Convert NumPy arrays to Tensors when they're arguments to a defun

Previously they were counted in the cache key as if they were Tensors, but were not fed as placeholders, leading to stale values when the trace was reused.

There is an 8%ish performance impact from the tuple comprehension on the defun no-signature-call microbenchmarks. I don't see a much faster way to do this without rewriting it in C, but I'm open to ideas. I've avoided re-packing the input tuple unless there's actually a numpy array, so this CL will slow down NumPy defun calls more (in addition to the convert_to_tensor overhead).

After:

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}

entry {
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Before:

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}

entry {
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}

entry {
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}

entry {
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PiperOrigin-RevId: 212491803