zhuochenKIDD commented on a change in pull request #7616:
URL: https://github.com/apache/tvm/pull/7616#discussion_r595107365



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File path: python/tvm/contrib/cu_graph/cugraph_runtime.py
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@@ -0,0 +1,62 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""Graph runtime test cuGraph"""
+import tvm._ffi
+
+from tvm._ffi.base import string_types
+from tvm.contrib import graph_runtime
+
+
+def create(graph_json_str, libmod, ctx):
+    assert isinstance(graph_json_str, string_types)
+    try:
+        ctx, num_rpc_ctx, device_type_id = 
graph_runtime.get_device_ctx(libmod, ctx)
+        if num_rpc_ctx == len(ctx):
+            pass
+        else:
+            fcreate = 
tvm._ffi.get_global_func("tvm.graph_runtime_cugraph.create")
+    except ValueError:
+        raise ValueError(
+            "Please set '(USE_GRAPH_RUNTIME_CUGRAPH ON)' in "
+            "config.cmake and rebuild TVM to enable cu_graph test mode"

Review comment:
       It is because we are currently evaluating CUDA graph API vs kernel 
launch, and it's keep on going, using TVM is more convenient to do so on new 
workloads than TF Runtime. And also currently only Kernel-kind cuda node is in 
captured CUDA graph, in might be more benefits when Memcpy-kind node or using 
manually created cuda graph, so currently I am not sure current stream-capture 
way is the optimal way, perhaps need more test




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