mirror of https://github.com/FoundationVision/GLEE
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
import unittest
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import torch
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import detectron2.export.torchscript # apply patch # noqa
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from detectron2 import model_zoo
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from detectron2.config import get_cfg
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from detectron2.layers import ShapeSpec
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from detectron2.modeling.backbone import build_resnet_backbone
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from detectron2.modeling.backbone.fpn import build_resnet_fpn_backbone
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class TestBackBone(unittest.TestCase):
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def test_resnet_scriptability(self):
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cfg = get_cfg()
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resnet = build_resnet_backbone(cfg, ShapeSpec(channels=3))
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scripted_resnet = torch.jit.script(resnet)
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inp = torch.rand(2, 3, 100, 100)
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out1 = resnet(inp)["res4"]
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out2 = scripted_resnet(inp)["res4"]
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self.assertTrue(torch.allclose(out1, out2))
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def test_fpn_scriptability(self):
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cfg = model_zoo.get_config("Misc/scratch_mask_rcnn_R_50_FPN_3x_gn.yaml")
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bb = build_resnet_fpn_backbone(cfg, ShapeSpec(channels=3))
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bb_s = torch.jit.script(bb)
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inp = torch.rand(2, 3, 128, 128)
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out1 = bb(inp)["p5"]
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out2 = bb_s(inp)["p5"]
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self.assertTrue(torch.allclose(out1, out2))
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