InvokeEndpoint throwing server error

[meg261995]

I have deployed a pretrained PytorchModel to an endpoint.. Below is the code

pytorch_model = PyTorchModel(model_data='s3://my-bucket/model.tar.gz', role=role,source_dir='model/code',entry_point='inference.py',framework_version='1.3',py_version='py3')
pytorch_model.deploy(instance_type='ml.t2.medium', initial_instance_count=1,endpoint_name='test')

I am getting the below error while trying to Invoke the endpoint.. Is there anything I am doing wrong?

ModelError: An error occurred (ModelError) when calling the InvokeEndpoint operation: Received server error (500) from primary with message "[Errno 21] Is a directory: '/opt/ml/model'"