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