add: add new sh

9g_inference.py

@@ -0,0 +1,32 @@
+import os
+from libcpm import CPM9G
+import argparse, json, os
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--pt", type=str, help="the path of ckpt")
+    parser.add_argument("--config", type=str, help="the path of config file")
+    parser.add_argument("--vocab", type=str, help="the path of vocab file")
+    args = parser.parse_args()
+    model_config = json.load(open(args.config, 'r'))
+    model_config["new_vocab"] = True
+    model = CPM9G(
+        "",
+        args.vocab,
+        -1,
+        memory_limit = 30 << 30,#memory limit 左边的参数根据gpu的显存设置，如果是A100，可以设置为 72 << 30，这样的话就可以用到更多的显存
+        model_config=model_config,
+        load_model=False,
+    )
+    model.load_model_pt(args.pt)
+    datas = [
+        '''<用户>马化腾是谁？<AI>''',
+        '''<用户>你是谁？<AI>''',
+        '''<用户>我要参加一个高性能会议，请帮我写一个致辞。<AI>''',
+    ]
+    for data in datas:
+        res = model.inference(data, max_length=4096)
+        print(res['result'])
+        
+if __name__ == "__main__":
+    main()

9g_lora_0.sh

@@ -0,0 +1,57 @@
+#! /bin/bash
+
+export MASTER_ADDR="localhost"
+export MASTER_PORT=12370
+
+CPM_PATH="/workspace/repo/CPM-9G-8B/9G-Train"
+
+NO=0
+GPU_NUM=multi
+MAX_STEP=500
+EXP_PATH=/workspace/repo/CPM-9G-8B/results/lora/${GPU_NUM}/${MAX_STEP}/${NO}/models/
+MODEL_NAME="9g-sft"
+TB_PATH="/workspace/repo/CPM-9G-8B/results/lora/${GPU_NUM}/${MAX_STEP}/${NO}/logs/"
+
+OPTS=""
+OPTS+=" --vocab /v2/sft_8b_v2/vocab.txt"
+OPTS+=" --model-config /v2/sft_8b_v2/config.json"
+
+OPTS+=" --train-iters 500"
+OPTS+=" --lr_decay_iters 500"
+OPTS+=" --inspect-iters 500"
+OPTS+=" --warmup-iters 20"
+
+OPTS+=" --lr-decay-style cosine"
+OPTS+=" --weight-decay 0.01"
+OPTS+=" --clip-grad 1.0"
+OPTS+=" --loss-scale 1048576"
+OPTS+=" --max-loss-scale 33554432"
+OPTS+=" --min-loss-scale 1"
+OPTS+=" --loss-scale-steps 32"
+
+OPTS+=" --offload"
+OPTS+=" --batch-size 2"
+OPTS+=" --max-length 4096"
+OPTS+=" --lr 3e-4"
+OPTS+=" --start-step 0"
+OPTS+=" --epoch 2"
+OPTS+=" --load /v2/sft_8b_v2/cpm_live_8b-1500-float16.pt"
+OPTS+=" --dataset /workspace/repo/CPM-9G-8B/dataset_bin"
+# TODO 这些 /data 在启元机器上需要改成 /home 下的路径
+OPTS+=" --save ${EXP_PATH}/checkpoints"
+OPTS+=" --save-name ${MODEL_NAME}"
+OPTS+=" --tensorboard ${TB_PATH}"
+
+OPTS+=" --delta-tuning"
+OPTS+=" --delta-type lora"
+OPTS+=" --lora-r 64" # 常用的lora 参数
+OPTS+=" --lora-dropout 0.05"
+OPTS+=" --lora-alpha 64" # 常用的lora alpha 参数
+OPTS+=" --lora-layer project_q project_v project_k w_0 w_1 w_out"
+
+OPTS+=" $@"
+
+CMD="torchrun --nnodes=1 --nproc_per_node=7 --rdzv_id=1 --rdzv_backend=c10d --rdzv_endpoint=${MASTER_ADDR}:${MASTER_PORT} ${CPM_PATH}/apps/cpm9g/sft_cpm9g_delta.py ${OPTS}"
+
+echo "${CMD}"
+$CMD