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Fix ut of stack_grouping_points (#3026)

pull/3032/head
Chai 2024-01-29 19:18:01 +08:00 committed by GitHub
parent 815f5d75a7
commit d9e10e1184
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1 changed files with 5 additions and 5 deletions
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10
tests/test_ops/test_group_points.py
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@ -88,7 +88,7 @@ def test_stack_grouping_points(dtype, device):
return
idx = torch.tensor([[0, 0, 0], [3, 3, 3], [8, 8, 8], [1, 1, 1], [0, 0, 0],
[2, 2, 2], [0, 0, 0], [6, 6, 6], [9, 9, 9], [0, 0, 0],
[1, 1, 1], [0, 0, 0]]).int().cuda()
[1, 1, 1], [0, 0, 0]]).int().to(device)
features = torch.tensor([[
0.5798, -0.7981, -0.9280, -1.3311, 1.3687, 0.9277, -0.4164, -1.8274,
0.9268, 0.8414
@ -113,9 +113,9 @@ def test_stack_grouping_points(dtype, device):
-0.6646, -0.6870, -0.1125, -0.2224, -0.3445,
-1.4049, 0.4990, -0.7037, -0.9924, 0.0386
]],
dtype=dtype).cuda()
features_batch_cnt = torch.tensor([3, 3]).int().cuda()
indices_batch_cnt = torch.tensor([6, 6]).int().cuda()
dtype=dtype).to(device)
features_batch_cnt = torch.tensor([3, 3]).int().to(device)
indices_batch_cnt = torch.tensor([6, 6]).int().to(device)
output = grouping_operation(features, idx, features_batch_cnt,
indices_batch_cnt)
expected_output = torch.tensor(
@ -179,5 +179,5 @@ def test_stack_grouping_points(dtype, device):
[-0.3190, -0.3190, -0.3190], [0.7798, 0.7798, 0.7798],
[-0.3693, -0.3693, -0.3693], [-0.9457, -0.9457, -0.9457],
[-0.2942, -0.2942, -0.2942], [-1.8527, -1.8527, -1.8527]]],
dtype=dtype).cuda()
dtype=dtype).to(device)
assert torch.allclose(output, expected_output)