tfp.math.dense_to_sparse
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Converts dense Tensor
to SparseTensor
, dropping ignore_value
cells.
tfp.math.dense_to_sparse(
x, ignore_value=None, name=None
)
Args |
x
|
A Tensor .
|
ignore_value
|
Entries in x equal to this value will be
absent from the return SparseTensor . If None , default value of
x dtype will be used (e.g. '' for str , 0 for int ).
|
name
|
Python str prefix for ops created by this function.
|
Raises |
ValueError
|
when x 's rank is None .
|
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Last updated 2023-11-21 UTC.
[null,null,["Last updated 2023-11-21 UTC."],[],[],null,["# tfp.math.dense_to_sparse\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/math/sparse.py#L27-L58) |\n\nConverts dense `Tensor` to `SparseTensor`, dropping `ignore_value` cells. \n\n tfp.math.dense_to_sparse(\n x, ignore_value=None, name=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `x` | A `Tensor`. |\n| `ignore_value` | Entries in `x` equal to this value will be absent from the return `SparseTensor`. If `None`, default value of `x` dtype will be used (e.g. '' for `str`, 0 for `int`). |\n| `name` | Python `str` prefix for ops created by this function. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|------------|----------------------------------------------------------------------------------------------------------------------|\n| `sparse_x` | A [`tf.SparseTensor`](https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor) with the same shape as `x`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|----------------------------|\n| `ValueError` | when `x`'s rank is `None`. |\n\n\u003cbr /\u003e"]]