tf.compat.v1.min_max_variable_partitioner | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.min_max_variable_partitioner
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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 bymax_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 tovariable_scope and get_variable. |
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Last updated 2024-04-26 UTC.