pengxin99 commented on issue #13221: Flaky tests: test_gluon_model_zoo_gpu.test_training URL: https://github.com/apache/incubator-mxnet/issues/13221#issuecomment-440899373 @lebeg Thanks, and I build with openblas, but still can`t reproduce this issue, i want to know if this issue appear every time in your envrionment? - `make -j20 DEV=1 USE_MKLDNN=1 USE_BLAS=openblas USE_CUDA=1 USE_CUDNN=1 USE_CUDA_PATH=/usr/local/cuda-9.0/` - MXNET_TEST_SEED=241519495 > [INFO] Setting module np/mx/python random seeds, use MXNET_MODULE_SEED=1185757949 to reproduce. [WARNING] *** test-level seed set: all "@with_seed()" tests run deterministically *** [INFO] Setting test np/mx/python random seeds, use MXNET_TEST_SEED=241519495 to reproduce. [10:39:00] src/io/iter_image_recordio_2.cc:172: ImageRecordIOParser2: data/val-5k-256.rec, use 1 threads for decoding.. testing resnet18_v1 [10:39:02] src/operator/nn/mkldnn/mkldnn_base.cc:74: Allocate 147456 bytes with malloc directly [10:39:02] src/operator/nn/mkldnn/mkldnn_base.cc:74: Allocate 8028160 bytes with malloc directly [10:39:04] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:97: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable) resnet18_v1: CPU 3.3956556, GPU 3.395655 testing densenet121 [10:39:07] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:97: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable) densenet121: CPU 2.91124, GPU 2.9112394 . Ran 1 test in 9.157s OK
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