[AMD] Add MiniMax-M3-FP4 MI355X ATOM EAGLE3 / non-EAGLE3 update 0623 #1917
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,87 @@ | ||
| #!/usr/bin/env bash | ||
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| source "$(dirname "$0")/../../benchmark_lib.sh" | ||
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| check_env_vars \ | ||
| MODEL \ | ||
| TP \ | ||
| CONC \ | ||
| ISL \ | ||
| OSL \ | ||
| RANDOM_RANGE_RATIO \ | ||
| RESULT_FILENAME \ | ||
| EP_SIZE \ | ||
| DP_ATTENTION | ||
|
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| if [[ -n "$SLURM_JOB_ID" ]]; then | ||
| echo "JOB $SLURM_JOB_ID running on $SLURMD_NODENAME" | ||
| fi | ||
|
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| echo "TP: $TP, CONC: $CONC, ISL: $ISL, OSL: $OSL, EP_SIZE: $EP_SIZE, DP_ATTENTION: $DP_ATTENTION" | ||
|
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| SERVER_LOG=/workspace/server.log | ||
|
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| PARALLEL_ARGS=(-tp "$TP") #TP | ||
| if [ "$DP_ATTENTION" = "true" ]; then | ||
| if [ "$EP_SIZE" -gt 1 ]; then #DP+EP | ||
| PARALLEL_ARGS=(-tp "$TP" --enable-expert-parallel --enable-dp-attention ) | ||
| else #DP+TP | ||
| PARALLEL_ARGS=(-tp "$TP" --enable-dp-attention ) | ||
| fi | ||
| fi | ||
|
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| SPEC_ARGS=() | ||
|
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||
| # Start GPU monitoring (power, temperature, clocks every second) | ||
| start_gpu_monitor | ||
| MEM_FRAC_STATIC=0.8 | ||
|
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| set -x | ||
| #export AITER_QUICK_REDUCE_QUANTIZATION=INT4 | ||
| export ATOM_M3_SPARSE_USE_ASM_PA=1 | ||
| export MAX_MODEL_LEN=32768 | ||
| export MAX_NUM_BATCHED_TOKENS=32768 | ||
| export MAX_NUM_SEQS=256 | ||
| python3 -m atom.entrypoints.openai_server \ | ||
| --model $MODEL \ | ||
| --server-port $PORT \ | ||
| "${PARALLEL_ARGS[@]}" \ | ||
| "${SPEC_ARGS[@]}" \ | ||
| --block-size 128 \ | ||
| --gpu-memory-utilization $MEM_FRAC_STATIC \ | ||
| --max-model-len $MAX_MODEL_LEN \ | ||
| --max-num-batched-tokens $MAX_NUM_BATCHED_TOKENS \ | ||
| --max-num-seqs $MAX_NUM_SEQS \ | ||
| --kv_cache_dtype fp8 \ | ||
| --trust-remote-code \ | ||
| --no-enable_prefix_caching \ | ||
| > $SERVER_LOG 2>&1 & | ||
|
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||
| SERVER_PID=$! | ||
|
|
||
| # Wait for server to be ready | ||
| wait_for_server_ready --port "$PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID" | ||
|
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||
| export PYTHONDONTWRITEBYTECODE=1 | ||
| run_benchmark_serving \ | ||
| --model "$MODEL" \ | ||
| --port "$PORT" \ | ||
| --backend vllm \ | ||
| --input-len "$ISL" \ | ||
| --output-len "$OSL" \ | ||
| --random-range-ratio "$RANDOM_RANGE_RATIO" \ | ||
| --num-prompts "$((CONC * 10))" \ | ||
| --max-concurrency "$CONC" \ | ||
| --result-filename "$RESULT_FILENAME" \ | ||
| --result-dir /workspace/ \ | ||
| --trust-remote-code $( [[ ${#SPEC_ARGS[@]} -gt 0 ]] && echo "--use-chat-template" ) | ||
|
|
||
| # After throughput, run evaluation only if RUN_EVAL is true | ||
| if [ "${RUN_EVAL}" = "true" ]; then | ||
| run_eval --framework lm-eval --port "$PORT" | ||
| append_lm_eval_summary | ||
| fi | ||
|
|
||
| # Stop GPU monitoring | ||
| stop_gpu_monitor | ||
| set +x |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,87 @@ | ||
| #!/usr/bin/env bash | ||
|
|
||
| source "$(dirname "$0")/../../benchmark_lib.sh" | ||
|
|
||
| check_env_vars \ | ||
| MODEL \ | ||
| TP \ | ||
| CONC \ | ||
| ISL \ | ||
| OSL \ | ||
| RANDOM_RANGE_RATIO \ | ||
| RESULT_FILENAME \ | ||
| EP_SIZE \ | ||
| DP_ATTENTION | ||
|
|
||
| if [[ -n "$SLURM_JOB_ID" ]]; then | ||
| echo "JOB $SLURM_JOB_ID running on $SLURMD_NODENAME" | ||
| fi | ||
|
|
||
| echo "TP: $TP, CONC: $CONC, ISL: $ISL, OSL: $OSL, EP_SIZE: $EP_SIZE, DP_ATTENTION: $DP_ATTENTION" | ||
|
|
||
| SERVER_LOG=/workspace/server.log | ||
|
|
||
| PARALLEL_ARGS=(-tp "$TP") #TP | ||
| if [ "$DP_ATTENTION" = "true" ]; then | ||
| if [ "$EP_SIZE" -gt 1 ]; then #DP+EP | ||
| PARALLEL_ARGS=(-tp "$TP" --enable-expert-parallel --enable-dp-attention ) | ||
| else #DP+TP | ||
| PARALLEL_ARGS=(-tp "$TP" --enable-dp-attention ) | ||
| fi | ||
| fi | ||
|
|
||
| SPEC_ARGS=() | ||
|
|
||
| # Start GPU monitoring (power, temperature, clocks every second) | ||
| start_gpu_monitor | ||
| MEM_FRAC_STATIC=0.8 | ||
|
|
||
| set -x | ||
| #export AITER_QUICK_REDUCE_QUANTIZATION=INT4 | ||
| export ATOM_M3_SPARSE_USE_ASM_PA=1 | ||
| export MAX_MODEL_LEN=32768 | ||
| export MAX_NUM_BATCHED_TOKENS=32768 | ||
| export MAX_NUM_SEQS=256 | ||
| python3 -m atom.entrypoints.openai_server \ | ||
| --model $MODEL \ | ||
| --server-port $PORT \ | ||
| "${PARALLEL_ARGS[@]}" \ | ||
| "${SPEC_ARGS[@]}" \ | ||
| --block-size 128 \ | ||
| --gpu-memory-utilization $MEM_FRAC_STATIC \ | ||
| --max-model-len $MAX_MODEL_LEN \ | ||
| --max-num-batched-tokens $MAX_NUM_BATCHED_TOKENS \ | ||
| --max-num-seqs $MAX_NUM_SEQS \ | ||
| --kv_cache_dtype fp8 \ | ||
| --trust-remote-code \ | ||
| --no-enable_prefix_caching \ | ||
| > $SERVER_LOG 2>&1 & | ||
|
|
||
| SERVER_PID=$! | ||
|
|
||
| # Wait for server to be ready | ||
| wait_for_server_ready --port "$PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID" | ||
|
|
||
| export PYTHONDONTWRITEBYTECODE=1 | ||
| run_benchmark_serving \ | ||
| --model "$MODEL" \ | ||
| --port "$PORT" \ | ||
| --backend vllm \ | ||
| --input-len "$ISL" \ | ||
| --output-len "$OSL" \ | ||
| --random-range-ratio "$RANDOM_RANGE_RATIO" \ | ||
| --num-prompts "$((CONC * 10))" \ | ||
| --max-concurrency "$CONC" \ | ||
| --result-filename "$RESULT_FILENAME" \ | ||
| --result-dir /workspace/ \ | ||
| --trust-remote-code $( [[ ${#SPEC_ARGS[@]} -gt 0 ]] && echo "--use-chat-template" ) | ||
|
|
||
| # After throughput, run evaluation only if RUN_EVAL is true | ||
| if [ "${RUN_EVAL}" = "true" ]; then | ||
| run_eval --framework lm-eval --port "$PORT" | ||
| append_lm_eval_summary | ||
| fi | ||
|
|
||
| # Stop GPU monitoring | ||
| stop_gpu_monitor | ||
| set +x |
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