Computes the minimum 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 | Min.Options | Optional attributes for Min
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Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
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static <T, U extends Number> Min<T> |
create(Scope scope, Operand<T> input, Operand<U> axis, Options... options)
Factory method to create a class wrapping a new Min operation.
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static Min.Options |
keepDims(Boolean keepDims)
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Output<T> |
output()
The reduced tensor.
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Inherited Methods
Public Methods
public Output<T> 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 Min<T> create (Scope scope, Operand<T> input, Operand<U> axis, Options... options)
Factory method to create a class wrapping a new Min operation.
Parameters
scope | current scope |
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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 Min
public static Min.Options keepDims (Boolean keepDims)
Parameters
keepDims | If true, retain reduced dimensions with length 1. |
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