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#!/usr/bin/env python |
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# -*- coding: utf-8 -*- |
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import numpy as np |
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from deepy.core.env import FLOATX |
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def pad_dataset(subset, side="right", length=-1): |
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""" |
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Pad data set to specified length. |
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Parameters: |
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length - max length, a just to the max length in the batch if length is -1 |
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""" |
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assert length == -1 or length > 0 |
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if type(subset[0][0][0]) in [float, int, np.int64, np.int32, np.float32]: |
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return _pad_2d(subset, side, length) |
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else: |
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return _pad_3d(subset, side, length) |
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def _pad_2d(subset, side, length): |
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new_set = [] |
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max_len = max([len(x) for x, _ in subset]) if length == -1 else length |
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for x, y in subset: |
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if len(y) > max_len: |
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y = y[:max_len] |
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elif len(y) < max_len: |
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if side == "left": |
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y = [0 for _ in range(max_len - len(y))] + y |
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elif side == "right": |
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y = y + [0 for _ in range(max_len - len(y))] |
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if len(x) > max_len: |
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x = x[:max_len] |
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elif len(x) < max_len: |
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if side == "left": |
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x = [0 for _ in range(max_len - len(x))] + x |
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elif side == "right": |
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x = x + [0 for _ in range(max_len - len(x))] |
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new_set.append((x, y)) |
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return new_set |
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def _pad_3d(subset, side, length): |
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row_size = subset[0][0][0].shape[0] |
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new_set = [] |
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max_len = max([len(x) for x, _ in subset]) if length == -1 else length |
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for x, y in subset: |
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if type(y) == list: |
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# Clip target vector |
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if len(y) > max_len: |
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y = y[:max_len] |
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elif len(y) < max_len: |
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if side == "left": |
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y = [0 for _ in range(max_len - len(y))] + y |
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elif side == "right": |
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y = y + [0 for _ in range(max_len - len(y))] |
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if len(x) > max_len: |
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x = x[:max_len] |
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elif len(x) < max_len: |
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pad_length = max_len - len(x) |
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pad_matrix = np.zeros((pad_length,row_size), dtype=FLOATX) |
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if side == "left": |
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x = np.vstack([pad_matrix, x]) |
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elif side == "right": |
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x = np.vstack([x, pad_matrix]) |
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else: |
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return Exception("Side of padding must be 'left' or 'right'") |
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new_set.append((x, y)) |
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return new_set |
zomux /
deepy
