# tf.raw_ops.UnbatchGrad

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Gradient of Unbatch.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.UnbatchGrad`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/UnbatchGrad)

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    tf.raw_ops.UnbatchGrad(
        original_input,
        batch_index,
        grad,
        id,
        container='',
        shared_name='',
        name=None
    )

Acts like Batch but using the given batch_index index of batching things as they
become available. This ensures that the gradients are propagated back in the
same session which did the forward pass.

original_input: The input to the Unbatch operation this is the gradient of.
batch_index: The batch_index given to the Unbatch operation this is the gradient
of.
grad: The downstream gradient.
id: The id scalar emitted by Batch.
batched_grad: The return value, either an empty tensor or the batched gradient.
container: Container to control resource sharing.
shared_name: Instances of UnbatchGrad with the same container and shared_name
are assumed to possibly belong to the same batch. If left empty, the op name
will be used as the shared name.

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| ## Args ||
|---|---|
| `original_input` | A `Tensor`. |
| `batch_index` | A `Tensor` of type `int64`. |
| `grad` | A `Tensor`. Must have the same type as `original_input`. |
| `id` | A `Tensor` of type `int64`. |
| `container` | An optional `string`. Defaults to `""`. |
| `shared_name` | An optional `string`. Defaults to `""`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `original_input`. ||

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