

def fprop(self, inputs, inference=False):
    self.init_buffers(inputs)
    self.outputs.fill(0)
    self.max_idx.fill(0)
    self.fm = super(RoiPooling, self).fprop(self.img, inference)
    self.be.roipooling_fprop(self.fm, self.rois, self.outputs, self.max_idx, self.rois_per_batch, self.fm_channel, self.fm_height, self.fm_width, self.roi_H, self.roi_W, self.spatial_scale)
    return inference.outputs

dataset/ETHPy150Open NervanaSystems/neon/neon/layers/container.py RoiPooling.fprop/VarMisuse@113/142 `self`->`inference`