onnx2tf randn_like issue test

onnx2tf_test.py

import torch

class OnnxTestRandnLike(torch.nn.Module):
    def forward(self, x):
        m = torch.randn_like(x)
        y = m * x
        return y

class OnnxTestRandn(torch.nn.Module):
    def forward(self, x):
        m = torch.randn(x.size())
        y = m * x
        return y

def export_onnx(x, net, file):
    torch.onnx.export(
        net,
        x,
        file,
        opset_version=17,
        verbose=False,
        input_names=["x"],
        output_names=["y"])
    print("Done: " + file)

def main():
    export_onnx(torch.rand(1, 2, 4), OnnxTestRandnLike(), "randnlike4.onnx")
    export_onnx(torch.rand(1, 2, 4), OnnxTestRandn(), "randn4.onnx")

if __name__ == '__main__':
    main()