Return a slice from 'input'.

tf.raw_ops.Slice( input, begin, size, name=None )

The output tensor is a tensor with dimensions described by 'size' whose values are extracted from 'input' starting at the offsets in 'begin'.

*Requirements*: 0 <= begin[i] <= begin[i] + size[i] <= Di for i in [0, n)

Args | |
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`input` | A `Tensor` . |

`begin` | A `Tensor` . Must be one of the following types: `int32` , `int64` . begin[i] specifies the offset into the 'i'th dimension of 'input' to slice from. |

`size` | A `Tensor` . Must have the same type as `begin` . size[i] specifies the number of elements of the 'i'th dimension of 'input' to slice. If size[i] is -1, all remaining elements in dimension i are included in the slice (i.e. this is equivalent to setting size[i] = input.dim_size(i) - begin[i]). |

`name` | A name for the operation (optional). |

Returns | |
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A `Tensor` . Has the same type as `input` . |

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Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/Slice