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Computes number of nonzero elements across dimensions of a tensor. (deprecated arguments) (deprecated arguments)
tf.compat.v1.count_nonzero(
    input_tensor=None, axis=None, keepdims=None, dtype=tf.dtypes.int64, name=None,
    reduction_indices=None, keep_dims=None, input=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 has no entries, all dimensions are reduced, and a
tensor with a single element is returned.
For example:
x = tf.constant([[0, 1, 0], [1, 1, 0]])
tf.math.count_nonzero(x)  # 3
tf.math.count_nonzero(x, 0)  # [1, 2, 0]
tf.math.count_nonzero(x, 1)  # [1, 2]
tf.math.count_nonzero(x, 1, keepdims=True)  # [[1], [2]]
tf.math.count_nonzero(x, [0, 1])  # 3
For example:
x = tf.constant(["", "a", "  ", "b", ""])
tf.math.count_nonzero(x) # 3, with "a", "  ", and "b" as nonzero strings.
| Args | |
|---|---|
| input_tensor | The tensor to reduce. Should be of numeric type, bool, orstring. | 
| 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. | 
| dtype | The output dtype; defaults to tf.int64. | 
| name | A name for the operation (optional). | 
| reduction_indices | The old (deprecated) name for axis. | 
| keep_dims | Deprecated alias for keepdims. | 
| input | Overrides input_tensor. For compatibility. | 
| Returns | |
|---|---|
| The reduced tensor (number of nonzero values). |