chore: import upstream snapshot with attribution

web/tests/node/test_tensor.js

@@ -0,0 +1,56 @@
+/*
+ * 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.
+ */
+const path = require("path");
+const fs = require("fs");
+const assert = require("assert");
+const tvmjs = require("../../dist/tvmjs.bundle")
+
+const wasmPath = tvmjs.wasmPath();
+const wasmSource = fs.readFileSync(path.join(wasmPath, "tvmjs_runtime.wasm"));
+
+let tvm = new tvmjs.Instance(
+  new WebAssembly.Module(wasmSource),
+  tvmjs.createPolyfillWASI()
+);
+
+// Basic fields.
+assert(tvm.listGlobalFuncNames() !== undefined);
+
+// Test ndarray
+function testArrayCopy(dtype, arrayType) {
+  let data = [1, 2, 3, 4, 5, 6];
+  let a = tvm.empty([2, 3], dtype).copyFrom(data);
+
+  assert(a.device.toString() == "cpu:0");
+  assert(a.shape[0] == 2 && a.shape[1] == 3);
+
+  let ret = a.toArray();
+  assert(ret instanceof arrayType);
+  assert(ret.toString() == arrayType.from(data).toString());
+}
+
+test("array copy", () => {
+  tvm.withNewScope(() => {
+    testArrayCopy("float32", Float32Array);
+    testArrayCopy("int", Int32Array);
+    testArrayCopy("int8", Int8Array);
+    testArrayCopy("uint8", Uint8Array);
+    testArrayCopy("float64", Float64Array);
+  });
+});