tf.compat.v1.min_max_variable_partitioner
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 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