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@ -112,7 +112,7 @@ val_dataset = TaskMixture([
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# DataLoader is defined here, it emits inputs, targets : 2D tensors of shape (device_batch_size, max_seq_len)
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# A big problem is that we don't know the final num_iterations in advance. So we create
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# these two global variables and update them from within the data generator.
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last_step = False # we will toggle this to True when we reach the end of the dataset
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last_step = False # we will toggle this to True when we reach the end of the training dataset
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approx_progress = 0.0 # will go from 0 to 1 over the course of the epoch
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def mid_data_generator(split):
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global last_step, approx_progress
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