wehub-resource-sync
68 lines
2.6 KiB
Python
Executable File
68 lines
2.6 KiB
Python
Executable File
# Copyright (c) Microsoft Corporation.
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# SPDX-License-Identifier: Apache-2.0
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# BSD 3- Clause License Copyright (c) 2023, Tecorigin Co., Ltd. All rights
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# reserved.
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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# Redistributions of source code must retain the above copyright notice,
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# this list of conditions and the following disclaimer.
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# Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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# Neither the name of the copyright holder nor the names of its contributors
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# may be used to endorse or promote products derived from this software
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# without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
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# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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# INTERRUPTION)
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# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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# STRICT LIABILITY,OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY
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# WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY
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# OF SUCH DAMAGE.
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# DeepSpeed Team
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from .builder import SDAAOpBuilder
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try:
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import torch
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except ImportError as e:
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pass
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class SDAAFusedAdam:
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@staticmethod
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def multi_tensor_adam(chunk_size, noop_flag_buffer, tensor_lists, lr, beta1, beta2, epsilon, step, adam_w_mode,
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bias_correction, weight_decay, *args):
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g_tensor_lis, p_tensor_lis, m_tensor_lis, v_tensor_lis = tensor_lists
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torch.ops.sdaa.fused_adam(g_tensor_lis, p_tensor_lis, m_tensor_lis, v_tensor_lis, [], beta1, beta2, epsilon,
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lr, weight_decay, adam_w_mode, step, bias_correction)
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class FusedAdamBuilder(SDAAOpBuilder):
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BUILD_VAR = "DS_BUILD_FUSED_ADAM"
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NAME = "fused_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 []
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def include_paths(self):
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return []
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def load(self, verbose=True):
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return SDAAFusedAdam
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