chore: import upstream snapshot with attribution

web/tests/python/webgpu_rpc_test.py

@@ -0,0 +1,83 @@
+# 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.
+"""Simple testcode to test Javascript RPC
+
+To use it, start a rpc proxy with "python -m tvm.exec.rpc_proxy".
+Connect javascript end to the websocket port and connect to the RPC.
+"""
+
+import numpy as np
+
+import tvm
+from tvm import rpc, te
+from tvm.contrib import tvmjs
+from tvm.support import utils
+
+proxy_host = "127.0.0.1"
+proxy_port = 9090
+
+
+def test_rpc():
+    if not tvm.runtime.enabled("rpc"):
+        return
+    # generate the wasm library
+    target = tvm.target.Target(
+        "webgpu", host={"kind": "llvm", "mtriple": "wasm32-unknown-unknown-wasm"}
+    )
+
+    n = te.var("n")
+    A = te.placeholder((n,), name="A")
+    B = te.compute(A.shape, lambda *i: te.log(te.abs(A(*i) + 1)), name="B")
+    mod = tvm.IRModule.from_expr(te.create_prim_func([A, B]))
+    sch = tvm.s_tir.Schedule(mod)
+    (i,) = sch.get_loops(block=sch.get_sblock("B"))
+    i0, i1 = sch.split(i, [None, 32])
+    sch.bind(i0, "blockIdx.x")
+    sch.bind(i1, "threadIdx.x")
+
+    fadd = tvm.build(sch.mod.with_attr("system_lib_prefix", ""), target=target)
+    temp = utils.tempdir()
+
+    wasm_path = temp.relpath("addone_gpu.wasm")
+    fadd.export_library(wasm_path, fcompile=tvmjs.create_tvmjs_wasm)
+
+    wasm_binary = open(wasm_path, "rb").read()
+    remote = rpc.connect(
+        proxy_host,
+        proxy_port,
+        key="wasm",
+        session_constructor_args=["rpc.WasmSession", wasm_binary],
+    )
+
+    def check(remote, size):
+        # basic function checks.
+        dev = remote.webgpu(0)
+        adata = np.random.uniform(size=size).astype(A.dtype)
+        a = tvm.runtime.tensor(adata, dev)
+        b = tvm.runtime.tensor(np.zeros(size, dtype=A.dtype), dev)
+
+        np.testing.assert_equal(a.numpy(), adata)
+        f1 = remote.system_lib()
+        addone = f1.get_function("main")
+        addone(a, b)
+        tvm.testing.assert_allclose(b.numpy(), np.log(np.abs(a.numpy()) + 1), atol=1e-5, rtol=1e-5)
+        print("Test pass..")
+
+    check(remote, 71821 * 32)
+
+
+test_rpc()