tf.raw_ops.SparseCountSparseOutput

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

tf.raw_ops.SparseCountSparseOutput(
    indices, values, dense_shape, weights, binary_output, minlength=-1,
    maxlength=-1, name=None
)

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

indices A Tensor of type int64. Tensor containing the indices of the sparse tensor to count.
values A Tensor. Must be one of the following types: int32, int64. Tensor containing values of the sparse tensor to count.
dense_shape A Tensor of type int64. Tensor containing the dense shape 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).

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.