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75 lines
2.8 KiB
75 lines
2.8 KiB
# Copyright (c) 2021 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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from . import collective
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from .. import core
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OpRole = core.op_proto_and_checker_maker.OpRole
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from paddle.distributed import fleet
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class AscendTranspiler(collective.Collective):
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def __init__(self, startup_program, main_program):
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self.nrings = 1
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super(AscendTranspiler, self).__init__(self.nrings)
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self._startup_program = startup_program
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self._main_program = main_program
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def _insert_allreduce_ops(self):
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block = self._main_program.global_block()
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ring_id = -1
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grad = None
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for idx, op in reversed(list(enumerate(block.ops))):
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if self._is_backward_op(op) and \
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self.op_role_var_key in op.attr_names:
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op_role_var = op.all_attrs()[self.op_role_var_key]
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if len(op_role_var) == 0:
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continue
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assert len(op_role_var) % 2 == 0
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offset = idx
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for i in range(0, len(op_role_var), 2):
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param = block.vars[op_role_var[i]]
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grad = block.vars[op_role_var[i + 1]]
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if param.is_distributed:
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continue
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# As we search ops reversedly, we should insert c_allreduce_sum
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# op in the same way to keep the ring_id alternate
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ring_id = (ring_id + 1) % self.nrings
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block._insert_op(
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offset + 1,
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type='c_allreduce_sum',
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inputs={'X': grad},
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outputs={'Out': grad},
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attrs={
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'ring_id': ring_id,
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self.op_role_key: OpRole.Backward
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})
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block._insert_op(
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offset + 2,
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type='scale',
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inputs={'X': grad},
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outputs={'Out': grad},
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attrs={
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'scale': 1.0 / fleet.worker_num(),
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self.op_role_key: OpRole.Backward
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})
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if grad is None:
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return
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def transpile(self):
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self._insert_allreduce_ops()
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