tf.io.serialize_sparse
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Serialize a SparseTensor
into a 3-vector (1-D Tensor
) object.
tf.io.serialize_sparse(
sp_input, name=None, out_type=tf.dtypes.string
)
Args |
sp_input
|
The input SparseTensor .
|
name
|
A name prefix for the returned tensors (optional).
|
out_type
|
The dtype to use for serialization.
|
Returns |
A 3-vector (1-D Tensor ), with each column representing the serialized
SparseTensor 's indices, values, and shape (respectively).
|
Raises |
TypeError
|
If sp_input is not a SparseTensor .
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.io.serialize_sparse\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/io/serialize_sparse) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/sparse_ops.py#L1939-L1956) |\n\nSerialize a `SparseTensor` into a 3-vector (1-D `Tensor`) object.\n\n#### View aliases\n\n\n**Main aliases**\n\n\\`tf.serialize_sparse\\`\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.io.serialize_sparse`](/api_docs/python/tf/compat/v1/serialize_sparse), [`tf.compat.v1.serialize_sparse`](/api_docs/python/tf/compat/v1/serialize_sparse)\n\n\u003cbr /\u003e\n\n tf.io.serialize_sparse(\n sp_input, name=None, out_type=tf.dtypes.string\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|----------------------------------------------------|\n| `sp_input` | The input `SparseTensor`. |\n| `name` | A name prefix for the returned tensors (optional). |\n| `out_type` | The `dtype` to use for serialization. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A 3-vector (1-D `Tensor`), with each column representing the serialized `SparseTensor`'s indices, values, and shape (respectively). ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|-------------|----------------------------------------|\n| `TypeError` | If `sp_input` is not a `SparseTensor`. |\n\n\u003cbr /\u003e"]]