### Description
Fix a bug in the TRT Execution Provider where the DDS output tensor was
not bound after an engine update.


### Motivation and Context
The `dds_output_allocator_map` is not cleared on engine update, so that
it will mis-recognized as a known DDS and will not bind the output
allocation.

Script to reproduce the issue:
```:python
# create an onnx model with:
# inputs: data -> NonZeros(data) -> GatherND -> output
# then run the model with onnxruntime

def create_model():
    import onnx
    from onnx import helper, TensorProto

    input = helper.make_tensor_value_info("data", TensorProto.FLOAT, ["d1", "d2"])
    output = helper.make_tensor_value_info("output", TensorProto.FLOAT, ["nzr"])

    nonzeros_node = helper.make_node("NonZero", ["data"], ["nonzeros"], "nonzeros_node")
    transpose_node = helper.make_node(
        "Transpose", ["nonzeros"], ["nonzeros_t"], "transpose_node"
    )
    gathernd_node = helper.make_node(
        "GatherND", ["data", "nonzeros_t"], ["output"], "gathernd_node"
    )

    value_info = [
        helper.make_tensor_value_info("nonzeros", TensorProto.INT64, [2, "nzr"]),
        helper.make_tensor_value_info("nonzeros_t", TensorProto.INT64, ["nzr", 2]),
    ]

    graph = helper.make_graph(
        [nonzeros_node, transpose_node, gathernd_node],
        "test_graph",
        [input],
        [output],
        value_info=value_info,
    )

    model = helper.make_model(graph)
    onnx.save(model, "model_dds.onnx")


def run_model():
    import onnxruntime as ort
    import numpy as np

    sess = ort.InferenceSession("model_dds.onnx", providers=["TensorrtExecutionProvider", "CUDAExecutionProvider", "CPUExecutionProvider"])

    print("Running with data shape (3,4)")
    data = np.random.randn(3, 4).astype(np.float32)
    sess.run(None, {"data": data})

    print("Running with data shape (5,6)")
    data = np.random.randn(5, 6).astype(np.float32)
    sess.run(None, {"data": data})


create_model()
run_model()
```

Before the change:
> IExecutionContext::enqueueV3: Error Code 3: API Usage Error (Parameter
check failed, condition:
mContext.profileObliviousBindings.at(profileObliviousIndex) ||
getPtrOrNull(mOutputAllocators, profileObliviousIndex). Neither address
or allocator is set for output tensor scores. Call
setOutputTensorAddress, setTensorAddress or setOutputAllocator before
enqueue/execute.) ... Status Message: TensorRT EP execution context
enqueue failed.