ngraph.opset1.ops.convolution_backprop_data

ngraph.opset1.ops.convolution_backprop_data(data: Union[_pyngraph.Node, int, float, numpy.ndarray], filters: Union[_pyngraph.Node, int, float, numpy.ndarray], strides: List[int], output_shape: Optional[Union[_pyngraph.Node, int, float, numpy.ndarray]] = None, pads_begin: Optional[List[int]] = None, pads_end: Optional[List[int]] = None, dilations: Optional[List[int]] = None, auto_pad: Optional[str] = None, output_padding: Optional[List[int]] = None, name: Optional[str] = None) _pyngraph.Node

Create node performing a batched-convolution backprop data operation.

Parameters
  • data – The node producing data from forward-prop

  • filters – The node producing the filters from forward-prop.

  • output_shape – The node producing output delta.

  • strides – The distance (in pixels) to slide the filter on the feature map over the axes.

  • pads_begin – The number of pixels to add to the beginning along each axis.

  • pads_end – The number of pixels to add to the end along each axis.

  • dilations – The distance in width and height between elements (weights) in the filter.

  • name – The node name.

Returns

The node object representing ConvolutionBackpropData operation.