chore: import upstream snapshot with attribution

2026-07-13 13:36:25 +08:00
commit 26446540fa
3151 changed files with 974126 additions and 0 deletions
@@ -0,0 +1,65 @@
+# 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.
+# Prepare test library for standalone wasm runtime test.
+
+import os
+
+import tvm
+from tvm import relax, te
+from tvm.contrib import tvmjs
+from tvm.script import relax as R
+
+
+def prepare_relax_lib(base_path):
+    pipeline = relax.get_pipeline()
+
+    @tvm.script.ir_module
+    class Mod:
+        @R.function
+        def main(x: R.Tensor(["n"], "float32"), y: R.Tensor(["n"], "float32")):
+            lv0 = R.add(x, y)
+            return lv0
+
+    target = tvm.target.Target({"kind": "llvm", "mtriple": "wasm32-unknown-unknown-wasm"})
+
+    mod = pipeline(Mod)
+    ex = relax.build(mod, target)
+    wasm_path = os.path.join(base_path, "test_relax.wasm")
+    ex.export_library(wasm_path, fcompile=tvmjs.create_tvmjs_wasm)
+
+
+def prepare_tir_lib(base_path):
+    target = {"kind": "llvm", "mtriple": "wasm32-unknown-unknown-wasm"}
+    if not tvm.runtime.enabled("llvm"):
+        raise RuntimeError(f"Target {target} is not enbaled")
+    n = te.var("n")
+    A = te.placeholder((n,), name="A")
+    B = te.compute(A.shape, lambda *i: A(*i) + 1.0, name="B")
+    mod = tvm.IRModule.from_expr(
+        te.create_prim_func([A, B]).with_attr("global_symbol", "add_one")
+    ).with_attr("system_lib_prefix", "")
+
+    fadd = tvm.build(mod, target)
+    wasm_path = os.path.join(base_path, "test_addone.wasm")
+    fadd.export_library(wasm_path, fcompile=tvmjs.create_tvmjs_wasm)
+
+
+if __name__ == "__main__":
+    curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
+    base_path = os.path.join(curr_path, "../../dist/wasm")
+    prepare_tir_lib(base_path)
+    prepare_relax_lib(base_path)