jtuyls commented on a change in pull request #6343:
URL: https://github.com/apache/incubator-tvm/pull/6343#discussion_r479613590



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File path: tests/python/contrib/test_vitis_ai_codegen.py
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@@ -0,0 +1,203 @@
+# 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.
+# pylint: disable=no-else-return, unidiomatic-typecheck, invalid-name, W0611
+"""Vitis-AI codegen tests."""
+
+import numpy as np
+
+import tvm
+from tvm import relay
+from tvm.relay import transform
+from tvm.relay.op.contrib.vitis_ai import annotation
+from tvm.contrib.target import vitis_ai
+
+import pyxir
+import pyxir.contrib.target.DPUCADX8G
+
+def set_func_attr(func, compile_name, symbol_name):
+    func = func.with_attr("Primitive", tvm.tir.IntImm("int32", 1))
+    func = func.with_attr("Inline", tvm.tir.IntImm("int32", 1))
+    func = func.with_attr("Compiler", compile_name)
+    func = func.with_attr("global_symbol", symbol_name)
+    return func
+
+def _create_graph():
+    shape = (10, 10)
+    mod = tvm.IRModule()
+    x = relay.var('x', shape=shape)
+    y = relay.var('y', shape=shape)
+    z = x + x
+    p = y * y
+    func = relay.Function([x, y], p - z)
+    mod["main"] = func
+    params = {}
+    params["x"] = np.random.rand(10, 10).astype('float32')
+    params["y"] = np.random.rand(10, 10).astype('float32')
+    return mod, params
+
+
+def _construct_model(func, params=None):

Review comment:
       Yes, that's mainly what we want to test here. We could additionally test 
that the operation is actually assigned for execution on the DPU accelerator. 
What other tests would you add?




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