openvino.runtime.opset5.convolution_backprop_data#

openvino.runtime.opset5.convolution_backprop_data(data: Node | int | float | ndarray, filters: Node | int | float | ndarray, strides: List[int], output_shape: Node | int | float | ndarray | None = None, pads_begin: List[int] | None = None, pads_end: List[int] | None = None, dilations: List[int] | None = None, auto_pad: str | None = None, output_padding: List[int] | None = None, name: str | None = None) → 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.