NVIDIA-GPU-Bootcamp-Training/ai/Megatron/English/Python/jupyter_notebook/Megatron-LM/tasks/vision/classification.py

# coding=utf-8
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#     http://www.apache.org/licenses/LICENSE-2.0
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"""Vision-classification finetuning/evaluation."""

from megatron import get_args
from megatron import print_rank_0
from megatron.model.vit_model import VitModel
from megatron.data.vit_dataset import build_train_valid_datasets
from tasks.vision.eval_utils import accuracy_func_provider
from tasks.vision.finetune_utils import finetune


def classification():
    def train_valid_datasets_provider():
        """Build train and validation dataset."""
        args = get_args()

        train_ds, valid_ds = build_train_valid_datasets(
            data_path=args.data_path,
            crop_size=args.img_dim,
        )
        return train_ds, valid_ds

    def model_provider(pre_process=True, post_process=True):
        """Build the model."""
        args = get_args()

        print_rank_0("building classification model for ImageNet ...")

        return VitModel(num_classes=args.num_classes, finetune=True,
                        pre_process=pre_process, post_process=post_process)

    """Finetune/evaluate."""
    finetune(
        train_valid_datasets_provider,
        model_provider,
        end_of_epoch_callback_provider=accuracy_func_provider,
    )


def main():
    classification()