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.
| 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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/SparseCountSparseOutput