QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

public final class QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

Computes quantized depthwise Conv2D with Bias, Relu and Requantize.

Nested Classes

class QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options Optional attributes for QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

Constants

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

Public Methods

static <W extends TType > QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize <W>
create ( Scope scope, Operand <? extends TType > input, Operand <? extends TType > filter, Operand <? extends TType > bias, Operand < TFloat32 > minInput, Operand < TFloat32 > maxInput, Operand < TFloat32 > minFilter, Operand < TFloat32 > maxFilter, Operand < TFloat32 > minFreezedOutput, Operand < TFloat32 > maxFreezedOutput, Class<W> outType, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize operation.
static QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options
dilations (List<Long> dilations)
Output < TFloat32 >
maxOutput ()
The float value that the maximum quantized output value represents.
Output < TFloat32 >
minOutput ()
The float value that the minimum quantized output value represents.
Output <W>
output ()
The output tensor.
static QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options
paddingList (List<Long> paddingList)

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize"

Public Methods

public static QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize <W> create ( Scope scope, Operand <? extends TType > input, Operand <? extends TType > filter, Operand <? extends TType > bias, Operand < TFloat32 > minInput, Operand < TFloat32 > maxInput, Operand < TFloat32 > minFilter, Operand < TFloat32 > maxFilter, Operand < TFloat32 > minFreezedOutput, Operand < TFloat32 > maxFreezedOutput, Class<W> outType, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize operation.

Parameters
scope current scope
input The original input tensor.
filter The original filter tensor.
bias The original bias tensor.
minInput The float value that the minimum quantized input value represents.
maxInput The float value that the maximum quantized input value represents.
minFilter The float value that the minimum quantized filter value represents.
maxFilter The float value that the maximum quantized filter value represents.
minFreezedOutput The minimum float value of the output tensor.
maxFreezedOutput The maximum float value of the output tensor.
outType The type of the output.
strides List of stride values.
options carries optional attributes values
Returns
  • a new instance of QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize

public static QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options dilations (List<Long> dilations)

Parameters
dilations List of dilation values.

public Output < TFloat32 > maxOutput ()

The float value that the maximum quantized output value represents.

public Output < TFloat32 > minOutput ()

The float value that the minimum quantized output value represents.

public Output <W> output ()

The output tensor.

public static QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize.Options paddingList (List<Long> paddingList)