Computes the "logical and" of elements across dimensions of a tensor.
Reduces `input` along the dimensions given in `axis`. Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in `axis`. If `keep_dims` is true, the reduced dimensions are retained with length 1.
Nested Classes
class | All.Options |
Optional attributes for
All
|
Public Methods
Output <Boolean> |
asOutput
()
Returns the symbolic handle of a tensor.
|
static <T extends Number> All |
create
(
Scope
scope,
Operand
<Boolean> input,
Operand
<T> axis,
Options...
options)
Factory method to create a class wrapping a new All operation.
|
static All.Options |
keepDims
(Boolean keepDims)
|
Output <Boolean> |
output
()
The reduced tensor.
|
Inherited Methods
Public Methods
public Output <Boolean> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static All create ( Scope scope, Operand <Boolean> input, Operand <T> axis, Options... options)
Factory method to create a class wrapping a new All operation.
Parameters
scope | current scope |
---|---|
input | The tensor to reduce. |
axis | The dimensions to reduce. Must be in the range `[-rank(input), rank(input))`. |
options | carries optional attributes values |
Returns
- a new instance of All
public static All.Options keepDims (Boolean keepDims)
Parameters
keepDims | If true, retain reduced dimensions with length 1. |
---|