Unit testing on auto-encoder, HPM and Part Net

1 files changed, 23 insertions, 0 deletions

diff --git a/test/hpm.py b/test/hpm.py
new file mode 100644
index 0000000..a68337d
--- /dev/null
+++ b/test/hpm.py
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+import torch
+
+from models import HorizontalPyramidMatching
+
+T, N, C, H, W = 15, 4, 256, 32, 16
+
+
+def test_default_hpm():
+    hpm = HorizontalPyramidMatching(in_channels=C)
+    x = torch.rand(T, N, C, H, W)
+    x = hpm(x)
+    assert tuple(x.size()) == (1 + 2 + 4, T, N, 128)
+
+
+def test_custom_hpm():
+    hpm = HorizontalPyramidMatching(in_channels=2048,
+                                    out_channels=256,
+                                    scales=(1, 2, 4, 8),
+                                    use_avg_pool=True,
+                                    use_max_pool=False)
+    x = torch.rand(T, N, 2048, H, W)
+    x = hpm(x)
+    assert tuple(x.size()) == (1 + 2 + 4 + 8, T, N, 256)