Partitioner to allocate minimum size per slice.
tf.compat.v1.min_max_variable_partitioner(
    max_partitions=1,
    axis=0,
    min_slice_size=(256 << 10),
    bytes_per_string_element=16
)
  Returns a partitioner that partitions the variable of given shape and dtype such that each partition has a minimum of min_slice_size slice of the variable. The maximum number of such partitions (upper bound) is given by max_partitions.
| Args | |
|---|---|
| max_partitions | Upper bound on the number of partitions. Defaults to 1. | 
| axis | Axis along which to partition the variable. Defaults to 0. | 
| min_slice_size | Minimum size of the variable slice per partition. Defaults to 256K. | 
| bytes_per_string_element | If the Variableis of type string, this provides an estimate of how large each scalar in theVariableis. | 
| Returns | |
|---|---|
| A partition function usable as the partitionerargument tovariable_scopeandget_variable. | 
    © 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
    https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/compat/v1/min_max_variable_partitioner