1 files changed, 35 insertions, 0 deletions
diff --git a/test/cuda.py b/test/cuda.py
new file mode 100644
index 0000000..ef0ea36
--- /dev/null
+++ b/test/cuda.py
@@ -0,0 +1,35 @@
+import torch
+
+from models import RGBPartNet
+
+P, K = 2, 4
+N, T, C, H, W = P * K, 10, 3, 64, 32
+
+
+def rand_x1_x2_y(n, t, c, h, w):
+    x1 = torch.rand(n, t, c, h, w)
+    x2 = torch.rand(n, t, c, h, w)
+    y = []
+    for p in range(P):
+        y += [p] * K
+    y = torch.as_tensor(y)
+    return x1, x2, y
+
+
+def test_default_rgb_part_net_cuda():
+    rgb_pa = RGBPartNet()
+    rgb_pa = rgb_pa.cuda()
+    x1, x2, y = rand_x1_x2_y(N, T, C, H, W)
+    x1, x2, y = x1.cuda(), x2.cuda(), y.cuda()
+
+    rgb_pa.train()
+    loss, metrics = rgb_pa(x1, x2, y)
+    _, _, _, _ = metrics
+    assert loss.device == torch.device('cuda', torch.cuda.current_device())
+    assert tuple(loss.size()) == ()
+    assert isinstance(_, float)
+
+    rgb_pa.eval()
+    x = rgb_pa(x1, x2)
+    assert x.device == torch.device('cuda', torch.cuda.current_device())
+    assert tuple(x.size()) == (23, N, 256)