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HuggingFace_transformer/benchmark
Joao Gante 9a1c1fe7ed [CI] green llama tests (#37244)
* green llama tests

* use cleanup instead

* better test comment; cleanup upgrade

* better test comment; cleanup upgrade
2025-04-03 14:15:53 +01:00
..
2024-08-22 16:07:47 +02:00
2025-04-03 14:15:53 +01:00
2024-10-11 18:03:29 +02:00

Benchmarks

You might want to add new benchmarks.

You will need to define a python function named run_benchmark in your python file and the file must be located in this benchmark/ directory.

The expected function signature is the following:

def run_benchmark(logger: Logger, branch: str, commit_id: str, commit_msg: str, num_tokens_to_generate=100):

Writing metrics to the database

MetricsRecorder is thread-safe, in the sense of the python Thread. This means you can start a background thread to do the readings on the device measurements while not blocking the main thread to execute the model measurements.

cf llama.py to see an example of this in practice.

from benchmarks_entrypoint import MetricsRecorder
import psycopg2

def run_benchmark(logger: Logger, branch: str, commit_id: str, commit_msg: str, num_tokens_to_generate=100):
  metrics_recorder = MetricsRecorder(psycopg2.connect("dbname=metrics"), logger, branch, commit_id, commit_msg)
  benchmark_id = metrics_recorder.initialise_benchmark({"gpu_name": gpu_name, "model_id": model_id})
    # To collect device measurements
    metrics_recorder.collect_device_measurements(
        benchmark_id, cpu_util, mem_megabytes, gpu_util, gpu_mem_megabytes
    )
    # To collect your model measurements
    metrics_recorder.collect_model_measurements(
        benchmark_id,
        {
            "model_load_time": model_load_time,
            "first_eager_forward_pass_time_secs": first_eager_fwd_pass_time,
            "second_eager_forward_pass_time_secs": second_eager_fwd_pass_time,
            "first_eager_generate_time_secs": first_eager_generate_time,
            "second_eager_generate_time_secs": second_eager_generate_time,
            "time_to_first_token_secs": time_to_first_token,
            "time_to_second_token_secs": time_to_second_token,
            "time_to_third_token_secs": time_to_third_token,
            "time_to_next_token_mean_secs": mean_time_to_next_token,
            "first_compile_generate_time_secs": first_compile_generate_time,
            "second_compile_generate_time_secs": second_compile_generate_time,
            "third_compile_generate_time_secs": third_compile_generate_time,
            "fourth_compile_generate_time_secs": fourth_compile_generate_time,
        },
    )