mirror of https://github.com/open-mmlab/mmcv.git
28 lines
938 B
Python
28 lines
938 B
Python
import torch
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from torch.autograd import gradcheck
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class TestCarafe(object):
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def test_carafe_naive_gradcheck(self):
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if not torch.cuda.is_available():
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return
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from mmcv.ops import CARAFENaive
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feat = torch.randn(
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2, 64, 3, 3, requires_grad=True, device='cuda').double()
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mask = torch.randn(
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2, 100, 6, 6, requires_grad=True,
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device='cuda').sigmoid().double()
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gradcheck(CARAFENaive(5, 4, 2), (feat, mask), atol=1e-4, eps=1e-4)
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def test_carafe_gradcheck(self):
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if not torch.cuda.is_available():
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return
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from mmcv.ops import CARAFE
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feat = torch.randn(
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2, 64, 3, 3, requires_grad=True, device='cuda').double()
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mask = torch.randn(
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2, 100, 6, 6, requires_grad=True,
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device='cuda').sigmoid().double()
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gradcheck(CARAFE(5, 4, 2), (feat, mask), atol=1e-4, eps=1e-4)
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