tf.raw_ops.SparseCountSparseOutput

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

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SparseCountSparseOutput

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.

Args
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).

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.