tf.compat.v2.reduce_prod
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Computes the product of elements across dimensions of a tensor.
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`tf.compat.v2.math.reduce_prod`
tf.compat.v2.reduce_prod(
input_tensor, axis=None, keepdims=False, name=None
)
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.
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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Last updated 2020-10-01 UTC.
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