mirror of https://github.com/hpcaitech/ColossalAI
parent
24e84eba60
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d373e67b99
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@ -1,14 +1,21 @@
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import operator
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from functools import reduce
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import warnings
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from copy import deepcopy
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from functools import reduce
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from typing import Dict, List
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import torch
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from colossalai.auto_parallel.tensor_shard.deprecated._utils import (
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enumerate_all_possible_1d_sharding,
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enumerate_all_possible_2d_sharding,
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exception_handler,
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)
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from colossalai.auto_parallel.tensor_shard.deprecated.sharding_strategy import ShardingStrategy, StrategiesVector
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from .operator_handler import OperatorHandler
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from colossalai.tensor.shape_consistency import ShapeConsistencyManager
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from colossalai.tensor.sharding_spec import ShardingSpec
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from copy import deepcopy
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from typing import Dict, List
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from colossalai.auto_parallel.tensor_shard.deprecated._utils import exception_handler, enumerate_all_possible_1d_sharding, enumerate_all_possible_2d_sharding
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from .operator_handler import OperatorHandler
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__all__ = ['WhereHandler']
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@ -94,7 +101,7 @@ class WhereHandler(OperatorHandler):
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# compute the resharding cost
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_, _, total_resharding_cost = shape_consistency_manager.shape_consistency(
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input_sharding_spec, input_spec)
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total_resharding_cost = total_resharding_cost['total']
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# we need multiply the size of elem dtype to get correct communication cost
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resharding_cost = total_resharding_cost * size_per_elem_bytes
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resharding_costs[input_node].append(resharding_cost)
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