chore: import upstream snapshot with attribution

tests/python/runtime/test_runtime_measure.py

@@ -0,0 +1,71 @@
+# 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 ctypes
+import time
+
+import tvm
+from tvm import te
+from tvm.runtime.module import BenchmarkResult
+from tvm.support.utils import tempdir
+
+
+def test_min_repeat_ms():
+    tmp = tempdir()
+    filename = tmp.relpath("log")
+
+    @tvm.register_global_func
+    def my_debug(filename):
+        """one call lasts for 100 ms and writes one character to a file"""
+        time.sleep(0.1)
+        with open(filename, "a") as fout:
+            fout.write("c")
+
+    X = te.compute((), lambda: tvm.tirx.call_packed("my_debug", filename))
+    func = tvm.tirx.build(te.create_prim_func([X]))
+
+    x = tvm.runtime.empty((), dtype="int32")
+    ftimer = func.time_evaluator(func.entry_name, tvm.cpu(), number=1, repeat=1)
+    ftimer(x)
+
+    with open(filename) as fin:
+        ct = len(fin.readline())
+
+    assert ct == 2
+
+    ftimer = func.time_evaluator(func.entry_name, tvm.cpu(), number=1, repeat=1, min_repeat_ms=1000)
+    ftimer(x)
+
+    # make sure we get more than 10 calls
+    with open(filename) as fin:
+        ct = len(fin.readline())
+
+    assert ct > 10 + 2
+
+
+def test_benchmark_result():
+    r = BenchmarkResult([1, 2, 2, 5])
+    assert r.mean == 2.5
+    assert r.median == 2.0
+    assert r.min == 1
+    assert r.max == 5
+    assert r.std == 1.5
+
+
+if __name__ == "__main__":
+    test_min_repeat_ms()
+    test_benchmark_result()