tf.variable_axis_size_partitioner
Get a partitioner for VariableScope to keep shards below max_shard_bytes
.
tf.variable_axis_size_partitioner( max_shard_bytes, axis=0, bytes_per_string_element=16, max_shards=None )
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 max_shards
equals None
and no limit on the number of shards is enforced.
One reasonable value for max_shard_bytes
is (64 << 20) - 1
, or almost 64MB
, to keep below the protobuf byte limit.
Args | |
---|---|
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 Variable is of type string, this provides an estimate of how large each scalar in the Variable is. |
max_shards | The maximum number of shards in int created taking precedence over max_shard_bytes . |
Returns | |
---|---|
A partition function usable as the partitioner argument to variable_scope and get_variable . |
Raises | |
---|---|
ValueError | If any of the byte counts are non-positive. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/variable_axis_size_partitioner