apeforest commented on a change in pull request #17242: add RandomApply in
gluon's transforms
URL: https://github.com/apache/incubator-mxnet/pull/17242#discussion_r363944967
##########
File path: tests/python/unittest/test_gluon_data_vision.py
##########
@@ -229,6 +229,21 @@ def test_transformer():
transform(mx.nd.ones((245, 480, 3), dtype='uint8')).wait_to_read()
+@with_seed()
+def test_randomtransforms():
+ from mxnet.gluon.data.vision import transforms
+
+ transform =
transforms.Compose([transforms.RandomApply(transforms.Compose([transforms.Resize(300),
transforms.RandomResizedCrop(224)]), 0.5)])
+
+ img = mx.nd.ones((245, 480, 3), dtype='uint8')
+ iteration = 1000
+ num_apply = 0
+ for i in range(iteration):
+ out = transform(img)
+ if out.shape[0] == 224:
+ num_apply += 1
+ assert(abs(num_apply/float(iteration)-0.5) < 1e-1)
Review comment:
Use `assert_almost_equal` from test_util?
https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/test_utils.py
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