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utils/data.py

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+import numpy as np
+
+
+def pad_data(x, length):
+    _pad = 0
+    return np.pad(x, (0, length - x.shape[0]), mode='constant', constant_values=_pad)
+
+
+def prepare_data(inputs):
+    max_len = max((len(x) for x in inputs))
+    return np.stack([pad_data(x, max_len) for x in inputs])
+
+
+def pad_per_step(inputs, outputs_per_step):
+    timesteps = inputs.shape[-1]
+    return np.pad(inputs, [[0, 0], [0, 0],
+                           [0, outputs_per_step - (timesteps % outputs_per_step)]],
+                  mode='constant', constant_values=0.0)