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tf.compat.v1.min_max_variable_partitioner

Partitioner to allocate minimum size per slice.

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 Variable is of type string, this provides an estimate of how large each scalar in the Variable is.
Returns
A partition function usable as the partitioner argument to variable_scope and get_variable.

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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/r2.3/api_docs/python/tf/compat/v1/min_max_variable_partitioner