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Expose name argument to TF allreduce operation. #2325

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merged 1 commit into from Sep 24, 2020
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Expose name argument to TF allreduce operation. #2325

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7 changes: 5 additions & 2 deletions horovod/tensorflow/__init__.py
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Expand Up @@ -52,7 +52,8 @@

def allreduce(tensor, average=None, device_dense='', device_sparse='',
compression=Compression.none, op=None,
prescale_factor=1.0, postscale_factor=1.0):
prescale_factor=1.0, postscale_factor=1.0,
name=None):
"""Perform an allreduce on a tf.Tensor or tf.IndexedSlices.

This function performs a bandwidth-optimal ring allreduce on the input
Expand All @@ -79,6 +80,7 @@ def allreduce(tensor, average=None, device_dense='', device_sparse='',
Defaults to Average if None is given.
prescale_factor: Multiplicative factor to scale tensor before allreduce.
postscale_factor: Multiplicative factor to scale tensor after allreduce.
name: A name of the allreduce operation

Returns:
A tensor of the same shape and type as `tensor`, summed across all
Expand Down Expand Up @@ -116,7 +118,8 @@ def allreduce(tensor, average=None, device_dense='', device_sparse='',
tensor_compressed, ctx = compression.compress(tensor)
summed_tensor_compressed = _allreduce(tensor_compressed, op=op,
prescale_factor=prescale_factor,
postscale_factor=postscale_factor)
postscale_factor=postscale_factor,
name=name)
summed_tensor = compression.decompress(summed_tensor_compressed, ctx)
if op == Adasum:
if 'CPU' not in tensor.device and gpu_available('tensorflow'):
Expand Down