tf.raw_ops.RaggedTensorToVariant
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Encodes a RaggedTensor into a variant Tensor.
tf.raw_ops.RaggedTensorToVariant(
rt_nested_splits, rt_dense_values, batched_input, name=None
)
Encodes the given RaggedTensor and returns a variant Tensor. If
batched_input is True, then input RaggedTensor is unbatched along the
zero-th dimension, each component RaggedTensor is encoded into a scalar
variant Tensor, and these are stacked to return a 1-D variant Tensor.
If batched_input is False, then the input RaggedTensor is encoded as is and
a scalar variant Tensor is returned. A RaggedTensor is encoded by first
creating a 1-D variant Tensor with ragged_rank + 1 elements, containing the
splits and values Tensors of the RaggedTensor. Then the 1-D variant Tensor
is wrapped in a scalar variant Tensor. See RaggedTensorFromVariant for the
corresponding decoding logic.
Args |
|---|
rt_nested_splits
|
A list of Tensor objects with the same type in: int32, int64.
A list of one or more Tensors representing the splits of the input
RaggedTensor.
|
rt_dense_values
|
A Tensor.
A Tensor representing the values of the input RaggedTensor.
|
batched_input
|
A bool.
A bool denoting whether the input is a batched RaggedTensor.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type variant.
|
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Last updated 2022-10-27 UTC.
[null,null,["Last updated 2022-10-27 UTC."],[],[],null,["# tf.raw_ops.RaggedTensorToVariant\n\n\u003cbr /\u003e\n\nEncodes a `RaggedTensor` into a `variant` Tensor.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.RaggedTensorToVariant`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/RaggedTensorToVariant)\n\n\u003cbr /\u003e\n\n tf.raw_ops.RaggedTensorToVariant(\n rt_nested_splits, rt_dense_values, batched_input, name=None\n )\n\nEncodes the given `RaggedTensor` and returns a `variant` Tensor. If\n`batched_input` is True, then input `RaggedTensor` is unbatched along the\nzero-th dimension, each component `RaggedTensor` is encoded into a scalar\n`variant` Tensor, and these are stacked to return a 1-D `variant` Tensor.\nIf `batched_input` is False, then the input `RaggedTensor` is encoded as is and\na scalar `variant` Tensor is returned. A `RaggedTensor` is encoded by first\ncreating a 1-D `variant` Tensor with `ragged_rank + 1` elements, containing the\nsplits and values Tensors of the `RaggedTensor`. Then the 1-D `variant` Tensor\nis wrapped in a scalar `variant` Tensor. See `RaggedTensorFromVariant` for the\ncorresponding decoding logic.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `rt_nested_splits` | A list of `Tensor` objects with the same type in: `int32`, `int64`. A list of one or more Tensors representing the splits of the input `RaggedTensor`. |\n| `rt_dense_values` | A `Tensor`. A Tensor representing the values of the input `RaggedTensor`. |\n| `batched_input` | A `bool`. A `bool` denoting whether the input is a batched `RaggedTensor`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `variant`. ||\n\n\u003cbr /\u003e"]]
