tf.math.cos

Computes number of nonzero elements across dimensions of a tensor.

tf.math.count_nonzero(
    input, axis=None, keepdims=None, dtype=tf.dtypes.int64, name=None
)

Reduces input 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`	The tensor to reduce. Should be of numeric type, `bool`, or `string`.
`axis`	The dimensions to reduce. If `None` (the default), reduces all dimensions. Must be in the range `[-rank(input), rank(input))`.
`keepdims`	If true, retains reduced dimensions with length 1.
`dtype`	The output dtype; defaults to `tf.int64`.
`name`	A name for the operation (optional).

Returns
The reduced tensor (number of nonzero values).

TensorFlow

tf.math / cos

For example:

For example:

Args

Returns

TensorFlow

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tf.math / cos

For example:

For example:

Args

Returns