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

Used in the notebooks

Used in the guide Used in the tutorials

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.Tensor: shape=(), dtype=float32, numpy=24.>
tf.math.reduce_prod(x, 0)