| # Copyright (c) Meta Platforms, Inc. and affiliates. |
| # All rights reserved. |
| # |
| # This source code is licensed under the BSD-style license found in the |
| # LICENSE file in the root directory of this source tree. |
| |
| import logging |
| |
| import torch |
| |
| from torchvision.models import vit_b_16 # @manual |
| |
| from ..model_base import EagerModelBase |
| |
| |
| class TorchVisionViTModel(EagerModelBase): |
| def __init__(self): |
| pass |
| |
| def get_eager_model(self) -> torch.nn.Module: |
| logging.info("Loading torchvision vit_b_16 model") |
| vit_b_16_model = vit_b_16(weights="IMAGENET1K_V1") |
| logging.info("Loaded torchvision vit_b_16 model") |
| return vit_b_16_model |
| |
| def get_example_inputs(self): |
| input_shape = (1, 3, 224, 224) |
| return (torch.randn(input_shape),) |