T - data type for out() output@Operator public final class Cumprod<T> extends PrimitiveOp implements Operand<T>
By default, this op performs an inclusive cumprod, which means that the first element of the input is identical to the first element of the output:
tf.cumprod([a, b, c]) # => [a, a * b, a * b * c]
By setting the `exclusive` kwarg to `True`, an exclusive cumprod is
performed instead:
tf.cumprod([a, b, c], exclusive=True) # => [1, a, a * b]
By setting the `reverse` kwarg to `True`, the cumprod is performed in the
opposite direction:
tf.cumprod([a, b, c], reverse=True) # => [a * b * c, b * c, c]
This is more efficient than using separate `tf.reverse` ops.
The `reverse` and `exclusive` kwargs can also be combined:
tf.cumprod([a, b, c], exclusive=True, reverse=True) # => [b * c, c, 1]
| Modifier and Type | Class and Description |
|---|---|
static class |
Cumprod.Options
Optional attributes for
Cumprod |
operation| Modifier and Type | Method and Description |
|---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T,U extends Number> |
create(Scope scope,
Operand<T> x,
Operand<U> axis,
Cumprod.Options... options)
Factory method to create a class to wrap a new Cumprod operation to the graph.
|
static Cumprod.Options |
exclusive(Boolean exclusive) |
Output<T> |
out() |
static Cumprod.Options |
reverse(Boolean reverse) |
equals, hashCode, toStringpublic static <T,U extends Number> Cumprod<T> create(Scope scope, Operand<T> x, Operand<U> axis, Cumprod.Options... options)
scope - current graph scopex - A `Tensor`. Must be one of the following types: `float32`, `float64`,
`int64`, `int32`, `uint8`, `uint16`, `int16`, `int8`, `complex64`,
`complex128`, `qint8`, `quint8`, `qint32`, `half`.axis - A `Tensor` of type `int32` (default: 0). Must be in the range
`[-rank(x), rank(x))`.options - carries optional attributes valuespublic static Cumprod.Options exclusive(Boolean exclusive)
exclusive - If `True`, perform exclusive cumprod.public static Cumprod.Options reverse(Boolean reverse)
reverse - A `bool` (default: False).public Output<T> asOutput()
OperandInputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput in interface Operand<T>OperationBuilder.addInput(Output)Copyright © 2015–2019. All rights reserved.