this is my code:

class Seq2Seq(nn.Module):
    def __init__(self,encoder,decoder,config):
        super().__init__()
        self.encoder = encoder(config)
        self.decoder = decoder(config)
    def forward(self,src,tgt):
        encoder_output = self.encoder(src)
        decoder_output = self.decoder(encoder_output, tgt)
        return decoder_output
        
model=Seq2Seq(TransformerEncoderLayer,TransformerDecoderLayer,config)
optimizer = torch.optim.Adam(model.parameters())

but in the last line I have this error:
ImportError: cannot import name ‘is_sparse_any’ from ‘torch._subclasses.meta_utils’
can anyone help me to solve this issue? apparently it’s related to environmentvariable but I don’t know how to fix it