[GitHub] anirudh2290 commented on a change in pull request #10078: [MXNET-92] Support float16 in L2Normalization operator

2018-03-20 Thread GitBox
anirudh2290 commented on a change in pull request #10078: [MXNET-92] Support 
float16 in L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r175856452
 
 

 ##
 File path: tests/python/unittest/test_operator.py
 ##
 @@ -2397,21 +2397,22 @@ def check_l2_normalization(in_shape, mode, 
norm_eps=1e-10):
 exe = out.simple_bind(ctx=ctx, data=in_data.shape)
 output = exe.forward(is_train=True, data=in_data)
 # compare numpy + mxnet
-assert_almost_equal(exe.outputs[0].asnumpy(), np_out, rtol=1e-5)
+assert_almost_equal(exe.outputs[0].asnumpy(), np_out, rtol=1e-2 if dtype 
is 'float16' else 1e-5, atol=1e-20)
 
 Review comment:
   default is 1e-20 can you make atol bigger than this number maybe 1e-5 ?


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[GitHub] anirudh2290 commented on a change in pull request #10078: [MXNET-92] Support float16 in L2Normalization operator

2018-03-13 Thread GitBox
anirudh2290 commented on a change in pull request #10078: [MXNET-92] Support 
float16 in L2Normalization operator
URL: https://github.com/apache/incubator-mxnet/pull/10078#discussion_r174246995
 
 

 ##
 File path: tests/python/unittest/test_operator.py
 ##
 @@ -2396,21 +2396,22 @@ def check_l2_normalization(in_shape, mode, 
norm_eps=1e-10):
 exe = out.simple_bind(ctx=ctx, data=in_data.shape)
 output = exe.forward(is_train=True, data=in_data)
 # compare numpy + mxnet
-assert_almost_equal(exe.outputs[0].asnumpy(), np_out, rtol=1e-5)
+assert_almost_equal(exe.outputs[0].asnumpy(), np_out, rtol=1e-2 if dtype 
is 'float16' else 1e-5)
 
 Review comment:
   can  you also pass atol here. Default is 1e-20 which may result in test 
becoming flaky if the numbers are small.


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