tensorflow::ops::GatherV2

#include <array_ops.h>

Gather slices from params axis axis according to indices.

Summary

indices must be an integer tensor of any dimension (usually 0-D or 1-D). Produces an output tensor with shape params.shape[:axis] + indices.shape + params.shape[axis + 1:] where:

    # Scalar indices (output is rank(params) - 1).
    output[a_0, ..., a_n, b_0, ..., b_n] =
      params[a_0, ..., a_n, indices, b_0, ..., b_n]

    # Vector indices (output is rank(params)).
    output[a_0, ..., a_n, i, b_0, ..., b_n] =
      params[a_0, ..., a_n, indices[i], b_0, ..., b_n]

    # Higher rank indices (output is rank(params) + rank(indices) - 1).
    output[a_0, ..., a_n, i, ..., j, b_0, ... b_n] =
      params[a_0, ..., a_n, indices[i, ..., j], b_0, ..., b_n]

Note that on CPU, if an out of bound index is found, an error is returned. On GPU, if an out of bound index is found, a 0 is stored in the corresponding output value.

See also tf.batch_gather and tf.gather_nd.

Arguments:

  • scope: A Scope object
  • params: The tensor from which to gather values. Must be at least rank axis + 1.
  • indices: Index tensor. Must be in range [0, params.shape[axis]).
  • axis: The axis in params to gather indices from. Defaults to the first dimension. Supports negative indexes.

Returns:

  • Output: Values from params gathered from indices given by indices, with shape params.shape[:axis] + indices.shape + params.shape[axis + 1:].

Constructors and Destructors

GatherV2(const ::tensorflow::Scope & scope, ::tensorflow::Input params, ::tensorflow::Input indices, ::tensorflow::Input axis)

Public attributes

operation
output

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

GatherV2

 GatherV2(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input params,
  ::tensorflow::Input indices,
  ::tensorflow::Input axis
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const