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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
import detectron2.export.torchscript # apply patch # noqa
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.layers import ShapeSpec
from detectron2.modeling.backbone import build_resnet_backbone
from detectron2.modeling.backbone.fpn import build_resnet_fpn_backbone
from detectron2.utils.env import TORCH_VERSION
class TestBackBone(unittest.TestCase):
@unittest.skipIf(TORCH_VERSION < (1, 8), "Insufficient pytorch version")
def test_resnet_scriptability(self):
cfg = get_cfg()
resnet = build_resnet_backbone(cfg, ShapeSpec(channels=3))
scripted_resnet = torch.jit.script(resnet)
inp = torch.rand(2, 3, 100, 100)
out1 = resnet(inp)["res4"]
out2 = scripted_resnet(inp)["res4"]
self.assertTrue(torch.allclose(out1, out2))
@unittest.skipIf(TORCH_VERSION < (1, 8), "Insufficient pytorch version")
def test_fpn_scriptability(self):
cfg = model_zoo.get_config("Misc/scratch_mask_rcnn_R_50_FPN_3x_gn.yaml")
bb = build_resnet_fpn_backbone(cfg, ShapeSpec(channels=3))
bb_s = torch.jit.script(bb)
inp = torch.rand(2, 3, 128, 128)
out1 = bb(inp)["p5"]
out2 = bb_s(inp)["p5"]
self.assertTrue(torch.allclose(out1, out2))
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