tf.compat.v1.MetaGraphDef.SignatureDefEntryMetaGraphDef.SignatureDefEntry

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`.

TensorFlow

tf.compat / v1 / v1.MetaGraphDef.SignatureDefEntryMetaGraphDef.SignatureDefEntry

Args

Returns

TensorFlow

tf

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tf.compat / v1 / v1.MetaGraphDef.SignatureDefEntryMetaGraphDef.SignatureDefEntry

Args

Returns