QuantizedConv2d

public final class QuantizedConv2d

Computes a 2D convolution given quantized 4D input and filter tensors.

The inputs are quantized tensors where the lowest value represents the real number of the associated minimum, and the highest represents the maximum. This means that you can only interpret the quantized output in the same way, by taking the returned minimum and maximum values into account.

Nested Classes

class

QuantizedConv2d.Options

Optional attributes for QuantizedConv2d

Constants

String

OP_NAME

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

Public Methods

static <V extends TType> QuantizedConv2d<V>	create(Scope scope, Operand<? extends TType> input, Operand<? extends TType> filter, Operand<TFloat32> minInput, Operand<TFloat32> maxInput, Operand<TFloat32> minFilter, Operand<TFloat32> maxFilter, Class<V> outType, List<Long> strides, String padding, Options... options) Factory method to create a class wrapping a new QuantizedConv2d operation.
static QuantizedConv2d.Options	dilations(List<Long> dilations)
Output<TFloat32>	maxOutput() The float value that the highest quantized output value represents.
Output<TFloat32>	minOutput() The float value that the lowest quantized output value represents.
Output<V>	output()

Inherited Methods

From class 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()

From class java.lang.Object

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()

From interface 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.

Constants

public static final String OP_NAME

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

Constant Value: "QuantizedConv2D"

Public Methods

public static QuantizedConv2d<V> create (Scope scope, Operand<? extends TType> input, Operand<? extends TType> filter, Operand<TFloat32> minInput, Operand<TFloat32> maxInput, Operand<TFloat32> minFilter, Operand<TFloat32> maxFilter, Class<V> outType, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new QuantizedConv2d operation.

Parameters

scope	current scope
filter	filter's input_depth dimension must match input's depth dimensions.
minInput	The float value that the lowest quantized input value represents.
maxInput	The float value that the highest quantized input value represents.
minFilter	The float value that the lowest quantized filter value represents.
maxFilter	The float value that the highest quantized filter value represents.
strides	The stride of the sliding window for each dimension of the input tensor.
padding	The type of padding algorithm to use.
options	carries optional attributes values

Returns

• a new instance of QuantizedConv2d

public static QuantizedConv2d.Options dilations (List<Long> dilations)

Parameters

dilations	1-D tensor of length 4. The dilation factor for each dimension of `input`. If set to k > 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of `data_format`, see above for details. Dilations in the batch and depth dimensions must be 1.

public Output<TFloat32> maxOutput ()

The float value that the highest quantized output value represents.

public Output<TFloat32> minOutput ()

The float value that the lowest quantized output value represents.

public Output<V> output ()