chore: import upstream snapshot with attribution

apps/android_rpc/tests/android_rpc_test.py

@@ -0,0 +1,86 @@
+# 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: F821
+"""Testcode for Android RPC.
+
+To use it, start an RPC tracker with "python -m tvm.exec.rpc_tracker".
+Use the tracker's address and port when configuring the RPC app.
+Use "android" as the key if you wish to avoid modifying this script.
+"""
+
+import os
+
+import numpy as np
+
+import tvm
+from tvm import rpc, te
+from tvm.support import ndk, utils
+
+# Set to be address of tvm proxy.
+tracker_host = os.environ["TVM_TRACKER_HOST"]
+tracker_port = int(os.environ["TVM_TRACKER_PORT"])
+key = "android"
+
+# Change target configuration.
+# Run `adb shell cat /proc/cpuinfo` to find the arch.
+arch = "arm64"
+target = {"kind": "llvm", "mtriple": f"{arch}-linux-android"}
+
+# whether enable to execute test on OpenCL target
+test_opencl = False
+# whether enable to execute test on Vulkan target
+test_vulkan = False
+
+
+def test_rpc_module():
+    # graph
+    n = tvm.runtime.convert(1024)
+    A = te.placeholder((n,), name="A")
+    B = te.compute(A.shape, lambda *i: A(*i) + 1.0, name="B")
+    a_np = np.random.uniform(size=1024).astype(A.dtype)
+    temp = utils.tempdir()
+
+    # Establish remote connection with target hardware
+    tracker = rpc.connect_tracker(tracker_host, tracker_port)
+    remote = tracker.request(key, priority=0, session_timeout=60)
+
+    mod = tvm.IRModule.from_expr(te.create_prim_func([A, B]).with_attr("global_symbol", "myadd"))
+    sch = tvm.s_tir.Schedule(mod)
+    (x,) = sch.get_loops(block=sch.get_sblock("B"))
+    xo, xi = sch.split(i, [None, 32])
+    sch.bind(xo, "blockIdx.x")
+    sch.bind(xi, "threadIdx.x")
+
+    if test_opencl:
+        f = tvm.compile(sch.mod, target=tvm.target.Target("opencl", host=target))
+        path_dso_cl = temp.relpath("dev_lib_cl.so")
+        f.export_library(path_dso_cl, fcompile=ndk.create_shared)
+
+        print("Run GPU(OpenCL Flavor) test ...")
+        dev = remote.cl(0)
+        remote.upload(path_dso_cl)
+        f1 = remote.load_module("dev_lib_cl.so")
+        a = tvm.runtime.tensor(a_np, dev)
+        b = tvm.runtime.tensor(np.zeros(1024, dtype=A.dtype), dev)
+        time_f = f1.time_evaluator(f1.entry_name, dev, number=10)
+        cost = time_f(a, b).mean
+        print(f"{cost:g} secs/op\n")
+        np.testing.assert_equal(b.numpy(), a.numpy() + 1)
+
+
+if __name__ == "__main__":
+    test_rpc_module()