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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/05/07 17:32:37 UTC
[GitHub] [incubator-mxnet] access2rohit opened a new issue #18258: Opperf fails when running for all operators (both CPU and GPU ctx)
access2rohit opened a new issue #18258:
URL: https://github.com/apache/incubator-mxnet/issues/18258
## Description
I ran the following command to obtain individual operator performance w/ and w/o Large Tensor Support on both CPU and GPU
```
#CPU
python incubator-mxnet/benchmark/opperf/opperf.py --output-format json --output-file mxnet_operator_benchmark_results.json
#GPU
python incubator-mxnet/benchmark/opperf/opperf.py --ctx gpu --output-format json --output-file mxnet_operator_benchmark_results.json
```
### Error Message
In both contexts(CPU and GPU) I get the following error log:
```
INFO:root:Begin Benchmark - BatchNorm
INFO:root:Complete Benchmark - BatchNorm
INFO:root:Begin Benchmark - Correlation
INFO:root:Complete Benchmark - Correlation
INFO:root:Begin Benchmark - Dropout
INFO:root:Complete Benchmark - Dropout
INFO:root:Begin Benchmark - Embedding
INFO:root:Complete Benchmark - Embedding
INFO:root:Begin Benchmark - FullyConnected
INFO:root:Complete Benchmark - FullyConnected
Traceback (most recent call last):
File "benchmark/opperf/opperf.py", line 227, in <module>
sys.exit(main())
File "benchmark/opperf/opperf.py", line 207, in main
benchmark_results = run_all_mxnet_operator_benchmarks(ctx=ctx, dtype=dtype, profiler=profiler, int64_tensor=int64_tensor, warmup=warmup, runs=runs)
File "benchmark/opperf/opperf.py", line 113, in run_all_mxnet_operator_benchmarks
mxnet_operator_benchmark_results.append(run_nn_basic_operators_benchmarks(ctx=ctx, dtype=dtype, profiler=profiler, int64_tensor=int64_tensor, warmup=warmup, runs=runs))
File "/home/ubuntu/workspace/incubator-mxnet/benchmark/opperf/nd_operations/nn_basic_operators.py", line 143, in run_nn_basic_operators_benchmarks
mx_nn_basic_op_results = run_op_benchmarks(mx_nn_basic_ops, dtype, ctx, profiler, int64_tensor, warmup, runs)
File "/home/ubuntu/workspace/incubator-mxnet/benchmark/opperf/utils/benchmark_utils.py", line 210, in run_op_benchmarks
warmup=warmup, runs=runs)
File "/home/ubuntu/workspace/incubator-mxnet/benchmark/opperf/utils/benchmark_utils.py", line 177, in run_performance_test
benchmark_result = _run_nd_operator_performance_test(op, inputs, run_backward, warmup, runs, kwargs_list, profiler)
File "/home/ubuntu/workspace/incubator-mxnet/benchmark/opperf/utils/benchmark_utils.py", line 114, in _run_nd_operator_performance_test
_, _ = benchmark_helper_func(op, warmup, **kwargs_list[0])
File "/home/ubuntu/workspace/incubator-mxnet/benchmark/opperf/utils/profiler_utils.py", line 200, in cpp_profile_it
res = func(*args, **kwargs)
File "/home/ubuntu/workspace/incubator-mxnet/benchmark/opperf/utils/ndarray_utils.py", line 60, in nd_forward_backward_and_profile
nd.waitall()
File "/home/ubuntu/workspace/incubator-mxnet/python/mxnet/ndarray/ndarray.py", line 211, in waitall
check_call(_LIB.MXNDArrayWaitAll())
File "/home/ubuntu/workspace/incubator-mxnet/python/mxnet/base.py", line 246, in check_call
raise get_last_ffi_error()
mxnet.base.MXNetError: Traceback (most recent call last):
File "../include/mxnet/././tensor_blob.h", line 198
```
## 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/dmlc/gluon-nlp/master/tools/diagnose.py | python
# paste outputs here
```
```
ubuntu@ip-172-31-0-156 ~/workspace/incubator-mxnet (master) $ curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python
----------Python Info----------
Version : 3.6.6
Compiler : GCC 7.3.0
Build : ('default', 'Oct 9 2018 12:34:16')
Arch : ('64bit', '')
------------Pip Info-----------
Version : 19.3.1
Directory : /home/ubuntu/anaconda3/lib/python3.6/site-packages/pip
----------MXNet Info-----------
Version : 2.0.0
Directory : /home/ubuntu/workspace/incubator-mxnet/python/mxnet
Num GPUs : 8
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Linux-5.3.0-1017-aws-x86_64-with-debian-buster-sid
system : Linux
node : ip-172-31-0-156
release : 5.3.0-1017-aws
version : #18~18.04.1-Ubuntu SMP Wed Apr 8 15:12:16 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): 64
On-line CPU(s) list: 0-63
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 2
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 79
Model name: Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz
Stepping: 1
CPU MHz: 2714.244
CPU max MHz: 3000.0000
CPU min MHz: 1200.0000
BogoMIPS: 4600.17
Hypervisor vendor: Xen
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 256K
L3 cache: 46080K
NUMA node0 CPU(s): 0-15,32-47
NUMA node1 CPU(s): 16-31,48-63
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq monitor est ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single pti fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx xsaveopt ida
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0024 sec, LOAD: 0.5204 sec.
Timing for GluonNLP GitHub: https://github.com/dmlc/gluon-nlp, DNS: 0.0009 sec, LOAD: 0.4424 sec.
Timing for GluonNLP: http://gluon-nlp.mxnet.io, DNS: 0.0858 sec, LOAD: 0.0844 sec.
Timing for D2L: http://d2l.ai, DNS: 0.0102 sec, LOAD: 0.1282 sec.
Timing for D2L (zh-cn): http://zh.d2l.ai, DNS: 0.0307 sec, LOAD: 0.1754 sec.
Timing for FashionMNIST: https://repo.mxnet.io/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0756 sec, LOAD: 0.3423 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0031 sec, LOAD: 0.1128 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.0049092769622802734 sec.
```
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[GitHub] [incubator-mxnet] access2rohit commented on issue #18258: Opperf fails when running for all operators (both CPU and GPU ctx)
Posted by GitBox <gi...@apache.org>.
access2rohit commented on issue #18258:
URL: https://github.com/apache/incubator-mxnet/issues/18258#issuecomment-625395133
@ChaiBapchya ^
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