chore: import upstream snapshot with attribution

tests/python/relax/test_transform_expand_tuple_args.py

@@ -0,0 +1,84 @@
+# 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.
+# ruff: noqa: F401
+
+import tvm
+import tvm.testing
+from tvm.script import ir as I
+from tvm.script import relax as R
+from tvm.script import tirx as T
+
+
+def test_simple():
+    @I.ir_module
+    class Before:
+        @R.function
+        def main(A: R.Tensor, B: R.Tensor):
+            return Before.func((A, B))
+
+        @R.function(private=True)
+        def func(args: R.Tuple([R.Tensor, R.Tensor])) -> R.Tensor:
+            return args[0]
+
+    @I.ir_module
+    class Expected:
+        @R.function
+        def main(A: R.Tensor, B: R.Tensor):
+            return Expected.func(A, B)
+
+        @R.function(private=True)
+        def func(A: R.Tensor, B: R.Tensor) -> R.Tensor:
+            return A
+
+    After = tvm.relax.transform.ExpandTupleArguments()(Before)
+    tvm.ir.assert_structural_equal(After, Expected)
+
+
+def test_nested():
+    @I.ir_module
+    class Before:
+        @R.function
+        def main(A: R.Tensor, B: R.Tensor, C: R.Tensor, D: R.Tensor) -> R.Tensor:
+            return Before.func(((A, B), (C, D)))
+
+        @R.function(private=True)
+        def func(
+            args: R.Tuple(
+                [
+                    R.Tuple([R.Tensor, R.Tensor]),
+                    R.Tuple([R.Tensor, R.Tensor]),
+                ]
+            ),
+        ) -> R.Tensor:
+            return args[0][1]
+
+    @I.ir_module
+    class Expected:
+        @R.function
+        def main(A: R.Tensor, B: R.Tensor, C: R.Tensor, D: R.Tensor) -> R.Tensor:
+            return Expected.func(A, B, C, D)
+
+        @R.function(private=True)
+        def func(A: R.Tensor, B: R.Tensor, C: R.Tensor, D: R.Tensor) -> R.Tensor:
+            return B
+
+    After = tvm.relax.transform.ExpandTupleArguments()(Before)
+    tvm.ir.assert_structural_equal(After, Expected)
+
+
+if __name__ == "__main__":
+    tvm.testing.main()