Added col_ampere outlier extraction kernel.

1 files changed, 10 insertions, 4 deletions

diff --git a/tests/test_functional.py b/tests/test_functional.py
index 4d06447..2d58fac 100644
--- a/tests/test_functional.py
+++ b/tests/test_functional.py
@@ -1859,9 +1859,9 @@ def test_zp():
 
 def test_extract_outliers():
     for i in range(k):
-        shapeA = (4096, 4*4096)
+        shapeA = (4096, 4096*4)
         idx = torch.unique(torch.randint(0, shapeA[1], size=(10,)).int()).cuda()
-        #idx = torch.Tensor([32]).int().cuda()
+        #idx = torch.Tensor([0]).int().cuda()
         A = torch.randint(-128, 127, size=shapeA, device='cuda').to(torch.int8)
         outliers1 = A[:, idx.long()]
 
@@ -1872,7 +1872,13 @@ def test_extract_outliers():
         assert outliers2.shape[0] == shapeA[0]
         assert outliers2.shape[1] == idx.numel()
 
-        #print(outliers1)
-        #print(outliers2)
+        torch.testing.assert_allclose(outliers1, outliers2)
+
+        CA, SA = F.transform(A, 'col_ampere')
+
+        outliers2 = F.extract_outliers(CA, SA, idx)
+
+        assert outliers2.shape[0] == shapeA[0]
+        assert outliers2.shape[1] == idx.numel()
 
         torch.testing.assert_allclose(outliers1, outliers2)