Add image classification unit test using simplified fluid API #10306
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cs2be
requested review from
abhinavarora,
daming-lu,
helinwang,
jetfuel and
sidgoyal78
sidgoyal78
reviewed
May 1, 2018
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sidgoyal78
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sidgoyal78
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Thanks for the PR, this looks good. Are we going to merge into develop?
jetfuel
approved these changes
May 1, 2018
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| def event_handler(event): | ||
| if isinstance(event, fluid.EndIteration): | ||
| if (event.batch_id % 10) == 0: |
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Glad that we have batch_id return in the event.
| def main(use_cuda): | ||
| if use_cuda and not fluid.core.is_compiled_with_cuda(): | ||
| return | ||
| save_path = "image_classification_resnet.inference.model" |
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Use save_path actually make the program easier to read. Nice!
Now we can split the train and infer functions
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