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tensorflow:: ops:: ReduceJoin

 #include <string_ops.h> 

Joins a string Tensor across the given dimensions.

Summary

Computes the string join across dimensions in the given string Tensor of shape  [\$$d_0, d_1, ..., d_{n-1}\$$]  . Returns a new Tensor created by joining the input strings with the given separator (default: empty string). Negative indices are counted backwards from the end, with  -1  being equivalent to  n - 1  . If indices are not specified, joins across all dimensions beginning from  n - 1  through  0  .

For example:

# tensor a is [["a", "b"], ["c", "d"]]
tf.reduce_join(a, 0) ==> ["ac", "bd"]
tf.reduce_join(a, 1) ==> ["ab", "cd"]
tf.reduce_join(a, -2) = tf.reduce_join(a, 0) ==> ["ac", "bd"]
tf.reduce_join(a, -1) = tf.reduce_join(a, 1) ==> ["ab", "cd"]
tf.reduce_join(a, 0, keep_dims=True) ==> [["ac", "bd"]]
tf.reduce_join(a, 1, keep_dims=True) ==> [["ab"], ["cd"]]
tf.reduce_join(a, 0, separator=".") ==> ["a.c", "b.d"]
tf.reduce_join(a, [0, 1]) ==> "acbd"
tf.reduce_join(a, [1, 0]) ==> "abcd"
tf.reduce_join(a, []) ==> [["a", "b"], ["c", "d"]]
tf.reduce_join(a) = tf.reduce_join(a, [1, 0]) ==> "abcd"


Args:

• scope: A Scope object
• inputs: The input to be joined. All reduced indices must have non-zero size.
• reduction_indices: The dimensions to reduce over. Dimensions are reduced in the order specified. Omitting  reduction_indices  is equivalent to passing  [n-1, n-2, ..., 0]  . Negative indices from  -n  to  -1  are supported.

Optional attributes (see  Attrs  ):

• keep_dims: If  True  , retain reduced dimensions with length  1  .
• separator: The separator to use when joining.

Returns:

•  Output  : Has shape equal to that of the input with reduced dimensions removed or set to  1  depending on  keep_dims  .

Constructors and Destructors

 ReduceJoin (const :: tensorflow::Scope & scope, :: tensorflow::Input inputs, :: tensorflow::Input reduction_indices) 
 ReduceJoin (const :: tensorflow::Scope & scope, :: tensorflow::Input inputs, :: tensorflow::Input reduction_indices, const ReduceJoin::Attrs & attrs) 

Public attributes

 operation 
 Operation 
 output 
 :: tensorflow::Output 

Public functions

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

Public static functions

 KeepDims (bool x) 
 Attrs 
 Separator (StringPiece x) 
 Attrs 

Structs

tensorflow:: ops:: ReduceJoin:: Attrs

Optional attribute setters for ReduceJoin .

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

ReduceJoin

 ReduceJoin(
const ::tensorflow::Scope & scope,
::tensorflow::Input inputs,
::tensorflow::Input reduction_indices
)

ReduceJoin

 ReduceJoin(
const ::tensorflow::Scope & scope,
::tensorflow::Input inputs,
::tensorflow::Input reduction_indices,
const ReduceJoin::Attrs & attrs
)

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const

Public static functions

KeepDims

Attrs KeepDims(
bool x
)

Separator

Attrs Separator(
StringPiece x
)
[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]