llv22 opened a new issue #19177:
URL: https://github.com/apache/incubator-mxnet/issues/19177
## Description
build mxnet with gpu on ubuntu 16.04 and found the aforementioned issue.
### Error Message
(Paste the complete error message. Please also include stack trace by
setting environment variable `DMLC_LOG_STACK_TRACE_DEPTH=10` before running
your script.)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-2-e0de118b6fc1> in <module>
3 net = mx.sym.Activation(net, name='relu1', act_type="relu")
4 net = mx.sym.FullyConnected(net, name='fc2', num_hidden=26)
----> 5 net = mx.symbol.SoftmaxOutput(data=net, label = "output",\
6 multi_output=true, use_ignore=true,\
7 ignore_label=false)
AttributeError: module 'mxnet.symbol' has no attribute 'SoftmaxOutput'
## To Reproduce
(If you developed your own code, please provide a short script that
reproduces the error. For existing examples, please provide link.)
import logging
logging.getLogger().setLevel(logging.INFO)
import mxnet as mx
import numpy as np
mx.random.seed(1234)
fname =
mx.test_utils.download('https://s3.us-east-2.amazonaws.com/mxnet-public/letter_recognition/letter-recognition.data')
data = np.genfromtxt(fname, delimiter=',')[:,1:]
label = np.array([ord(l.split(',')[0])-ord('A') for l in open(fname, 'r')])
batch_size = 32
ntrain = int(data.shape[0]*0.8)
train_iter = mx.io.NDArrayIter(data[:ntrain, :], label[:ntrain], batch_size,
shuffle=True)
val_iter = mx.io.NDArrayIter(data[ntrain:, :], label[ntrain:], batch_size)
net = mx.sym.Variable('data')
net = mx.sym.FullyConnected(net, name='fc1', num_hidden=64)
net = mx.sym.Activation(net, name='relu1', act_type="relu")
net = mx.sym.FullyConnected(net, name='fc2', num_hidden=26)
net = mx.sym.SoftmaxOutput(data=net, label = "output")
mx.viz.plot_network(net)
### Steps to reproduce
(Paste the commands you ran that produced the error.)
1. just want the above code
## Environment
We recommend using our script for collecting the diagnositc information. Run
the following command and paste the outputs below:
```
curl --retry 10 -s
https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
| python
# paste outputs here
----------Python Info----------
Version : 3.8.2
Compiler : GCC 7.3.0
Build : ('default', 'Mar 26 2020 15:53:00')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
Version : 20.2.2
Directory : /home/dluser1/miniconda3/lib/python3.8/site-packages/pip
----------MXNet Info-----------
Version : 2.0.0
Directory : /home/dluser1/dl-frameworks/mxnet/python/mxnet
Commit hash file
"/home/dluser1/dl-frameworks/mxnet/python/mxnet/COMMIT_HASH" not found. Not
installed from pre-built package or built from source.
Library :
['/home/dluser1/dl-frameworks/mxnet/python/mxnet/../../build/libmxnet.so']
Build features:
✔ CUDA
✔ CUDNN
✔ NCCL
✖ 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
✖ DIST_KVSTORE
✖ INT64_TENSOR_SIZE
✔ SIGNAL_HANDLER
✖ DEBUG
✖ TVM_OP
----------System Info----------
Platform : Linux-4.4.0-187-generic-x86_64-with-glibc2.10
system : Linux
node : cnpvgl903653
release : 4.4.0-187-generic
version : #217-Ubuntu SMP Tue Jul 21 04:18:15 UTC 2020
----------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): 32
On-line CPU(s) list: 0-31
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 2
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 63
Model name: Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz
Stepping: 2
CPU MHz: 1295.156
CPU max MHz: 3200.0000
CPU min MHz: 1200.0000
BogoMIPS: 4795.58
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 20480K
NUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30
NUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge
mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx
pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology
nonstop_tsc aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2
ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt
tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm epb invpcid_single
ssbd ibrs ibpb stibp kaiser tpr_shadow vnmi flexpriority ept vpid fsgsbase
tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm xsaveopt cqm_llc cqm_occup_llc
dtherm ida arat pln pts md_clear flush_l1d
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0050
sec, LOAD: 1.0113 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.2449 sec, LOAD:
2.2304 sec.
Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL:
CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired
(_ssl.c:1108)>, DNS finished in 0.18293499946594238 sec.
Timing for FashionMNIST:
https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
DNS: 0.0746 sec, LOAD: 3.4065 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0740 sec, LOAD:
1.7208 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403:
Forbidden, DNS finished in 0.04107522964477539 sec.
----------Environment----------
MXNET_GLUON_REPO="https://apache-mxnet.s3.cn-north-1.amazonaws.com.cn/";
KMP_DUPLICATE_LIB_OK="True"
KMP_INIT_AT_FORK="FALSE"
```
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