tf.raw_ops.Slice | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.Slice
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Return a slice from 'input'.
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Compat aliases for migration
SeeMigration guide for more details.
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 | |
|---|---|
| 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 |
|---|
| A Tensor. Has the same type as input. |
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Last updated 2024-04-26 UTC.