Compute the cumulative product of the tensor x along axis.
tf.raw_ops.Cumprod(
x, axis, exclusive=False, reverse=False, name=None
)
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]
Returns | |
|---|---|
A Tensor. Has the same type as x.
|