[Bug]: step 2 refactor issues

### Problem Description
#### consolidate register_alg and register_pipeline

#### gradient accumulate step warning in cli

#### pass input_id to quantize

#### fix quantize_layer attention loss

#### verify algs name
/models/Qwen3-8B --tasks lambada_openai --algs haha --seqlen 512 --iters 1 --gradient_accumulate_steps 2

#### issue repeated log
/home/wenhuach/miniforge3/envs/autoround/bin/python /home/wenhuach/auto-round/auto_round/main.py /models/Qwen3-0.6B --tasks lambada_openai --algs awq,auto-round --seqlen 512
2026-07-10 17:01:26 INFO main.py L292: start to quantize /models/Qwen3-0.6B
2026-07-10 17:01:26 INFO config.py L53: enable_opt_rtn is turned on, set --disable_opt_rtn for higher speed at the cost of accuracy.
2026-07-10 17:01:26 INFO config.py L53: enable_opt_rtn is turned on, set --disable_opt_rtn for higher speed at the cost of accuracy.

#### issue no loss print
2026-07-10 17:02:13 INFO mappings.py L560: AWQ resolved 84 smooth-balance mappings (3 per block × 28 blocks).
2026-07-10 17:02:13 INFO mappings.py L423: Using registered AWQ mappings for Qwen3ForCausalLM.
2026-07-10 17:02:13 INFO mappings.py L560: AWQ resolved 84 smooth-balance mappings (3 per block × 28 blocks).
2026-07-10 17:02:13 INFO base.py L201: AWQ: resolved 84 mappings across 28 blocks.
Quantizing model.layers.0: 0%| | 0/28 [00:00