pengzhao-intel commented on issue #16830: CI error in unix gpu test_quantization_gpu.test_quantized_conv URL: https://github.com/apache/incubator-mxnet/issues/16830#issuecomment-558862104 > Happening again: http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/master/1325/pipeline > > ``` > > ====================================================================== > > FAIL: test_quantization_mkldnn.test_quantized_conv > > ---------------------------------------------------------------------- > > Traceback (most recent call last): > > File "/usr/local/lib/python3.5/dist-packages/nose/case.py", line 198, in runTest > > self.test(*self.arg) > > File "/usr/local/lib/python3.5/dist-packages/nose/util.py", line 620, in newfunc > > return func(*arg, **kw) > > File "/work/mxnet/tests/python/mkl/../unittest/common.py", line 177, in test_new > > orig_test(*args, **kwargs) > > File "/work/mxnet/tests/python/mkl/../quantization/test_quantization.py", line 277, in test_quantized_conv > > check_quantized_conv((3, 4, 28, 28), (3, 3), 128, (1, 1), (1, 1), False, qdtype) > > File "/work/mxnet/tests/python/mkl/../quantization/test_quantization.py", line 273, in check_quantized_conv > > assert cond == 0 > > AssertionError: > > -------------------- >> begin captured stdout << --------------------- > > skipped testing quantized_conv for mkldnn cpu int8 since it is not supported yet > > skipped testing quantized_conv for mkldnn cpu int8 since it is not supported yet > ``` > > @xinyu-intel @PatricZhao Anyone could take a look? Yes, @xinyu-intel is looking for this and the PR is under the testing.
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