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train_predict: fixup
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1 changed files with 2 additions and 1 deletions
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@ -91,7 +91,8 @@ def do_png(args, ai, dataset, model_code):
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model_params = json.loads(readfile(args.params))
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model_params = json.loads(readfile(args.params))
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i = 0
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i = 0
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for rainfall, water in batched_iterator(dataset, tensors_in_item=2, batch_size=model_params["batch_size"]):
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gen = batched_iterator(dataset, tensors_in_item=2, batch_size=model_params["batch_size"])
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for rainfall, water in gen:
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water_predict_batch = ai.embed(rainfall)
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water_predict_batch = ai.embed(rainfall)
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for water_predict in water_predict_batch:
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for water_predict in water_predict_batch:
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# [ width, height, softmax_probabilities ] → [ batch, width, height ]
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# [ width, height, softmax_probabilities ] → [ batch, width, height ]
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