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predictor: disable rebatching (until we have flexible batch sizes)
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1 changed files with 2 additions and 1 deletions
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@ -111,7 +111,7 @@ class Predictor(mp.context.SpawnProcess):
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"binarization": 4,
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"enhancement": 4,
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"reading_order": 4,
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# medium size (672x672)...
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# medium size (672x672x3)...
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"textline": 2,
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# large models...
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"table": 1,
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@ -119,6 +119,7 @@ class Predictor(mp.context.SpawnProcess):
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"region_fl_np": 1,
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"region_fl": 1,
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}.get(self.name, 1)
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REBATCH_SIZE = 1 # save VRAM; FIXME: re-enable w/ runtime parameter
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if not len(shared_data):
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#self.logger.debug("getting '%d' output shape of model '%s'", jobid, self.name)
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result = self.model.output_shape
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