defaults.py

defaults_vanilla_single = {
    "status": 200,
    "prediction": "Accepted",
    "inf_latency": 20.77,
    "peak_gpu_memory": 2717.36,
    "end_to_end_latency": 93.65,
}

defaults_bt_single = {
    "status": 200,
    "prediction": "Accepted",
    "inf_latency": 20.77,
    "peak_gpu_memory": 2717.36,
    "end_to_end_latency": 93.65,
}

defaults_vanilla_spam = {
    "throughput": 20,
    "mean_inference_latency": 29.69,
    "mean_peak_gpu_memory": 3620.9,
    "mean_padding_ratio": 35.26,
    "mean_sequence_length": 39.395,
    "effective_batch_size": 8,
}

defaults_bt_spam = {
    "throughput": 20,
    "mean_inference_latency": 29.69,
    "mean_peak_gpu_memory": 3620.9,
    "mean_padding_ratio": 35.26,
    "mean_sequence_length": 39.395,
    "effective_batch_size": 8,
}

BATCH_SIZE = 8  # fixed!

HEADERS = {"Content-Type": "text/plain"}
ADDRESS_VANILLA = "http://3.83.142.46:8080/predictions/my_tc"
ADDRESS_BETTERTRANSFORMER = "http://3.95.136.2:8080/predictions/my_tc"
MODEL_NAME = "distilbert-base-uncased-finetuned-sst-2-english"