Min.py 文件源码

def updateOutput(self, input):
        self._lazyInit()
        dimension = self._getPositiveDimension(input)
        torch.min(input, dimension, out=(self._output, self._indices), keepdim=True)
        if input.dim() > 1:
            self.output.set_(self._output.select(dimension, 0))
        else:
            self.output.set_(self._output)

        return self.output