Create hf_model.py

hf_model.py

@@ -0,0 +1,52 @@
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.  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 collections import namedtuple
+from typing import Optional, List, Union
+
+import torch
+from transformers import PretrainedConfig, PreTrainedModel
+from .mamba_vision import *
+from timm.models import create_model, load_checkpoint
+
+
+class MambaVisionConfig(PretrainedConfig):
+
+    def __init__(
+        self,
+        args: Optional[dict] = None,
+        **kwargs,
+    ):
+        self.args = args
+        super().__init__(**kwargs)
+
+
+class MambaVisionModel(PreTrainedModel):
+    """Pretrained Hugging Face model for MambaVision.
+
+    This class inherits from PreTrainedModel, which provides
+    HuggingFace's functionality for loading and saving models.
+    """
+
+    config_class = MambaVisionConfig
+
+    def __init__(self, config):
+        super().__init__(config)
+        MambaVisionArgs = namedtuple("MambaVisionArgs", config.args.keys())
+        args = MambaVisionArgs(**config.args)
+        self.config = config
+        self.model = create_model(args.model)
+
+    def forward(self, x: torch.Tensor):
+        return self.model.forward(x)