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run eval on benchmark beam
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@@ -538,6 +538,8 @@ def train_retinanet():
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print(f"Estimated training time: {estimated_total_minutes // 60}h{estimated_total_minutes % 60}m")
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print(f"epoch global_ops: {steps_in_train_epoch * GlobalCounters.global_ops:_}, "
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f"epoch global_mem: {steps_in_train_epoch * GlobalCounters.global_mem:_}")
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# if we are doing beam search, run the first eval too
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if (TRAIN_BEAM or EVAL_BEAM) and e == start_epoch: break
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return
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# ** eval loop **
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