Upsample ONNX gives INVALID_GRAPH when trying to convert bilinear layer to onnx

when i convert network with bilinear layer trained on Pytorch to ONNX, i get following error

RuntimeError: [ONNXRuntimeError] : 10 : INVALID_GRAPH : Load model from test.onnx failed:Type Error: Type 'tensor(int64)' of input parameter (11) of operator (Floor) in node () is invalid.

I m not sure on why this error occurs, I tried building ONNX from source but still the issue dosen't seems to go way.

Any ideas on what might cause this error? or how to tackle the issue?

Way to Reproduce-

from torch import nn

import torch
import torch.nn.functional as F
import onnxruntime as rt

class Upsample(torch.nn.Module):
    def forward(self, x):
        #l = nn.Conv2d(3, 3, kernel_size=1, stride=1, padding=1, bias=True)
        return F.interpolate(x, scale_factor=2, mode="bilinear", align_corners=False)

m = Upsample()
v = torch.randn(1,3,128,128, dtype=torch.float32, requires_grad=False)

torch.onnx.export(m, v, "test.onnx")
sess = rt.InferenceSession("test.onnx")