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PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

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# Copyright (c) 2021 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 . import qat # noqa: F401
from .functional_layers import ( # noqa: F401
FloatFunctionalLayer,
add,
concat,
divide,
flatten,
matmul,
multiply,
reshape,
subtract,
transpose,
)
from .quant_layers import QuantStub # noqa: F401
from .quantized_linear import ( # noqa: F401
apply_per_channel_scale,
llm_int8_linear,
weight_dequantize,
weight_only_linear,
weight_quantize,
)
2023-02-16 19:31:28 +08:00
from .stub import Stub
__all__ = [
"Stub",
"weight_only_linear",
"llm_int8_linear",
"weight_quantize",
"weight_dequantize",
]