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meridian.backend.reduce_any

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

  meridian 
 . 
 backend 
 . 
 reduce_any 
 ( 
 input_tensor 
 , 
 axis 
 = 
 None 
 , 
 keepdims 
 = 
 False 
 , 
 name 
 = 
 None 
 )

This is the reduction operation for the elementwise tf.math.logical_or 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 of the entries in axis , which must be unique. 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([[True, True], [False, False]]) tf.reduce_any(x) tf.reduce_any(x, 0) tf.reduce_any(x, 1) ```

Args

input_tensor

The boolean tensor to reduce.

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.any

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For example

Args

Returns

numpy compatibility

meridian.backend.reduce_any