Do not load model if it's already loaded #27
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Not only is this slow, this will break on GPUs because TensorFlow does not release its allocated memory. So if you try to run a catalog with multiple files on a GPU, the first file will succeed, and the second file will give you an OOM error.
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I'm not totally sure how this interacts with multiple processes though, or if this creates some sort of race condition. On first glance I think it's fine but I haven't thought about this deeply. I made this PR because I hit this issue and the change I put in this PR fixed it so figured I'd put this up in case someone else hits this. |
Otherwise using this on GPU fails, because TensorFlow constantly allocates the entire heap and doesn't let go of it
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Not only is this slow, this will break on GPUs because TensorFlow does not release its allocated memory. So if you try to run a catalog with multiple files on a GPU, the first file will succeed, and the second file will give you an OOM error.