I am trying to figure out how to get a monthly-based autoencoder model .
using the default “production” example on a larger set of log files, when I set DFPFileBatcherStage period=“D” i get a separate model for each day, if i change it to period=“M” I do get a monthly model but i think i am missing the advantage of the daily caching, what am i missing?
Hi Tamir, thanks for your issue. We think we’ve identified a problem in a related stage and the team has created a bug for it here:
opened 03:49PM - 07 Feb 23 UTC
bug
### Version
23.01
### Which installation method(s) does this occur on?
… Docker
### Describe the bug.
When setting `min_history` larger than incoming batch size, the expectation is that the stage will cache rows from incoming batches (for a user) until `min_history` is met. However, we are seeing that only rows from last batch are being emitted to next stage.
For example, the [Azure training example](https://github.com/nv-morpheus/Morpheus/tree/branch-23.03/examples/digital_fingerprinting/production) reads in a total of 3239 rows. If we set `min_history` to 3000, the stage should emit at least 3000 rows for preprocessing/training. Instead, it emits only the 107 rows from the last batch.
### Minimum reproducible example
Set `min_history=3000` for `DFPRollingWindowStage` in [dfp_azure_pipeline.py](https://github.com/nv-morpheus/Morpheus/blob/branch-23.03/examples/digital_fingerprinting/production/morpheus/dfp_azure_pipeline.py).
```
min_history=3000 if is_training else 1,
```
Follow [instructions](https://github.com/nv-morpheus/Morpheus/tree/branch-23.03/examples/digital_fingerprinting/production) to run Azure training example.
### Relevant log output
```shell
Rolling window complete for generic_user in 21.89 ms. Input: 107 rows from 2022-08-27 00:06:18.712616+00:00 to 2022-08-27 23:49:42.173263+00:00. Output: 107 rows from 2022-08-27 00:06:18.712616+00:00 to 2022-08-27 23:49:42.173263+00:00
Preprocessed 107 data for logs in 2022-08-27 00:06:18.712616+00:00 to 2022-08-27 23:49:42.173263+00:00 in 484.33971405029297 ms
Training AE model for user: 'generic_user'...
Training AE model for user: 'generic_user'... Complete.
ML Flow model upload complete: generic_user:DFP-azure-generic_user:1
Input data rate[Complete]: 3239 messages [00:00, 4587.13 messages/s]
Training rate[Complete]: 107 messages [00:06, 17.24 messages/s]
```
### Full env printout
<details><summary>Click here to see environment details</summary><pre>
**git***
commit 778eba23d511b75bb2b3d01ce82eca34cb18b950 (HEAD -> branch-23.03, upstream/branch-23.03)
Author: David Gardner <96306125+dagardner-nv@users.noreply.github.com>
Date: Mon Feb 6 14:47:46 2023 -0800
Table locking & column preallocation (#586)
* Builds on changes in #427
* Adds a `PreallocatorMixin` which when added to a stage performs pre-allocation. This should be added to the first stage in a pipeline which emits a DataFrame or MessageMeta in a pipeline.
* Morpheus' TypeId enum exposed to the Python API, allowing stages to define types for columns needing pre-allocation
* `MutableTableInfo` exposed to Python via a context manager to be used in `with` blocks
* `type_util` (`Dtype`) and `type_util_detail` (`DataType`) merged into a new compilation unit `dtype` fixes #490
fixes #456
Authors:
- David Gardner (https://github.com/dagardner-nv)
- Michael Demoret (https://github.com/mdemoret-nv)
Approvers:
- Michael Demoret (https://github.com/mdemoret-nv)
URL: https://github.com/nv-morpheus/Morpheus/pull/586
**git submodules***
145069979b10c90f12116f1984a124b02be664e9 external/morpheus-visualizations (v23.01.00a-3-g1450699)
6e1d4e62e8ad36a3ff45652f4d1aa03810de3751 external/utilities (v23.01.00~1^2)
***OS Information***
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=20.04
DISTRIB_CODENAME=focal
DISTRIB_DESCRIPTION="Ubuntu 20.04.5 LTS"
NAME="Ubuntu"
VERSION="20.04.5 LTS (Focal Fossa)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 20.04.5 LTS"
VERSION_ID="20.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=focal
UBUNTU_CODENAME=focal
Linux EFAJARDO-DT 5.4.0-137-generic #154~18.04.1-Ubuntu SMP Tue Jan 10 16:58:20 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
***GPU Information***
Tue Feb 7 15:46:18 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.85.12 Driver Version: 525.85.12 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Quadro RTX 8000 On | 00000000:15:00.0 Off | Off |
| 33% 35C P8 24W / 260W | 10MiB / 49152MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
***CPU***
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 46 bits physical, 48 bits virtual
CPU(s): 12
On-line CPU(s) list: 0-11
Thread(s) per core: 2
Core(s) per socket: 6
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Gold 6128 CPU @ 3.40GHz
Stepping: 4
CPU MHz: 1200.211
CPU max MHz: 3700.0000
CPU min MHz: 1200.0000
BogoMIPS: 6800.00
Virtualization: VT-x
L1d cache: 192 KiB
L1i cache: 192 KiB
L2 cache: 6 MiB
L3 cache: 19.3 MiB
NUMA node0 CPU(s): 0-11
Vulnerability Itlb multihit: KVM: Vulnerable
Vulnerability L1tf: Mitigation; PTE Inversion
Vulnerability Mds: Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Meltdown: Mitigation; PTI
Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Retbleed: Mitigation; IBRS
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Mitigation; Clear CPU buffers; SMT vulnerable
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 art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid 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 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke md_clear flush_l1d arch_capabilities
***CMake***
/opt/conda/envs/morpheus/bin/cmake
cmake version 3.24.3
CMake suite maintained and supported by Kitware (kitware.com/cmake).
***g++***
/usr/bin/g++
g++ (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Copyright (C) 2019 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
***nvcc***
/opt/conda/envs/morpheus/bin/nvcc
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Nov_18_09:45:30_PST_2021
Cuda compilation tools, release 11.5, V11.5.119
Build cuda_11.5.r11.5/compiler.30672275_0
***Python***
/opt/conda/envs/morpheus/bin/python
Python 3.8.15
***Environment Variables***
PATH : /root/.vscode-server/bin/5235c6bb189b60b01b1f49062f4ffa42384f8c91/bin/remote-cli:/opt/conda/envs/morpheus/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
LD_LIBRARY_PATH : /usr/local/nvidia/lib:/usr/local/nvidia/lib64
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX : /opt/conda/envs/morpheus
PYTHON_PATH :
***conda packages***
/opt/conda/condabin/conda
# packages in environment at /opt/conda/envs/morpheus:
#
# Name Version Build Channel
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_openmp_mutex 4.5 2_gnu conda-forge
_sysroot_linux-64_curr_repodata_hack 3 h5bd9786_13 conda-forge
aiobotocore 2.4.2 pypi_0 pypi
aiohttp 3.8.3 pypi_0 pypi
aioitertools 0.11.0 pypi_0 pypi
aiosignal 1.3.1 pypi_0 pypi
alabaster 0.7.13 pyhd8ed1ab_0 conda-forge
alembic 1.9.1 pyhd8ed1ab_0 conda-forge
anyio 3.6.2 pypi_0 pypi
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argon2-cffi 21.3.0 pypi_0 pypi
argon2-cffi-bindings 21.2.0 pypi_0 pypi
arrow 1.2.3 pypi_0 pypi
arrow-cpp 9.0.0 py38ha31b012_2_cuda conda-forge
asn1crypto 1.5.1 pyhd8ed1ab_0 conda-forge
asttokens 2.2.1 pypi_0 pypi
async-timeout 4.0.2 pypi_0 pypi
atk-1.0 2.38.0 hd4edc92_1 conda-forge
attrs 22.2.0 pyh71513ae_0 conda-forge
autoconf 2.69 pl5321hd708f79_11 conda-forge
automake 1.16.5 pl5321ha770c72_0 conda-forge
aws-c-cal 0.5.11 h95a6274_0 conda-forge
aws-c-common 0.6.2 h7f98852_0 conda-forge
aws-c-event-stream 0.2.7 h3541f99_13 conda-forge
aws-c-io 0.10.5 hfb6a706_0 conda-forge
aws-checksums 0.1.11 ha31a3da_7 conda-forge
aws-sdk-cpp 1.8.186 hecaee15_4 conda-forge
babel 2.11.0 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pypi_0 pypi
beautifulsoup4 4.11.2 pypi_0 pypi
benchmark 1.6.1 h9c3ff4c_0 conda-forge
binutils_impl_linux-64 2.36.1 h193b22a_2 conda-forge
binutils_linux-64 2.36 hf3e587d_10 conda-forge
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blinker 1.5 pyhd8ed1ab_0 conda-forge
boost-cpp 1.74.0 h6cacc03_7 conda-forge
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clang-format-14 14.0.6 default_h2e3cab8_0 conda-forge
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cuda-nvml-dev 11.5.50 h511b398_0 nvidia/label/cuda-11.5.2
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cudatoolkit 11.5.1 hcf5317a_9 nvidia
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libuuid 2.32.1 h7f98852_1000 conda-forge
libuv 1.43.0 h7f98852_0 conda-forge
libwebp 1.2.4 h522a892_0 conda-forge
libwebp-base 1.2.4 h166bdaf_0 conda-forge
libxcb 1.13 h7f98852_1004 conda-forge
libxml2 2.9.14 haae042b_4 conda-forge
libzlib 1.2.13 h166bdaf_4 conda-forge
llvm-tools 14.0.6 he0ac6c6_1 conda-forge
llvmdev 14.0.6 he0ac6c6_1 conda-forge
llvmlite 0.39.1 py38h38d86a4_1 conda-forge
locket 1.0.0 pyhd8ed1ab_0 conda-forge
lz4-c 1.9.3 h9c3ff4c_1 conda-forge
m4 1.4.18 h516909a_1001 conda-forge
mako 1.2.4 pyhd8ed1ab_0 conda-forge
markdown-it-py 2.1.0 pyhd8ed1ab_0 conda-forge
markupsafe 2.1.2 py38h1de0b5d_0 conda-forge
matplotlib 3.6.3 pypi_0 pypi
matplotlib-inline 0.1.6 pypi_0 pypi
mccabe 0.7.0 pyhd8ed1ab_0 conda-forge
mdit-py-plugins 0.3.3 pyhd8ed1ab_0 conda-forge
mdurl 0.1.0 pyhd8ed1ab_0 conda-forge
mistune 2.0.4 pypi_0 pypi
mlflow 1.30.0 py38he918c71_0 conda-forge
morpheus 23.3.0a0+10.g778eba23.dirty pypi_0 pypi
mrc 23.01.00 cuda_11.4_py38_h0593196_0 nvidia
msgpack-python 1.0.4 py38h43d8883_1 conda-forge
multidict 6.0.4 pypi_0 pypi
myst-parser 0.17.0 pyhd8ed1ab_0 conda-forge
nbclassic 0.5.1 pypi_0 pypi
nbclient 0.7.2 pypi_0 pypi
nbconvert 7.2.9 pypi_0 pypi
nbformat 5.7.3 pypi_0 pypi
ncurses 6.3 h27087fc_1 conda-forge
nest-asyncio 1.5.6 pypi_0 pypi
networkx 2.8.8 pyhd8ed1ab_0 conda-forge
ninja 1.10.2 h4bd325d_1 conda-forge
nlohmann_json 3.9.1 h9c3ff4c_1 conda-forge
nodejs 17.4.0 h8ca31f7_0 conda-forge
notebook 6.5.2 pypi_0 pypi
notebook-shim 0.2.2 pypi_0 pypi
numba 0.56.4 py38h9a4aae9_0 conda-forge
numpy 1.23.5 py38h7042d01_0 conda-forge
numpydoc 1.4.0 pyhd8ed1ab_1 conda-forge
nvcc_linux-64 11.5 h44f499b_22 conda-forge
nvidia-pyindex 1.0.9 pypi_0 pypi
nvtx 0.2.3 py38h0a891b7_2 conda-forge
oauthlib 3.2.2 pyhd8ed1ab_0 conda-forge
openssl 1.1.1s h0b41bf4_1 conda-forge
orc 1.7.6 h6c59b99_0 conda-forge
ordered-set 4.1.0 pyhd8ed1ab_0 conda-forge
packaging 21.3 pyhd8ed1ab_0 conda-forge
pandas 1.3.5 py38h43a58ef_0 conda-forge
pandocfilters 1.5.0 pypi_0 pypi
pango 1.50.7 hbd2fdc8_0 conda-forge
parquet-cpp 1.5.1 2 conda-forge
parso 0.8.3 pypi_0 pypi
partd 1.3.0 pyhd8ed1ab_0 conda-forge
pcre2 10.40 hc3806b6_0 conda-forge
perl 5.32.1 2_h7f98852_perl5 conda-forge
pexpect 4.8.0 pypi_0 pypi
pickleshare 0.7.5 pypi_0 pypi
pillow 9.4.0 pypi_0 pypi
pip 23.0 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h36c2ea0_0 conda-forge
pkg-config 0.29.2 h36c2ea0_1008 conda-forge
pkgutil-resolve-name 1.3.10 pypi_0 pypi
pluggy 1.0.0 pyhd8ed1ab_5 conda-forge
pooch 1.6.0 pyhd8ed1ab_0 conda-forge
prometheus_client 0.16.0 pyhd8ed1ab_0 conda-forge
prometheus_flask_exporter 0.21.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.36 pypi_0 pypi
protobuf 3.20.2 py38hfa26641_1 conda-forge
psutil 5.9.4 py38h0a891b7_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptxcompiler 0.7.0 py38h241159d_3 conda-forge
ptyprocess 0.7.0 pypi_0 pypi
pure-eval 0.2.2 pypi_0 pypi
py-cpuinfo 9.0.0 pyhd8ed1ab_0 conda-forge
pyarrow 9.0.0 py38hb328d0c_2_cuda conda-forge
pybind11-stubgen 0.10.5 pyhd8ed1ab_0 conda-forge
pycodestyle 2.10.0 pyhd8ed1ab_0 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pydot 1.4.2 py38h578d9bd_3 conda-forge
pyflakes 3.0.1 pyhd8ed1ab_0 conda-forge
pygments 2.14.0 pyhd8ed1ab_0 conda-forge
pyjwt 2.6.0 pyhd8ed1ab_0 conda-forge
pyopenssl 23.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyrsistent 0.19.3 py38h1de0b5d_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
pytest 7.2.1 pyhd8ed1ab_0 conda-forge
pytest-benchmark 4.0.0 pyhd8ed1ab_0 conda-forge
pytest-cov 4.0.0 pyhd8ed1ab_0 conda-forge
python 3.8.15 h257c98d_0_cpython conda-forge
python-confluent-kafka 1.7.0 py38h497a2fe_2 conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-dotenv 0.21.1 pyhd8ed1ab_0 conda-forge
python-graphviz 0.20.1 pyh22cad53_0 conda-forge
python-json-logger 2.0.4 pypi_0 pypi
python-rapidjson 1.9 pypi_0 pypi
python_abi 3.8 3_cp38 conda-forge
pytz 2022.7.1 pyhd8ed1ab_0 conda-forge
pyyaml 5.4.1 py38h0a891b7_4 conda-forge
pyzmq 25.0.0 pypi_0 pypi
querystring_parser 1.2.4 py_0 conda-forge
rapidjson 1.1.0 he1b5a44_1002 conda-forge
re2 2022.06.01 h27087fc_1 conda-forge
readline 8.1.2 h0f457ee_0 conda-forge
requests 2.28.2 pyhd8ed1ab_0 conda-forge
rfc3339-validator 0.1.4 pypi_0 pypi
rfc3986-validator 0.1.1 pypi_0 pypi
rhash 1.4.3 h166bdaf_0 conda-forge
rmm 22.10.00 cuda11_py38_g9d5a8c37_0 rapidsai
s2n 1.0.10 h9b69904_0 conda-forge
s3fs 2023.1.0 pypi_0 pypi
scikit-build 0.13.1 pyhca92ed8_0 conda-forge
scikit-learn 0.23.1 pypi_0 pypi
scipy 1.10.0 py38h10c12cc_0 conda-forge
sed 4.8 he412f7d_0 conda-forge
send2trash 1.8.0 pypi_0 pypi
setuptools 59.8.0 py38h578d9bd_1 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
smmap 3.0.5 pyh44b312d_0 conda-forge
snappy 1.1.9 hbd366e4_2 conda-forge
sniffio 1.3.0 pypi_0 pypi
snowballstemmer 2.2.0 pyhd8ed1ab_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.3.2.post1 pypi_0 pypi
spdlog 1.8.5 h4bd325d_1 conda-forge
sphinx 4.5.0 pyh6c4a22f_0 conda-forge
sphinx_rtd_theme 1.1.1 pyha770c72_1 conda-forge
sphinxcontrib-applehelp 1.0.4 pyhd8ed1ab_0 conda-forge
sphinxcontrib-devhelp 1.0.2 py_0 conda-forge
sphinxcontrib-htmlhelp 2.0.0 pyhd8ed1ab_0 conda-forge
sphinxcontrib-jsmath 1.0.1 py_0 conda-forge
sphinxcontrib-qthelp 1.0.3 py_0 conda-forge
sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_2 conda-forge
sqlalchemy 1.4.46 py38h1de0b5d_0 conda-forge
sqlparse 0.4.3 pyhd8ed1ab_0 conda-forge
stack-data 0.6.2 pypi_0 pypi
sysroot_linux-64 2.17 h4a8ded7_13 conda-forge
tabulate 0.9.0 pyhd8ed1ab_1 conda-forge
tblib 1.7.0 pyhd8ed1ab_0 conda-forge
tensorboardx 2.5 pypi_0 pypi
terminado 0.17.1 pypi_0 pypi
texttable 1.6.7 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.1.0 pypi_0 pypi
tinycss2 1.2.1 pypi_0 pypi
tk 8.6.12 h27826a3_0 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
torch 1.13.1+cu116 pypi_0 pypi
tornado 6.2 py38h0a891b7_1 conda-forge
tqdm 4.64.1 pyhd8ed1ab_0 conda-forge
traitlets 5.9.0 pypi_0 pypi
tritonclient 2.17.0 pypi_0 pypi
typing-extensions 4.4.0 hd8ed1ab_0 conda-forge
typing_extensions 4.4.0 pyha770c72_0 conda-forge
typing_utils 0.1.0 pyhd8ed1ab_0 conda-forge
ucx 1.13.1 h538f049_1 conda-forge
uri-template 1.2.0 pypi_0 pypi
urllib3 1.26.14 pyhd8ed1ab_0 conda-forge
watchdog 2.1.9 py38h578d9bd_1 conda-forge
wcwidth 0.2.6 pypi_0 pypi
webcolors 1.12 pypi_0 pypi
webencodings 0.5.1 pypi_0 pypi
websocket-client 0.57.0 py38h578d9bd_6 conda-forge
websockets 10.4 pypi_0 pypi
werkzeug 2.2.2 pyhd8ed1ab_0 conda-forge
wheel 0.38.4 pyhd8ed1ab_0 conda-forge
widgetsnbextension 4.0.5 pypi_0 pypi
wrapt 1.14.1 pypi_0 pypi
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h7f98852_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.7.2 h7f98852_0 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h7f98852_1 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h7f98852_1002 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yapf 0.32.0 pyhd8ed1ab_0 conda-forge
yarl 1.8.2 pypi_0 pypi
zict 2.2.0 pyhd8ed1ab_0 conda-forge
zipp 3.12.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h166bdaf_4 conda-forge
zope-event 4.6 pypi_0 pypi
zope-interface 5.5.2 pypi_0 pypi
zstd 1.5.2 h3eb15da_6 conda-forge
</pre></details>
### Code of Conduct
- [X] I agree to follow Morpheus' Code of Conduct
- [X] I have searched the [open bugs](https://github.com/nv-morpheus/Morpheus/issues?q=is%3Aopen+is%3Aissue+label%3Abug) and have found no duplicates for this bug report
Feel free to add your comments or observations in that issue to help us arrive at the correct solution.
Thanks,
\Pete