[TorchAcc][Experimental] Integrate more model in torchacc

[Zhikaiiii]

PR type

• [ ] Bug Fix
• [x] New Feature
• [ ] Document Updates
• [ ] More Model or Dataset Support

PR information

Previous PR: https://github.com/modelscope/swift/pull/647

1. Integrate more model patch function for torchacc.
2. Support stat speed metrics for after some warmup steps(since there is compile time in the beginning of torchacc)

Experiment results

Paste your experiment result here(if needed).

We have test some models for torchacc and swift

1. llama2-13b

method	train_sample/s	train_sample/s after warmup
torchacc + 2fsdp	3.775	4.426(1.13x)
torchacc + 2ddp	4.997(1.28x)	5.416(1.38x)
swift + 2ddp	3.899	3.912

2. baichuan2-13b

method	train_sample/s	train_sample/s after warmup
torchacc + 2fsdp	5.014(1.32x)	6.039(1.60x)
torchacc + 2ddp	6.218(1.63x)	6.861(1.80x)
swift + 2ddp	3.812	3.815

3. chatglm3-6b

method	train_sample/s	train_sample/s after warmup
torchacc + 2fsdp	9.859(1.82x)	11.896(2.19x)
swift + 2ddp	5.431	-

4. yi-34b

method	train_sample/s	train_sample/s after warmup
torchacc + 4fsdp	2.349	2.978(1.24x)
swift + 2ddp + 2mp	2.411	2.411

5. llama3-8b

method	train_sample/s	train_sample/s after warmup
torchacc + 2ddp	9.216(1.13x)	10.243(1.26x)
swift + 2ddp	8.126	-

6. qwen1.5-14b

method	train_sample/s	train_sample/s after warmup
torchacc + 2ddp	5.076(1.03x)	5.376(1.08x)
swift + 2ddp	4.944	-