adding overlooked dataset changes
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@ -83,7 +83,8 @@ class MNISTDataProvider(DataProvider):
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max_num_batches=-1,
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max_num_examples=-1,
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randomize=True,
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rng=None):
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rng=None,
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conv_reshape=False):
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super(MNISTDataProvider, self).\
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__init__(batch_size, randomize, rng)
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@ -119,6 +120,7 @@ class MNISTDataProvider(DataProvider):
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self.x = x
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self.t = t
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self.num_classes = 10
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self.conv_reshape = conv_reshape
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self._rand_idx = None
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if self.randomize:
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@ -162,6 +164,9 @@ class MNISTDataProvider(DataProvider):
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self._curr_idx += self.batch_size
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if self.conv_reshape:
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rval_x = rval_x.reshape(self.batch_size, 1, 28, 28)
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return rval_x, self.__to_one_of_k(rval_t)
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def num_examples(self):
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