chore: import upstream snapshot with attribution

python/paddle/distributed/flex_checkpoint/dcp/metadata.py

@@ -0,0 +1,51 @@
+# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed 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.
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+
+@dataclass(frozen=True)
+class LocalTensorMetadata:
+    """
+    The location of a local tensor in the global tensor.
+    """
+
+    global_offset: tuple[int]
+    local_shape: tuple[int]
+    dtype: str
+    global_shape: tuple[int] | None = None
+    is_flattened: bool = False
+    flattened_range: tuple[int] | None = None
+
+
+@dataclass(frozen=True)
+class LocalTensorIndex:
+    """
+    The identifier of a local tensor.
+    """
+
+    tensor_key: str
+    global_offset: tuple[int]
+    is_flattened: bool = False
+    flattened_range: tuple[int] | None = None
+    replica_id: int | None = None
+    local_shape: tuple[int] | None = None
+
+
+@dataclass
+class Metadata:
+    state_dict_metadata: dict[str, list[LocalTensorMetadata]] = None
+    storage_metadata: dict[LocalTensorIndex, str] = None
+    flat_mapping: dict[str, tuple[str]] = None