tf.raw_ops.TensorArraySplitV3
Stay organized with collections
Save and categorize content based on your preferences.
Split the data from the input value into TensorArray elements.
tf.raw_ops.TensorArraySplitV3(
handle, value, lengths, flow_in, name=None
)
Assuming that lengths takes on values
(n0, n1, ..., n(T-1))
and that value has shape
(n0 + n1 + ... + n(T-1) x d0 x d1 x ...),
this splits values into a TensorArray with T tensors.
TensorArray index t will be the subtensor of values with starting position
(n0 + n1 + ... + n(t-1), 0, 0, ...)
and having size
nt x d0 x d1 x ...
Args |
|---|
handle
|
A Tensor of type resource. The handle to a TensorArray.
|
value
|
A Tensor. The concatenated tensor to write to the TensorArray.
|
lengths
|
A Tensor of type int64.
The vector of lengths, how to split the rows of value into the
TensorArray.
|
flow_in
|
A Tensor of type float32.
A float scalar that enforces proper chaining of operations.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type float32.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.TensorArraySplitV3\n\n\u003cbr /\u003e\n\nSplit the data from the input value into TensorArray elements.\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.TensorArraySplitV3`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/TensorArraySplitV3)\n\n\u003cbr /\u003e\n\n tf.raw_ops.TensorArraySplitV3(\n handle, value, lengths, flow_in, name=None\n )\n\nAssuming that `lengths` takes on values \n\n (n0, n1, ..., n(T-1))\n\nand that `value` has shape \n\n (n0 + n1 + ... + n(T-1) x d0 x d1 x ...),\n\nthis splits values into a TensorArray with T tensors.\n\nTensorArray index t will be the subtensor of values with starting position \n\n (n0 + n1 + ... + n(t-1), 0, 0, ...)\n\nand having size \n\n nt x d0 x d1 x ...\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----------|---------------------------------------------------------------------------------------------------------|\n| `handle` | A `Tensor` of type `resource`. The handle to a TensorArray. |\n| `value` | A `Tensor`. The concatenated tensor to write to the TensorArray. |\n| `lengths` | A `Tensor` of type `int64`. The vector of lengths, how to split the rows of value into the TensorArray. |\n| `flow_in` | A `Tensor` of type `float32`. A float scalar that enforces proper chaining of operations. |\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 `float32`. ||\n\n\u003cbr /\u003e"]]
