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[BUG]: Unable to update DEV container with cuda11_8_examples.yml #1369

Closed
2 tasks done
efajardo-nv opened this issue Nov 17, 2023 · 1 comment · Fixed by #1387
Closed
2 tasks done

[BUG]: Unable to update DEV container with cuda11_8_examples.yml #1369

efajardo-nv opened this issue Nov 17, 2023 · 1 comment · Fixed by #1387
Labels
bug Something isn't working sherlock Issues/PRs related to Sherlock workflows and components
Milestone
23.11 - Sherlock

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@efajardo-nv
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efajardo-nv commented Nov 17, 2023 •
edited
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Version

fea-sherlock

Which installation method(s) does this occur on?

Docker

Describe the bug.

Running into conda package incompatibilities when trying to update morpheus conda environment in DEV container with cuda11_8_examples.yml. Appears to be issue with langchain install.

Minimum reproducible example

  1. Build Morpheus DEV container using ./docker/build_container_dev.sh.

  2. Open shell in container using ./docker/run_container_dev.sh.

  3. Run command to install conda dependencies for examples:

mamba env update -n morpheus --file ${MORPHEUS_ROOT}/docker/conda/environments/cuda11.8_examples.yml

Relevant log output

Click here to see error details
Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies.  Conda may not use the correct pip to install your packages, and they may end up in the wrong place.  Please add an explicit pip dependency.  I'm adding one for you, but still nagging you.

nvidia/linux-64                                             Using cache

nvidia/noarch                                               Using cache

conda-forge/linux-64                                        Using cache

conda-forge/noarch                                          Using cache

rapidsai/noarch                                               No change

dglteam/label/cu118/linux-64                         2.4kB @   7.1kB/s  0.3s

dglteam/label/cu118/noarch                         130.0 B @ 357.0 B/s  0.1s

huggingface/linux-64                                 5.1kB @  13.0kB/s  0.4s

rapidsai/linux-64                                             No change

huggingface/noarch                                  13.2kB @  26.7kB/s  0.5s


Looking for: ['pip', 'arxiv=1.4', 'boto3', 'cuml=23.06', "dask[version='>=2023.1.1']", 'dgl=1.0.2', 'dill=0.3.6', "distributed[version='>=2023.1.1']", 'huggingface_hub=0.10.1', 'langchain=0.0.190', "libwebp[version='>=1.3.2']", "mlflow[version='>=2.2.1,<3']", 'newspaper3k=0.2', 'openai=0.28', 'papermill=2.3.4', 'pypdf=3.16', 'requests-cache=1.1', "s3fs[version='>=2023.6']", 'sentence-transformers', 'transformers', 'environs=9.5', 'minio=7.1', 'python-dotenv=1.0', 'ujson=5.8']


Could not solve for environment specs

The following packages are incompatible

├─ cuml 23.06**  is installable with the potential options

│  ├─ cuml 23.06.00 would require

│  │  └─ pylibraft 23.06.*  with the potential options

│  │     ├─ pylibraft [23.06.00|23.06.01|23.06.02] would require

│  │     │  └─ numpy [>=1.24.3,<2.0a0 |>=1.24.4,<2.0a0 ] with the potential options

│  │     │     ├─ numpy [1.24.3|1.24.4|...|1.26.0] would require

│  │     │     │  └─ liblapack >=3.9.0,<4.0a0  with the potential options

│  │     │     │     ├─ liblapack 3.9.0, which can be installed;

│  │     │     │     ├─ liblapack 3.9.0 would require

│  │     │     │     │  └─ blas * openblas, which can be installed;

│  │     │     │     ├─ liblapack 3.9.0 would require

│  │     │     │     │  └─ libblas [3.9.0 10_mkl|3.9.0 11_linux64_mkl], which requires

│  │     │     │     │     ├─ blas * mkl, which can be installed;

│  │     │     │     │     └─ mkl >=2021.3.0,<2022.0a0 , which can be installed;

│  │     │     │     ├─ liblapack 3.9.0 would require

│  │     │     │     │  └─ libblas 3.9.0 12_linux64_mkl, which requires

│  │     │     │     │     ├─ blas * mkl, which can be installed;

│  │     │     │     │     └─ mkl >=2021.4.0,<2022.0a0 , which can be installed;

│  │     │     │     ├─ liblapack 3.9.0 would require

│  │     │     │     │  └─ libblas [3.9.0 4_mkl|3.9.0 5_mkl|3.9.0 6_mkl|3.9.0 7_mkl|3.9.0 8_mkl], which requires

│  │     │     │     │     ├─ blas * mkl, which can be installed;

│  │     │     │     │     └─ mkl >=2020.4,<2021.0a0 , which can be installed;

│  │     │     │     ├─ liblapack 3.9.0 would require

│  │     │     │     │  └─ libblas 3.9.0 9_mkl, which requires

│  │     │     │     │     ├─ blas * mkl, which can be installed;

│  │     │     │     │     └─ mkl >=2021.2.0,<2022.0a0 , which can be installed;

│  │     │     │     └─ liblapack 3.9.0 would require

│  │     │     │        └─ libblas 3.9.0 19_linux64_mkl, which requires

│  │     │     │           └─ mkl >=2023.2.0,<2024.0a0 , which can be installed;

│  │     │     ├─ numpy [1.24.3|1.24.4|...|1.26.0] would require

│  │     │     │  └─ python >=3.11,<3.12.0a0 , which can be installed;

│  │     │     ├─ numpy [1.24.3|1.24.4] would require

│  │     │     │  └─ python >=3.8,<3.9.0a0 , which can be installed;

│  │     │     ├─ numpy [1.24.3|1.24.4|...|1.26.0] would require

│  │     │     │  └─ python >=3.9,<3.10.0a0 , which can be installed;

│  │     │     └─ numpy 1.26.0 would require

│  │     │        └─ python >=3.12.0rc3,<3.13.0a0  with the potential options

│  │     │           ├─ python 3.12.0, which can be installed;

│  │     │           └─ python 3.12.0rc3 would require

│  │     │              └─ _python_rc  , which does not exist (perhaps a missing channel);

│  │     └─ pylibraft [23.06.00|23.06.01|23.06.02] would require

│  │        └─ python >=3.9,<3.10.0a0 , which can be installed;

│  └─ cuml 23.06.00 would require

│     └─ python >=3.9,<3.10.0a0 , which can be installed;

└─ langchain 0.0.190**  is installable and it requires

└─ numexpr >=2.8.4,<3.0.0  with the potential options

├─ numexpr [2.8.4|2.8.7] would require

│  ├─ libblas * mkl with the potential options

│  │  ├─ libblas [3.8.0|3.9.0] would require

│  │  │  └─ blas * mkl, which can be installed;

│  │  ├─ libblas 3.8.0 would require

│  │  │  ├─ blas * mkl, which can be installed;

│  │  │  └─ liblapack 3.8.0 14_mkl, which conflicts with any installable versions previously reported;

│  │  ├─ libblas 3.8.0 would require

│  │  │  ├─ blas * mkl, which can be installed;

│  │  │  └─ liblapack 3.8.0 15_mkl, which conflicts with any installable versions previously reported;

│  │  ├─ libblas 3.8.0 would require

│  │  │  ├─ blas * mkl, which can be installed;

│  │  │  └─ liblapack 3.8.0 16_mkl, which conflicts with any installable versions previously reported;

│  │  ├─ libblas 3.8.0 would require

│  │  │  ├─ blas * mkl, which can be installed;

│  │  │  └─ liblapack 3.8.0 18_mkl, which conflicts with any installable versions previously reported;

│  │  ├─ libblas 3.8.0 would require

│  │  │  ├─ blas * mkl, which can be installed;

│  │  │  └─ liblapack 3.8.0 19_mkl, which conflicts with any installable versions previously reported;

│  │  ├─ libblas 3.8.0 would require

│  │  │  ├─ blas * mkl, which can be installed;

│  │  │  └─ liblapack 3.8.0 20_mkl, which conflicts with any installable versions previously reported;

│  │  ├─ libblas 3.8.0 would require

│  │  │  ├─ blas * mkl, which can be installed;

│  │  │  └─ liblapack 3.8.0 21_mkl, which conflicts with any installable versions previously reported;

│  │  ├─ libblas 3.8.0 would require

│  │  │  └─ mkl 2019.1. , which does not exist (perhaps a missing channel);

│  │  ├─ libblas 3.8.0 would require

│  │  │  ├─ blas * mkl, which can be installed;

│  │  │  └─ liblapack 3.8.0 5_mkl, which conflicts with any installable versions previously reported;

│  │  ├─ libblas 3.9.0, which can be installed (as previously explained);

│  │  ├─ libblas 3.9.0, which can be installed (as previously explained);

│  │  ├─ libblas 3.9.0, which can be installed (as previously explained);

│  │  ├─ libblas 3.9.0, which can be installed (as previously explained);

│  │  └─ libblas 3.9.0, which can be installed (as previously explained);

│  └─ mkl >=2022.2.1,<2023.0a0 , which conflicts with any installable versions previously reported;

├─ numexpr [2.8.4|2.8.7] would require

│  └─ python >=3.11,<3.12.0a0 , which can be installed;

├─ numexpr 2.8.4 would require

│  └─ python >=3.8,<3.9.0a0 , which can be installed;

├─ numexpr [2.8.4|2.8.7] would require

│  └─ python >=3.9,<3.10.0a0 , which can be installed;

├─ numexpr [2.8.4|2.8.7] would require

│  └─ nomkl  , which requires

│     └─ mkl <0.a0 , which conflicts with any installable versions previously reported;

├─ numexpr 2.8.7 would require

│  └─ python >=3.12,<3.13.0a0 , which can be installed;

└─ numexpr 2.8.7 would require

└─ python >=3.12.0rc3,<3.13.0a0  with the potential options

├─ python 3.12.0, which can be installed;

└─ python 3.12.0rc3, which cannot be installed (as previously explained).

Full env printout

Click here to see environment details
 **git***
 commit 9ec6d7efc639b1630b11c4e066b26af31b5f516f (HEAD -> fea-sherlock, origin/fea-sherlock)
 Author: Bhargav Suryadevara <[email protected]>
 Date:   Wed Nov 15 14:48:56 2023 -0600

 Agents Simple Pipeline E2E Test (#1363)

 Added agents simple pipeline test

 ## By Submitting this PR I confirm:
 - I am familiar with the [Contributing Guidelines](https://github.com/nv-morpheus/Morpheus/blob/main/docs/source/developer_guide/contributing.md).
 - When the PR is ready for review, new or existing tests cover these changes.
 - When the PR is ready for review, the documentation is up to date with these changes.

 Authors:
 - Bhargav Suryadevara (https://github.com/bsuryadevara)

 Approvers:
 - Devin Robison (https://github.com/drobison00)

 URL: https://github.com/nv-morpheus/Morpheus/pull/1363
 **git submodules***
 bc1aa508b5540fbbf2af50bafe1a49c0d9750fe1 external/morpheus-visualizations (v23.11.00a-5-gbc1aa50)
 486ff32e77f504624545c82dfb9e39d65e79b572 external/utilities (v23.11.00a-9-g486ff32)

 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=22.04
 DISTRIB_CODENAME=jammy
 DISTRIB_DESCRIPTION="Ubuntu 22.04.3 LTS"
 PRETTY_NAME="Ubuntu 22.04.3 LTS"
 NAME="Ubuntu"
 VERSION_ID="22.04"
 VERSION="22.04.3 LTS (Jammy Jellyfish)"
 VERSION_CODENAME=jammy
 ID=ubuntu
 ID_LIKE=debian
 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"
 UBUNTU_CODENAME=jammy
 Linux dgx04 5.4.0-148-generic #165-Ubuntu SMP Tue Apr 18 08:53:12 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux

 ***GPU Information***
 Fri Nov 17 16:16:09 2023
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 525.105.17   Driver Version: 525.105.17   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  Tesla V100-SXM2...  On   | 00000000:06:00.0 Off |                    0 |
 | N/A   31C    P0    57W / 300W |   7489MiB / 32768MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   1  Tesla V100-SXM2...  On   | 00000000:07:00.0 Off |                    0 |
 | N/A   31C    P0    43W / 300W |      3MiB / 32768MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   2  Tesla V100-SXM2...  On   | 00000000:0A:00.0 Off |                    0 |
 | N/A   30C    P0    42W / 300W |      3MiB / 32768MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   3  Tesla V100-SXM2...  On   | 00000000:0B:00.0 Off |                    0 |
 | N/A   28C    P0    42W / 300W |      3MiB / 32768MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   4  Tesla V100-SXM2...  On   | 00000000:85:00.0 Off |                    0 |
 | N/A   29C    P0    44W / 300W |      3MiB / 32768MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   5  Tesla V100-SXM2...  On   | 00000000:86:00.0 Off |                    0 |
 | N/A   31C    P0    42W / 300W |      3MiB / 32768MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   6  Tesla V100-SXM2...  On   | 00000000:89:00.0 Off |                    0 |
 | N/A   31C    P0    43W / 300W |      3MiB / 32768MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   7  Tesla V100-SXM2...  On   | 00000000:8A:00.0 Off |                    0 |
 | N/A   30C    P0    42W / 300W |      3MiB / 32768MiB |      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
 Address sizes:                   46 bits physical, 48 bits virtual
 Byte Order:                      Little Endian
 CPU(s):                          80
 On-line CPU(s) list:             0-79
 Vendor ID:                       GenuineIntel
 Model name:                      Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz
 CPU family:                      6
 Model:                           79
 Thread(s) per core:              2
 Core(s) per socket:              20
 Socket(s):                       2
 Stepping:                        1
 CPU max MHz:                     3600.0000
 CPU min MHz:                     1200.0000
 BogoMIPS:                        4389.97
 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 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 ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d
 Virtualization:                  VT-x
 L1d cache:                       1.3 MiB (40 instances)
 L1i cache:                       1.3 MiB (40 instances)
 L2 cache:                        10 MiB (40 instances)
 L3 cache:                        100 MiB (2 instances)
 NUMA node(s):                    2
 NUMA node0 CPU(s):               0-19,40-59
 NUMA node1 CPU(s):               20-39,60-79
 Vulnerability Itlb multihit:     KVM: Mitigation: Split huge pages
 Vulnerability L1tf:              Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
 Vulnerability Mds:               Mitigation; Clear CPU buffers; SMT vulnerable
 Vulnerability Meltdown:          Mitigation; PTI
 Vulnerability Mmio stale data:   Mitigation; Clear CPU buffers; SMT vulnerable
 Vulnerability Retbleed:          Not affected
 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; Retpolines, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling, PBRSB-eIBRS Not affected
 Vulnerability Srbds:             Not affected
 Vulnerability Tsx async abort:   Mitigation; Clear CPU buffers; SMT vulnerable

 ***CMake***
 /opt/conda/envs/morpheus/bin/cmake
 cmake version 3.24.3

 CMake suite maintained and supported by Kitware (kitware.com/cmake).

 ***g++***
 /opt/conda/envs/morpheus/bin/g++
 g++ (conda-forge gcc 11.2.0-16) 11.2.0
 Copyright (C) 2021 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) 2005-2022 NVIDIA Corporation
 Built on Wed_Sep_21_10:33:58_PDT_2022
 Cuda compilation tools, release 11.8, V11.8.89
 Build cuda_11.8.r11.8/compiler.31833905_0

 ***Python***
 /opt/conda/envs/morpheus/bin/python
 Python 3.10.13

 ***Environment Variables***
 PATH                            : /opt/conda/envs/morpheus/bin:/opt/conda/condabin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/conda/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
 _libgcc_mutex             0.1                 conda_forge    conda-forge
 _openmp_mutex             4.5                  2_kmp_llvm    conda-forge
 _sysroot_linux-64_curr_repodata_hack 3                   h69a702a_13    conda-forge
 absl-py                   1.4.0              pyhd8ed1ab_0    conda-forge
 alabaster                 0.7.13             pyhd8ed1ab_0    conda-forge
 alembic                   1.12.1             pyhd8ed1ab_0    conda-forge
 anyio                     4.0.0              pyhd8ed1ab_0    conda-forge
 appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
 argon2-cffi               23.1.0             pyhd8ed1ab_0    conda-forge
 argon2-cffi-bindings      21.2.0          py310h2372a71_4    conda-forge
 arrow                     1.3.0              pyhd8ed1ab_0    conda-forge
 arrow-cpp                 11.0.0          ha770c72_19_cuda    conda-forge
 asn1crypto                1.5.1              pyhd8ed1ab_0    conda-forge
 astroid                   2.15.8          py310hff52083_0    conda-forge
 asttokens                 2.4.1              pyhd8ed1ab_0    conda-forge
 async-lru                 2.0.4              pyhd8ed1ab_0    conda-forge
 atk-1.0                   2.38.0               hd4edc92_1    conda-forge
 attrs                     23.1.0             pyh71513ae_1    conda-forge
 autoconf                  2.71            pl5321h2b4cb7a_1    conda-forge
 automake                  1.16.5          pl5321ha770c72_0    conda-forge
 aws-c-auth                0.6.26               h2c7c9e7_6    conda-forge
 aws-c-cal                 0.5.26               h71eb795_0    conda-forge
 aws-c-common              0.8.17               hd590300_0    conda-forge
 aws-c-compression         0.2.16               h4f47f36_6    conda-forge
 aws-c-event-stream        0.2.20               h69ce273_6    conda-forge
 aws-c-http                0.7.7                h7b8353a_3    conda-forge
 aws-c-io                  0.13.21              h2c99d58_4    conda-forge
 aws-c-mqtt                0.8.6               h3a1964a_15    conda-forge
 aws-c-s3                  0.2.8                h0933b68_4    conda-forge
 aws-c-sdkutils            0.1.9                h4f47f36_1    conda-forge
 aws-checksums             0.1.14               h4f47f36_6    conda-forge
 aws-crt-cpp               0.19.9               h85076f6_5    conda-forge
 aws-sdk-cpp               1.10.57             hf40e4db_10    conda-forge
 babel                     2.13.1             pyhd8ed1ab_0    conda-forge
 backports                 1.0                pyhd8ed1ab_3    conda-forge
 backports.functools_lru_cache 1.6.5              pyhd8ed1ab_0    conda-forge
 beautifulsoup4            4.12.2             pyha770c72_0    conda-forge
 benchmark                 1.6.1                h9c3ff4c_0    conda-forge
 betterproto               1.2.5              pyhd3deb0d_1    conda-forge
 binutils                  2.36.1               hdd6e379_2    conda-forge
 binutils_impl_linux-64    2.36.1               h193b22a_2    conda-forge
 binutils_linux-64         2.36                hf3e587d_10    conda-forge
 blas                      2.119                       mkl    conda-forge
 blas-devel                3.9.0            19_linux64_mkl    conda-forge
 bleach                    6.1.0              pyhd8ed1ab_0    conda-forge
 blinker                   1.7.0              pyhd8ed1ab_0    conda-forge
 bokeh                     2.4.3              pyhd8ed1ab_3    conda-forge
 boost-cpp                 1.82.0               h44aadfe_6    conda-forge
 brotli                    1.0.9                h166bdaf_9    conda-forge
 brotli-bin                1.0.9                h166bdaf_9    conda-forge
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 cuda-compiler             11.8.0                        0    nvidia/label/cuda-11.8.0
 cuda-cudart               11.8.89                       0    nvidia/label/cuda-11.8.0
 cuda-cudart-dev           11.8.89                       0    nvidia/label/cuda-11.8.0
 cuda-cuobjdump            11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-cupti                11.8.87                       0    nvidia/label/cuda-11.8.0
 cuda-cuxxfilt             11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-documentation        11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-driver-dev           11.8.89                       0    nvidia/label/cuda-11.8.0
 cuda-gdb                  11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-libraries            11.8.0                        0    nvidia/label/cuda-11.8.0
 cuda-libraries-dev        11.8.0                        0    nvidia/label/cuda-11.8.0
 cuda-memcheck             11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-nsight               11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-nsight-compute       11.8.0                        0    nvidia/label/cuda-11.8.0
 cuda-nvcc                 11.8.89                       0    nvidia/label/cuda-11.8.0
 cuda-nvdisasm             11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-nvml-dev             11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-nvprof               11.8.87                       0    nvidia/label/cuda-11.8.0
 cuda-nvprune              11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-nvrtc                11.8.89                       0    nvidia/label/cuda-11.8.0
 cuda-nvrtc-dev            11.8.89                       0    nvidia/label/cuda-11.8.0
 cuda-nvtx                 11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-nvvp                 11.8.87                       0    nvidia/label/cuda-11.8.0
 cuda-profiler-api         11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-python               11.8.2          py310h3fd9d12_0    nvidia
 cuda-runtime              11.8.0                        0    nvidia/label/cuda-11.8.0
 cuda-sanitizer-api        11.8.86                       0    nvidia/label/cuda-11.8.0
 cuda-toolkit              11.8.0                        0    nvidia/label/cuda-11.8.0
 cuda-tools                11.8.0                        0    nvidia/label/cuda-11.8.0
 cuda-version              11.8                 h70ddcb2_2    conda-forge
 cuda-visual-tools         11.8.0                        0    nvidia/label/cuda-11.8.0
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 cudf                      23.06.01        cuda11_py310_230629_g6a548b072d_0    rapidsai
 cupy                      12.2.0          py310hf4db66c_4    conda-forge
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 dask-cuda                 23.06.00        py310_230607_gfd3ab2d_0    rapidsai
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 gxx_impl_linux-64         11.2.0              h82a94d6_16    conda-forge
 gxx_linux-64              11.2.0              hacbe6df_10    conda-forge
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 jsonschema-specifications 2023.11.1          pyhd8ed1ab_0    conda-forge
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 libcublas                 11.11.3.6                     0    nvidia/label/cuda-11.8.0
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 libdeflate                1.19                 hd590300_0    conda-forge
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 libgcc-devel_linux-64     11.2.0              h0952999_16    conda-forge
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 libllvm14                 14.0.6               hcd5def8_4    conda-forge
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 libmrc                    23.11.00a       cuda_11.8_h37b3fe5_22    nvidia/label/dev
 libnghttp2                1.58.0               h47da74e_0    conda-forge
 libnpp                    11.8.0.86                     0    nvidia/label/cuda-11.8.0
 libnpp-dev                11.8.0.86                     0    nvidia/label/cuda-11.8.0
 libnsl                    2.0.1                hd590300_0    conda-forge
 libntlm                   1.4               h7f98852_1002    conda-forge
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 libpng                    1.6.39               h753d276_0    conda-forge
 libprotobuf               3.21.12              hfc55251_2    conda-forge
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 librsvg                   2.56.3               h98fae49_0    conda-forge
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 libstdcxx-devel_linux-64  11.2.0              h0952999_16    conda-forge
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 llvm-openmp               17.0.5               h4dfa4b3_0    conda-forge
 llvm-tools                16.0.6               h5cf9203_2    conda-forge
 llvmdev                   16.0.6               h5cf9203_2    conda-forge
 llvmlite                  0.41.1          py310h1b8f574_0    conda-forge
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 merlin-dataloader         23.06.00                   py_0    nvidia
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 mistune                   3.0.2              pyhd8ed1ab_0    conda-forge
 mkl                       2023.2.0         h84fe81f_50496    conda-forge
 mkl-devel                 2023.2.0         ha770c72_50496    conda-forge
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 mrc                       23.11.00a       cuda_11.8_py310_haa4942d_22    nvidia/label/dev
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 nbformat                  5.9.2              pyhd8ed1ab_0    conda-forge
 ncurses                   6.4                  h59595ed_2    conda-forge
 nest-asyncio              1.5.8              pyhd8ed1ab_0    conda-forge
 networkx                  3.2                pyhd8ed1ab_0    conda-forge
 ninja                     1.10.2               h4bd325d_1    conda-forge
 nlohmann_json             3.9.1                h9c3ff4c_1    conda-forge
 nodejs                    18.17.1              h1990674_1    conda-forge
 notebook-shim             0.2.3              pyhd8ed1ab_0    conda-forge
 npy-append-array          0.9.16             pyhd8ed1ab_0    conda-forge
 nsight-compute            2022.3.0.22                   0    nvidia/label/cuda-11.8.0
 numba                     0.58.1          py310h7dc5dd1_0    conda-forge
 numpy                     1.26.0          py310hb13e2d6_0    conda-forge
 numpydoc                  1.4.0              pyhd8ed1ab_1    conda-forge
 nvtabular                 23.06.00                py310_0    nvidia
 nvtx                      0.2.8           py310h2372a71_1    conda-forge
 oauthlib                  3.2.2              pyhd8ed1ab_0    conda-forge
 openjpeg                  2.5.0                h488ebb8_3    conda-forge
 openssl                   3.1.4                hd590300_0    conda-forge
 orc                       1.8.3                h2f23424_1    conda-forge
 ordered-set               4.1.0              pyhd8ed1ab_0    conda-forge
 overrides                 7.4.0              pyhd8ed1ab_0    conda-forge
 packaging                 23.2               pyhd8ed1ab_0    conda-forge
 pandas                    1.3.5           py310hb5077e9_0    conda-forge
 pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge
 pango                     1.50.14              ha41ecd1_2    conda-forge
 parquet-cpp               1.5.1                         2    conda-forge
 parso                     0.8.3              pyhd8ed1ab_0    conda-forge
 partd                     1.4.1              pyhd8ed1ab_0    conda-forge
 pcre2                     10.40                hc3806b6_0    conda-forge
 perl                      5.32.1          4_hd590300_perl5    conda-forge
 pexpect                   4.8.0              pyh1a96a4e_2    conda-forge
 pickleshare               0.7.5                   py_1003    conda-forge
 pillow                    10.1.0          py310h01dd4db_0    conda-forge
 pip                       23.3.1             pyhd8ed1ab_0    conda-forge
 pixman                    0.42.2               h59595ed_0    conda-forge
 pkg-config                0.29.2            h36c2ea0_1008    conda-forge
 pkgutil-resolve-name      1.3.10             pyhd8ed1ab_1    conda-forge
 platformdirs              4.0.0              pyhd8ed1ab_0    conda-forge
 pluggy                    1.0.0              pyhd8ed1ab_5    conda-forge
 port-for                  0.7.2              pyhd8ed1ab_0    conda-forge
 prometheus_client         0.18.0             pyhd8ed1ab_1    conda-forge
 prometheus_flask_exporter 0.23.0             pyhd8ed1ab_0    conda-forge
 prompt-toolkit            3.0.41             pyha770c72_0    conda-forge
 prompt_toolkit            3.0.41               hd8ed1ab_0    conda-forge
 protobuf                  4.21.12         py310heca2aa9_0    conda-forge
 psutil                    5.9.5           py310h2372a71_1    conda-forge
 pthread-stubs             0.4               h36c2ea0_1001    conda-forge
 ptxcompiler               0.8.1           py310h70a93da_2    conda-forge
 ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
 pure_eval                 0.2.2              pyhd8ed1ab_0    conda-forge
 py-cpuinfo                9.0.0              pyhd8ed1ab_0    conda-forge
 py4j                      0.10.9.7           pyhd8ed1ab_0    conda-forge
 pyarrow                   11.0.0          py310hc81d9b2_19_cuda    conda-forge
 pybind11-stubgen          0.10.5             pyhd8ed1ab_0    conda-forge
 pycodestyle               2.11.1             pyhd8ed1ab_0    conda-forge
 pycparser                 2.21               pyhd8ed1ab_0    conda-forge
 pycryptodome              3.19.0                   pypi_0    pypi
 pydot                     1.4.2           py310hff52083_4    conda-forge
 pyflakes                  3.1.0              pyhd8ed1ab_0    conda-forge
 pygments                  2.16.1             pyhd8ed1ab_0    conda-forge
 pyjwt                     2.8.0              pyhd8ed1ab_0    conda-forge
 pylint                    2.17.7             pyhd8ed1ab_0    conda-forge
 pymilvus                  2.3.2                    pypi_0    pypi
 pynvml                    11.4.1             pyhd8ed1ab_0    conda-forge
 pyopenssl                 23.3.0             pyhd8ed1ab_0    conda-forge
 pyparsing                 3.1.1              pyhd8ed1ab_0    conda-forge
 pysocks                   1.7.1              pyha2e5f31_6    conda-forge
 pytest                    7.4.3              pyhd8ed1ab_0    conda-forge
 pytest-asyncio            0.22.0             pyhd8ed1ab_0    conda-forge
 pytest-benchmark          4.0.0              pyhd8ed1ab_0    conda-forge
 pytest-cov                4.1.0              pyhd8ed1ab_0    conda-forge
 pytest-kafka              0.6.0                    pypi_0    pypi
 python                    3.10.13         hd12c33a_0_cpython    conda-forge
 python-confluent-kafka    1.9.2           py310h5764c6d_2    conda-forge
 python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge
 python-dotenv             1.0.0                    pypi_0    pypi
 python-fastjsonschema     2.19.0             pyhd8ed1ab_0    conda-forge
 python-graphviz           0.20.1             pyh22cad53_0    conda-forge
 python-json-logger        2.0.7              pyhd8ed1ab_0    conda-forge
 python-rapidjson          1.13            py310hc6cd4ac_0    conda-forge
 python_abi                3.10                    4_cp310    conda-forge
 pytorch                   2.0.1           py3.10_cuda11.8_cudnn8.7.0_0    pytorch
 pytorch-cuda              11.8                 h7e8668a_5    pytorch
 pytorch-mutex             1.0                        cuda    pytorch
 pytz                      2023.3.post1       pyhd8ed1ab_0    conda-forge
 pywin32-on-windows        0.1.0              pyh1179c8e_3    conda-forge
 pyyaml                    6.0.1           py310h2372a71_1    conda-forge
 pyzmq                     25.1.1          py310h795f18f_2    conda-forge
 querystring_parser        1.2.4                      py_0    conda-forge
 rapidjson                 1.1.0             he1b5a44_1002    conda-forge
 rdma-core                 28.9                 h59595ed_1    conda-forge
 re2                       2023.02.02           hcb278e6_0    conda-forge
 readline                  8.2                  h8228510_1    conda-forge
 referencing               0.31.0             pyhd8ed1ab_0    conda-forge
 requests                  2.31.0             pyhd8ed1ab_0    conda-forge
 requests-cache            1.1.0              pyhd8ed1ab_0    conda-forge
 rfc3339-validator         0.1.4              pyhd8ed1ab_0    conda-forge
 rfc3986-validator         0.1.1              pyh9f0ad1d_0    conda-forge
 rhash                     1.4.3                hd590300_2    conda-forge
 rmm                       23.06.00        cuda11_py310_230607_gacaf3f5e_0    rapidsai
 rpds-py                   0.13.0          py310hcb5633a_0    conda-forge
 s2n                       1.3.44               h06160fa_0    conda-forge
 scikit-build              0.17.1             pyh56297ac_0    conda-forge
 scikit-learn              1.2.2           py310hf7d194e_2    conda-forge
 scipy                     1.11.3          py310hb13e2d6_1    conda-forge
 send2trash                1.8.2              pyh41d4057_0    conda-forge
 setuptools                59.8.0          py310hff52083_1    conda-forge
 sgmllib3k                 1.0.0              pyh9f0ad1d_0    conda-forge
 six                       1.16.0             pyh6c4a22f_0    conda-forge
 smmap                     5.0.0              pyhd8ed1ab_0    conda-forge
 snappy                    1.1.10               h9fff704_0    conda-forge
 sniffio                   1.3.0              pyhd8ed1ab_0    conda-forge
 snowballstemmer           2.2.0              pyhd8ed1ab_0    conda-forge
 sortedcontainers          2.4.0              pyhd8ed1ab_0    conda-forge
 soupsieve                 2.5                pyhd8ed1ab_1    conda-forge
 spdlog                    1.11.0               h9b3ece8_1    conda-forge
 sphinx                    5.3.0              pyhd8ed1ab_0    conda-forge
 sphinx_rtd_theme          0.5.2              pyhd8ed1ab_0    conda-forge
 sphinxcontrib-applehelp   1.0.7              pyhd8ed1ab_0    conda-forge
 sphinxcontrib-devhelp     1.0.5              pyhd8ed1ab_0    conda-forge
 sphinxcontrib-htmlhelp    2.0.4              pyhd8ed1ab_0    conda-forge
 sphinxcontrib-jsmath      1.0.1              pyhd8ed1ab_0    conda-forge
 sphinxcontrib-qthelp      1.0.6              pyhd8ed1ab_0    conda-forge
 sphinxcontrib-serializinghtml 1.1.9              pyhd8ed1ab_0    conda-forge
 sqlalchemy                1.4.49          py310h2372a71_1    conda-forge
 sqlparse                  0.4.4              pyhd8ed1ab_0    conda-forge
 stack_data                0.6.2              pyhd8ed1ab_0    conda-forge
 stringcase                1.2.0                      py_0    conda-forge
 sympy                     1.12            pypyh9d50eac_103    conda-forge
 sysroot_linux-64          2.17                h4a8ded7_13    conda-forge
 tabulate                  0.9.0              pyhd8ed1ab_1    conda-forge
 tbb                       2021.10.0            h00ab1b0_0    conda-forge
 tblib                     2.0.0              pyhd8ed1ab_0    conda-forge
 tensorflow-metadata       1.13.1             pyhd8ed1ab_0    conda-forge
 terminado                 0.18.0             pyh0d859eb_0    conda-forge
 threadpoolctl             3.2.0              pyha21a80b_0    conda-forge
 tinycss2                  1.2.1              pyhd8ed1ab_0    conda-forge
 tk                        8.6.13          noxft_h4845f30_101    conda-forge
 toml                      0.10.2             pyhd8ed1ab_0    conda-forge
 tomli                     2.0.1              pyhd8ed1ab_0    conda-forge
 tomlkit                   0.12.3             pyha770c72_0    conda-forge
 toolz                     0.12.0             pyhd8ed1ab_0    conda-forge
 torchtriton               2.0.0                     py310    pytorch
 tornado                   6.3.3           py310h2372a71_1    conda-forge
 tqdm                      4.66.1             pyhd8ed1ab_0    conda-forge
 traitlets                 5.13.0             pyhd8ed1ab_0    conda-forge
 tritonclient              2.26.0             pyhca7485f_1    conda-forge
 types-python-dateutil     2.8.19.14          pyhd8ed1ab_0    conda-forge
 typing-extensions         4.8.0                hd8ed1ab_0    conda-forge
 typing_extensions         4.8.0              pyha770c72_0    conda-forge
 typing_utils              0.1.0              pyhd8ed1ab_0    conda-forge
 tzdata                    2023c                h71feb2d_0    conda-forge
 ucx                       1.14.1               h64cca9d_5    conda-forge
 ujson                     5.8.0           py310hc6cd4ac_0    conda-forge
 unicodedata2              15.1.0          py310h2372a71_0    conda-forge
 uri-template              1.3.0              pyhd8ed1ab_0    conda-forge
 url-normalize             1.4.3              pyhd8ed1ab_0    conda-forge
 urllib3                   2.1.0              pyhd8ed1ab_0    conda-forge
 watchdog                  2.1.9           py310hff52083_1    conda-forge
 wcwidth                   0.2.10             pyhd8ed1ab_0    conda-forge
 webcolors                 1.13               pyhd8ed1ab_0    conda-forge
 webencodings              0.5.1              pyhd8ed1ab_2    conda-forge
 websocket-client          1.6.4              pyhd8ed1ab_0    conda-forge
 websockets                12.0            py310h2372a71_0    conda-forge
 werkzeug                  3.0.1              pyhd8ed1ab_0    conda-forge
 wheel                     0.41.3             pyhd8ed1ab_0    conda-forge
 widgetsnbextension        4.0.9              pyhd8ed1ab_0    conda-forge
 wrapt                     1.16.0          py310h2372a71_0    conda-forge
 xorg-kbproto              1.0.7             h7f98852_1002    conda-forge
 xorg-libice               1.1.1                hd590300_0    conda-forge
 xorg-libsm                1.2.4                h7391055_0    conda-forge
 xorg-libx11               1.8.7                h8ee46fc_0    conda-forge
 xorg-libxau               1.0.11               hd590300_0    conda-forge
 xorg-libxdmcp             1.1.3                h7f98852_0    conda-forge
 xorg-libxext              1.3.4                h0b41bf4_2    conda-forge
 xorg-libxrender           0.9.11               hd590300_0    conda-forge
 xorg-renderproto          0.11.1            h7f98852_1002    conda-forge
 xorg-xextproto            7.3.0             h0b41bf4_1003    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                      0.40.1             pyhd8ed1ab_0    conda-forge
 zeromq                    4.3.5                h59595ed_0    conda-forge
 zict                      3.0.0              pyhd8ed1ab_0    conda-forge
 zipp                      3.17.0             pyhd8ed1ab_0    conda-forge
 zlib                      1.2.13               hd590300_5    conda-forge
 zstd                      1.5.5                hfc55251_0    conda-forge

Other/Misc.

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  • I agree to follow Morpheus' Code of Conduct
  • I have searched the open bugs and have found no duplicates for this bug report
@efajardo-nv efajardo-nv added bug Something isn't working sherlock Issues/PRs related to Sherlock workflows and components labels Nov 17, 2023
@efajardo-nv efajardo-nv added this to the 23.11 - Sherlock milestone Nov 17, 2023
@efajardo-nv efajardo-nv mentioned this issue Nov 17, 2023
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efajardo-nv commented Nov 17, 2023 •
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Appears to be issue with mamba solver when using mamba env update to add the dependencies to an existing morpheus conda environment. If I create a combined yaml that includes both the dev and examples dependencies, I'm able to use it to build a dev container that has all the correct dependencies (dev + examples) pre-installed.

@drobison00 drobison00 mentioned this issue Nov 27, 2023
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@jarmak-nv jarmak-nv moved this from Todo to Review - Ready for Review in Morpheus Boards Nov 27, 2023
rapids-bot bot pushed a commit that referenced this issue Nov 29, 2023
@drobison00
Docs update to indicate use of conda-merge to generate install files (#…
f6537a2 
…1387)

Resolves #1369

Authors:
  - Devin Robison (https://github.com/drobison00)

Approvers:
  - Eli Fajardo (https://github.com/efajardo-nv)
  - Michael Demoret (https://github.com/mdemoret-nv)

URL: #1387
@github-project-automation github-project-automation bot moved this from Review - Ready for Review to Done in Morpheus Boards Nov 29, 2023
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bug Something isn't working sherlock Issues/PRs related to Sherlock workflows and components
Projects
Morpheus Boards
Status: Done
Milestone
23.11 - Sherlock
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@efajardo-nv