Task 32626592
| Name | e1a36-ABOU_sac_realrobot-0-1-RND0399_0 |
| Workunit | 27075732 |
| Created | 22 Jun 2021, 9:03:57 UTC |
| Sent | 22 Jun 2021, 9:10:05 UTC |
| Report deadline | 27 Jun 2021, 9:10:05 UTC |
| Received | 22 Jun 2021, 9:14:53 UTC |
| Server state | Over |
| Outcome | Computation error |
| Client state | Compute error |
| Exit status | 195 (0x000000C3) EXIT_CHILD_FAILED |
| Computer ID | 377927 |
| Run time | 2 min 44 sec |
| CPU time | 2 min 44 sec |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 9,334.99 GFLOPS |
| Application version | Anaconda Python 3 Environment v4.01 (cuda100) x86_64-pc-linux-gnu |
| Peak working set size | 0.00 MB |
| Peak swap size | 0.00 MB |
| Peak disk usage | 0.00 MB |
Stderr output
<core_client_version>7.16.6</core_client_version>
<![CDATA[
<message>
process exited with code 195 (0xc3, -61)</message>
<stderr_txt>
11:10:37 (3028924): wrapper (7.7.26016): starting
11:10:37 (3028924): wrapper (7.7.26016): starting
11:10:37 (3028924): wrapper: running /usr/bin/flock (/var/lib/boinc-client/projects/www.gpugrid.net/miniconda.lock -c "/bin/bash ./miniconda-installer.sh -b -u -p /var/lib/boinc-client/projects/www.gpugrid.net/miniconda &&
/var/lib/boinc-client/projects/www.gpugrid.net/miniconda/bin/conda install -m -y -p gpugridpy --file requirements.txt ")
0%| | 0/202 [00:00<?, ?it/s]
Extracting : multidict-5.1.0-py39h27cfd23_2.conda: 0%| | 0/202 [00:00<?, ?it/s]
Extracting : multidict-5.1.0-py39h27cfd23_2.conda: 0%| | 1/202 [00:00<00:28, 6.95it/s]
Extracting : cython-0.29.23-py39h2531618_0.conda: 0%| | 1/202 [00:00<00:28, 6.95it/s]
Extracting : cython-0.29.23-py39h2531618_0.conda: 1%| | 2/202 [00:00<00:26, 7.51it/s]
Extracting : typing-extensions-3.7.4.3-hd3eb1b0_0.conda: 1%| | 2/202 [00:00<00:26, 7.51it/s]
Extracting : termcolor-1.1.0-py37h06a4308_1.conda: 1%|1 | 3/202 [00:00<00:26, 7.51it/s]
Extracting : cudnn-7.6.5-cuda10.0_0.conda: 2%|1 | 4/202 [00:04<00:26, 7.51it/s]
Extracting : cudnn-7.6.5-cuda10.0_0.conda: 2%|2 | 5/202 [00:04<01:44, 1.88it/s]
Extracting : pycosat-0.6.3-py37h7b6447c_0.conda: 2%|2 | 5/202 [00:04<01:44, 1.88it/s]
Extracting : libtiff-4.1.0-h2733197_1.conda: 3%|2 | 6/202 [00:04<01:44, 1.88it/s]
Extracting : click-8.0.1-pyhd3eb1b0_0.conda: 3%|3 | 7/202 [00:04<01:43, 1.88it/s]
Extracting : pandas-1.2.1-py39ha9443f7_0.conda: 4%|3 | 8/202 [00:04<01:43, 1.88it/s]
Extracting : libedit-3.1.20181209-hc058e9b_0.conda: 4%|4 | 9/202 [00:04<01:42, 1.88it/s]
Extracting : setuptools-52.0.0-py39h06a4308_0.conda: 5%|4 | 10/202 [00:04<01:41, 1.88it/s]
Extracting : natsort-7.1.1-pyhd3eb1b0_0.conda: 5%|5 | 11/202 [00:04<01:41, 1.88it/s]
Extracting : pysocks-1.7.1-py37_0.conda: 6%|5 | 12/202 [00:04<01:40, 1.88it/s]
Extracting : protobuf-3.14.0-py37h2531618_1.conda: 6%|6 | 13/202 [00:04<01:40, 1.88it/s]
Extracting : requests-2.23.0-py37_0.conda: 7%|6 | 14/202 [00:04<01:39, 1.88it/s]
Extracting : certifi-2021.5.30-py37h06a4308_0.conda: 7%|7 | 15/202 [00:04<01:39, 1.88it/s]
Extracting : numpy-1.19.2-py37h54aff64_0.conda: 8%|7 | 16/202 [00:04<01:38, 1.88it/s]
Extracting : absl-py-0.12.0-py39h06a4308_0.conda: 8%|8 | 17/202 [00:04<01:38, 1.88it/s]
Extracting : libwebp-base-1.2.0-h27cfd23_0.conda: 9%|8 | 18/202 [00:04<01:37, 1.88it/s]
Extracting : rsa-4.7.2-pyhd3eb1b0_1.conda: 9%|9 | 19/202 [00:04<01:37, 1.88it/s]
Extracting : python-flatbuffers-1.12-pyhd3eb1b0_0.conda: 10%|9 | 20/202 [00:04<01:36, 1.88it/s]
Extracting : google-auth-1.30.1-pyhd3eb1b0_0.conda: 10%|# | 21/202 [00:04<01:36, 1.88it/s]
Extracting : pip-21.1.1-py37h06a4308_0.conda: 11%|# | 22/202 [00:04<01:35, 1.88it/s]
Extracting : async-timeout-3.0.1-py37h06a4308_0.conda: 11%|#1 | 23/202 [00:04<01:35, 1.88it/s]
Extracting : aiohttp-3.7.4-py39h27cfd23_1.conda: 12%|#1 | 24/202 [00:04<01:34, 1.88it/s]
Extracting : chardet-3.0.4-py39h06a4308_1003.conda: 12%|#2 | 25/202 [00:04<01:34, 1.88it/s]
Extracting : pytz-2021.1-pyhd3eb1b0_0.conda: 13%|#2 | 26/202 [00:04<01:33, 1.88it/s]
Extracting : yarl-1.6.3-py37h27cfd23_0.conda: 13%|#3 | 27/202 [00:04<01:32, 1.88it/s]
Extracting : olefile-0.46-py_0.conda: 14%|#3 | 28/202 [00:04<01:32, 1.88it/s]
Extracting : jpeg-9b-h024ee3a_2.conda: 14%|#4 | 29/202 [00:04<01:31, 1.88it/s]
Extracting : ca-certificates-2020.1.1-0.conda: 15%|#4 | 30/202 [00:04<01:31, 1.88it/s]
Extracting : readline-8.1-h27cfd23_0.conda: 15%|#5 | 31/202 [00:04<01:30, 1.88it/s]
Extracting : tensorflow-base-2.4.1-mkl_py37h43e0292_0.conda: 16%|#5 | 32/202 [00:05<01:30, 1.88it/s]
Extracting : tensorflow-base-2.4.1-mkl_py37h43e0292_0.conda: 16%|#6 | 33/202 [00:05<01:04, 2.63it/s]
Extracting : yarl-1.6.3-py39h27cfd23_0.conda: 16%|#6 | 33/202 [00:05<01:04, 2.63it/s]
Extracting : markdown-3.3.4-py39h06a4308_0.conda: 17%|#6 | 34/202 [00:05<01:03, 2.63it/s]
Extracting : pillow-8.2.0-py39he98fc37_0.conda: 17%|#7 | 35/202 [00:05<01:03, 2.63it/s]
Extracting : aiohttp-3.7.4-py37h27cfd23_1.conda: 18%|#7 | 36/202 [00:05<01:03, 2.63it/s]
Extracting : pip-21.1.2-py37h06a4308_0.conda: 18%|#8 | 37/202 [00:05<01:02, 2.63it/s]
Extracting : zlib-1.2.11-h7b6447c_3.conda: 19%|#8 | 38/202 [00:05<01:02, 2.63it/s]
Extracting : ninja-1.10.2-hff7bd54_1.conda: 19%|#9 | 39/202 [00:05<01:01, 2.63it/s]
Extracting : cython-0.29.23-py37h2531618_0.conda: 20%|#9 | 40/202 [00:05<01:01, 2.63it/s]
Extracting : opt_einsum-3.1.0-py_0.conda: 20%|## | 41/202 [00:05<01:01, 2.63it/s]
Extracting : scipy-1.6.2-py37h91f5cce_0.conda: 21%|## | 42/202 [00:05<01:00, 2.63it/s]
Extracting : astor-0.8.1-py37h06a4308_0.conda: 21%|##1 | 43/202 [00:05<01:00, 2.63it/s]
Extracting : cudatoolkit-10.0.130-0.conda: 22%|##1 | 44/202 [00:06<01:00, 2.63it/s]
Extracting : cudatoolkit-10.0.130-0.conda: 22%|##2 | 45/202 [00:06<00:45, 3.46it/s]
Extracting : urllib3-1.25.8-py37_0.conda: 22%|##2 | 45/202 [00:06<00:45, 3.46it/s]
Extracting : libprotobuf-3.14.0-h8c45485_0.conda: 23%|##2 | 46/202 [00:06<00:45, 3.46it/s]
Extracting : python-3.7.10-hdb3f193_0.conda: 23%|##3 | 47/202 [00:06<00:44, 3.46it/s]
Extracting : pytorch-1.3.1-cuda100py37h53c1284_0.conda: 24%|##3 | 48/202 [00:06<00:44, 3.46it/s]
Extracting : libgomp-9.3.0-h5101ec6_17.conda: 24%|##4 | 49/202 [00:06<00:44, 3.46it/s]
Extracting : wrapt-1.12.1-py37h7b6447c_1.conda: 25%|##4 | 50/202 [00:06<00:43, 3.46it/s]
Extracting : pycparser-2.20-py_0.conda: 25%|##5 | 51/202 [00:06<00:43, 3.46it/s]
Extracting : wheel-0.36.2-pyhd3eb1b0_0.conda: 26%|##5 | 52/202 [00:06<00:43, 3.46it/s]
Extracting : libmklml-2019.0.5-0.conda: 26%|##6 | 53/202 [00:06<00:43, 3.46it/s]
Extracting : libtiff-4.2.0-h85742a9_0.conda: 27%|##6 | 54/202 [00:06<00:42, 3.46it/s]
Extracting : pyasn1-0.4.8-py_0.conda: 27%|##7 | 55/202 [00:06<00:42, 3.46it/s]
Extracting : pyjwt-2.1.0-py39h06a4308_0.conda: 28%|##7 | 56/202 [00:06<00:42, 3.46it/s]
Extracting : pysocks-1.7.1-py39h06a4308_0.conda: 28%|##8 | 57/202 [00:06<00:41, 3.46it/s]
Extracting : mkl_random-1.0.2-py39h63df603_0.conda: 29%|##8 | 58/202 [00:06<00:41, 3.46it/s]
Extracting : blinker-1.4-py37h06a4308_0.conda: 29%|##9 | 59/202 [00:06<00:41, 3.46it/s]
Extracting : zipp-3.4.1-pyhd3eb1b0_0.conda: 30%|##9 | 60/202 [00:06<00:40, 3.46it/s]
Extracting : libgcc-ng-9.1.0-hdf63c60_0.conda: 30%|### | 61/202 [00:06<00:40, 3.46it/s]
Extracting : intel-openmp-2019.4-243.conda: 31%|### | 62/202 [00:06<00:40, 3.46it/s]
Extracting : lz4-3.1.3-py39h27cfd23_0.conda: 31%|###1 | 63/202 [00:06<00:40, 3.46it/s]
Extracting : cffi-1.14.5-py39h261ae71_0.conda: 32%|###1 | 64/202 [00:06<00:39, 3.46it/s]
Extracting : tensorboard-2.4.0-pyhc547734_0.conda: 32%|###2 | 65/202 [00:06<00:39, 3.46it/s]
Extracting : numpy-1.19.2-py39h89c1606_0.conda: 33%|###2 | 66/202 [00:06<00:39, 3.46it/s]
Extracting : typing_extensions-3.7.4.3-pyh06a4308_0.conda: 33%|###3 | 67/202 [00:06<00:38, 3.46it/s]
Extracting : cryptography-3.4.7-py37hd23ed53_0.conda: 34%|###3 | 68/202 [00:06<00:38, 3.46it/s]
Extracting : wheel-0.34.2-py37_0.conda: 34%|###4 | 69/202 [00:06<00:38, 3.46it/s]
Extracting : xz-5.2.5-h7b6447c_0.conda: 35%|###4 | 70/202 [00:06<00:38, 3.46it/s]
Extracting : certifi-2020.12.5-py37h06a4308_0.conda: 35%|###5 | 71/202 [00:06<00:37, 3.46it/s]
Extracting : cachetools-4.2.2-pyhd3eb1b0_0.conda: 36%|###5 | 72/202 [00:06<00:37, 3.46it/s]
Extracting : mkl_fft-1.3.0-py39h54f3939_0.conda: 36%|###6 | 73/202 [00:06<00:37, 3.46it/s]
Extracting : libffi-3.3-he6710b0_2.conda: 37%|###6 | 74/202 [00:06<00:36, 3.46it/s]
Extracting : six-1.14.0-py37_0.conda: 37%|###7 | 75/202 [00:06<00:36, 3.46it/s]
Extracting : pyopenssl-20.0.1-pyhd3eb1b0_1.conda: 38%|###7 | 76/202 [00:06<00:36, 3.46it/s]
Extracting : urllib3-1.26.4-pyhd3eb1b0_0.conda: 38%|###8 | 77/202 [00:06<00:36, 3.46it/s]
Extracting : python-3.7.7-hcff3b4d_5.conda: 39%|###8 | 78/202 [00:06<00:35, 3.46it/s]
Extracting : grpcio-1.36.1-py39h2157cd5_1.conda: 39%|###9 | 79/202 [00:06<00:35, 3.46it/s]
Extracting : libgfortran4-7.5.0-ha8ba4b0_17.conda: 40%|###9 | 80/202 [00:06<00:35, 3.46it/s]
Extracting : grpcio-1.36.1-py37h2157cd5_1.conda: 40%|#### | 81/202 [00:06<00:34, 3.46it/s]
Extracting : absl-py-0.12.0-py37h06a4308_0.conda: 41%|#### | 82/202 [00:06<00:34, 3.46it/s]
Extracting : hdf5-1.10.6-hb1b8bf9_0.conda: 41%|####1 | 83/202 [00:06<00:34, 3.46it/s]
Extracting : h5py-2.10.0-py39hec9cf62_0.conda: 42%|####1 | 84/202 [00:06<00:34, 3.46it/s]
Extracting : six-1.16.0-pyhd3eb1b0_0.conda: 42%|####2 | 85/202 [00:06<00:33, 3.46it/s]
Extracting : idna-2.9-py_1.conda: 43%|####2 | 86/202 [00:06<00:33, 3.46it/s]
Extracting : pyjwt-1.7.1-py37_0.conda: 43%|####3 | 87/202 [00:06<00:33, 3.46it/s]
Extracting : tensorboard-plugin-wit-1.6.0-py_0.conda: 44%|####3 | 88/202 [00:06<00:32, 3.46it/s]
Extracting : openssl-1.1.1k-h27cfd23_0.conda: 44%|####4 | 89/202 [00:06<00:32, 3.46it/s]
Extracting : tk-8.6.8-hbc83047_0.conda: 45%|####4 | 90/202 [00:06<00:32, 3.46it/s]
Extracting : zstd-1.4.9-haebb681_0.conda: 45%|####5 | 91/202 [00:06<00:32, 3.46it/s]
Extracting : mkl-service-2.3.0-py37he8ac12f_0.conda: 46%|####5 | 92/202 [00:06<00:31, 3.46it/s]
Extracting : chardet-3.0.4-py37_1003.conda: 46%|####6 | 93/202 [00:06<00:31, 3.46it/s]
Extracting : setuptools-52.0.0-py37h06a4308_0.conda: 47%|####6 | 94/202 [00:06<00:31, 3.46it/s]
Extracting : cffi-1.14.0-py37he30daa8_1.conda: 47%|####7 | 95/202 [00:06<00:30, 3.46it/s]
Extracting : lcms2-2.12-h3be6417_0.conda: 48%|####7 | 96/202 [00:06<00:30, 3.46it/s]
Extracting : c-ares-1.17.1-h27cfd23_0.conda: 48%|####8 | 97/202 [00:06<00:30, 3.46it/s]
Extracting : ld_impl_linux-64-2.35.1-h7274673_9.conda: 49%|####8 | 98/202 [00:06<00:30, 3.46it/s]
Extracting : markdown-3.3.4-py37h06a4308_0.conda: 49%|####9 | 99/202 [00:06<00:29, 3.46it/s]
Extracting : pycparser-2.20-py_2.conda: 50%|####9 | 100/202 [00:06<00:29, 3.46it/s]
Extracting : oauthlib-3.1.0-py_0.conda: 50%|##### | 101/202 [00:06<00:29, 3.46it/s]
Extracting : opt_einsum-3.3.0-pyhd3eb1b0_1.conda: 50%|##### | 102/202 [00:06<00:28, 3.46it/s]
Extracting : ld_impl_linux-64-2.33.1-h53a641e_7.conda: 51%|##### | 103/202 [00:06<00:28, 3.46it/s]
Extracting : scipy-1.6.2-py39h91f5cce_0.conda: 51%|#####1 | 104/202 [00:06<00:28, 3.46it/s]
Extracting : tensorflow-estimator-2.5.0-pyh7b7c402_0.conda: 52%|#####1 | 105/202 [00:06<00:28, 3.46it/s]
Extracting : tqdm-4.46.0-py_0.conda: 52%|#####2 | 106/202 [00:06<00:27, 3.46it/s]
Extracting : torchvision-0.4.2-cuda100py37hecfc37a_0.conda: 53%|#####2 | 107/202 [00:06<00:27, 3.46it/s]
Extracting : freetype-2.10.4-h5ab3b9f_0.conda: 53%|#####3 | 108/202 [00:06<00:27, 3.46it/s]
Extracting : pip-21.0.1-py37h06a4308_0.conda: 54%|#####3 | 109/202 [00:06<00:26, 3.46it/s]
Extracting : google-auth-oauthlib-0.4.1-py_2.conda: 54%|#####4 | 110/202 [00:06<00:26, 3.46it/s]
Extracting : tensorflow-2.4.1-mkl_py37h2d14ff2_0.conda: 55%|#####4 | 111/202 [00:06<00:26, 3.46it/s]
Extracting : async-timeout-3.0.1-py39h06a4308_0.conda: 55%|#####5 | 112/202 [00:06<00:25, 3.46it/s]
Extracting : ruamel_yaml-0.15.87-py37h7b6447c_0.conda: 56%|#####5 | 113/202 [00:06<00:25, 3.46it/s]
Extracting : sqlite-3.35.4-hdfb4753_0.conda: 56%|#####6 | 114/202 [00:06<00:25, 3.46it/s]
Extracting : _pytorch_select-0.2-gpu_0.conda: 57%|#####6 | 115/202 [00:06<00:25, 3.46it/s]
Extracting : six-1.15.0-py37h06a4308_0.conda: 57%|#####7 | 116/202 [00:06<00:24, 3.46it/s]
Extracting : coverage-5.5-py39h27cfd23_2.conda: 58%|#####7 | 117/202 [00:06<00:24, 3.46it/s]
Extracting : mkl_random-1.1.1-py37h0573a6f_0.conda: 58%|#####8 | 118/202 [00:06<00:24, 3.46it/s]
Extracting : pillow-8.2.0-py37he98fc37_0.conda: 59%|#####8 | 119/202 [00:06<00:23, 3.46it/s]
Extracting : cffi-1.14.5-py37h261ae71_0.conda: 59%|#####9 | 120/202 [00:06<00:23, 3.46it/s]
Extracting : conda-package-handling-1.6.1-py37h7b6447c_0.conda: 60%|#####9 | 121/202 [00:06<00:23, 3.46it/s]
Extracting : importlib-metadata-3.10.0-py37h06a4308_0.conda: 60%|###### | 122/202 [00:06<00:23, 3.46it/s]
Extracting : pytorch-1.7.1-cpu_py39h6a09485_0.conda: 61%|###### | 123/202 [00:06<00:22, 3.46it/s]
Extracting : pip-20.0.2-py37_3.conda: 61%|######1 | 124/202 [00:06<00:22, 3.46it/s]
Extracting : google-auth-oauthlib-0.4.4-pyhd3eb1b0_0.conda: 62%|######1 | 125/202 [00:06<00:22, 3.46it/s]
Extracting : tensorflow-base-2.4.1-mkl_py39h43e0292_0.conda: 62%|######2 | 126/202 [00:06<00:21, 3.46it/s]
Extracting : h5py-2.10.0-py37hd6299e0_1.conda: 63%|######2 | 127/202 [00:06<00:21, 3.46it/s]
Extracting : chardet-3.0.4-py37h06a4308_1003.conda: 63%|######3 | 128/202 [00:06<00:21, 3.46it/s]
Extracting : tensorboard-2.5.0-py_0.conda: 64%|######3 | 129/202 [00:06<00:21, 3.46it/s]
Extracting : cryptography-2.9.2-py37h1ba5d50_0.conda: 64%|######4 | 130/202 [00:06<00:20, 3.46it/s]
Extracting : tensorflow-2.4.1-mkl_py39h4683426_0.conda: 65%|######4 | 131/202 [00:06<00:20, 3.46it/s]
Extracting : blas-1.0-mkl.conda: 65%|######5 | 132/202 [00:06<00:20, 3.46it/s]
Extracting : numpy-base-1.19.2-py37hfa32c7d_0.conda: 66%|######5 | 133/202 [00:06<00:19, 3.46it/s]
Extracting : pytorch-1.7.1-cpu_py37h6a09485_0.conda: 66%|######6 | 134/202 [00:06<00:19, 3.46it/s]
Extracting : tk-8.6.10-hbc83047_0.conda: 67%|######6 | 135/202 [00:06<00:19, 3.46it/s]
Extracting : torchvision-0.8.2-cpu_py39ha229d99_0.conda: 67%|######7 | 136/202 [00:06<00:19, 3.46it/s]
Extracting : blinker-1.4-py39h06a4308_0.conda: 68%|######7 | 137/202 [00:06<00:18, 3.46it/s]
Extracting : ncurses-6.2-he6710b0_1.conda: 68%|######8 | 138/202 [00:06<00:18, 3.46it/s]
Extracting : protobuf-3.14.0-py39h2531618_1.conda: 69%|######8 | 139/202 [00:06<00:18, 3.46it/s]
Extracting : torchvision-0.8.2-cpu_py37ha229d99_0.conda: 69%|######9 | 140/202 [00:06<00:17, 3.46it/s]
Extracting : libstdcxx-ng-9.1.0-hdf63c60_0.conda: 70%|######9 | 141/202 [00:06<00:17, 3.46it/s]
Extracting : six-1.15.0-py39h06a4308_0.conda: 70%|####### | 142/202 [00:06<00:17, 3.46it/s]
Extracting : wrapt-1.12.1-py39he8ac12f_1.conda: 71%|####### | 143/202 [00:06<00:17, 3.46it/s]
Extracting : pyasn1-modules-0.2.8-py_0.conda: 71%|#######1 | 144/202 [00:06<00:16, 3.46it/s]
Extracting : lz4-c-1.9.3-h2531618_0.conda: 72%|#######1 | 145/202 [00:06<00:16, 3.46it/s]
Extracting : libgfortran-ng-7.5.0-ha8ba4b0_17.conda: 72%|#######2 | 146/202 [00:06<00:16, 3.46it/s]
Extracting : requests-oauthlib-1.3.0-py_0.conda: 73%|#######2 | 147/202 [00:06<00:15, 3.46it/s]
Extracting : ca-certificates-2021.5.25-h06a4308_1.conda: 73%|#######3 | 148/202 [00:06<00:15, 3.46it/s]
Extracting : astor-0.8.1-py39h06a4308_0.conda: 74%|#######3 | 149/202 [00:06<00:15, 3.46it/s]
Extracting : setuptools-46.4.0-py37_0.conda: 74%|#######4 | 150/202 [00:06<00:15, 3.46it/s]
Extracting : pyopenssl-19.1.0-py37_0.conda: 75%|#######4 | 151/202 [00:06<00:14, 3.46it/s]
Extracting : cryptography-3.4.7-py39hd23ed53_0.conda: 75%|#######5 | 152/202 [00:06<00:14, 3.46it/s]
Extracting : multidict-5.1.0-py37h27cfd23_2.conda: 76%|#######5 | 153/202 [00:06<00:14, 3.46it/s]
Extracting : certifi-2020.4.5.1-py37_0.conda: 76%|#######6 | 154/202 [00:06<00:13, 3.46it/s]
Extracting : tensorflow-estimator-2.4.1-pyheb71bc4_0.conda: 77%|#######6 | 155/202 [00:06<00:13, 3.46it/s]
Extracting : pandas-1.2.1-py37ha9443f7_0.conda: 77%|#######7 | 156/202 [00:06<00:13, 3.46it/s]
Extracting : ca-certificates-2021.4.13-h06a4308_1.conda: 78%|#######7 | 157/202 [00:06<00:12, 3.46it/s]
Extracting : requests-2.25.1-pyhd3eb1b0_0.conda: 78%|#######8 | 158/202 [00:06<00:12, 3.46it/s]
Extracting : click-8.0.0-pyhd3eb1b0_0.conda: 79%|#######8 | 159/202 [00:06<00:12, 3.46it/s]
Extracting : brotlipy-0.7.0-py39h27cfd23_1003.conda: 79%|#######9 | 160/202 [00:06<00:12, 3.46it/s]
Extracting : mkl_fft-1.3.0-py37h54f3939_0.conda: 80%|#######9 | 161/202 [00:06<00:11, 3.46it/s]
Extracting : google-auth-1.30.0-pyhd3eb1b0_0.conda: 80%|######## | 162/202 [00:06<00:11, 3.46it/s]
Extracting : _tflow_select-2.3.0-mkl.conda: 81%|######## | 163/202 [00:06<00:11, 3.46it/s]
Extracting : lz4-3.1.3-py37h27cfd23_0.conda: 81%|########1 | 164/202 [00:06<00:10, 3.46it/s]
Extracting : google-auth-1.31.0-pyhd3eb1b0_0.conda: 82%|########1 | 165/202 [00:06<00:10, 3.46it/s]
Extracting : intel-openmp-2021.2.0-h06a4308_610.conda: 82%|########2 | 166/202 [00:06<00:10, 3.46it/s]
Extracting : astunparse-1.6.3-py_0.conda: 83%|########2 | 167/202 [00:06<00:10, 3.46it/s]
Extracting : pysocks-1.7.1-py37_1.conda: 83%|########3 | 168/202 [00:06<00:09, 3.46it/s]
Extracting : sqlite-3.31.1-h62c20be_1.conda: 84%|########3 | 169/202 [00:06<00:09, 3.46it/s]
Extracting : attrs-21.2.0-pyhd3eb1b0_0.conda: 84%|########4 | 170/202 [00:06<00:09, 3.46it/s]
Extracting : libgfortran-ng-7.3.0-hdf63c60_0.conda: 85%|########4 | 171/202 [00:06<00:08, 3.46it/s]
Extracting : libgcc-ng-9.3.0-h5101ec6_17.conda: 85%|########5 | 172/202 [00:06<00:08, 3.46it/s]
Extracting : python-3.9.5-hdb3f193_3.conda: 86%|########5 | 173/202 [00:06<00:08, 3.46it/s]
Extracting : termcolor-1.1.0-py39h06a4308_1.conda: 86%|########6 | 174/202 [00:06<00:08, 3.46it/s]
Extracting : _libgcc_mutex-0.1-main.conda: 87%|########6 | 175/202 [00:06<00:07, 3.46it/s]
Extracting : libpng-1.6.37-hbc83047_0.conda: 87%|########7 | 176/202 [00:06<00:07, 3.46it/s]
Extracting : openssl-1.1.1g-h7b6447c_0.conda: 88%|########7 | 177/202 [00:06<00:07, 3.46it/s]
Extracting : olefile-0.46-py37_0.conda: 88%|########8 | 178/202 [00:06<00:06, 3.46it/s]
Extracting : google-pasta-0.2.0-py_0.conda: 89%|########8 | 179/202 [00:06<00:06, 3.46it/s]
Extracting : gast-0.4.0-py_0.conda: 89%|########9 | 180/202 [00:06<00:06, 3.46it/s]
Extracting : yaml-0.1.7-had09818_2.conda: 90%|########9 | 181/202 [00:06<00:06, 3.46it/s]
Extracting : numpy-base-1.19.2-py39h2ae0177_0.conda: 90%|######### | 182/202 [00:06<00:05, 3.46it/s]
Extracting : certifi-2021.5.30-py39h06a4308_0.conda: 91%|######### | 183/202 [00:06<00:05, 3.46it/s]
Extracting : mkl-2020.2-256.conda: 91%|#########1| 184/202 [00:06<00:05, 3.46it/s]
Extracting : libffi-3.3-he6710b0_1.conda: 92%|#########1| 185/202 [00:06<00:04, 3.46it/s]
Extracting : mkl-service-2.3.0-py39he8ac12f_0.conda: 92%|#########2| 186/202 [00:06<00:04, 3.46it/s]
Extracting : importlib-metadata-3.10.0-py39h06a4308_0.conda: 93%|#########2| 187/202 [00:06<00:04, 3.46it/s]
Extracting : readline-8.0-h7b6447c_0.conda: 93%|#########3| 188/202 [00:06<00:04, 3.46it/s]
Extracting : keras-preprocessing-1.1.2-pyhd3eb1b0_0.conda: 94%|#########3| 189/202 [00:06<00:03, 3.46it/s]
Extracting : libstdcxx-ng-9.3.0-hd4cf53a_17.conda: 94%|#########4| 190/202 [00:06<00:03, 3.46it/s]
Extracting : coverage-5.5-py37h27cfd23_2.conda: 95%|#########4| 191/202 [00:06<00:03, 3.46it/s]
Extracting : brotlipy-0.7.0-py37h27cfd23_1003.conda: 95%|#########5| 192/202 [00:06<00:02, 3.46it/s]
Extracting : tzdata-2020f-h52ac0ba_0.conda: 96%|#########5| 193/202 [00:06<00:02, 3.46it/s]
Extracting : pip-21.1.1-py39h06a4308_0.conda: 96%|#########6| 194/202 [00:06<00:02, 3.46it/s]
Extracting : _pytorch_select-0.1-cpu_0.conda: 97%|#########6| 195/202 [00:06<00:02, 3.46it/s]
Extracting : python-3.7.10-h12debd9_4.tar.bz2: 97%|#########7| 196/202 [00:08<00:01, 3.46it/s]
Extracting : python-3.7.10-h12debd9_4.tar.bz2: 98%|#########7| 197/202 [00:08<00:01, 4.83it/s]
Extracting : _openmp_mutex-4.5-1_gnu.tar.bz2: 98%|#########7| 197/202 [00:08<00:01, 4.83it/s]
Extracting : idna-2.10-pyhd3eb1b0_0.tar.bz2: 98%|#########8| 198/202 [00:08<00:00, 4.83it/s]
Extracting : werkzeug-1.0.1-pyhd3eb1b0_0.tar.bz2: 99%|#########8| 199/202 [00:08<00:00, 4.83it/s]
Extracting : conda-4.8.3-py37_0.tar.bz2: 99%|#########9| 200/202 [00:08<00:00, 4.83it/s]
Extracting : python-dateutil-2.8.1-pyhd3eb1b0_0.tar.bz2: 100%|#########9| 201/202 [00:08<00:00, 4.83it/s]
==> WARNING: A newer version of conda exists. <==
current version: 4.8.3
latest version: 4.10.1
Please update conda by running
$ conda update -n base -c defaults conda
11:11:22 (3028924): /usr/bin/flock exited; CPU time 58.866420
11:11:22 (3028924): wrapper: running ./gpugridpy/bin/python (run.py)
==> WARNING: A newer version of conda exists. <==
current version: 4.8.3
latest version: 4.10.1
Please update conda by running
$ conda update -n base -c defaults conda
InvalidArchiveError("Error with archive /var/lib/boinc-client/projects/www.gpugrid.net/miniconda/pkgs/boost-cpp-1.74.0-h312852a_4.tar.bz2. You probably need to delete and re-download or re-create this file. Message from libarchive was:\n\nFailed to create dir 'include'")
Traceback (most recent call last):
File "run.py", line 11, in <module>
conda_forge_install("pinocchio==2.6.0")
File "run.py", line 8, in conda_forge_install
def conda_forge_install(package): subprocess.check_call(["conda", "install", "-y", "-c", "conda-forge", package])
File "/var/lib/boinc-client/slots/3/gpugridpy/lib/python3.8/subprocess.py", line 364, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['conda', 'install', '-y', '-c', 'conda-forge', 'pinocchio==2.6.0']' returned non-zero exit status 1.
11:13:19 (3028924): ./gpugridpy/bin/python exited; CPU time 108.019409
11:13:19 (3028924): app exit status: 0x1
11:13:19 (3028924): called boinc_finish(195)
</stderr_txt>
]]>
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