tf.variable_axis_size_partitioner( max_shard_bytes, axis=0, bytes_per_string_element=16, max_shards=None )
See the guide: Variables > Variable Partitioners for Sharding
Get a partitioner for VariableScope to keep shards below
This partitioner will shard a Variable along one axis, attempting to keep the maximum shard size below
max_shard_bytes. In practice, this is not always possible when sharding along only one axis. When this happens, this axis is sharded as much as possible (i.e., every dimension becomes a separate shard).
If the partitioner hits the
max_shards limit, then each shard may end up larger than
max_shard_bytes. By default
None and no limit on the number of shards is enforced.
One reasonable value for
(64 << 20) - 1, or almost
64MB, to keep below the protobuf byte limit.
max_shard_bytes: The maximum size any given shard is allowed to be.
axis: The axis to partition along. Default: outermost axis.
bytes_per_string_element: If the
Variableis of type string, this provides an estimate of how large each scalar in the
max_shards: The maximum number of shards in int created taking precedence over
A partition function usable as the
partitioner argument to
ValueError: If any of the byte counts are non-positive.
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.