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 +1,64 @@
+# 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.
+
+"""Test contrib.tvmjs"""
+
+import tempfile
+
+import numpy as np
+import pytest
+
+import tvm.testing
+from tvm.contrib import tvmjs
+
+dtype = tvm.testing.parameter(
+    "int8",
+    "int16",
+    "int32",
+    "int64",
+    "uint8",
+    "uint16",
+    "uint32",
+    "uint64",
+    "float16",
+    "float32",
+    "float64",
+    "float8_e4m3fn",
+    "float8_e5m2",
+)
+
+
+def test_save_load_float8(dtype):
+    if "float8" in dtype or "bfloat16" in dtype:
+        ml_dtypes = pytest.importorskip("ml_dtypes")
+        np_dtype = np.dtype(getattr(ml_dtypes, dtype))
+    else:
+        np_dtype = np.dtype(dtype)
+
+    arr = np.arange(16, dtype=np_dtype)
+
+    with tempfile.TemporaryDirectory(prefix="tvm_") as temp_dir:
+        tvmjs.dump_tensor_cache({"arr": arr}, temp_dir)
+        cache, _ = tvmjs.load_tensor_cache(temp_dir, tvm.cpu())
+
+    after_roundtrip = cache["arr"].numpy()
+
+    np.testing.assert_array_equal(arr, after_roundtrip)
+
+
+if __name__ == "__main__":
+    tvm.testing.main()