pylearn: test_dataset.py comparison

merged

author	James Bergstra <bergstrj@iro.umontreal.ca>
date	Tue, 03 Jun 2008 13:18:33 -0400
parents	0fb75fdd727d
children	474be3d12c23

comparison

equal deleted inserted replaced

-:82ba488b2c24
+:e93e511deb9a
 import time
 a2 = numpy.random.rand(100000,400)
 ds = ArrayDataSet(a2,{'all':slice(0,a2.shape[1],1)})
 mat = numpy.random.rand(400,100)
 @print_timing
-def f_array1(a):
+def f_array_full(a):
 a+1
 @print_timing
-def f_array2(a):
+def f_array_index(a):
 for id in range(a.shape[0]):
 #            pass
 a[id]+1
 #            a[id]*mat
 @print_timing
-def f_ds(ds):
+def f_array_iter(a):
+for r in a:
+#            pass
+r+1
+#            r*mat
+@print_timing
+def f_ds_index(ds):
+for id in range(len(ds)):
+#            pass
+ds[id][0]+1
+#            ds[id][0]*mat
+@print_timing
+def f_ds_iter(ds):
 for ex in ds:
 #            pass
 ex[0]+1
-#            a[id]*mat
+#            a[0]*mat
 @print_timing
 def f_ds_mb1(ds,mb_size):
 for exs in ds.minibatches(minibatch_size = mb_size):
 for ex in exs:
 #                pass
 ex[0]+1
-#                ex[id]*mat
+#                ex[0]*mat
 @print_timing
 def f_ds_mb2(ds,mb_size):
 for exs in ds.minibatches(minibatch_size = mb_size):
 #            pass
 exs[0]+1
-#            ex[id]*mat
+#            ex[0]*mat
-f_array1(a2)
+f_array_full(a2)
-f_array2(a2)
+f_array_index(a2)
+f_array_iter(a2)
-f_ds(ds)
+f_ds_index(ds)
+f_ds_iter(ds)
 f_ds_mb1(ds,10)
 f_ds_mb1(ds,100)
 f_ds_mb1(ds,1000)
 f_ds_mb1(ds,10000)

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