# tf.raw_ops.SparseSliceGrad

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The gradient operator for the SparseSlice op.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.SparseSliceGrad(
        backprop_val_grad, input_indices, input_start, output_indices, name=None
    )

This op takes in the upstream gradient w.r.t. non-empty values of
the sliced `SparseTensor`, and outputs the gradients w.r.t.
the non-empty values of input `SparseTensor`.

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| ## Args ||
|---|---|
| `backprop_val_grad` | A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `complex64`, `int64`, `qint8`, `quint8`, `qint32`, `bfloat16`, `qint16`, `quint16`, `uint16`, `complex128`, `half`, `uint32`, `uint64`. 1-D. The gradient with respect to the non-empty values of the sliced `SparseTensor`. |
| `input_indices` | A `Tensor` of type `int64`. 2-D. The `indices` of the input `SparseTensor`. |
| `input_start` | A `Tensor` of type `int64`. 1-D. tensor represents the start of the slice. |
| `output_indices` | A `Tensor` of type `int64`. 2-D. The `indices` of the sliced `SparseTensor`. |
| `name` | A name for the operation (optional). |

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

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