pytorch: 1.9.1
android: 11
android gradle:
implementation 'org.pytorch:pytorch_android_lite:1.9.0'
implementation 'org.pytorch:pytorch_android_torchvision:1.9.0'

problem:
com.facebook.jni.CppException: Following ops cannot be found. Check fburl.com/missing_ops for 
the fix.{prim::is_quantized, } ()

Test code:
class AnnotatedConvBnReLUModel(torch.nn.Module):
    def __init__(self):
        super(AnnotatedConvBnReLUModel, self).__init__()
        self.conv = torch.nn.Conv2d(3, 5, 3, bias=False).to(dtype=torch.float)
        self.bn = torch.nn.BatchNorm2d(5).to(dtype=torch.float)
        self.hs = torch.nn.Hardswish()
        self.quant = torch.quantization.QuantStub()
        self.dequant = torch.quantization.DeQuantStub()

    def forward(self, x):
        x = self.quant(x)
        x = self.conv(x)
        x = self.bn(x)
        x = self.hs(x)
        x = self.dequant(x)

        return x

The android lib  “pytorch:pytorch_android_lite” dose not support torch.nn.Hardswish ?
model = torchvision.models.quantization.mobilenet_v3_large(pretrained=False, quantize=True)
and the mobilenet_v3_large has the same problem, why?