48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
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# Copyright 2025 The HuggingFace Team. 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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"FP-Quant integration file"
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from ..utils import (
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is_fp_quant_available,
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)
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if is_fp_quant_available():
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from fp_quant import FPQuantConfig as FPQuantLinearConfig
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from fp_quant import FPQuantDtype
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from transformers.utils.quantization_config import FPQuantConfig
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def adapt_fp_quant_config(config: FPQuantConfig):
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if config.forward_dtype == "mxfp4":
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forward_dtype = FPQuantDtype.MXFP4
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else:
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raise ValueError(f"Unsupported forward dtype: {config.forward_dtype}")
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if config.backward_dtype == "bf16":
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backward_dtype = FPQuantDtype.BF16
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else:
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raise ValueError(f"Unsupported backward dtype: {config.backward_dtype}")
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return FPQuantLinearConfig(
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forward_dtype=forward_dtype,
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forward_method=config.forward_method,
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backward_dtype=backward_dtype,
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store_master_weights=config.store_master_weights,
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hadamard_group_size=config.hadamard_group_size,
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pseudoquantization=config.pseudoquantization,
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modules_to_not_convert=config.modules_to_not_convert,
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)
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