From d9e10e11846d911e8354cd024967d3a17a88083c Mon Sep 17 00:00:00 2001 From: Chai <63941834+673958639@users.noreply.github.com> Date: Mon, 29 Jan 2024 19:18:01 +0800 Subject: [PATCH] Fix ut of stack_grouping_points (#3026) --- tests/test_ops/test_group_points.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/test_ops/test_group_points.py b/tests/test_ops/test_group_points.py index a9610c780e..e8eaa66164 100644 --- a/tests/test_ops/test_group_points.py +++ b/tests/test_ops/test_group_points.py @@ -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)