HistogramFixedWidth

public final class HistogramFixedWidth

Return histogram of values.

Given the tensor `values`, this operation returns a rank 1 histogram counting the number of entries in `values` that fall into every bin. The bins are equal width and determined by the arguments `value_range` and `nbins`. 

# Bins will be:  (-inf, 1), [1, 2), [2, 3), [3, 4), [4, inf)
 nbins = 5
 value_range = [0.0, 5.0]
 new_values = [-1.0, 0.0, 1.5, 2.0, 5.0, 15]
 
 with tf.get_default_session() as sess:
   hist = tf.histogram_fixed_width(new_values, value_range, nbins=5)
   variables.global_variables_initializer().run()
   sess.run(hist) => [2, 1, 1, 0, 2]

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<U>
asOutput()
Returns the symbolic handle of the tensor.
static <U extends TNumber, T extends TNumber> HistogramFixedWidth<U>
create(Scope scope, Operand<T> values, Operand<T> valueRange, Operand<TInt32> nbins, Class<U> dtype)
Factory method to create a class wrapping a new HistogramFixedWidth operation.
static <T extends TNumber> HistogramFixedWidth<TInt32>
create(Scope scope, Operand<T> values, Operand<T> valueRange, Operand<TInt32> nbins)
Factory method to create a class wrapping a new HistogramFixedWidth operation using default output types.
Output<U>
out()
A 1-D `Tensor` holding histogram of values.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<U extends TNumber>
asOutput()
Returns the symbolic handle of the tensor.
abstract U extends TNumber
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<U extends TNumber>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "HistogramFixedWidth"

Public Methods

public Output<U> asOutput ()

Returns the symbolic handle of the 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 HistogramFixedWidth<U> create (Scope scope, Operand<T> values, Operand<T> valueRange, Operand<TInt32> nbins, Class<U> dtype)

Factory method to create a class wrapping a new HistogramFixedWidth operation.

Parameters
scope current scope
values Numeric `Tensor`.
valueRange Shape [2] `Tensor` of same `dtype` as `values`. values <= value_range[0] will be mapped to hist[0], values >= value_range[1] will be mapped to hist[-1].
nbins Scalar `int32 Tensor`. Number of histogram bins.
Returns
  • a new instance of HistogramFixedWidth

public static HistogramFixedWidth<TInt32> create (Scope scope, Operand<T> values, Operand<T> valueRange, Operand<TInt32> nbins)

Factory method to create a class wrapping a new HistogramFixedWidth operation using default output types.

Parameters
scope current scope
values Numeric `Tensor`.
valueRange Shape [2] `Tensor` of same `dtype` as `values`. values <= value_range[0] will be mapped to hist[0], values >= value_range[1] will be mapped to hist[-1].
nbins Scalar `int32 Tensor`. Number of histogram bins.
Returns
  • a new instance of HistogramFixedWidth

public Output<U> out ()

A 1-D `Tensor` holding histogram of values.