chore: import upstream snapshot with attribution

python/tvm/target/__init__.py

@@ -0,0 +1,38 @@
+# isort: skip_file
+# 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.
+"""Target description and codegen module.
+
+TVM uses JSON-based target configuration. Targets can be constructed via:
+
+- A config dictionary: ``Target({"kind": "cuda", "arch": "sm_80"})``
+- A tag name: ``Target("nvidia/nvidia-a100")``
+- A tag with overrides: ``Target({"tag": "nvidia/nvidia-a100", "l2_cache_size_bytes": 12345})``
+- A kind name: ``Target("cuda")``
+
+Use ``target.attrs["key"]`` to access target attributes such as
+``"arch"``, ``"max_num_threads"``, ``"mcpu"``, ``"libs"``, etc.
+
+Use :py:func:`tvm.target.list_tags` to list all available target tags,
+and :py:func:`tvm.target.register_tag` to register new tags.
+"""
+
+from .target import Target, TargetKind
+from .virtual_device import VirtualDevice
+from .tag import list_tags, register_tag
+from . import codegen
+from . import tag_registry  # registers tags on import