tf.raw_ops.RaggedCountSparseOutput

Performs sparse-output bin counting for a ragged tensor input.

Compat aliases for migration

tf.compat.v1.raw_ops.RaggedCountSparseOutput

tf.raw_ops.RaggedCountSparseOutput(
    splits,
    values,
    weights,
    binary_output,
    minlength=-1,
    maxlength=-1,
    name=None
)

Counts the number of times each value occurs in the input.

Args
`splits`	A `Tensor` of type `int64`. Tensor containing the row splits of the ragged tensor to count.
`values`	A `Tensor`. Must be one of the following types: `int32`, `int64`. Tensor containing values of the sparse tensor to count.
`weights`	A `Tensor`. Must be one of the following types: `int32`, `int64`, `float32`, `float64`. A Tensor of the same shape as indices containing per-index weight values. May also be the empty tensor if no weights are used.
`binary_output`	A `bool`. Whether to output the number of occurrences of each value or 1.
`minlength`	An optional `int` that is `>= -1`. Defaults to `-1`. Minimum value to count. Can be set to -1 for no minimum.
`maxlength`	An optional `int` that is `>= -1`. Defaults to `-1`. Maximum value to count. Can be set to -1 for no maximum.
`name`	A name for the operation (optional).

Returns
A tuple of `Tensor` objects (output_indices, output_values, output_dense_shape).
`output_indices`	A `Tensor` of type `int64`.
`output_values`	A `Tensor`. Has the same type as `weights`.
`output_dense_shape`	A `Tensor` of type `int64`.

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