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- # Copyright 2025 The HuggingFace Inc. team. 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 ..core_model_loading import ConversionOps
- from ..utils import is_torch_available
- if is_torch_available():
- import torch
- class QuarkDeserialize(ConversionOps):
- def __init__(self, hf_quantizer):
- self.hf_quantizer = hf_quantizer
- def convert(
- self,
- input_dict: torch.Tensor,
- full_layer_name: str | None = None,
- **kwargs,
- ) -> dict[str, torch.Tensor]:
- value = list(input_dict.values())[0]
- value = value[0] if isinstance(value, list) else value
- return {full_layer_name: value}
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