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Error Message
What have you tried to solve it?
Environment
DGL Version (e.g., 1.0): 0.6.1 Backend Library & Version: MXNet 1.7.0.post2 OS (e.g., Linux): Linux Python version: 3.6 CUDA/cuDNN version (if applicable): 10.2
Paste the diagnose.py command output here
----------Python Info---------- Version : 3.6.13 Compiler : GCC 7.3.0 Build : ('default', 'Feb 23 2021 21:15:04') Arch : ('64bit', '') ------------Pip Info----------- Version : 21.1.1 Directory : /root/anaconda3/envs/fraud/lib/python3.6/site-packages/pip ----------MXNet Info----------- Version : 1.7.0 Directory : /root/anaconda3/envs/fraud/lib/python3.6/site-packages/mxnet Commit Hash : 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a 64f737cdd59fe88d2c5b479f25d011c5156b6a8a Library : ['/root/anaconda3/envs/fraud/lib/python3.6/site-packages/mxnet/libmxnet.so'] Build features: ✖ CUDA ✖ CUDNN ✖ NCCL ✖ CUDA_RTC ✖ TENSORRT ✔ CPU_SSE ✔ CPU_SSE2 ✔ CPU_SSE3 ✔ CPU_SSE4_1 ✔ CPU_SSE4_2 ✖ CPU_SSE4A ✔ CPU_AVX ✖ CPU_AVX2 ✔ OPENMP ✖ SSE ✔ F16C ✖ JEMALLOC ✔ BLAS_OPEN ✖ BLAS_ATLAS ✖ BLAS_MKL ✖ BLAS_APPLE ✔ LAPACK ✔ MKLDNN ✔ OPENCV ✖ CAFFE ✖ PROFILER ✔ DIST_KVSTORE ✖ CXX14 ✖ INT64_TENSOR_SIZE ✔ SIGNAL_HANDLER ✖ DEBUG ✖ TVM_OP ----------System Info---------- Platform : Linux-4.15.0-143-generic-x86_64-with-debian-buster-sid system : Linux node : iZuf6ag2pwkbiqhcmcsmztZ release : 4.15.0-143-generic version : #147-Ubuntu SMP Wed Apr 14 16:10:11 UTC 2021 ----------Hardware Info---------- machine : x86_64 processor : x86_64 Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 2 On-line CPU(s) list: 0,1 Thread(s) per core: 2 Core(s) per socket: 1 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 79 Model name: Intel(R) Xeon(R) CPU E5-2682 v4 @ 2.50GHz Stepping: 1 CPU MHz: 2494.222 BogoMIPS: 4988.44 Hypervisor vendor: KVM Virtualization type: full L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 40960K NUMA node0 CPU(s): 0,1 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx smap xsaveopt arat ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0013 sec, LOAD: 0.7286 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.7351 sec, LOAD: 0.5663 sec. Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:852)>, DNS finished in 0.7319622039794922 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0968 sec, LOAD: 0.9862 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0641 sec, LOAD: 1.3781 sec. Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.1932373046875 sec. ----------Environment---------- KMP_DUPLICATE_LIB_OK="True" KMP_INIT_AT_FORK="FALSE"