def max_pool(data,
auto_pad=None,
kernel_shape=None,
pads=None,
strides=None):
padding = _convert_auto_pad(auto_pad, pads)
return (op.max_pool(data,
padding=padding,
kernel_shape=kernel_shape,
pads=pads,
strides=strides), )
def global_max_pool(x):
return (op.max_pool(x,
padding=op.AutoPadding.VALID,
kernel_shape=x.shape.dims[2:],
pads=None,
strides=None), )