tf.math.reduce_all     View source on GitHub    Computes the "logical and" of elements across dimensions of a tensor.  View aliases  Main aliases 
tf.reduce_all  
tf.math.reduce_all(
    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 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_all(x)  # False
tf.reduce_all(x, 0)  # [False, False]
tf.reduce_all(x, 1)  # [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).   
 


 Returns   The reduced tensor.  
 Numpy Compatibility Equivalent to np.all