60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. 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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import paddle
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import paddle.distributed as dist
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def get_mesh(pp_idx=None):
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"""
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获得pp_idx的mesh
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"""
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mesh = dist.fleet.auto.get_mesh()
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if pp_idx is not None and "pp" in mesh.dim_names:
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mesh = mesh.get_mesh_with_dim("pp", pp_idx)
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return mesh
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def einsum(rule, a, b):
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"""
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Use other ops to replace einsum. The implementation
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is from https://github.com/deepspeedai/DeepSpeed.
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"""
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if rule == "s,se->se":
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return a.reshape([a.shape[0], -1]) * b
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elif rule == "se,sc->sec":
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return a.unsqueeze(2) * b.unsqueeze(1)
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elif rule == "se,se->s":
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return paddle.bmm(a.unsqueeze(1), b.unsqueeze(2)).reshape(-1)
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elif rule == "se,sec->sec":
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return paddle.unsqueeze(a, axis=2) * b
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elif rule == "sec,sm->ecm":
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s, e, c = a.shape
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m = b.shape[1]
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return paddle.matmul(a.reshape([a.shape[0], -1]).t(), b).reshape([e, -1, m])
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elif rule == "sec,ecm->sm":
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return paddle.matmul(a.reshape([a.shape[0], -1]), b.reshape([-1, b.shape[-1]]))
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elif rule == "ks,ksm->sm":
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k = b.shape[0]
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s = b.shape[1]
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m = b.shape[2]
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# [k, s] -> [s, k] -> [s, 1, k]
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a = a.t().unsqueeze(1)
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# [k,s,m] -> [k, sm] -> [sm, k] -> [s, m, k]
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b = b.reshape([k, -1]).t().reshape([s, m, k])
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# bmm([s, 1, k], [s, m, k]^t) -> [s, m, 1]
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return paddle.bmm(a, b.transpose(1, 2)).squeeze(2)
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else:
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return paddle.einsum(rule, a, b)
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