sglangv0.5.2 & support Qwen3-Next-80B-A3B-Instruct

sgl-kernel/tests/spatial/test_greenctx_stream.py

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+import pytest
+import torch
+import torch.nn.functional as F
+from sgl_kernel import create_greenctx_stream_by_value, get_sm_available
+
+
+def test_green_ctx():
+    A = torch.randn(5120, 5120).cuda()
+    B = torch.randn(5120, 5120).cuda()
+    C = torch.matmul(A, B)
+    sm_counts = get_sm_available(0)
+    stream_group = create_greenctx_stream_by_value(sm_counts // 2, sm_counts // 2, 0)
+    with torch.cuda.stream(stream_group[0]):
+        for _ in range(100):
+            result_0 = torch.matmul(A, B)
+    with torch.cuda.stream(stream_group[1]):
+        for _ in range(100):
+            result_1 = torch.matmul(A, B)
+    torch.cuda.synchronize()
+    assert torch.allclose(result_0, C)
+    assert torch.allclose(result_1, C)
+
+
+if __name__ == "__main__":
+    pytest.main([__file__])