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pytorch-image-models/tests/test_inference.py

20 lines
615 B

import pytest
import torch
from timm import list_models, create_model
@pytest.mark.timeout(300)
@pytest.mark.parametrize('model_name', list_models(exclude_filters='*efficientnet_l2*'))
@pytest.mark.parametrize('batch_size', [1])
def test_model_forward(model_name, batch_size):
"""Run a single forward pass with each model"""
model = create_model(model_name, pretrained=False)
model.eval()
inputs = torch.randn((batch_size, *model.default_cfg['input_size']))
outputs = model(inputs)
assert outputs.shape[0] == batch_size
assert not torch.isnan(outputs).any(), 'Output included NaNs'