tf.raw_ops.Cumprod
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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]
Args |
|---|
x
|
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, qint16, quint16, uint16, complex128, half, uint32, uint64.
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. Must be one of the following types: int32, int64.
A Tensor of type int32 (default: 0). Must be in the range
[-rank(x), rank(x)).
|
exclusive
|
An optional bool. Defaults to False.
If True, perform exclusive cumprod.
|
reverse
|
An optional bool. Defaults to False.
A bool (default: False).
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as x.
|
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.raw_ops.Cumprod\n\n\u003cbr /\u003e\n\nCompute the cumulative product of the tensor `x` along `axis`.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.Cumprod`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Cumprod)\n\n\u003cbr /\u003e\n\n tf.raw_ops.Cumprod(\n x, axis, exclusive=False, reverse=False, name=None\n )\n\nBy default, this op performs an inclusive cumprod, which means that the first\nelement of the input is identical to the first element of the output: \n\n tf.cumprod([a, b, c]) # =\u003e [a, a * b, a * b * c]\n\nBy setting the `exclusive` kwarg to `True`, an exclusive cumprod is\nperformed instead: \n\n tf.cumprod([a, b, c], exclusive=True) # =\u003e [1, a, a * b]\n\nBy setting the `reverse` kwarg to `True`, the cumprod is performed in the\nopposite direction: \n\n tf.cumprod([a, b, c], reverse=True) # =\u003e [a * b * c, b * c, c]\n\nThis is more efficient than using separate [`tf.reverse`](../../tf/reverse) ops.\n\nThe `reverse` and `exclusive` kwargs can also be combined: \n\n tf.cumprod([a, b, c], exclusive=True, reverse=True) # =\u003e [b * c, c, 1]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `x` | A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `complex64`, `int64`, `qint8`, `quint8`, `qint32`, `bfloat16`, `qint16`, `quint16`, `uint16`, `complex128`, `half`, `uint32`, `uint64`. A `Tensor`. Must be one of the following types: `float32`, `float64`, `int64`, `int32`, `uint8`, `uint16`, `int16`, `int8`, `complex64`, `complex128`, `qint8`, `quint8`, `qint32`, `half`. |\n| `axis` | A `Tensor`. Must be one of the following types: `int32`, `int64`. A `Tensor` of type `int32` (default: 0). Must be in the range `[-rank(x), rank(x))`. |\n| `exclusive` | An optional `bool`. Defaults to `False`. If `True`, perform exclusive cumprod. |\n| `reverse` | An optional `bool`. Defaults to `False`. A `bool` (default: False). |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `x`. ||\n\n\u003cbr /\u003e"]]
