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### Description This PR includes Cambricon MLU accelerator support. With this PR, DeepSpeed supports MLU as backend for training and inference tasks. --------- Co-authored-by: Logan Adams <114770087+loadams@users.noreply.github.com>
29 lines
669 B
Python
29 lines
669 B
Python
# Copyright (c) Microsoft Corporation.
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# Copyright (c) 2024 Cambricon Corporation.
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# SPDX-License-Identifier: Apache-2.0
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# DeepSpeed Team
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from .builder import MLUOpBuilder
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class CPUAdamBuilder(MLUOpBuilder):
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BUILD_VAR = "DS_BUILD_CPU_ADAM"
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NAME = "cpu_adam"
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def __init__(self):
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super().__init__(name=self.NAME)
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def absolute_name(self):
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return f'deepspeed.ops.adam.{self.NAME}_op'
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def sources(self):
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return ['csrc/adam/cpu_adam.cpp', 'csrc/adam/cpu_adam_impl.cpp']
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def libraries_args(self):
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args = super().libraries_args()
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return args
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def include_paths(self):
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return ['csrc/includes']
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