Created
May 18, 2015 15:45
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Different behaviour in gpu and cpu.
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import theano | |
import numpy | |
from collections import OrderedDict | |
from fuel.datasets import IndexableDataset | |
from fuel.streams import DataStream | |
from fuel.schemes import SequentialScheme | |
from theano import tensor | |
from blocks.monitoring.evaluators import DatasetEvaluator | |
from blocks.monitoring.aggregation import Mean | |
num_examples = 5 | |
num_batches = 3 | |
batch_size = 2 | |
features = numpy.array([[3, 3], | |
[2, 9], | |
[2, 4], | |
[5, 1], | |
[3, 3]], dtype=theano.config.floatX) | |
print -features.mean(axis = 0) | |
#[-3. -4.] | |
dataset = IndexableDataset(OrderedDict([('features', features)])) | |
x = tensor.matrix('features') | |
y = -x | |
y.name = 'y' | |
y.tag.aggregation_scheme = Mean(y.sum(axis=0), y.shape[0]) | |
data_stream_2 = DataStream(dataset, | |
iteration_scheme=SequentialScheme(num_examples, 2)) | |
print DatasetEvaluator([y]).evaluate(data_stream_2)['y'] |
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