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0fbe96a502
### 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>
36 lines
1.3 KiB
Python
36 lines
1.3 KiB
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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try:
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# is op_builder from deepspeed or a 3p version? this should only succeed if it's deepspeed
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# if successful this also means we're doing a local install and not JIT compile path
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from op_builder import __deepspeed__ # noqa: F401 # type: ignore
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from op_builder.builder import OpBuilder
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except ImportError:
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from deepspeed.ops.op_builder.builder import OpBuilder
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class MLUOpBuilder(OpBuilder):
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def builder(self):
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from torch.utils.cpp_extension import CppExtension as ExtensionBuilder
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compile_args = {'cxx': self.strip_empty_entries(self.cxx_args())}
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cpp_ext = ExtensionBuilder(name=self.absolute_name(),
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sources=self.strip_empty_entries(self.sources()),
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include_dirs=self.strip_empty_entries(self.include_paths()),
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libraries=self.strip_empty_entries(self.libraries_args()),
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extra_compile_args=compile_args)
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return cpp_ext
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def cxx_args(self):
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return ['-O3', '-g', '-Wno-reorder']
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def libraries_args(self):
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return []
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