Crate caffe2op_deform

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  • | Deformable convolution operator consumes | an input vector, the kernel offsets | blob, the filter blob and the bias blob | and computes the output. | | Other parameters, such as the stride | and kernel size, or the pads’ sizes in | each direction are not necessary for | input because they are provided by the | | ConvPoolOpBase operator. | | Various dimension checks are done implicitly, | and the sizes are specified in the Input | docs for this operator. | | As is expected, the filter is convolved | with a subset of the image using the deformed | kernel as specified by offsets blob | and the bias is added; this is done throughout | the image data and the output is computed. |