tf.math.reduce_prod

Computes tf.math.multiply of elements across dimensions of a tensor.

View aliases

Main aliases

tf.reduce_prod

tf.math.reduce_prod(
    input_tensor, axis=None, keepdims=False, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Advanced automatic differentiation Sparse weights using structural pruning	Intro to Autoencoders TFP Release Notes notebook (0.12.1) TensorFlow Distributions: A Gentle Introduction

This is the reduction operation for the elementwise tf.math.multiply op.

Reduces input_tensor along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each entry in axis. If keepdims is true, the reduced dimensions are retained with length 1.

If axis is None, all dimensions are reduced, and a tensor with a single element is returned.

For example
>>> x = tf.constant([[1., 2.], [3., 4.]]) >>> tf.math.reduce_prod(x) <tf.Tensor: shape=(), dtype=float32, numpy=24.> >>> tf.math.reduce_prod(x, 0) <tf.Tensor: shape=(2,), dtype=float32, numpy=array([3., 8.], dtype=float32)> >>> tf.math.reduce_prod(x, 1) <tf.Tensor: shape=(2,), dtype=float32, numpy=array([2., 12.], dtype=float32)>

For example

>>> x = tf.constant([[1., 2.], [3., 4.]])
>>> tf.math.reduce_prod(x)
<tf.Tensor: shape=(), dtype=float32, numpy=24.>
>>> tf.math.reduce_prod(x, 0)
<tf.Tensor: shape=(2,), dtype=float32, numpy=array([3., 8.], dtype=float32)>
>>> tf.math.reduce_prod(x, 1)
<tf.Tensor: shape=(2,), dtype=float32, numpy=array([2., 12.],
dtype=float32)>

Args
`input_tensor`	The tensor to reduce. Should have numeric type.
`axis`	The dimensions to reduce. If `None` (the default), reduces all dimensions. Must be in the range `[-rank(input_tensor), rank(input_tensor))`.
`keepdims`	If true, retains reduced dimensions with length 1.
`name`	A name for the operation (optional).

Returns
The reduced tensor.

numpy compatibility

Equivalent to np.prod

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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/math/reduce_prod