提交 aede8aa0 编写于 作者: W wangyang59 提交者: Yu Yang

improve demo/mnist dataProvider speed

上级 e83f17a3
from paddle.trainer.PyDataProvider2 import *
import numpy
# Define a py data provider
@provider(
input_types={'pixel': dense_vector(28 * 28),
'label': integer_value(10)})
'label': integer_value(10)},
cache=CacheType.CACHE_PASS_IN_MEM)
def process(settings, filename): # settings is not used currently.
imgf = filename + "-images-idx3-ubyte"
labelf = filename + "-labels-idx1-ubyte"
......@@ -20,12 +21,12 @@ def process(settings, filename): # settings is not used currently.
else:
n = 10000
for i in range(n):
label = ord(l.read(1))
pixels = []
for j in range(28 * 28):
pixels.append(float(ord(f.read(1))) / 255.0)
yield {"pixel": pixels, 'label': label}
images = numpy.fromfile(f, 'ubyte', count=n*28*28).reshape((n, 28*28)).astype('float32')
images = images / 255.0 * 2.0 - 1.0
labels = numpy.fromfile(l, 'ubyte', count=n).astype("int")
for i in xrange(n):
yield {"pixel": images[i, :], 'label': labels[i]}
f.close()
l.close()
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