ahatamiz commited on
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Create hf_model.py

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  1. hf_model.py +52 -0
hf_model.py ADDED
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+ # Copyright (c) 2023-2024, NVIDIA CORPORATION. All rights reserved.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+
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+ from collections import namedtuple
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+ from typing import Optional, List, Union
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+
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+ import torch
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+ from transformers import PretrainedConfig, PreTrainedModel
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+ from .mamba_vision import *
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+ from timm.models import create_model, load_checkpoint
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+
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+
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+ class MambaVisionConfig(PretrainedConfig):
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+
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+ def __init__(
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+ self,
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+ args: Optional[dict] = None,
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+ **kwargs,
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+ ):
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+ self.args = args
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+ super().__init__(**kwargs)
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+
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+
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+ class MambaVisionModel(PreTrainedModel):
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+ """Pretrained Hugging Face model for MambaVision.
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+
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+ This class inherits from PreTrainedModel, which provides
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+ HuggingFace's functionality for loading and saving models.
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+ """
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+
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+ config_class = MambaVisionConfig
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+
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+ def __init__(self, config):
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+ super().__init__(config)
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+ MambaVisionArgs = namedtuple("MambaVisionArgs", config.args.keys())
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+ args = MambaVisionArgs(**config.args)
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+ self.config = config
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+ self.model = create_model(args.model)
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+
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+ def forward(self, x: torch.Tensor):
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+ return self.model.forward(x)