[BUG] RuntimeError: radix_sort: failed on 2nd step: cudaErrorInvalidValue: invalid argument

robomike commented 3 years ago

Hi all,

I am using the latest version of the rapids.ai docker. 21.06 and in Juptyer notebook this code works with no issue:

from cuml.common.sparsefuncs import csr_row_normalize_l2

def efficient_csr_cosine_similarity(query, tfidf_matrix, matrix_normalized=False):
    query = csr_row_normalize_l2(query, inplace=False)
    if not matrix_normalized:
        tfidf_matrix = csr_row_normalize_l2(tfidf_matrix, inplace=False)

    return tfidf_matrix.dot(query.T)

def document_search(text_df, query, vectorizer, tfidf_matrix, top_n=3):
    query_vec = vectorizer.transform(Series([query]))
    similarities = efficient_csr_cosine_similarity(query_vec, tfidf_matrix, matrix_normalized=True)
    similarities = similarities.todense().reshape(-1)
    best_idx = similarities.argsort()[-top_n:][::-1]

    pp = cudf.DataFrame({
        'text': text_df['workout'].iloc[best_idx],
        'similarity': similarities[best_idx]
    })
    return pp

document_search(wod_df, 'time', vec, tfidf_matrix)

But when I run it with straight python on the same docker for a dash application, I get this runtime error:

Traceback (most recent call last): File "/home/robomike/code/coolstuff_gpu/Merlin/cool/app/work/app.py", line 118, in displayStuff main_df = document_search(cool_df, 'for time', vec, tfidf_matrix) File "/home/robomike/code/coolstuff_gpu/Merlin/cool/app/work/app.py", line 43, in document_search best_idx = similarities.argsort()[-top_n:][::-1] File "cupy/_core/core.pyx", line 715, in cupy._core.core.ndarray.argsort

File "cupy/_core/core.pyx", line 732, in cupy._core.core.ndarray.argsort

File "cupy/_core/_routines_sorting.pyx", line 86, in cupy._core._routines_sorting._ndarray_argsort

File "cupy/cuda/thrust.pyx", line 117, in cupy.cuda.thrust.argsort

RuntimeError: radix_sort: failed on 2nd step: cudaErrorInvalidValue: invalid argument Attached is the py file that causes the error.app2.py (1.4 KB)

I really don’t understand what is going wrong here. Can someone please help me?

Update: This problem also persists on rapidsai/rapidsai-nightly:21.08-cuda11.0-runtime-ubuntu20.04-py3.7

Update 2: I've tried this by removing a GPU, the issue still persists. I have GTX Titan and GTX 1080.

Steps/Code to reproduce bug call function document_search in python

Expected behavior should work with no problems.

Environment details (please complete the following information): docker: rapidsai/rapidsai-nightly:21.08-cuda11.0-runtime-ubuntu20.04-py3.7 docker: rapidsai/rapidsai 21.06 stable

Additional context Original code written by Nvidia link is here

taureandyernv commented 3 years ago

Solved on Slack. OP needs to put the main block of their code inside of a main function to get it to work in a .py file. Here is the solution using the OP's shared example code from above:

from cuml.common.sparsefuncs import csr_row_normalize_l2

def efficient_csr_cosine_similarity(query, tfidf_matrix, matrix_normalized=False):
    query = csr_row_normalize_l2(query, inplace=False)
    if not matrix_normalized:
        tfidf_matrix = csr_row_normalize_l2(tfidf_matrix, inplace=False)

    return tfidf_matrix.dot(query.T)

def document_search(text_df, query, vectorizer, tfidf_matrix, top_n=3):
    query_vec = vectorizer.transform(Series([query]))
    similarities = efficient_csr_cosine_similarity(query_vec, tfidf_matrix, matrix_normalized=True)
    similarities = similarities.todense().reshape(-1)
    best_idx = similarities.argsort()[-top_n:][::-1]

    pp = cudf.DataFrame({
        'text': text_df['workout'].iloc[best_idx],
        'similarity': similarities[best_idx]
    })
    return pp

if __name__ == '__main__':
    document_search(wod_df, 'time', vec, tfidf_matrix)

Tested to work. @robomike please verify. Once verified, @dantegd please close :). This is going to make it into the upcoming FAQs, as its not the first time someone had this issue (myself included).

robomike commented 3 years ago

@taureandyernv this seems to resolve the problem on Docker. For some reason, it doesn't work in my Conda environment. But at least I can work with the docker. Thank you. :)

robomike commented 3 years ago

Providing more details. It seems that this is an issue related to Cuda toolkit 11. The code works fine in the stable docker with cuda tool kit version 10.1.243, but fails in the nightly docker using 11.0.221 @taureandyernv @dantegd

robomike commented 3 years ago

i can also confirm it works without the main function modification on the 10.1.243 cudatoolkit docker

ChocolateCream commented 3 years ago

I got the same issue myself and I have been troubleshooting the issue for the past 3 days "thought it's my fault as it's my first use to Ubuntu 20.04"

I am using Anaconda to create an environment based on the instructions here: https://rapids.ai/start.html

The notebook that I have been working on is here: https://www.kaggle.com/cdeotte/rapids-gpu-knn-mnist-0-97

whenever I try to predict using the KNN, I get the same error and I will print out the log by the end of the message.

one work around that worked for me is to use pandas dataframes and not the cudf, this prevented this error and so I am not sure what is causing the problem

I am using the cuda 11.2 - python 3.8 - a GTX 1080 TI

Also, please let me know if I shall open a new thread or is it ok to post it here "I am not satisfied with the work around anyway but it's something which is better than nothing"

here is the code and the output:

# CREATE 20% VALIDATION SET
X_train, X_test, y_train, y_test = train_test_split(train.drop(columns='label'),
                                                    train.label,
                                                    test_size=0.2,
                                                    random_state=42)

display(X_train.shape)
display(X_test.shape)
display(type(X_train))
display(type(y_train))

(33600, 784) (8400, 784) cudf.core.dataframe.DataFrame cudf.core.series.Series

knn = KNeighborsClassifier(n_neighbors=5)
knn.fit(X_train, y_train)
x1 = knn.predict(X_test)

display(type(x1))
x1

RuntimeError Traceback (most recent call last) /tmp/ipykernel_7367/236533181.py in 1 knn = KNeighborsClassifier(n_neighbors=5) ----> 2 knn.fit(X_train, y_train) 3 x1 = knn.predict(X_test) 4 5 display(type(x1))

~/anaconda3/envs/rapids_clone/lib/python3.8/site-packages/cuml/internals/api_decorators.py in inner_with_setters(*args, *kwargs) 407 target_val=target_val) 408 --> 409 return func(args, **kwargs) 410 411 @wraps(func)

cuml/neighbors/kneighbors_classifier.pyx in cuml.neighbors.kneighbors_classifier.KNeighborsClassifier.fit()

~/anaconda3/envs/rapids_clone/lib/python3.8/site-packages/cupy/_manipulation/add_remove.py in unique(ar, return_index, return_inverse, returncounts, axis) 177 aux = ar[perm] 178 else: --> 179 ar.sort() 180 aux = ar 181 mask = cupy.empty(aux.shape, dtype=cupy.bool)

cupy/_core/core.pyx in cupy._core.core.ndarray.sort()

cupy/_core/core.pyx in cupy._core.core.ndarray.sort()

cupy/_core/_routines_sorting.pyx in cupy._core._routines_sorting._ndarray_sort()

cupy/cuda/thrust.pyx in cupy.cuda.thrust.sort()

RuntimeError: radix_sort: failed on 2nd step: cudaErrorInvalidValue: invalid argument

robomike commented 2 years ago

This is also a bug now on this docker. docker pull rapidsai/rapidsai-dev:21.08-cuda11.0-devel-ubuntu18.04-py3.7 docker run --gpus all --rm -it -p 8888:8888 -p 8787:8787 -p 8786:8786 \ rapidsai/rapidsai-dev:21.08-cuda11.0-devel-ubuntu18.04-py3.7

dantegd commented 2 years ago

@robomike could you run this script and put the output here? This can help triage the issue: https://github.com/rapidsai/cuml/blob/branch-21.12/print_env.sh

robomike commented 2 years ago

@dantegd It doesn't run, seems to be complaining about newlines

dantegd commented 2 years ago

How did you run it? I just ran it in the 21.10 nightly container:

(rapids) root@d7ef874655c9:/rapids/cuml# ./print_env.sh
<details><summary>Click here to see environment details</summary><pre>

     **git***
     commit 835a9ae64daf8293357ed9b44678cdd7a90da111 (grafted, HEAD -> branch-21.10, origin/branch-21.10)
     Author: Dante Gama Dessavre <dante.gamadessavre@gmail.com>
     Date:   Thu Sep 30 06:53:30 2021 -0500

     Experimental option to build libcuml++ only with FIL (#4225)

     cc @wphicks

     Authors:
     ...

shwina commented 2 years ago

My guess is you used something like curl -O to get the .sh file (it happens to me all the time!). If so, make sure to grab the raw text:

curl -O https://raw.githubusercontent.com/rapidsai/cuml/branch-21.12/print_env.sh
bash print_env.sh

robomike commented 2 years ago

@dantegd good catch thank you. Here is the output:

(rapids-21.08) robomike@robomike-Z10PE-D16-Series:~/Downloads$ sudo sh print_env.sh
Click here to see environment details

 **git***

print_env.sh: 10: [: unexpected operator Not inside a git repository

 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=20.04
 DISTRIB_CODENAME=focal
 DISTRIB_DESCRIPTION="Ubuntu 20.04.2 LTS"
 NAME="Ubuntu"
 VERSION="20.04.2 LTS (Focal Fossa)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 20.04.2 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 robomike-Z10PE-D16-Series 5.4.0-88-generic #99-Ubuntu SMP Thu Sep 23 17:29:00 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux

 ***GPU Information***
 Mon Oct  4 15:19:07 2021
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 460.91.03    Driver Version: 460.91.03    CUDA Version: 11.2     |
 |-------------------------------+----------------------+----------------------+
 | 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  TITAN X (Pascal)    On   | 00000000:02:00.0  On |                  N/A |
 | 29%   50C    P8    17W / 250W |    908MiB / 12173MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   1  GeForce GTX 1080    On   | 00000000:81:00.0 Off |                  N/A |
 |  0%   39C    P8     6W / 180W |     11MiB /  8119MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+

 +-----------------------------------------------------------------------------+
 | Processes:                                                                  |
 |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
 |        ID   ID                                                   Usage      |
 |=============================================================================|
 |    0   N/A  N/A      8312      G   /usr/lib/xorg/Xorg                576MiB |
 |    0   N/A  N/A     14044      G   /usr/bin/compiz                    27MiB |
 |    0   N/A  N/A     16572      G   ...AAAAAAAAA= --shared-files        3MiB |
 |    0   N/A  N/A     16962      G   ...AAAAAAAAA= --shared-files       20MiB |
 |    0   N/A  N/A    520336      C   ...ffice/program/soffice.bin      135MiB |
 |    0   N/A  N/A    684844      G   ...AAAAAAAAA= --shared-files       24MiB |
 |    0   N/A  N/A    684845      G   ...AAAAAAAAA= --shared-files       20MiB |
 |    0   N/A  N/A    684846      G   ...AAAAAAAAA= --shared-files       93MiB |
 |    1   N/A  N/A      8312      G   /usr/lib/xorg/Xorg                  6MiB |
 +-----------------------------------------------------------------------------+

 ***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):                          56
 On-line CPU(s) list:             0-55
 Thread(s) per core:              2
 Core(s) per socket:              14
 Socket(s):                       2
 NUMA node(s):                    2
 Vendor ID:                       GenuineIntel
 CPU family:                      6
 Model:                           63
 Model name:                      Genuine Intel(R) CPU @ 2.70GHz
 Stepping:                        2
 CPU MHz:                         2125.908
 CPU max MHz:                     3500.0000
 CPU min MHz:                     1200.0000
 BogoMIPS:                        5387.46
 Virtualization:                  VT-x
 L1d cache:                       896 KiB
 L1i cache:                       896 KiB
 L2 cache:                        7 MiB
 L3 cache:                        70 MiB
 NUMA node0 CPU(s):               0-13,28-41
 NUMA node1 CPU(s):               14-27,42-55
 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 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; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
 Vulnerability Srbds:             Not affected
 Vulnerability Tsx async abort:   Not affected
 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 cpuid_fault epb invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad 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

 ***CMake***
 /usr/bin/cmake
 cmake version 3.16.3

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

 ***g++***
 /usr/bin/g++
 g++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
 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***

 ***Python***
 /usr/bin/python
 Python 2.7.18

 ***Environment Variables***
 PATH                            : /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin
 LD_LIBRARY_PATH                 :
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    :
 PYTHON_PATH                     :

 ***conda packages***
 conda: not found

(rapids-21.08) robomike@robomike-Z10PE-D16-Series:~/Downloads$

robomike commented 2 years ago

also, we use miniconda

dantegd commented 2 years ago

That’s an odd output, miniconda is the same as conda (it just excludes a lot of the defualt installation packages AFAIK), but it should be listed fine in the print_env script (since it just calls conda list for that essentially).

BTW, not sure if it’ll help but the 21.10 nightly container seems to be running fine for me: rapidsai/rapidsai-dev-nightly:21.10-cuda11.2-devel-ubuntu18.04-py3.8

Additionally, do you have a full script I could run to repro? i.e. with data and all the code in it (in the original issue, I don’t have wod_df

robomike commented 2 years ago

Hi @dantegd got just the thing for you. workout_exp.csv

And here is the code for python:

`import os import cudf from blazingsql import BlazingContext from cudf import Series from cudf import DataFrame

from cuml.feature_extraction.text import TfidfVectorizer

from cuml.common.sparsefuncs import csr_row_normalize_l2

def efficient_csr_cosine_similarity(query, tfidf_matrix, matrix_normalized=False): query = csr_row_normalize_l2(query, inplace=False) if not matrix_normalized: tfidf_matrix = csr_row_normalize_l2(tfidf_matrix, inplace=False)
return tfidf_matrix.dot(query.T)

def document_search(text_df, query, vectorizer, tfidf_matrix, top_n=10): query_vec = vectorizer.transform(Series([query])) similarities = efficient_csr_cosine_similarity(query_vec, tfidf_matrix, matrix_normalized=True) similarities = similarities.todense().reshape(-1) best_idx = similarities.argsort()[-top_n:][::-1] pp = cudf.DataFrame({ 'text': text_df['workout'].iloc[best_idx], 'similarity': similarities[best_idx] }) return pp

if name == 'main': os.environ["CUDA_VISIBLE_DEVICES"]='0' wod_df = cudf.read_csv('./data/workout_exp.csv') vec = TfidfVectorizer(stop_words='english') workouts = Series(wod_df['workout']) tfidf_matrix = vec.fit_transform(workouts) tfidf_matrix.shape print(tfidf_matrix.shape) print(document_search(wod_df, 'time', vec, tfidf_matrix))`

dantegd commented 2 years ago

@robomike (cc @Nanthini10 who’s helping me), in the current nightly container this works fine:


(rapids) root@5011cd405f80:/rapids# python repro.py 
(7345, 7194)
                                                   text  similarity
5715   For time:\n100 L-Pull-ups Post time to comments.    0.543912
4538    For time:\n50 Muscle-ups Post time to comments.    0.534174
438   3 rounds for time of: 21 hang power snatches\n...    0.495209
6324                     Run 5 K Post time to comments.    0.466011
6040                     Run 5 K Post time to comments.    0.466011
5736                     Run 5 K Post time to comments.    0.466011
5541                     Run 5 K Post time to comments.    0.466011
4459                     Run 3 K Post time to comments.    0.466011
5629  Four rounds for time of:\n50 Squats\n5 Muscle-...    0.463969
4933  Four rounds for time of:\n5 Muscle-ups\n50 Squ...    0.463969

where repro.py contains:


import os
import cudf
from blazingsql import BlazingContext
from cudf import Series
from cudf import DataFrame

from cuml.feature_extraction.text import TfidfVectorizer

from cuml.common.sparsefuncs import csr_row_normalize_l2

def efficient_csr_cosine_similarity(query, tfidf_matrix, matrix_normalized=False):
    query = csr_row_normalize_l2(query, inplace=False)
    if not matrix_normalized:
        tfidf_matrix = csr_row_normalize_l2(tfidf_matrix, inplace=False)
    return tfidf_matrix.dot(query.T)

def document_search(text_df, query, vectorizer, tfidf_matrix, top_n=10):
    query_vec = vectorizer.transform(Series([query]))
    similarities = efficient_csr_cosine_similarity(query_vec, tfidf_matrix, matrix_normalized=True)
    similarities = similarities.todense().reshape(-1)
    best_idx = similarities.argsort()[-top_n:][::-1]
    pp = cudf.DataFrame({
        'text': text_df['workout'].iloc[best_idx],
        'similarity': similarities[best_idx]
    })
    return pp

if __name__ == "__main__":
    os.environ["CUDA_VISIBLE_DEVICES"]='0'
    wod_df = cudf.read_csv('workout_exp.csv')
    vec = TfidfVectorizer(stop_words='english')
    workouts = Series(wod_df['workout'])
    tfidf_matrix = vec.fit_transform(workouts)
    tfidf_matrix.shape
    print(tfidf_matrix.shape)
    print(document_search(wod_df, 'time', vec, tfidf_matrix))

any chance you could give a shot to the 21.10 container (rapidsai/rapidsai-dev-nightly:21.10-cuda11.2-devel-ubuntu18.04-py3.8) and let us know if the issue persists? Thanks for the issue and assistance triaging!

robomike commented 2 years ago

@dantegd I find it strange that docker exists early when using the -v command.

Nanthini10 commented 2 years ago

@robomike What do you mean exists early? -v is used to mount a local directory to a directory within the docker container.

robomike commented 2 years ago

@Nanthini10 when you run the docker the prompt goes to # , but this docker with the -v command exits early. Without the -v command it runs fine. This is what it should look like:

dantegd commented 2 years ago

Very interesting issue of docker exiting early, my installation works fine:

(base) ➜  ~ docker run --rm -it -v ~/Desktop --gpus all -p 8888:8888 -p 8787:8787 -p 8050:8050 rapidsai/rapidsai-dev-nightly:21.10-cuda11.2-devel-ubuntu18.04-py3.8
This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.download.nvidia.com/licenses/NVIDIA_Deep_Learning_Container_License.pdf

A JupyterLab server has been started!
To access it, visit http://localhost:8888 on your host machine.
Ensure the following arguments were added to "docker run" to expose the JupyterLab server to your host machine:
      -p 8888:8888 -p 8787:8787 -p 8786:8786
Make local folders visible by bind mounting to /rapids/notebooks/host
(rapids) root@72994f53bc0b:/rapids#

I wonder if there is a small issue in the docker version being run, but I wouldn't be sure at all

robomike commented 2 years ago

@dantegd I am only having that issue with the nightly docker the release ones work just fine. When I removed the ':/rapids/notebooks/host' from the -v command it works.

robomike commented 2 years ago

@dantegd unfortuantely without the proper mapping I can't see the files from the host to run.

robomike commented 2 years ago

@dantegd does this command work for you? docker run --rm -it -v ~/Desktop:/rapids/notebooks/host --gpus all -p 8888:8888 -p 8787:8787 -p 8050:8050 rapidsai/rapidsai-dev-nightly:21.10-cuda11.2-devel-ubuntu18.04-py3.8

robomike commented 2 years ago

Tried this docker same issue rapidsai/rapidsai-dev-nightly:21.10-cuda11.2-devel-ubuntu20.04-py3.8 @dantegd seems like to be an issue with the nightly builds since the runtime is free of the -v exception:

robomike commented 2 years ago

Hey @dantegd so... got a call from @taureandyernv and we ran this command on my computer and solved the early exit problem, I think it is because I messed with the ports.

docker run --gpus all --rm -it -p 8888:8888 -p 8787:8787 -p 8050:8050 -p 8786:8786 -v ~/code/wodmatic_gpu:/rapids/notebooks/nc rapidsai/rapidsai-dev-nightly:21.10-cuda11.2-devel-ubuntu20.04-py3.8

got a working bash

But the error when running the app still persisted:

Traceback (most recent call last): File "/rapids/notebooks/nc/Merlin/wodmatic/app/workouts/app.py", line 156, in displayWods fat_df = document_search(workout_df, 'minutes of:', vec, tfidf_matrix) File "/rapids/notebooks/nc/Merlin/wodmatic/app/workouts/app.py", line 45, in document_search best_idx = similarities.argsort()[-top_n:][::-1] File "cupy/_core/core.pyx", line 740, in cupy._core.core.ndarray.argsort

File "cupy/_core/core.pyx", line 757, in cupy._core.core.ndarray.argsort

File "cupy/_core/_routines_sorting.pyx", line 86, in cupy._core._routines_sorting._ndarray_argsort

File "cupy/cuda/thrust.pyx", line 117, in cupy.cuda.thrust.argsort

RuntimeError: radix_sort: failed on 2nd step: cudaErrorInvalidValue: invalid argument

Nanthini10 commented 2 years ago

@robomike This is very odd, I'm unable to reproduce this on Ubuntu 18.04 or 20.04 and CUDA 11.0 or 11.2 toolkit, which makes it that much harder to debug. I'm going to try a few more cases and see if this error is caught in a different way.

Nanthini10 commented 2 years ago

@robomike Can you do a ./print_env.sh again? The last one didn't seem to return the libraries and their version properly. Understanding the environment will help.

robomike commented 2 years ago

hi @Nanthini10 Here is the docker environment where the error still happened:

Serving Flask app 'app' (lazy loading)

Environment: production WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
Debug mode: on /rapids/notebooks/nc/Merlin/wodmatic/app/workouts/app.py:8: UserWarning: The dash_html_components package is deprecated. Please replace import dash_html_components as html with from dash import html import dash_html_components as html ^C(rapids) root@bdf4ab8a676b:/rapids/notebooks/nc/Merlin/wodmatic/app/workouts# sh print_env.sh
Click here to see environment details

 **git***

print_env.sh: 10: [: true: unexpected operator Not inside a git repository

 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=20.04
 DISTRIB_CODENAME=focal
 DISTRIB_DESCRIPTION="Ubuntu 20.04.3 LTS"
 NAME="Ubuntu"
 VERSION="20.04.3 LTS (Focal Fossa)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 20.04.3 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 bdf4ab8a676b 5.4.0-88-generic #99-Ubuntu SMP Thu Sep 23 17:29:00 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux

 ***GPU Information***
 Tue Oct  5 22:00:45 2021
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 460.91.03    Driver Version: 460.91.03    CUDA Version: 11.2     |
 |-------------------------------+----------------------+----------------------+
 | 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  TITAN X (Pascal)    On   | 00000000:02:00.0  On |                  N/A |
 | 30%   49C    P8    17W / 250W |    860MiB / 12173MiB |      8%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   1  GeForce GTX 1080    On   | 00000000:81:00.0 Off |                  N/A |
 |  0%   48C    P8     6W / 180W |     11MiB /  8119MiB |      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):                          56
 On-line CPU(s) list:             0-55
 Thread(s) per core:              2
 Core(s) per socket:              14
 Socket(s):                       2
 NUMA node(s):                    2
 Vendor ID:                       GenuineIntel
 CPU family:                      6
 Model:                           63
 Model name:                      Genuine Intel(R) CPU @ 2.70GHz
 Stepping:                        2
 CPU MHz:                         1197.298
 CPU max MHz:                     3500.0000
 CPU min MHz:                     1200.0000
 BogoMIPS:                        5387.46
 Virtualization:                  VT-x
 L1d cache:                       896 KiB
 L1i cache:                       896 KiB
 L2 cache:                        7 MiB
 L3 cache:                        70 MiB
 NUMA node0 CPU(s):               0-13,28-41
 NUMA node1 CPU(s):               14-27,42-55
 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 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; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
 Vulnerability Srbds:             Not affected
 Vulnerability Tsx async abort:   Not affected
 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 cpuid_fault epb invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad 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

 ***CMake***
 /opt/conda/envs/rapids/bin/cmake
 cmake version 3.20.5

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

 ***g++***
 /usr/local/bin/g++
 g++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
 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***
 /usr/local/cuda/bin/nvcc
 nvcc: NVIDIA (R) Cuda compiler driver
 Copyright (c) 2005-2021 NVIDIA Corporation
 Built on Sun_Feb_14_21:12:58_PST_2021
 Cuda compilation tools, release 11.2, V11.2.152
 Build cuda_11.2.r11.2/compiler.29618528_0

 ***Python***
 /opt/conda/envs/rapids/bin/python
 Python 3.8.12

 ***Environment Variables***
 PATH                            : /opt/conda/envs/rapids/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:/usr/local/cuda/lib64:/usr/local/lib:/opt/conda/envs/rapids/lib
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    : /opt/conda/envs/rapids
 PYTHON_PATH                     :

 ***conda packages***
 conda is /opt/conda/envs/rapids/bin/conda
 /opt/conda/envs/rapids/bin/conda
 # packages in environment at /opt/conda/envs/rapids:
 #
 # Name                    Version                   Build  Channel
 _libgcc_mutex             0.1                 conda_forge    conda-forge
 _openmp_mutex             4.5                      1_llvm    conda-forge
 abseil-cpp                20210324.2           h9c3ff4c_0    conda-forge
 aiobotocore               1.4.1              pyhd8ed1ab_0    conda-forge
 aiohttp                   3.7.4.post0      py38h497a2fe_0    conda-forge
 aioitertools              0.8.0              pyhd8ed1ab_0    conda-forge
 alabaster                 0.7.12                     py_0    conda-forge
 alsa-lib                  1.2.3                h516909a_0    conda-forge
 anyio                     3.3.2            py38h578d9bd_0    conda-forge
 appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
 argon2-cffi               20.1.0           py38h497a2fe_2    conda-forge
 arrow-cpp                 5.0.0           py38hdc1b314_6_cuda    conda-forge
 arrow-cpp-proc            3.0.0                      cuda    conda-forge
 asn1crypto                1.4.0              pyh9f0ad1d_0    conda-forge
 asvdb                     0.4.2               g90e8f2c_40    rapidsai-nightly
 async-timeout             3.0.1                   py_1000    conda-forge
 async_generator           1.10                       py_0    conda-forge
 atk-1.0                   2.36.0               h3371d22_4    conda-forge
 attrs                     21.2.0             pyhd8ed1ab_0    conda-forge
 autoconf                  2.69            pl5320h36c2ea0_10    conda-forge
 automake                  1.16.2          pl5320ha770c72_3    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-sam-translator        1.38.0             pyhd8ed1ab_0    conda-forge
 aws-sdk-cpp               1.8.186              hb4091e7_3    conda-forge
 aws-xray-sdk              2.8.0              pyhd8ed1ab_0    conda-forge
 babel                     2.9.1              pyh44b312d_0    conda-forge
 backcall                  0.2.0              pyh9f0ad1d_0    conda-forge
 backports                 1.0                        py_2    conda-forge
 backports.functools_lru_cache 1.6.4              pyhd8ed1ab_0    conda-forge
 beautifulsoup4            4.10.0             pyha770c72_0    conda-forge
 benchmark                 1.5.1                he1b5a44_2    conda-forge
 black                     19.10b0                    py_4    conda-forge
 blas                      2.111                  openblas    conda-forge
 blas-devel                3.9.0           11_linux64_openblas    conda-forge
 blazingsql                21.10.0a0                pypi_0    pypi
 bleach                    4.1.0              pyhd8ed1ab_0    conda-forge
 blinker                   1.4                        py_1    conda-forge
 blosc                     1.21.0               h9c3ff4c_0    conda-forge
 bokeh                     2.3.3            py38h578d9bd_0    conda-forge
 boost                     1.72.0           py38h1e42940_1    conda-forge
 boost-cpp                 1.72.0               h312852a_5    conda-forge
 boto3                     1.17.106           pyhd8ed1ab_0    conda-forge
 botocore                  1.20.106           pyhd8ed1ab_0    conda-forge
 brotli                    1.0.9                    pypi_0    pypi
 brotli-bin                1.0.9                h7f98852_5    conda-forge
 brotlipy                  0.7.0           py38h497a2fe_1001    conda-forge
 brunsli                   0.1                  h9c3ff4c_0    conda-forge
 bsql-engine               0.6                      pypi_0    pypi
 bzip2                     1.0.8                h7f98852_4    conda-forge
 c-ares                    1.17.2               h7f98852_0    conda-forge
 ca-certificates           2021.5.30            ha878542_0    conda-forge
 cachetools                4.2.4              pyhd8ed1ab_0    conda-forge
 cairo                     1.16.0            h6cf1ce9_1008    conda-forge
 certifi                   2021.5.30        py38h578d9bd_0    conda-forge
 cffi                      1.14.6           py38h3931269_1    conda-forge
 cfitsio                   3.470                hb418390_7    conda-forge
 cfn-lint                  0.54.2           py38h578d9bd_0    conda-forge
 chardet                   4.0.0            py38h578d9bd_1    conda-forge
 charls                    2.2.0                h9c3ff4c_0    conda-forge
 charset-normalizer        2.0.0              pyhd8ed1ab_0    conda-forge
 clang                     11.0.0          default_h934c63c_0    conda-forge
 clang-tools               11.0.0          default_h934c63c_0    conda-forge
 clangxx                   11.0.0          default_hde54327_0    conda-forge
 click                     7.1.2              pyh9f0ad1d_0    conda-forge
 click-plugins             1.1.1                      py_0    conda-forge
 cligj                     0.7.2              pyhd8ed1ab_0    conda-forge
 cloudpickle               2.0.0              pyhd8ed1ab_0    conda-forge
 cmake                     3.20.5               h8897547_0    conda-forge
 cmake-format              0.6.11             pyh9f0ad1d_0    conda-forge
 cmake_setuptools          0.1.3                      py_0    rapidsai-nightly
 cmarkgfm                  0.6.0            py38h497a2fe_0    conda-forge
 colorama                  0.4.4              pyh9f0ad1d_0    conda-forge
 colorcet                  2.0.6              pyhd8ed1ab_0    conda-forge
 commonmark                0.9.1                      py_0    conda-forge
 conda                     4.10.3           py38h578d9bd_2    conda-forge
 conda-build               3.20.3           py38h32f6830_0    conda-forge
 conda-package-handling    1.7.3            py38h497a2fe_0    conda-forge
 conda-verify              3.1.1           py38h578d9bd_1003    conda-forge
 coverage                  5.5              py38h497a2fe_0    conda-forge
 cppzmq                    4.8.1                hf7cf922_0    conda-forge
 cryptography              3.4.7            py38ha5dfef3_0    conda-forge
 cudatoolkit               11.2.72              h2bc3f7f_0    nvidia
 cudf                      0+untagged.1.gfc341af          pypi_0    pypi
 cudf-kafka                0+untagged.1.gfc341af          pypi_0    pypi
 cugraph                   0+untagged.1.g54b8573          pypi_0    pypi
 cuml                      0+untagged.1.g835a9ae          pypi_0    pypi
 cupy                      9.4.0            py38h7818112_0    conda-forge
 curl                      7.79.1               h2574ce0_1    conda-forge
 cusignal                  0+untagged.1.g5ae8e6a          pypi_0    pypi
 cuspatial                 0+untagged.1.gb047251          pypi_0    pypi
 cuxfilter                 0+untagged.1.ge7ef0f0          pypi_0    pypi
 cycler                    0.10.0                     py_2    conda-forge
 cyrus-sasl                2.1.27               h230043b_3    conda-forge
 cython                    0.29.24          py38h709712a_0    conda-forge
 cytoolz                   0.11.0           py38h497a2fe_3    conda-forge
 dash                      2.0.0                    pypi_0    pypi
 dash-bootstrap-components 0.13.1                   pypi_0    pypi
 dash-core-components      2.0.0                    pypi_0    pypi
 dash-html-components      2.0.0                    pypi_0    pypi
 dash-table                5.0.0                    pypi_0    pypi
 dask                      2021.9.1           pyhd8ed1ab_0    conda-forge
 dask-core                 2021.9.1           pyhd8ed1ab_0    conda-forge
 dask-cudf                 0+untagged.1.gfc341af          pypi_0    pypi
 dask-glm                  0.2.0                      py_1    conda-forge
 dask-labextension         5.1.0              pyhd8ed1ab_0    conda-forge
 dask-ml                   1.9.0              pyhd8ed1ab_0    conda-forge
 dataclasses               0.8                pyhc8e2a94_3    conda-forge
 datashader                0.11.1             pyh9f0ad1d_0    conda-forge
 datashape                 0.5.4                      py_1    conda-forge
 dbus                      1.13.6               h48d8840_2    conda-forge
 decorator                 4.4.2                      py_0    conda-forge
 defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge
 distributed               2021.9.1         py38h578d9bd_0    conda-forge
 dlpack                    0.5                  h9c3ff4c_0    conda-forge
 docker-py                 5.0.2            py38h578d9bd_0    conda-forge
 docker-pycreds            0.4.0                      py_0    conda-forge
 docutils                  0.16             py38h578d9bd_3    conda-forge
 double-conversion         3.1.5                h9c3ff4c_2    conda-forge
 doxygen                   1.8.20               had0d8f1_0    conda-forge
 ecdsa                     0.17.0             pyhd8ed1ab_0    conda-forge
 entrypoints               0.3             pyhd8ed1ab_1003    conda-forge
 execnet                   1.9.0              pyhd8ed1ab_0    conda-forge
 expat                     2.4.1                h9c3ff4c_0    conda-forge
 fa2                       0.3.5            py38h1e0a361_0    conda-forge
 faiss-proc                1.0.0                      cuda    rapidsai
 fastavro                  1.4.5            py38h497a2fe_0    conda-forge
 fastrlock                 0.6              py38h709712a_1    conda-forge
 feather-format            0.4.1              pyh9f0ad1d_0    conda-forge
 filelock                  3.1.0              pyhd8ed1ab_1    conda-forge
 filterpy                  1.4.5                      py_1    conda-forge
 fiona                     1.8.20           py38hbb147eb_1    conda-forge
 flake8                    3.8.4                      py_0    conda-forge
 flask                     2.0.1              pyhd8ed1ab_0    conda-forge
 flask-compress            1.10.1                   pypi_0    pypi
 flask_cors                3.0.10             pyhd3deb0d_0    conda-forge
 font-ttf-dejavu-sans-mono 2.37                 hab24e00_0    conda-forge
 font-ttf-inconsolata      3.000                h77eed37_0    conda-forge
 font-ttf-source-code-pro  2.038                h77eed37_0    conda-forge
 font-ttf-ubuntu           0.83                 hab24e00_0    conda-forge
 fontconfig                2.13.1            hba837de_1005    conda-forge
 fonts-conda-ecosystem     1                             0    conda-forge
 fonts-conda-forge         1                             0    conda-forge
 freetype                  2.10.4               h0708190_1    conda-forge
 freexl                    1.0.6                h7f98852_0    conda-forge
 fribidi                   1.0.10               h36c2ea0_0    conda-forge
 fsspec                    2021.9.0           pyhd8ed1ab_0    conda-forge
 future                    0.18.2           py38h578d9bd_3    conda-forge
 gcsfs                     2021.9.0           pyhd8ed1ab_0    conda-forge
 gdal                      3.3.1            py38h81a01a0_3    conda-forge
 gdk-pixbuf                2.42.6               h04a7f16_0    conda-forge
 geopandas                 0.9.0              pyhd8ed1ab_1    conda-forge
 geopandas-base            0.9.0              pyhd8ed1ab_1    conda-forge
 geos                      3.9.1                h9c3ff4c_2    conda-forge
 geotiff                   1.6.0                h4f31c25_6    conda-forge
 gettext                   0.19.8.1          h73d1719_1008    conda-forge
 gflags                    2.2.2             he1b5a44_1004    conda-forge
 giflib                    5.2.1                h36c2ea0_2    conda-forge
 git                       2.33.0          pl5321hc30692c_1    conda-forge
 git-lfs                   2.13.3               ha770c72_0    conda-forge
 glib                      2.68.4               h9c3ff4c_1    conda-forge
 glib-tools                2.68.4               h9c3ff4c_1    conda-forge
 glob2                     0.7                        py_0    conda-forge
 glog                      0.5.0                h48cff8f_0    conda-forge
 gmock                     1.10.0               h4bd325d_7    conda-forge
 gmp                       6.2.1                h58526e2_0    conda-forge
 google-auth               2.2.1              pyh6c4a22f_0    conda-forge
 google-auth-oauthlib      0.4.6              pyhd8ed1ab_0    conda-forge
 google-cloud-cpp          1.31.1               h3a30730_1    conda-forge
 gpuci-tools               0.3.1                        10    gpuci
 graphite2                 1.3.13            h58526e2_1001    conda-forge
 graphviz                  2.49.0               h85b4f2f_0    conda-forge
 greenlet                  1.1.2            py38h709712a_0    conda-forge
 grpc-cpp                  1.40.0               h850795e_0    conda-forge
 gtest                     1.10.0               h4bd325d_7    conda-forge
 gtk2                      2.24.33              h539f30e_1    conda-forge
 gts                       0.7.6                h64030ff_2    conda-forge
 harfbuzz                  2.9.1                h83ec7ef_1    conda-forge
 hdbscan                   0.8.27           py38h5c078b8_0    conda-forge
 hdf4                      4.2.15               h10796ff_3    conda-forge
 hdf5                      1.12.1          nompi_h2750804_100    conda-forge
 heapdict                  1.0.1                      py_0    conda-forge
 holoviews                 1.14.6             pyhd8ed1ab_0    conda-forge
 html5lib                  1.1                pyh9f0ad1d_0    conda-forge
 httpretty                 1.1.4              pyhd8ed1ab_0    conda-forge
 huggingface_hub           0.0.17             pyhd8ed1ab_0    conda-forge
 hypothesis                6.23.1             pyhd8ed1ab_0    conda-forge
 icu                       68.1                 h58526e2_0    conda-forge
 idna                      2.10               pyh9f0ad1d_0    conda-forge
 imagecodecs               2021.7.30        py38hb5ce8f7_1    conda-forge
 imageio                   2.9.0                      py_0    conda-forge
 imagesize                 1.2.0                      py_0    conda-forge
 importlib-metadata        4.8.1            py38h578d9bd_0    conda-forge
 importlib_metadata        4.8.1                hd8ed1ab_0    conda-forge
 inflection                0.5.1              pyh9f0ad1d_0    conda-forge
 iniconfig                 1.1.1              pyh9f0ad1d_0    conda-forge
 ipykernel                 5.5.5            py38hd0cf306_0    conda-forge
 ipython                   7.15.0           py38h32f6830_0    conda-forge
 ipython_genutils          0.2.0                      py_1    conda-forge
 ipywidgets                7.6.5              pyhd8ed1ab_0    conda-forge
 isort                     5.6.4                      py_0    conda-forge
 itsdangerous              2.0.1              pyhd8ed1ab_0    conda-forge
 jbig                      2.1               h7f98852_2003    conda-forge
 jedi                      0.17.2           py38h578d9bd_1    conda-forge
 jeepney                   0.7.1              pyhd8ed1ab_0    conda-forge
 jinja2                    3.0.1              pyhd8ed1ab_0    conda-forge
 jmespath                  0.10.0             pyh9f0ad1d_0    conda-forge
 joblib                    1.0.1              pyhd8ed1ab_0    conda-forge
 jpeg                      9d                   h36c2ea0_0    conda-forge
 jpype1                    1.3.0            py38h1fd1430_0    conda-forge
 json-c                    0.15                 h98cffda_0    conda-forge
 json5                     0.9.5              pyh9f0ad1d_0    conda-forge
 jsondiff                  1.3.0              pyhd8ed1ab_0    conda-forge
 jsonpatch                 1.32               pyhd8ed1ab_0    conda-forge
 jsonpointer               2.0                        py_0    conda-forge
 jsonschema                3.2.0              pyhd8ed1ab_3    conda-forge
 junit-xml                 1.9                pyh9f0ad1d_0    conda-forge
 jupyter-packaging         0.7.12             pyhd8ed1ab_0    conda-forge
 jupyter-server-proxy      3.1.0              pyhd8ed1ab_0    conda-forge
 jupyter_client            7.0.5              pyhd8ed1ab_0    conda-forge
 jupyter_core              4.8.1            py38h578d9bd_0    conda-forge
 jupyter_server            1.11.0             pyhd8ed1ab_0    conda-forge
 jupyter_sphinx            0.3.1            py38h578d9bd_1    conda-forge
 jupyterlab                3.1.14             pyhd8ed1ab_0    conda-forge
 jupyterlab-favorites      3.0.0              pyhd8ed1ab_0    conda-forge
 jupyterlab-nvdashboard    0.7.0a210915               py_7    rapidsai-nightly
 jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
 jupyterlab_server         2.8.2              pyhd8ed1ab_0    conda-forge
 jupyterlab_widgets        1.0.2              pyhd8ed1ab_0    conda-forge
 jxrlib                    1.1                  h7f98852_2    conda-forge
 kealib                    1.4.14               h87e4c3c_3    conda-forge
 keyring                   23.2.1           py38h578d9bd_0    conda-forge
 kiwisolver                1.3.2            py38h1fd1430_0    conda-forge
 krb5                      1.19.2               hcc1bbae_2    conda-forge
 lapack                    3.9.0                    netlib    conda-forge
 lcms2                     2.12                 hddcbb42_0    conda-forge
 ld_impl_linux-64          2.36.1               hea4e1c9_2    conda-forge
 lerc                      2.2.1                h9c3ff4c_0    conda-forge
 libaec                    1.0.6                h9c3ff4c_0    conda-forge
 libarchive                3.5.2                hccf745f_1    conda-forge
 libblas                   3.9.0           11_linux64_openblas    conda-forge
 libbrotlicommon           1.0.9                h7f98852_5    conda-forge
 libbrotlidec              1.0.9                h7f98852_5    conda-forge
 libbrotlienc              1.0.9                h7f98852_5    conda-forge
 libcblas                  3.9.0           11_linux64_openblas    conda-forge
 libclang-cpp11            11.0.0          default_ha5c780c_2    conda-forge
 libcrc32c                 1.1.1                h9c3ff4c_2    conda-forge
 libcumlprims              21.10.00a210927 cuda11.2_g8e4d5a6_6    rapidsai-nightly
 libcurl                   7.79.1               h2574ce0_1    conda-forge
 libcypher-parser          0.6.2                         1    rapidsai-nightly
 libdap4                   3.20.6               hd7c4107_2    conda-forge
 libdeflate                1.7                  h7f98852_5    conda-forge
 libedit                   3.1.20191231         he28a2e2_2    conda-forge
 libev                     4.33                 h516909a_1    conda-forge
 libevent                  2.1.10               hcdb4288_3    conda-forge
 libfaiss                  1.7.0           cuda112h5bea7ad_8_cuda    conda-forge
 libffi                    3.4.2                h9c3ff4c_4    conda-forge
 libgcc-ng                 9.4.0                hfa6338b_9    conda-forge
 libgcrypt                 1.9.4                h7f98852_0    conda-forge
 libgd                     2.3.3                h6ad9fb6_0    conda-forge
 libgdal                   3.3.1                h6214c1d_3    conda-forge
 libgfortran-ng            9.4.0                h69a702a_9    conda-forge
 libgfortran5              9.4.0                h62347ff_9    conda-forge
 libglib                   2.68.4               h174f98d_1    conda-forge
 libgpg-error              1.42                 h9c3ff4c_0    conda-forge
 libgsasl                  1.10.0               h5b4c23d_0    conda-forge
 libhwloc                  2.3.0                h5e5b7d1_1    conda-forge
 libiconv                  1.16                 h516909a_0    conda-forge
 libkml                    1.3.0             hd79254b_1012    conda-forge
 liblapack                 3.9.0           11_linux64_openblas    conda-forge
 liblapacke                3.9.0           11_linux64_openblas    conda-forge
 liblief                   0.11.5               h9c3ff4c_0    conda-forge
 libllvm10                 10.0.1               he513fc3_3    conda-forge
 libllvm11                 11.0.1               hf817b99_0    conda-forge
 libnetcdf                 4.8.1           nompi_hb3fd0d9_101    conda-forge
 libnghttp2                1.43.0               h812cca2_1    conda-forge
 libntlm                   1.4               h7f98852_1002    conda-forge
 libopenblas               0.3.17          pthreads_h8fe5266_1    conda-forge
 libpng                    1.6.37               h21135ba_2    conda-forge
 libpq                     13.3                 hd57d9b9_0    conda-forge
 libprotobuf               3.16.0               h780b84a_0    conda-forge
 librdkafka                1.6.1                hc49e61c_1    conda-forge
 librsvg                   2.52.0               hc3c00ef_0    conda-forge
 librttopo                 1.1.0                h1185371_6    conda-forge
 libsodium                 1.0.18               h36c2ea0_1    conda-forge
 libspatialindex           1.9.3                h9c3ff4c_4    conda-forge
 libspatialite             5.0.1                h8694cbe_6    conda-forge
 libssh2                   1.10.0               ha56f1ee_2    conda-forge
 libstdcxx-ng              9.4.0                h79bfe98_9    conda-forge
 libthrift                 0.15.0               he6d91bd_0    conda-forge
 libtiff                   4.3.0                hf544144_1    conda-forge
 libtool                   2.4.6             h9c3ff4c_1008    conda-forge
 libutf8proc               2.6.1                h7f98852_0    conda-forge
 libuuid                   2.32.1            h7f98852_1000    conda-forge
 libuv                     1.42.0               h7f98852_0    conda-forge
 libwebp                   1.2.1                h3452ae3_0    conda-forge
 libwebp-base              1.2.1                h7f98852_0    conda-forge
 libxcb                    1.13              h7f98852_1003    conda-forge
 libxml2                   2.9.12               h72842e0_0    conda-forge
 libxslt                   1.1.33               h15afd5d_2    conda-forge
 libzip                    1.8.0                h4de3113_1    conda-forge
 libzopfli                 1.0.3                h9c3ff4c_0    conda-forge
 lightgbm                  3.2.1            py38h709712a_0    conda-forge
 llvm-openmp               12.0.1               h4bd325d_1    conda-forge
 llvmlite                  0.36.0           py38h4630a5e_0    conda-forge
 locket                    0.2.1                    pypi_0    pypi
 lxml                      4.6.3            py38hf1fe3a4_0    conda-forge
 lz4-c                     1.9.3                h9c3ff4c_1    conda-forge
 lzo                       2.10              h516909a_1000    conda-forge
 m4                        1.4.18            h516909a_1001    conda-forge
 make                      4.3                  hd18ef5c_1    conda-forge
 mapclassify               2.4.3              pyhd8ed1ab_0    conda-forge
 markdown                  3.3.4              pyhd8ed1ab_0    conda-forge
 markupsafe                2.0.1            py38h497a2fe_0    conda-forge
 matplotlib-base           3.4.3            py38hf4fb855_1    conda-forge
 maven                     3.6.3                ha770c72_0    conda-forge
 mccabe                    0.6.1                      py_1    conda-forge
 mimesis                   4.0.0              pyh9f0ad1d_0    conda-forge
 mistune                   0.8.4           py38h497a2fe_1004    conda-forge
 mock                      4.0.3            py38h578d9bd_1    conda-forge
 more-itertools            8.10.0             pyhd8ed1ab_0    conda-forge
 moto                      2.2.4              pyhd8ed1ab_0    conda-forge
 msgpack-python            1.0.2            py38h1fd1430_1    conda-forge
 multidict                 5.1.0            py38h497a2fe_1    conda-forge
 multipledispatch          0.6.0                      py_0    conda-forge
 munch                     2.5.0                      py_0    conda-forge
 mypy                      0.782                      py_0    conda-forge
 mypy_extensions           0.4.3            py38h578d9bd_3    conda-forge
 mysql-connector-cpp       8.0.23               h812cca2_0    conda-forge
 nbclassic                 0.3.2              pyhd8ed1ab_0    conda-forge
 nbclient                  0.5.4              pyhd8ed1ab_0    conda-forge
 nbconvert                 6.2.0            py38h578d9bd_0    conda-forge
 nbformat                  5.1.3              pyhd8ed1ab_0    conda-forge
 nbsphinx                  0.8.7              pyhd8ed1ab_0    conda-forge
 nccl                      2.10.3.1             hdc17891_0    conda-forge
 ncurses                   6.2                  h58526e2_4    conda-forge
 nest-asyncio              1.5.1              pyhd8ed1ab_0    conda-forge
 netifaces                 0.10.9          py38h497a2fe_1003    conda-forge
 networkx                  2.6.3              pyhd8ed1ab_0    conda-forge
 ninja                     1.10.2               h4bd325d_1    conda-forge
 nlohmann_json             3.9.1                h9c3ff4c_1    conda-forge
 nltk                      3.6.3              pyhd8ed1ab_0    conda-forge
 nodejs                    14.17.4              h92b4a50_0    conda-forge
 notebook                  6.4.4              pyha770c72_0    conda-forge
 numba                     0.53.1           py38h8b71fd7_1    conda-forge
 numpy                     1.21.2           py38he2449b9_0    conda-forge
 numpydoc                  1.1.0                      py_1    conda-forge
 nvtx                      0.2.3            py38h497a2fe_0    conda-forge
 oauthlib                  3.1.1              pyhd8ed1ab_0    conda-forge
 olefile                   0.46               pyh9f0ad1d_1    conda-forge
 openblas                  0.3.17          pthreads_h4748800_1    conda-forge
 openjdk                   11.0.9.1             h5cc2fde_1    conda-forge
 openjpeg                  2.4.0                hb52868f_1    conda-forge
 openslide                 3.4.1                h978ee9a_4    conda-forge
 openssl                   1.1.1l               h7f98852_0    conda-forge
 orc                       1.6.10               h58a87f1_0    conda-forge
 packaging                 21.0               pyhd8ed1ab_0    conda-forge
 pandas                    1.3.3            py38h43a58ef_0    conda-forge
 pandoc                    1.19.2                        0    conda-forge
 pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge
 panel                     0.12.1             pyhd8ed1ab_0    conda-forge
 pango                     1.48.10              hb8ff022_1    conda-forge
 param                     1.11.1             pyh6c4a22f_0    conda-forge
 parquet-cpp               1.5.1                         2    conda-forge
 parso                     0.7.1              pyh9f0ad1d_0    conda-forge
 partd                     1.2.0              pyhd8ed1ab_0    conda-forge
 patchelf                  0.13                 h58526e2_0    conda-forge
 pathspec                  0.9.0              pyhd8ed1ab_0    conda-forge
 patsy                     0.5.2              pyhd8ed1ab_0    conda-forge
 pcre                      8.45                 h9c3ff4c_0    conda-forge
 pcre2                     10.37                h032f7d1_0    conda-forge
 perl                      5.32.1          0_h7f98852_perl5    conda-forge
 pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
 pickleshare               0.7.5                   py_1003    conda-forge
 pillow                    8.3.2            py38h8e6f84c_0    conda-forge
 pip                       21.2.4             pyhd8ed1ab_0    conda-forge
 pixman                    0.40.0               h36c2ea0_0    conda-forge
 pkg-config                0.29.2            h36c2ea0_1008    conda-forge
 pkginfo                   1.7.1              pyhd8ed1ab_0    conda-forge
 plotly                    5.3.1                    pypi_0    pypi
 pluggy                    1.0.0            py38h578d9bd_1    conda-forge
 pooch                     1.5.1              pyhd8ed1ab_0    conda-forge
 poppler                   21.03.0              h93df280_0    conda-forge
 poppler-data              0.4.11               hd8ed1ab_0    conda-forge
 postgresql                13.3                 h2510834_0    conda-forge
 proj                      8.0.1                h277dcde_0    conda-forge
 prometheus_client         0.11.0             pyhd8ed1ab_0    conda-forge
 prompt-toolkit            3.0.20             pyha770c72_0    conda-forge
 prompt_toolkit            3.0.20               hd8ed1ab_0    conda-forge
 protobuf                  3.16.0           py38h709712a_0    conda-forge
 psutil                    5.8.0            py38h497a2fe_1    conda-forge
 pthread-stubs             0.4               h36c2ea0_1001    conda-forge
 ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
 pure-sasl                 0.6.2              pyhd8ed1ab_0    conda-forge
 py                        1.10.0             pyhd3deb0d_0    conda-forge
 py-cpuinfo                8.0.0              pyhd8ed1ab_0    conda-forge
 py-lief                   0.11.5           py38h709712a_0    conda-forge
 pyarrow                   5.0.0           py38hed47224_6_cuda    conda-forge
 pyasn1                    0.4.8                      py_0    conda-forge
 pyasn1-modules            0.2.7                      py_0    conda-forge
 pycodestyle               2.6.0              pyh9f0ad1d_0    conda-forge
 pycosat                   0.6.3           py38h497a2fe_1006    conda-forge
 pycparser                 2.20               pyh9f0ad1d_2    conda-forge
 pyct                      0.4.6                      py_0    conda-forge
 pyct-core                 0.4.6                      py_0    conda-forge
 pydata-sphinx-theme       0.6.3              pyhd8ed1ab_0    conda-forge
 pydeck                    0.5.0              pyh9f0ad1d_0    conda-forge
 pydocstyle                6.1.1              pyhd8ed1ab_0    conda-forge
 pyee                      8.1.0              pyh9f0ad1d_0    conda-forge
 pyflakes                  2.2.0              pyh9f0ad1d_0    conda-forge
 pygal                     3.0.0.dev1               pypi_0    pypi
 pygments                  2.10.0             pyhd8ed1ab_0    conda-forge
 pyhive                    0.6.4              pyhd8ed1ab_0    conda-forge
 pyjwt                     2.1.0              pyhd8ed1ab_0    conda-forge
 pylibcugraph              0+untagged.1.g54b8573          pypi_0    pypi
 pynndescent               0.5.4              pyh6c4a22f_0    conda-forge
 pynvml                    11.0.0             pyhd8ed1ab_0    conda-forge
 pyopenssl                 20.0.1             pyhd8ed1ab_0    conda-forge
 pyorc                     0.4.0            py38haf60add_5    conda-forge
 pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
 pyppeteer                 0.2.6              pyhd8ed1ab_0    conda-forge
 pyproj                    3.1.0            py38h4df08a6_4    conda-forge
 pyrsistent                0.17.3           py38h497a2fe_2    conda-forge
 pysocks                   1.7.1            py38h578d9bd_3    conda-forge
 pytest                    6.2.5            py38h578d9bd_0    conda-forge
 pytest-asyncio            0.12.0           py38h32f6830_2    conda-forge
 pytest-benchmark          3.4.1              pyhd8ed1ab_0    conda-forge
 pytest-cov                2.12.1             pyhd8ed1ab_0    conda-forge
 pytest-forked             1.3.0              pyhd3deb0d_0    conda-forge
 pytest-timeout            1.4.2              pyh9f0ad1d_0    conda-forge
 pytest-xdist              2.4.0              pyhd8ed1ab_0    conda-forge
 python                    3.8.12          hb7a2778_1_cpython    conda-forge
 python-confluent-kafka    1.6.0            py38h497a2fe_1    conda-forge
 python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge
 python-jose               3.3.0              pyh6c4a22f_1    conda-forge
 python-libarchive-c       3.1              py38h578d9bd_0    conda-forge
 python-louvain            0.15               pyhd3deb0d_0    conda-forge
 python-snappy             0.6.0            py38h49bdff1_0    conda-forge
 python_abi                3.8                      2_cp38    conda-forge
 pytz                      2021.1             pyhd8ed1ab_0    conda-forge
 pyu2f                     0.1.5              pyhd8ed1ab_0    conda-forge
 pyviz_comms               2.1.0              pyhd8ed1ab_0    conda-forge
 pywavelets                1.1.1            py38h6c62de6_3    conda-forge
 pyyaml                    5.4.1            py38h497a2fe_1    conda-forge
 pyzmq                     22.3.0           py38h2035c66_0    conda-forge
 rapidjson                 1.1.0             he1b5a44_1002    conda-forge
 re2                       2021.09.01           h9c3ff4c_0    conda-forge
 readline                  8.1                  h46c0cb4_0    conda-forge
 readme_renderer           27.0               pyh9f0ad1d_0    conda-forge
 recommonmark              0.7.1              pyhd8ed1ab_0    conda-forge
 regex                     2021.9.30        py38h497a2fe_0    conda-forge
 requests                  2.26.0             pyhd8ed1ab_0    conda-forge
 requests-oauthlib         1.3.0              pyh9f0ad1d_0    conda-forge
 requests-toolbelt         0.9.1                      py_0    conda-forge
 requests-unixsocket       0.2.0                      py_0    conda-forge
 responses                 0.14.0             pyhd8ed1ab_0    conda-forge
 rfc3986                   1.5.0              pyhd8ed1ab_0    conda-forge
 rhash                     1.4.1                h7f98852_0    conda-forge
 ripgrep                   13.0.0               habb4d0f_1    conda-forge
 rmm                       0+untagged.1.g12f82fb          pypi_0    pypi
 rsa                       4.7.2              pyh44b312d_0    conda-forge
 rtree                     0.9.7            py38h02d302b_2    conda-forge
 ruamel_yaml               0.15.80         py38h497a2fe_1004    conda-forge
 s2n                       1.0.10               h9b69904_0    conda-forge
 s3fs                      2021.9.0           pyhd8ed1ab_1    conda-forge
 s3transfer                0.4.2              pyhd8ed1ab_0    conda-forge
 sacremoses                0.0.43             pyh9f0ad1d_0    conda-forge
 scikit-image              0.18.3           py38h43a58ef_0    conda-forge
 scikit-learn              0.24.2           py38hacb3eff_1    conda-forge
 scipy                     1.6.0            py38hb2138dd_0    conda-forge
 seaborn                   0.11.2               hd8ed1ab_0    conda-forge
 seaborn-base              0.11.2             pyhd8ed1ab_0    conda-forge
 secretstorage             3.3.1            py38h578d9bd_0    conda-forge
 send2trash                1.8.0              pyhd8ed1ab_0    conda-forge
 setuptools                49.6.0           py38h578d9bd_3    conda-forge
 shapely                   1.7.1            py38hb7fe4a8_5    conda-forge
 shellcheck                0.7.2                ha770c72_1    conda-forge
 simpervisor               0.4                pyhd8ed1ab_0    conda-forge
 six                       1.16.0             pyh6c4a22f_0    conda-forge
 snappy                    1.1.8                he1b5a44_3    conda-forge
 sniffio                   1.2.0            py38h578d9bd_1    conda-forge
 snowballstemmer           2.1.0              pyhd8ed1ab_0    conda-forge
 sortedcontainers          2.4.0              pyhd8ed1ab_0    conda-forge
 soupsieve                 2.0.1                      py_1    conda-forge
 spdlog                    1.8.5                h4bd325d_0    conda-forge
 sphinx                    4.2.0              pyh6c4a22f_0    conda-forge
 sphinx-click              3.0.1              pyhd8ed1ab_0    conda-forge
 sphinx-copybutton         0.4.0              pyhd8ed1ab_0    conda-forge
 sphinx-markdown-tables    0.0.15             pyhd3deb0d_0    conda-forge
 sphinx_rtd_theme          1.0.0              pyhd8ed1ab_0    conda-forge
 sphinxcontrib-applehelp   1.0.2                      py_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_0    conda-forge
 sphinxcontrib-websupport  1.2.4              pyh9f0ad1d_0    conda-forge
 sqlalchemy                1.4.25           py38h497a2fe_0    conda-forge
 sqlite                    3.36.0               h9cd32fc_2    conda-forge
 sshpubkeys                3.1.0                      py_0    conda-forge
 statsmodels               0.12.2           py38h6c62de6_0    conda-forge
 streamz                   0.6.2              pyh44b312d_0    conda-forge
 tbb                       2020.2               h4bd325d_4    conda-forge
 tblib                     1.7.0              pyhd8ed1ab_0    conda-forge
 tenacity                  8.0.1                    pypi_0    pypi
 terminado                 0.12.1           py38h578d9bd_0    conda-forge
 testpath                  0.5.0              pyhd8ed1ab_0    conda-forge
 threadpoolctl             2.2.0              pyh8a188c0_0    conda-forge
 thrift                    0.14.0           py38h709712a_0    conda-forge
 thrift_sasl               0.4.3              pyhd8ed1ab_1    conda-forge
 tifffile                  2021.8.30          pyhd8ed1ab_0    conda-forge
 tiledb                    2.3.4                he87e0bf_0    conda-forge
 tk                        8.6.11               h27826a3_1    conda-forge
 tokenizers                0.10.3           py38hb63a372_1    conda-forge
 toml                      0.10.2             pyhd8ed1ab_0    conda-forge
 toolz                     0.11.1                     py_0    conda-forge
 tornado                   6.1              py38h497a2fe_1    conda-forge
 tqdm                      4.62.3             pyhd8ed1ab_0    conda-forge
 traitlets                 5.1.0              pyhd8ed1ab_0    conda-forge
 transformers              4.6.1              pyhd8ed1ab_0    conda-forge
 treelite                  2.1.0            py38hdd725b4_0    conda-forge
 treelite-runtime          2.1.0                    pypi_0    pypi
 twine                     3.4.2              pyhd8ed1ab_0    conda-forge
 typed-ast                 1.4.3            py38h497a2fe_0    conda-forge
 typing-extensions         3.10.0.2             hd8ed1ab_0    conda-forge
 typing_extensions         3.10.0.2           pyha770c72_0    conda-forge
 tzcode                    2021a                h7f98852_2    conda-forge
 tzdata                    2021a                he74cb21_1    conda-forge
 ucx                       1.11.1+gc58db6b      cuda11.2_0    rapidsai-nightly
 ucx-proc                  1.0.0                       gpu    rapidsai-nightly
 ucx-py                    0.22.0a210930   py38_gc58db6b_24    rapidsai-nightly
 umap-learn                0.5.1            py38h578d9bd_1    conda-forge
 urllib3                   1.26.7             pyhd8ed1ab_0    conda-forge
 wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
 webencodings              0.5.1                      py_1    conda-forge
 websocket-client          0.57.0           py38h578d9bd_4    conda-forge
 websockets                9.1              py38h497a2fe_0    conda-forge
 werkzeug                  2.0.1              pyhd8ed1ab_0    conda-forge
 wheel                     0.37.0             pyhd8ed1ab_1    conda-forge
 widgetsnbextension        3.5.1            py38h578d9bd_4    conda-forge
 wrapt                     1.12.1           py38h497a2fe_3    conda-forge
 xarray                    0.19.0             pyhd8ed1ab_1    conda-forge
 xerces-c                  3.2.3                h9d8b166_2    conda-forge
 xgboost                   1.4.2                    pypi_0    pypi
 xmltodict                 0.12.0                     py_0    conda-forge
 xorg-fixesproto           5.0               h7f98852_1002    conda-forge
 xorg-inputproto           2.3.2             h7f98852_1002    conda-forge
 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-libxfixes            5.0.3             h7f98852_1004    conda-forge
 xorg-libxi                1.7.10               h7f98852_0    conda-forge
 xorg-libxrender           0.9.10            h7f98852_1003    conda-forge
 xorg-libxtst              1.2.3             h7f98852_1002    conda-forge
 xorg-recordproto          1.14.2            h7f98852_1002    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                        5.2.5                h516909a_1    conda-forge
 yaml                      0.2.5                h516909a_0    conda-forge
 yarl                      1.6.3            py38h497a2fe_2    conda-forge
 zeromq                    4.3.4                h9c3ff4c_1    conda-forge
 zfp                       0.5.5                h9c3ff4c_7    conda-forge
 zict                      2.0.0                    pypi_0    pypi
 zipp                      3.5.0              pyhd8ed1ab_0    conda-forge
 zlib                      1.2.11            h36c2ea0_1011    conda-forge
 zstd                      1.5.0                ha95c52a_0    conda-forge

``

robomike commented 2 years ago

@Nanthini10 here is the env from my conda outside of the docker:

(rapids-21.08) robomike@robomike-Z10PE-D16-Series:~/code/wodmatic_gpu/Merlin/wodmatic/app/workouts$ sudo sh ./print_env.sh
Click here to see environment details

 **git***

./print_env.sh: 10: [: true: unexpected operator Not inside a git repository

 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=20.04
 DISTRIB_CODENAME=focal
 DISTRIB_DESCRIPTION="Ubuntu 20.04.2 LTS"
 NAME="Ubuntu"
 VERSION="20.04.2 LTS (Focal Fossa)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 20.04.2 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 robomike-Z10PE-D16-Series 5.4.0-88-generic #99-Ubuntu SMP Thu Sep 23 17:29:00 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux

 ***GPU Information***
 Tue Oct  5 18:04:22 2021
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 460.91.03    Driver Version: 460.91.03    CUDA Version: 11.2     |
 |-------------------------------+----------------------+----------------------+
 | 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  TITAN X (Pascal)    On   | 00000000:02:00.0  On |                  N/A |
 | 31%   50C    P8    19W / 250W |    871MiB / 12173MiB |     25%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   1  GeForce GTX 1080    On   | 00000000:81:00.0 Off |                  N/A |
 |  0%   45C    P8     6W / 180W |     11MiB /  8119MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+

 +-----------------------------------------------------------------------------+
 | Processes:                                                                  |
 |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
 |        ID   ID                                                   Usage      |
 |=============================================================================|
 |    0   N/A  N/A      8312      G   /usr/lib/xorg/Xorg                588MiB |
 |    0   N/A  N/A     14044      G   /usr/bin/compiz                    27MiB |
 |    0   N/A  N/A     16572      G   ...AAAAAAAAA= --shared-files        3MiB |
 |    0   N/A  N/A    520336      C   ...ffice/program/soffice.bin      135MiB |
 |    0   N/A  N/A    865813      G   ...AAAAAAAAA= --shared-files        3MiB |
 |    0   N/A  N/A   1536279      G   ...AAAAAAAAA= --shared-files       23MiB |
 |    0   N/A  N/A   1558473      G   ...AAAAAAAAA= --shared-files       27MiB |
 |    0   N/A  N/A   1558484      G   ...AAAAAAAAA= --shared-files       56MiB |
 |    1   N/A  N/A      8312      G   /usr/lib/xorg/Xorg                  6MiB |
 +-----------------------------------------------------------------------------+

 ***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):                          56
 On-line CPU(s) list:             0-55
 Thread(s) per core:              2
 Core(s) per socket:              14
 Socket(s):                       2
 NUMA node(s):                    2
 Vendor ID:                       GenuineIntel
 CPU family:                      6
 Model:                           63
 Model name:                      Genuine Intel(R) CPU @ 2.70GHz
 Stepping:                        2
 CPU MHz:                         1197.420
 CPU max MHz:                     3500.0000
 CPU min MHz:                     1200.0000
 BogoMIPS:                        5387.46
 Virtualization:                  VT-x
 L1d cache:                       896 KiB
 L1i cache:                       896 KiB
 L2 cache:                        7 MiB
 L3 cache:                        70 MiB
 NUMA node0 CPU(s):               0-13,28-41
 NUMA node1 CPU(s):               14-27,42-55
 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 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; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
 Vulnerability Srbds:             Not affected
 Vulnerability Tsx async abort:   Not affected
 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 cpuid_fault epb invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad 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

 ***CMake***
 /usr/bin/cmake
 cmake version 3.16.3

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

 ***g++***
 /usr/bin/g++
 g++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
 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***

 ***Python***
 /usr/bin/python
 Python 2.7.18

 ***Environment Variables***
 PATH                            : /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin
 LD_LIBRARY_PATH                 :
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    :
 PYTHON_PATH                     :

 ***conda packages***
 conda: not found

(rapids-21.08) robomike@robomike-Z10PE-D16-Series:~/code/wodmatic_gpu/Merlin/wodmatic/app/workouts$

github-actions[bot] commented 2 years ago

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This issue has been labeled inactive-90d due to no recent activity in the past 90 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.

aGiant commented 2 years ago

same issue with GTX1080 for SVM

File ~/anaconda3/envs/rapids/lib/python3.8/site-packages/cupy/_manipulation/add_remove.py:179, in unique(ar, return_index, return_inverse, returncounts, axis) 177 aux = ar[perm] 178 else: --> 179 ar.sort() 180 aux = ar 181 mask = cupy.empty(aux.shape, dtype=cupy.bool)

File cupy/_core/core.pyx:729, in cupy._core.core.ndarray.sort()

File cupy/_core/core.pyx:747, in cupy._core.core.ndarray.sort()

File cupy/_core/_routines_sorting.pyx:43, in cupy._core._routines_sorting._ndarray_sort()

File cupy/cuda/thrust.pyx:75, in cupy.cuda.thrust.sort()

RuntimeError: radix_sort: failed on 2nd step: cudaErrorInvalidValue: invalid argument

github-actions[bot] commented 2 years ago

This issue has been labeled inactive-90d due to no recent activity in the past 90 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.

relh commented 2 years ago

I have two machines with the same packages installed. I run the same code on both.

I only get this error on the machine with GTX 1080s. The machine with GTX 2080s doesn't generate this error.

minate called after throwing an instance of 'thrust::system::system_error'                           
  what():  radix_sort: failed on 2nd step: cudaErrorInvalidValue: invalid argument

I have no idea if it matters but I fixed it by running this:

mamba uninstall cupy cudnn cutensor nccl cub thrust rapids cuml

CUDA_ARCHITECTURES="50;61;72;75;80" mamba install -c rapidsai -c nvidia -c conda-forge cuml cudnn cupy cutensor nccl cub thrust rapids

rapidsai / cuml

[BUG] RuntimeError: radix_sort: failed on 2nd step: cudaErrorInvalidValue: invalid argument #4167