def handle_mini_batch()

in dynalab/handler.py [0:0]

• 18 lines of code
• 1 McCabe index (conditional complexity)

def handle_mini_batch(service, samples):
    n = len(samples)
    start_time = time.time()
    input_data = service.preprocess(samples)
    logger.info(
        f"Preprocessed a batch of size {n} ({n/(time.time()-start_time):.2f} samples / s)"
    )

    start_time = time.time()
    output = service.inference(input_data)
    logger.info(
        f"Infered a batch of size {n} ({n/(time.time()-start_time):.2f} samples / s)"
    )

    start_time = time.time()
    json_results = service.postprocess(output, samples)
    logger.info(
        f"Postprocessed a batch of size {n} ({n/(time.time()-start_time):.2f} samples / s)"
    )
    return json_results