tensorflow:: ops:: DepthwiseConv2dNativeBackpropInput

Computes the gradients of depthwise convolution with respect to the input.

Summary

Args:

• scope: A Scope object
• input_sizes: An integer vector representing the shape of input , based on data_format . For example, if data_format is 'NHWC' then input is a 4-D [batch, height, width, channels] tensor.
• filter: 4-D with shape [filter_height, filter_width, in_channels, depthwise_multiplier] .
• out_backprop: 4-D with shape based on data_format . For example, if data_format is 'NHWC' then out_backprop shape is [batch, out_height, out_width, out_channels] . Gradients w.r.t. the output of the convolution.
• strides: The stride of the sliding window for each dimension of the input of the convolution.
• padding: The type of padding algorithm to use.

Optional attributes (see Attrs ):

• data_format: 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].
• 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.

Returns:

• Output : 4-D with shape according to data_format . For example, if data_format is 'NHWC', output shape is [batch, in_height, in_width, in_channels] . Gradient w.r.t. the input of the convolution.

Public attributes

Operation operation

::tensorflow::Output output

Public functions

 DepthwiseConv2dNativeBackpropInput(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input_sizes,
  ::tensorflow::Input filter,
  ::tensorflow::Input out_backprop,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding
)

 DepthwiseConv2dNativeBackpropInput(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input_sizes,
  ::tensorflow::Input filter,
  ::tensorflow::Input out_backprop,
  const gtl::ArraySlice< int > & strides,
  StringPiece padding,
  const DepthwiseConv2dNativeBackpropInput::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs DataFormat(
  StringPiece x
)

Attrs Dilations(
  const gtl::ArraySlice< int > & x
)

Attrs ExplicitPaddings(
  const gtl::ArraySlice< int > & x
)