tft.count_per_key

Computes the count of each element of a Tensor.

tft.count_per_key(
    key: common_types.TensorType,
    key_vocabulary_filename: Optional[str] = None,
    name: Optional[str] = None
)

Args
`key`	A `Tensor`, `SparseTensor`, or `RaggedTensor` of dtype tf.string or tf.int.
`key_vocabulary_filename`	(Optional) The file name for the key-output mapping file. If None and key are provided, this combiner assumes the keys fit in memory and will not store the result in a file. If empty string, a file name will be chosen based on the current scope. If not an empty string, should be unique within a given preprocessing function.
`name`	(Optional) A name for this operation.

Returns
`Either`	(A) Two `Tensor`s: one the key vocab with dtype of input; the other the count for each key, dtype tf.int64. (if key_vocabulary_filename is None). (B) The filename where the key-value mapping is stored (if key_vocabulary_filename is not None).

Raises
`TypeError`	If the type of `x` is not supported.

Args