Update sgl-kernel UTs for activation/topk/norm/rope kernels (#6452)

test/srt/cpu/test_activation.py

@@ -0,0 +1,33 @@
+import itertools
+import unittest
+
+import sgl_kernel
+import torch
+import torch.nn.functional as F
+from utils import SiluAndMul, precision
+
+from sglang.test.test_utils import CustomTestCase
+
+
+class TestActivation(CustomTestCase):
+    M = [128, 129, 257]
+    N = [22016, 22018]
+    dtype = [torch.float16, torch.bfloat16]
+
+    def _activation_test(self, m, n, dtype):
+        x = torch.randn([m, n], dtype=dtype)
+
+        out = torch.ops.sgl_kernel.silu_and_mul_cpu(x)
+        ref_out = SiluAndMul(x)
+
+        atol = rtol = precision[ref_out.dtype]
+        self.assertTrue(torch.allclose(ref_out, out, atol=atol, rtol=rtol))
+
+    def test_activation(self):
+        for params in itertools.product(self.M, self.N, self.dtype):
+            with self.subTest(m=params[0], n=params[1], dtype=params[2]):
+                self._activation_test(*params)
+
+
+if __name__ == "__main__":
+    unittest.main()