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- # Input data.
- train_inputs, train_outputs = [],[]
- # You unroll the input over time defining placeholders for each time step
- for ui in range(num_unrollings):
- train_inputs.append(tf.placeholder(tf.float32, shape=[batch_size,D],name='train_inputs_%d'%ui))
- train_outputs.append(tf.placeholder(tf.float32, shape=[batch_size,1], name = 'train_outputs_%d'%ui))
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