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tensorflow::ops::Slice

#include <array_ops.h>

Return a slice from 'input'.

Summary

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)

Arguments:

  • scope: A Scope object
  • begin: begin[i] specifies the offset into the 'i'th dimension of 'input' to slice from.
  • size: 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]).

Returns:

Constructors and Destructors
Slice(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input begin, ::tensorflow::Input size)
Public attributes
output
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

output

::tensorflow::Output output

Public functions

Slice

 Slice(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input begin,
  ::tensorflow::Input size
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

operator::tensorflow::Input() const 

operator::tensorflow::Output

operator::tensorflow::Output() const 

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/slice.html