DynamicPartition

Partitions `data` into `num_partitions` tensors using indices from `partitions`.

For each index tuple `js` of size `partitions.ndim`, the slice `data[js, ...]` becomes part of `outputs[partitions[js]]`. The slices with `partitions[js] = i` are placed in `outputs[i]` in lexicographic order of `js`, and the first dimension of `outputs[i]` is the number of entries in `partitions` equal to `i`. In detail,

outputs[i].shape = [sum(partitions == i)] + data.shape[partitions.ndim:]
 
     outputs[i] = pack([data[js, ...] for js if partitions[js] == i])
 

`data.shape` must start with `partitions.shape`.

For example:

# Scalar partitions.
     partitions = 1
     num_partitions = 2
     data = [10, 20]
     outputs[0] = []  # Empty with shape [0, 2]
     outputs[1] = [[10, 20]]
 
     # Vector partitions.
     partitions = [0, 0, 1, 1, 0]
     num_partitions = 2
     data = [10, 20, 30, 40, 50]
     outputs[0] = [10, 20, 50]
     outputs[1] = [30, 40]
 

See `dynamic_stitch` for an example on how to merge partitions back.

Raises: * `InvalidArgumentError` in following cases: - If partitions is not in range `[0, num_partiions)` - If `partitions.shape` does not match prefix of `data.shape` argument.

Public Methods

static <T> DynamicPartition<T>	create(Scope scope, Operand<T> data, Operand<Integer> partitions, Long numPartitions) Factory method to create a class wrapping a new DynamicPartition operation.
Iterator<Operand<T>>	iterator()
List<Output<T>>	outputs()

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying Operation
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface java.lang.Iterable

void	forEach(Consumer<? super T> arg0)
abstract Iterator<Operand<T>>	iterator()
Spliterator<Operand<T>>	spliterator()