Chatglm pr update
State: closed | Pull request: yes
Labels: name: NLP

name: common

# What does this PR do ?

Support ChatGLM2&ChatGLM3

**Collection**: [Note which collection this PR will affect]

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
* You can potentially add a usage example below

### Model conversion from HuggingFace to nemo
```
python ./scripts/nlp_language_modeling/convert_chatglm_hf_to_nemo.py --input_name_or_path '/mount/data/chatglm2-6b' --output_path '/mount/nemo_models/chatglm2.nemo' 
```
### Inference
```
python ./examples/nlp/language_modeling/megatron_gpt_eval.py \
    --config-name=megatron_chatglm_inference \
    gpt_model_file=${CHATGLM_NEMO_MODEL} \
    trainer.devices=1 \
    trainer.num_nodes=1 \
    tensor_model_parallel_size=1 \
    pipeline_model_parallel_size=1 
```
### Pretrain
```
 python3 -u examples/nlp/language_modeling/megatron_gpt_pretraining.py \
  --config-name=megatron_chatglm_config \
  trainer.devices=8 \
  trainer.num_nodes=1 \
  trainer.val_check_interval=100 \
  trainer.precision=bf16 \
 +model.data.data_prefix=${TRAIN_DS} \
  trainer.max_steps=1000 \
  trainer.max_epochs=1 \
  model.megatron_amp_O2=True \
  model.sequence_parallel=True \
  model.tensor_model_parallel_size=2 \
  model.pipeline_model_parallel_size=1 \
  model.global_batch_size=128 \
  model.micro_batch_size=1 \
  model.override_vocab_size=65024 \
  model.use_cpu_initialization=False
```
### SFT
```
python ./examples/nlp/language_modeling/tuning/megatron_gpt_sft.py \
    trainer.devices=8 \
    trainer.val_check_interval=200 \
    model.restore_from_path=${CHATGLM_NEMO_MODEL} \
    model.tensor_model_parallel_size=${TP_SIZE} \
    model.pipeline_model_parallel_size=${PP_SIZE} \
    model.answer_only_loss=True \
    model.global_batch_size=128 \
    model.micro_batch_size=1 \
    model.data.train_ds.file_names=${TRAIN_DS} \
    model.data.train_ds.concat_sampling_probabilities=[1.0] \
    model.data.validation_ds.file_names=${VALID_DS} \
    model.data.validation_ds.global_batch_size=128\
    model.data.validation_ds.micro_batch_size=1 \
    model.megatron_amp_O2=True \
    exp_manager.exp_dir=exp \
    exp_manager.name=chatglm_test \
    trainer.precision=bf16
```

# Jenkins CI
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- [ ] Did you write any new necessary tests?
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**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation

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