Class ov::op::util::ConvolutionFwdPropBase#
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class ConvolutionFwdPropBase : public ov::op::util::ConvolutionBase#
Base class for operations like back propagation convolution.
Subclassed by ov::op::v1::BinaryConvolution, ov::op::v1::Convolution, ov::op::v1::GroupConvolution
Public Functions
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ConvolutionFwdPropBase() = default#
Constructs a conversion operation.
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inline ConvolutionFwdPropBase(const OutputVector &arguments, const Strides &strides, const CoordinateDiff &pads_begin, const CoordinateDiff &pads_end, const Strides &dilations, const PadType &auto_pad = PadType::EXPLICIT)#
Constructs a conversion operation.
- Parameters:
strides – Convolution strides.
pads_begin – Amount of padding to be added to the beginning along each axis. For example in case of a 2D input the value of (1, 2) means that 1 element will be added to the top and 2 elements to the left.
pads_end – Amount of padding to be added to the end along each axis.
dilations – The distance in width and height between the weights in the filters tensor.
auto_pad – Specifies how the automatic calculation of padding should be done.
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ConvolutionFwdPropBase() = default#