[BUG] Trainer have no attribute 'use_cuda_amp'

Bug description

Trainer.train() when finishing training return:
AttributeError: 'Trainer' object has no attribute 'use_cuda_amp'
During handling of the above exception, another exception occurred:
AttributeError: 'Trainer' object has no attribute 'use_amp'

Steps/Code to reproduce bug

Train a model with these configurations:
training_args = T4RecTrainingArguments(
output_dir=lb_out.as_posix(),
max_sequence_length=20,
data_loader_engine='nvtabular',
num_train_epochs=1,
dataloader_drop_last=False,
per_device_train_batch_size=256,
per_device_eval_batch_size=16,
gradient_accumulation_steps=1,
learning_rate=0.0005,
report_to=[],
save_strategy='no',
logging_steps=500
)

trainer = Trainer(
model=model,
args=training_args,
schema=schema,
compute_metrics=True,
)

Expected behavior

Model finish training without returning error

Environment details

• Transformers4Rec version: 23.08.00
• Platform:Ubuntu 22.04.5 LTS
• Python version:3.10.16
• Huggingface Transformers version:4.45.0
• PyTorch version (GPU?):2.4.1
• Tensorflow version (GPU?):

Additional context

It seems that transformers have remove CUDA amp entirely for CPU amp. huggingface/transformers#27760

Start at Trainer.train() and inspect how the Trainer handles AMP attributes when training finishes, using the provided T4RecTrainingArguments configuration to reproduce the failure. Check the related PyTorch and Hugging Face Transformers behavior, and consider the issue done when training completes without either AttributeError.