#!/bin/bash
export CUDA_DEVICE_MAX_CONNECTIONS=1

# distributed config
MASTER_ADDR=localhost
MASTER_PORT=6001
NNODES=1
NODE_RANK=0
NPUS_PER_NODE=1

# modify script model path and tokenizer path
TOKENIZER_PATH="your tokenizer directory path"
CHECKPOINT="your model directory path"
DATA_PATH="../mmlu/test/"
TASK="mmlu"

DISTRIBUTED_ARGS="
    --nproc_per_node $NPUS_PER_NODE \
    --nnodes $NNODES \
    --node_rank $NODE_RANK \
    --master_addr $MASTER_ADDR \
    --master_port $MASTER_PORT
"

LONG_FACTOR="1.0800000429153442,1.1100000143051147,1.1399999856948853,1.340000033378601,1.5899999141693115,1.600000023841858,1.6200000047683716,2.620000123977661,3.2300000190734863,3.2300000190734863,4.789999961853027,7.400000095367432,7.700000286102295,9.09000015258789,12.199999809265137,17.670000076293945,24.46000099182129,28.57000160217285,30.420001983642578,30.840002059936523,32.590003967285156,32.93000411987305,42.320003509521484,44.96000289916992,50.340003967285156,50.45000457763672,57.55000305175781,57.93000411987305,58.21000289916992,60.1400032043457,62.61000442504883,62.62000274658203,62.71000289916992,63.1400032043457,63.1400032043457,63.77000427246094,63.93000411987305,63.96000289916992,63.970001220703125,64.02999877929688,64.06999969482422,64.08000183105469,64.12000274658203,64.41000366210938,64.4800033569336,64.51000213623047,64.52999877929688,64.83999633789062"
SHORT_FACTOR="1.0,1.0199999809265137,1.0299999713897705,1.0299999713897705,1.0499999523162842,1.0499999523162842,1.0499999523162842,1.0499999523162842,1.0499999523162842,1.0699999332427979,1.0999999046325684,1.1099998950958252,1.1599998474121094,1.1599998474121094,1.1699998378753662,1.2899998426437378,1.339999794960022,1.679999828338623,1.7899998426437378,1.8199998140335083,1.8499997854232788,1.8799997568130493,1.9099997282028198,1.9399996995925903,1.9899996519088745,2.0199997425079346,2.0199997425079346,2.0199997425079346,2.0199997425079346,2.0199997425079346,2.0199997425079346,2.0299997329711914,2.0299997329711914,2.0299997329711914,2.0299997329711914,2.0299997329711914,2.0299997329711914,2.0299997329711914,2.0299997329711914,2.0299997329711914,2.0799996852874756,2.0899996757507324,2.189999580383301,2.2199995517730713,2.5899994373321533,2.729999542236328,2.749999523162842,2.8399994373321533"

# configure generation parameters
torchrun $DISTRIBUTED_ARGS evaluation.py \
      --task-data-path ${DATA_PATH} \
      --task ${TASK}\
      --load ${CHECKPOINT} \
      --use-mcore-models \
      --use-flash-attn \
      --hidden-dropout 0.0 \
      --attention-dropout 0.0 \
      --no-chat-template \
      --tensor-model-parallel-size 1 \
      --pipeline-model-parallel-size 1 \
      --evaluation-batch-size 1 \
      --exit-on-missing-checkpoint \
      --rope-scaling-type longrope \
      --longrope-freqs-type outer \
      --rope-scaling-original-max-position-embeddings 4096 \
      --num-layers 32 \
      --hidden-size 3072 \
      --ffn-hidden-size 8192 \
      --num-attention-heads 32 \
      --position-embedding-type rope \
      --no-rope-fusion \
      --swiglu \
      --seq-length 4096 \
      --max-position-embeddings 131072 \
      --max-new-tokens 1 \
      --micro-batch-size 1 \
      --tokenizer-type PretrainedFromHF \
      --tokenizer-name-or-path ${TOKENIZER_PATH} \
      --tokenizer-not-use-fast \
      --normalization RMSNorm \
      --norm-epsilon 1e-5 \
      --disable-bias-linear \
      --rotary-base 10000 \
      --untie-embeddings-and-output-weights \
      --attention-softmax-in-fp32 \
      --no-load-optim \
      --no-load-rng \
      --no-masked-softmax-fusion \
      --make-vocab-size-divisible-by 1 \
      --padded-vocab-size 32064 \
      --seed 42 \
      --bf16 \
      --long-factor ${LONG_FACTOR} \
      --short-factor ${SHORT_FACTOR} \
      | tee logs/evaluate_mcore_phi35_mini.log