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6 changes: 3 additions & 3 deletions paddle/fluid/framework/distributed_strategy.proto
Original file line number Diff line number Diff line change
Expand Up @@ -139,9 +139,9 @@ message DistributedStrategy {
optional bool fuse_all_reduce_ops = 18 [ default = true ];
optional int32 fuse_grad_size_in_MB = 19 [ default = 32 ];
optional float fuse_grad_size_in_TFLOPS = 20 [ default = 50 ];
optional bool cudnn_exhaustive_search = 21 [ default = true ];
optional int32 conv_workspace_size_limit = 22 [ default = 4000 ];
optional bool cudnn_batchnorm_spatial_persistent = 23 [ default = true ];
optional bool cudnn_exhaustive_search = 21 [ default = false ];
optional int32 conv_workspace_size_limit = 22 [ default = 512 ];
optional bool cudnn_batchnorm_spatial_persistent = 23 [ default = false ];
optional bool adaptive_localsgd = 24 [ default = false ];
optional bool fp16_allreduce = 25 [ default = false ];
optional bool sharding = 26 [ default = false ];
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16 changes: 16 additions & 0 deletions python/paddle/distributed/fleet/base/distributed_strategy.py
Original file line number Diff line number Diff line change
Expand Up @@ -115,6 +115,22 @@ def __init__(self):

"""
self.strategy = distributed_strategy_pb2.DistributedStrategy()

# Set the default values of the following flags to the ones set by users
key = 'FLAGS_cudnn_batchnorm_spatial_persistent'
if core.globals().is_public(key):
self.strategy.cudnn_batchnorm_spatial_persistent = bool(
core.globals()[key])
key = 'FLAGS_conv_workspace_size_limit'
if core.globals().is_public(key):
self.strategy.conv_workspace_size_limit = int(core.globals()[key])
key = 'FLAGS_cudnn_exhaustive_search'
if core.globals().is_public(key):
self.strategy.cudnn_exhaustive_search = bool(core.globals()[key])
key = 'FLAGS_sync_nccl_allreduce'
if core.globals().is_public(key):
self.strategy.sync_nccl_allreduce = bool(core.globals()[key])

self.__lock_attr = True

def __setattr__(self, key, value):
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