INNER CODE UNIT · Python

evaluate

haitongli/knowledge-distillation-pytorch · evaluate.py:21

def evaluate(model, loss_fn, dataloader, metrics, params):
    """Evaluate the model on `num_steps` batches.

    Args:
        model: (torch.nn.Module) the neural network
        loss_fn: a function that takes batch_output and batch_labels and computes the loss for the batch
        dataloader: (DataLoader) a torch.utils.data.DataLoader object that fetches data
        metrics: (dict) a dictionary of functions that compute a metric using the output and labels of each batch
        params: (Params) hyperparameters
        num_steps: (int) number of batches to train on, each of size params.batch_size
    """

    # set model to evaluation mode
    model.eval()

    # summary for current eval loop
    summ = []

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