tf.compat.v1.reduce_any  Computes tf.math.logical_or of elements across dimensions of a tensor. (deprecated arguments)  View aliases  Compat aliases for migration 
See Migration guide for more details. tf.compat.v1.math.reduce_any  
tf.compat.v1.reduce_any(
    input_tensor,
    axis=None,
    keepdims=None,
    name=None,
    reduction_indices=None,
    keep_dims=None
)
 Deprecated: SOME ARGUMENTS ARE DEPRECATED: (keep_dims). They will be removed in a future version. Instructions for updating: keep_dims is deprecated, use keepdims instead 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.Tensor: shape=(), dtype=bool, numpy=True>
tf.reduce_any(x, 0)
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([ True,  True])>
tf.reduce_any(x, 1)
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([ True, False])>

 


 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).  
  reduction_indices   The old (deprecated) name for axis.  
  keep_dims   Deprecated alias for keepdims.   
 


 Returns   The reduced tensor.  
  numpy compatibility Equivalent to np.any  

    
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