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Clean up slice documentation #29993

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merged 1 commit into from Jun 21, 2019
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Clean up slice documentation #29993

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12 changes: 6 additions & 6 deletions tensorflow/python/ops/array_ops.py
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Expand Up @@ -689,12 +689,12 @@ def slice(input_, begin, size, name=None):
# pylint: disable=redefined-builtin
"""Extracts a slice from a tensor.

This operation extracts a slice of size `size` from a tensor `input` starting
This operation extracts a slice of size `size` from a tensor `input_` starting
at the location specified by `begin`. The slice `size` is represented as a
tensor shape, where `size[i]` is the number of elements of the 'i'th dimension
of `input` that you want to slice. The starting location (`begin`) for the
slice is represented as an offset in each dimension of `input`. In other
words, `begin[i]` is the offset into the 'i'th dimension of `input` that you
of `input_` that you want to slice. The starting location (`begin`) for the
slice is represented as an offset in each dimension of `input_`. In other
words, `begin[i]` is the offset into the i'th dimension of `input_` that you
want to slice from.

Note that `tf.Tensor.__getitem__` is typically a more pythonic way to
Expand All @@ -705,7 +705,7 @@ def slice(input_, begin, size, name=None):
all remaining elements in dimension i are included in the
slice. In other words, this is equivalent to setting:

`size[i] = input.dim_size(i) - begin[i]`
`size[i] = input_.dim_size(i) - begin[i]`

This operation requires that:

Expand All @@ -731,7 +731,7 @@ def slice(input_, begin, size, name=None):
name: A name for the operation (optional).

Returns:
A `Tensor` the same type as `input`.
A `Tensor` the same type as `input_`.
"""
return gen_array_ops._slice(input_, begin, size, name=name)

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