module 'mxnet.symbol' has no attribute 'SoftmaxOutput'

[llv22]

Description

build mxnet with gpu on ubuntu 16.04 and found the aforementioned issue. I use master branch to build mxnet and installed mxnet in my local, build code as follow:

git clone --recursive https://github.com/apache/incubator-mxnet.git mxnet
cd mxnet
cp config/linux_gpu.cmake config.cmake 
rm -rf build
mkdir -p build && cd build
cmake ..
cmake --build . --parallel 16
cd python
python setup.py bdist_wheel
cp ../build/libmxnet.so ~/miniconda3/lib/python3.8/site-packages/mxnet/ 

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)

in 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, , 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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[wkcn]

Hi @llv22 , SoftmaxOutput has been deprecated in MXNet 2.0 (the master branch, https://github.com/apache/incubator-mxnet/pull/18531). In order to use SoftmaxOutput, you can use MXNet 1.x (the branch v1.x, https://github.com/apache/incubator-mxnet/tree/v1.x)

[llv22]

@wkcn So if moving to v2.0, any suggestions?I mean, any alternative for it? Could you post a reference of migration?

[szha]

@llv22 you can use mx.npx.softmax for the same.

[kohillyang]

I think what you need is https://mxnet.apache.org/versions/1.6/api/python/docs/api/gluon/loss/index.html, however, as wkcn said, you should use v1.x branch instead.

[AlexandrParkhomenko]

mx.npx.softmax

>> import mxnet as mx
>> print(mx.__version__)
2.0.0

cd example/kaggle-ndsb1 python train_dsb.py Traceback (most recent call last): File "/p/mxnet-git/example/kaggle-ndsb1/train_dsb.py", line 64, in net = importlib.importmodule('symbol' + args.network).get_symbol(args.num_classes) File "/p/mxnet-git/example/kaggle-ndsb1/symbol_dsb.py", line 46, in get_symbol net = mx.npx.softmax(data=net, name='softmax') File "", line 56, in softmax AssertionError: Argument data must have NDArray type, but got

[szha]

@AlexandrParkhomenko npx.softmax is intended for ndarray only. If you are still using symbol, you can use mx.sym.softmax