13 +467,13 @@ def prepare_model_for_kbit_training(
pass
# If use_reentrant = True which is the Pytorch default, we just make the input requires_grad.
# if use_reentrant:
# if hasattr(model, "enable_input_require_grads"):
# model.enable_input_require_grads()
# else:
# def make_inputs_require_grad(module, input, output):
# output.requires_grad_(True)
# model.get_input_embeddings().register_forward_hook(make_inputs_require_grad)
if use_reentrant:
if hasattr(model, "enable_input_require_grads"):
model.enable_input_require_grads()
else:
def make_inputs_require_grad(module, input, output):
output.requires_grad_(True)
model.get_input_embeddings().register_forward_hook(make_inputs_require_grad)
return model
pass