fix CIFAR MNIST UCIHousing dataset. test=develop #27368
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heavengate
changed the title
qingqing01
previously approved these changes
Sep 17, 2020
saxon-zh
reviewed
Sep 17, 2020
| @@ -103,7 +103,8 @@ def _load_data(self, feature_num=14, ratio=0.8): | |||
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| def __getitem__(self, idx): | |||
| data = self.data[idx] | |||
| return np.array(data[:-1]), np.array(data[-1:]) | |||
| return np.array(data[:-1]).astype('float32'), \ | |||
| np.array(data[-1:]).astype('float32') | |||
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这个建议使用 paddle.get_default_dtype() 来获取默认转换的数据dtype，这样用户在使用set_default_dtype调整了默认dtype后也会保证使用体验一致。
qingqing01
approved these changes
Sep 21, 2020
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chw_formatofpaddle.vision.datasets.MNISTpaddle.vision.datasets.MNISTpaddle.vision.datasets.CIFAR10paddle.vision.datasets.CIFAR100output image in [C, H, W] formatpaddle.vision.datasets.MNISTpaddle.text.datasets.UCIHousingreturn numpy ndarray with dtype asfloat32