DepthwiseConv2dNative

public final class DepthwiseConv2dNative

Computes a 2-D depthwise convolution given 4-D `input` and `filter` tensors.

Given an input tensor of shape `[batch, in_height, in_width, in_channels]` and a filter / kernel tensor of shape `[filter_height, filter_width, in_channels, channel_multiplier]`, containing `in_channels` convolutional filters of depth 1, `depthwise_conv2d` applies a different filter to each input channel (expanding from 1 channel to `channel_multiplier` channels for each), then concatenates the results together. Thus, the output has `in_channels * channel_multiplier` channels.

for k in 0..in_channels-1
   for q in 0..channel_multiplier-1
     output[b, i, j, k * channel_multiplier + q] =
       sum_{di, dj input[b, strides[1] * i + di, strides[2] * j + dj, k] *
                         filter[di, dj, k, q]
 }
Must have `strides[0] = strides[3] = 1`. For the most common case of the same horizontal and vertices strides, `strides = [1, stride, stride, 1]`.

Nested Classes

class DepthwiseConv2dNative.Options Optional attributes for DepthwiseConv2dNative

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TNumber > DepthwiseConv2dNative <T>
create ( Scope scope, Operand <T> input, Operand <T> filter, List<Long> strides, String padding, Options... options)
Factory method to create a class wrapping a new DepthwiseConv2dNative operation.
static DepthwiseConv2dNative.Options
dataFormat (String dataFormat)
static DepthwiseConv2dNative.Options
dilations (List<Long> dilations)
static DepthwiseConv2dNative.Options
explicitPaddings (List<Long> explicitPaddings)
Output <T>

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "DepthwiseConv2dNative"

Public Methods

public Output <T> 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 DepthwiseConv2dNative <T> create ( Scope scope, Operand <T> input, Operand <T> filter, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new DepthwiseConv2dNative operation.

Parameters
scope current scope
strides 1-D of length 4. The stride of the sliding window for each dimension of `input`.
padding The type of padding algorithm to use.
options carries optional attributes values
Returns
  • a new instance of DepthwiseConv2dNative

public static DepthwiseConv2dNative.Options dataFormat (String dataFormat)

Parameters
dataFormat Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, height, width, channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, channels, height, width].

public static DepthwiseConv2dNative.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 static DepthwiseConv2dNative.Options explicitPaddings (List<Long> explicitPaddings)

public Output <T> output ()