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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/08/01 02:26:43 UTC
[GitHub] [incubator-mxnet] fierceX opened a new issue #15716: Increase amp
support for Bi-lstm and Concat operators in gluon
fierceX opened a new issue #15716: Increase amp support for Bi-lstm and Concat operators in gluon
URL: https://github.com/apache/incubator-mxnet/issues/15716
Now amp does not support the bi-lstm and concat operators in gluon. I am getting the following error in converting a network with bi-lstm:
```
Traceback (most recent call last):
File "predict.py", line 60, in <module>
net = amp.convert_hybrid_block(model)
File "/home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet/contrib/amp/amp.py", line 636, in convert_hybrid_block
cast_optional_params=cast_optional_params)
File "/home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet/contrib/amp/amp.py", line 505, in convert_symbol
keys))
File "/home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet/base.py", line 253, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: Error in operator lstm0__rnn_param_concat0: [09:35:15] src/operator/nn/concat.cc:158: Not enough information to infer type in Concat.
Stack trace:
[bt] (0) /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x4ee77b) [0x7f213625c77b]
[bt] (1) /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x8ff5d0) [0x7f213666d5d0]
[bt] (2) /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x297275e) [0x7f21386e075e]
[bt] (3) /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x297bafe) [0x7f21386e9afe]
[bt] (4) /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet/libmxnet.so(+0x297c54a) [0x7f21386ea54a]
[bt] (5) /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet/libmxnet.so(MXReducePrecisionSymbol+0x1610) [0x7f213864e600]
[bt] (6) /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call_unix64+0x4c) [0x7f21bc290ec0]
[bt] (7) /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/lib-dynload/../../libffi.so.6(ffi_call+0x22d) [0x7f21bc29087d]
[bt] (8) /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/lib-dynload/_ctypes.cpython-36m-x86_64-linux-gnu.so(_ctypes_callproc+0x2ce) [0x7f21c3dfeede]
```
Hardware and version information:
```
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: 16
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Gold 6151 CPU @ 3.00GHz
Stepping: 4
CPU MHz: 3000.000
BogoMIPS: 6000.00
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 25344K
NUMA node0 CPU(s): 0-31
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 arch_perfmon rep_good nopl xtopology nonstop_tsc eagerfpu 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 ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 arat spec_ctrl intel_stibp flush_l1d
----------Python Info----------
Version : 3.6.9
Compiler : GCC 7.3.0
Build : ('default', 'Jul 30 2019 19:07:31')
Arch : ('64bit', '')
------------Pip Info-----------
Version : 19.1.1
Directory : /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/pip
----------MXNet Info-----------
Version : 1.6.0
Directory : /home/tiger/anaconda3/envs/mx1.6/lib/python3.6/site-packages/mxnet
Commit Hash : 0f28f5b827c718dcab7bbf2617e16a59ad3f601c
Library : ['/home/tiger/anaconda3/envs/mx1.6/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-3.10.0-862.14.4.el7.x86_64-x86_64-with-centos-7.5.1804-Core
system : Linux
node : dp-prod-dc3-gpu01
release : 3.10.0-862.14.4.el7.x86_64
version : #1 SMP Wed Sep 26 15:12:11 UTC 2018
----------Hardware Info----------
machine : x86_64
processor : x86_64
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0033 sec, LOAD: 0.9312 sec.
Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0025 sec, LOAD: 1.1405 sec.
Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 2.9024 sec, LOAD: 2.5129 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 1.4263 sec, LOAD: 5.9768 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.1766 sec, LOAD: 5.7293 sec.
Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 1.0143 sec, LOAD: 0.8343 sec.
```
The mxnet version is:`mxnet-cu100==1.6.0b20190730`，GPU is NVIDIA V100 16G.
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