chore: bump flashinfer version to 0.6.7 (#21422)

Co-authored-by: sglang-bot <sglang-bot@users.noreply.github.com>
Co-authored-by: Baizhou Zhang <sobereddiezhang@gmail.com>

test/registered/lora/test_lora_tp.py

@@ -31,7 +31,7 @@ from sglang.test.test_utils import CustomTestCase, is_in_ci
 
 register_cuda_ci(
     est_time=116,
-    suite="stage-b-test-2-gpu-large",
+    suite="stage-c-test-8-gpu-h200",
 )
 register_amd_ci(
     est_time=116,
@@ -65,6 +65,7 @@ class TestLoRATP(CustomTestCase):
                         max_new_tokens=32,
                         enable_lora_overlap_loading=enable_lora_overlap_loading,
                         test_tag=f"tp={tp_size}, enable_lora_overlap_loading={enable_lora_overlap_loading}",
+                        attention_backend="fa3",
                     )
 
     def test_ci_lora_models(self):

test/registered/piecewise_cuda_graph/test_piecewise_cuda_graph_support_1_gpu.py

@@ -126,8 +126,25 @@ class TestPiecewiseCudaGraphQwen25VLEmbedding(CustomTestCase):
         engine.shutdown()
         self.assertGreater(len(out_without_pcg), 0)
 
+        t_out = torch.tensor(out)
+        t_out_without_pcg = torch.tensor(out_without_pcg)
+        max_abs_diff = (t_out - t_out_without_pcg).abs().max().item()
+        max_rel_diff = (
+            ((t_out - t_out_without_pcg).abs() / (t_out_without_pcg.abs() + 1e-8))
+            .max()
+            .item()
+        )
+        print(
+            f"PCG embedding diff: max_abs={max_abs_diff:.6f}, max_rel={max_rel_diff:.6f}"
+        )
         self.assertTrue(
-            torch.allclose(torch.tensor(out), torch.tensor(out_without_pcg))
+            torch.allclose(
+                t_out,
+                t_out_without_pcg,
+                atol=1e-2,
+                rtol=1e-2,
+            ),
+            f"Piecewise CUDA graph embedding mismatch: max_abs_diff={max_abs_diff}, max_rel_diff={max_rel_diff}",
         )