Add GRPO and Support RLVR for PPO (#6186)

* add grpo, support rlvr

* add grpo, support rlvr

* tested deepseek r1 pipeline

* add ci

* verify grpo r1

* verify grpo r1

* update readme, remove unused code

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* remove path

* clean code

* fix circular import

* fix ci OOM

* fix ci OOM

* skip kto tp, fix qwen generation

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

applications/ColossalChat/examples/training_scripts/train_grpo.sh

@@ -0,0 +1,86 @@
+#!/bin/bash
+set_n_least_used_CUDA_VISIBLE_DEVICES() {
+    local n=${1:-"9999"}
+    echo "GPU Memory Usage:"
+    local FIRST_N_GPU_IDS=$(nvidia-smi --query-gpu=memory.used --format=csv |
+        tail -n +2 |
+        nl -v 0 |
+        tee /dev/tty |
+        sort -g -k 2 |
+        awk '{print $1}' |
+        head -n $n)
+    export CUDA_VISIBLE_DEVICES=$(echo $FIRST_N_GPU_IDS | sed 's/ /,/g')
+    echo "Now CUDA_VISIBLE_DEVICES is set to:"
+    echo "CUDA_VISIBLE_DEVICES=$CUDA_VISIBLE_DEVICES"
+}
+set_n_least_used_CUDA_VISIBLE_DEVICES 8
+
+PROJECT_NAME="PPO-RLVR"
+
+PARENT_SAVE_DIR="" # Path to a folder to save checkpoints
+PARENT_CONFIG_FILE="" # Path to a folder to save training config logs
+PRETRAINED_MODEL_PATH="" # local pretrained model path (from RLHF step 1: SFT)
+PRETRAINED_TOKENIZER_PATH="" # huggingface or local tokenizer path
+CONVERSATION_TEMPLATE_CONFIG_PATH="" # path to the conversation config file
+LOGDIR=""
+
+declare -a prompt_dataset=(
+    YOUR/PROMPT/DATA/DIR/arrow/part-00000
+    YOUR/PROMPT/DATA/DIR/arrow/part-00001
+    YOUR/PROMPT/DATA/DIR/arrow/part-00002
+    YOUR/PROMPT/DATA/DIR/arrow/part-00003
+    YOUR/PROMPT/DATA/DIR/arrow/part-00004
+    YOUR/PROMPT/DATA/DIR/arrow/part-00005
+    YOUR/PROMPT/DATA/DIR/arrow/part-00006
+    YOUR/PROMPT/DATA/DIR/arrow/part-00007
+    YOUR/PROMPT/DATA/DIR/arrow/part-00008
+    YOUR/PROMPT/DATA/DIR/arrow/part-00009
+)
+
+declare -a ptx_dataset=(
+    YOUR/SFT/DATA/DIR/arrow/part-00000
+    YOUR/SFT/DATA/DIR/arrow/part-00001
+    YOUR/SFT/DATA/DIR/arrow/part-00002
+    YOUR/SFT/DATA/DIR/arrow/part-00003
+    YOUR/SFT/DATA/DIR/arrow/part-00004
+    YOUR/SFT/DATA/DIR/arrow/part-00005
+    YOUR/SFT/DATA/DIR/arrow/part-00006
+    YOUR/SFT/DATA/DIR/arrow/part-00007
+    YOUR/SFT/DATA/DIR/arrow/part-00008
+    YOUR/SFT/DATA/DIR/arrow/part-00009
+)
+
+TIMESTAMP=$(date +%Y-%m-%d-%H-%M-%S)
+FULL_PROJECT_NAME="${PROJECT_NAME}-${TIMESTAMP}"
+SAVE_DIR="${PARENT_SAVE_DIR}${FULL_PROJECT_NAME}"
+CONFIG_FILE="${PARENT_CONFIG_FILE}${FULL_PROJECT_NAME}.json"
+
+colossalai run --nproc_per_node 8 --num_nodes 1 --hostfile ./hostfile train_grpo.py \
+    --pretrain $PRETRAINED_MODEL_PATH \
+    --tokenizer_dir $PRETRAINED_TOKENIZER_PATH \
+    --prompt_dataset ${prompt_dataset[@]} \
+    --conversation_template_config $CONVERSATION_TEMPLATE_CONFIG_PATH \
+    --ptx_coef 0.0 \
+    --plugin "zero2_cpu" \
+    --reward_functions math_competition_reward_fn \
+    --save_interval 250 \
+    --save_path $SAVE_DIR \
+    --num_episodes 100 \
+    --num_collect_steps 8 \
+    --num_update_steps 1 \
+    --experience_batch_size 1 \
+    --train_batch_size 4 \
+    --inference_batch_size 8 \
+    --logits_forward_batch_size 2 \
+    --accumulation_steps 4 \
+    --lr 1e-6 \
+    --mixed_precision "bf16" \
+    --grad_clip 0.1\
+    --weight_decay 0.01 \
+    --kl_coef 0.01 \
+    --warmup_steps 40 \
+    --max_length 2000 \
+    --max_seq_len 1700 \
+    --log_dir $LOGDIR \
+    --use_flash_attn \
+    --grad_checkpoint