Back to Build/check report for BioC 3.17 |
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This page was generated on 2023-01-29 16:34:20 -0000 (Sun, 29 Jan 2023).
Hostname | OS | Arch (*) | R version | Installed pkgs |
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kunpeng1 | Linux (Ubuntu 22.04.1 LTS) | aarch64 | R Under development (unstable) (2023-01-14 r83615) -- "Unsuffered Consequences" | 4021 |
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To the developers/maintainers of the VAExprs package: - Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/VAExprs.git to reflect on this report. See How and When does the builder pull? When will my changes propagate? for more information. - Make sure to use the following settings in order to reproduce any error or warning you see on this page. |
Package 2109/2162 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
VAExprs 1.5.0 (landing page) Dongmin Jung
| kunpeng1 | Linux (Ubuntu 22.04.1 LTS) / aarch64 | OK | ERROR | skipped | |||||||||
Package: VAExprs |
Version: 1.5.0 |
Command: /home/biocbuild/bbs-3.17-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data VAExprs |
StartedAt: 2023-01-28 16:35:09 -0000 (Sat, 28 Jan 2023) |
EndedAt: 2023-01-28 16:38:19 -0000 (Sat, 28 Jan 2023) |
EllapsedTime: 189.7 seconds |
RetCode: 1 |
Status: ERROR |
PackageFile: None |
PackageFileSize: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.17-bioc/R/bin/R CMD build --keep-empty-dirs --no-resave-data VAExprs ### ############################################################################## ############################################################################## * checking for file ‘VAExprs/DESCRIPTION’ ... OK * preparing ‘VAExprs’: * checking DESCRIPTION meta-information ... OK * installing the package to build vignettes * creating vignettes ... ERROR --- re-building ‘VAExprs.Rmd’ using rmarkdown /usr/local/lib/python3.10/dist-packages/tensorflow_io/python/ops/__init__.py:98: UserWarning: unable to load libtensorflow_io_plugins.so: unable to open file: libtensorflow_io_plugins.so, from paths: ['/usr/local/lib/python3.10/dist-packages/tensorflow_io/python/ops/libtensorflow_io_plugins.so'] caused by: ["[Errno 2] The file to load file system plugin from does not exist.: '/usr/local/lib/python3.10/dist-packages/tensorflow_io/python/ops/libtensorflow_io_plugins.so'"] warnings.warn(f"unable to load libtensorflow_io_plugins.so: {e}") /usr/local/lib/python3.10/dist-packages/tensorflow_io/python/ops/__init__.py:104: UserWarning: file system plugins are not loaded: unable to open file: libtensorflow_io.so, from paths: ['/usr/local/lib/python3.10/dist-packages/tensorflow_io/python/ops/libtensorflow_io.so'] caused by: ['/usr/local/lib/python3.10/dist-packages/tensorflow_io/python/ops/libtensorflow_io.so: cannot open shared object file: No such file or directory'] warnings.warn(f"file system plugins are not loaded: {e}") Train on 300 samples, validate on 300 samples Epoch 1/100 WARNING:tensorflow:OMP_NUM_THREADS is no longer used by the default Keras config. To configure the number of threads, use tf.config.threading APIs. 2023-01-28 16:36:11.371570: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:357] MLIR V1 optimization pass is not enabled 2023-01-28 16:36:11.427569: W tensorflow/c/c_api.cc:291] Operation '{name:'training/Adam/z_log_stddev/bias/m/Assign' id:490 op device:{requested: '', assigned: ''} def:{{{node training/Adam/z_log_stddev/bias/m/Assign}} = AssignVariableOp[_has_manual_control_dependencies=true, dtype=DT_FLOAT, validate_shape=false](training/Adam/z_log_stddev/bias/m, training/Adam/z_log_stddev/bias/m/Initializer/zeros)}}' was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don't modify nodes after running them or create a new session. /usr/local/lib/python3.10/dist-packages/keras/engine/training_v1.py:2333: UserWarning: `Model.state_updates` will be removed in a future version. This property should not be used in TensorFlow 2.0, as `updates` are applied automatically. updates = self.state_updates 2023-01-28 16:36:11.849529: W tensorflow/c/c_api.cc:291] Operation '{name:'loss/mul' id:210 op device:{requested: '', assigned: ''} def:{{{node loss/mul}} = Mul[T=DT_FLOAT, _has_manual_control_dependencies=true](loss/mul/x, loss/dense_2_loss/value)}}' was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don't modify nodes after running them or create a new session. Epoch 2/100 Epoch 3/100 Epoch 4/100 Epoch 5/100 Epoch 6/100 Epoch 7/100 Epoch 8/100 Epoch 9/100 Epoch 10/100 Epoch 11/100 Epoch 12/100 Epoch 13/100 Epoch 14/100 Epoch 15/100 Epoch 16/100 Epoch 17/100 Epoch 18/100 Epoch 19/100 Epoch 20/100 Epoch 21/100 Epoch 22/100 Epoch 23/100 Epoch 24/100 Epoch 25/100 Epoch 26/100 Epoch 27/100 Epoch 28/100 Epoch 29/100 Epoch 30/100 Epoch 31/100 Epoch 32/100 Epoch 33/100 Epoch 34/100 Epoch 35/100 Epoch 36/100 Epoch 37/100 Epoch 38/100 Epoch 39/100 Epoch 40/100 Epoch 41/100 Epoch 42/100 Epoch 43/100 Epoch 44/100 Epoch 45/100 Epoch 46/100 Epoch 47/100 Epoch 48/100 Epoch 49/100 Epoch 50/100 Epoch 51/100 Epoch 52/100 Epoch 53/100 Epoch 54/100 Epoch 55/100 Epoch 56/100 Epoch 57/100 Epoch 58/100 Epoch 59/100 Epoch 60/100 Epoch 61/100 Epoch 62/100 Epoch 63/100 Epoch 64/100 Epoch 65/100 Epoch 66/100 Epoch 67/100 Epoch 68/100 Epoch 69/100 Epoch 70/100 Epoch 71/100 Epoch 72/100 Epoch 73/100 Epoch 74/100 Epoch 75/100 Epoch 76/100 Epoch 77/100 Epoch 78/100 Epoch 79/100 Epoch 80/100 Epoch 81/100 Epoch 82/100 Epoch 83/100 Epoch 84/100 Epoch 85/100 Epoch 86/100 Epoch 87/100 Epoch 88/100 Epoch 89/100 Epoch 90/100 Epoch 91/100 Epoch 92/100 Epoch 93/100 Epoch 94/100 Epoch 95/100 Epoch 96/100 Epoch 97/100 Epoch 98/100 Epoch 99/100 Epoch 100/100 /usr/local/lib/python3.10/dist-packages/keras/engine/training_v1.py:2357: UserWarning: `Model.state_updates` will be removed in a future version. This property should not be used in TensorFlow 2.0, as `updates` are applied automatically. updates=self.state_updates, 2023-01-28 16:36:29.558590: W tensorflow/c/c_api.cc:291] Operation '{name:'z_mean/BiasAdd' id:49 op device:{requested: '', assigned: ''} def:{{{node z_mean/BiasAdd}} = BiasAdd[T=DT_FLOAT, _has_manual_control_dependencies=true, data_format="NHWC"](z_mean/MatMul, z_mean/BiasAdd/ReadVariableOp)}}' was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don't modify nodes after running them or create a new session. 2023-01-28 16:36:30.912168: W tensorflow/c/c_api.cc:291] Operation '{name:'dense_2_1/Sigmoid' id:147 op device:{requested: '', assigned: ''} def:{{{node dense_2_1/Sigmoid}} = Sigmoid[T=DT_FLOAT, _has_manual_control_dependencies=true](dense_2_1/BiasAdd)}}' was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don't modify nodes after running them or create a new session. Epoch 1/100 2023-01-28 16:36:51.548654: W tensorflow/c/c_api.cc:291] Operation '{name:'training_2/Adam/dense_4/bias/v/Assign' id:1228 op device:{requested: '', assigned: ''} def:{{{node training_2/Adam/dense_4/bias/v/Assign}} = AssignVariableOp[_has_manual_control_dependencies=true, dtype=DT_FLOAT, validate_shape=false](training_2/Adam/dense_4/bias/v, training_2/Adam/dense_4/bias/v/Initializer/zeros)}}' was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don't modify nodes after running them or create a new session. Epoch 2/100 Epoch 3/100 Epoch 4/100 Epoch 5/100 Epoch 6/100 Epoch 7/100 Epoch 8/100 Epoch 9/100 Epoch 10/100 Epoch 11/100 Epoch 12/100 Epoch 13/100 Epoch 14/100 Epoch 15/100 Epoch 16/100 Epoch 17/100 Epoch 18/100 Epoch 19/100 Epoch 20/100 Epoch 21/100 Epoch 22/100 Epoch 23/100 Epoch 24/100 Epoch 25/100 Epoch 26/100 Epoch 27/100 Epoch 28/100 Epoch 29/100 Epoch 30/100 Epoch 31/100 Epoch 32/100 Epoch 33/100 Epoch 34/100 Epoch 35/100 Epoch 36/100 Epoch 37/100 Epoch 38/100 Epoch 39/100 Epoch 40/100 Epoch 41/100 Epoch 42/100 Epoch 43/100 Epoch 44/100 Epoch 45/100 Epoch 46/100 Epoch 47/100 Epoch 48/100 Epoch 49/100 Epoch 50/100 Epoch 51/100 Epoch 52/100 Epoch 53/100 Epoch 54/100 Epoch 55/100 Epoch 56/100 Epoch 57/100 Epoch 58/100 Epoch 59/100 Epoch 60/100 Epoch 61/100 Epoch 62/100 Epoch 63/100 Epoch 64/100 Epoch 65/100 Epoch 66/100 Epoch 67/100 Epoch 68/100 Epoch 69/100 Epoch 70/100 Epoch 71/100 Epoch 72/100 Epoch 73/100 Epoch 74/100 Epoch 75/100 Epoch 76/100 Epoch 77/100 Epoch 78/100 Epoch 79/100 Epoch 80/100 Epoch 81/100 Epoch 82/100 Epoch 83/100 Epoch 84/100 Epoch 85/100 Epoch 86/100 Epoch 87/100 Epoch 88/100 Epoch 89/100 Epoch 90/100 Epoch 91/100 Epoch 92/100 Epoch 93/100 Epoch 94/100 Epoch 95/100 Epoch 96/100 Epoch 97/100 Epoch 98/100 Epoch 99/100 Epoch 100/100 /usr/local/lib/python3.10/dist-packages/keras/engine/training_v1.py:2357: UserWarning: `Model.state_updates` will be removed in a future version. This property should not be used in TensorFlow 2.0, as `updates` are applied automatically. updates=self.state_updates, 2023-01-28 16:38:07.318151: W tensorflow/c/c_api.cc:291] Operation '{name:'z_mean_1/BiasAdd' id:718 op device:{requested: '', assigned: ''} def:{{{node z_mean_1/BiasAdd}} = BiasAdd[T=DT_FLOAT, _has_manual_control_dependencies=true, data_format="NHWC"](z_mean_1/MatMul, z_mean_1/BiasAdd/ReadVariableOp)}}' was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don't modify nodes after running them or create a new session. 2023-01-28 16:38:08.107341: W tensorflow/c/c_api.cc:291] Operation '{name:'dense_5_1/Sigmoid' id:818 op device:{requested: '', assigned: ''} def:{{{node dense_5_1/Sigmoid}} = Sigmoid[T=DT_FLOAT, _has_manual_control_dependencies=true](dense_5_1/BiasAdd)}}' was changed by setting attribute after it was run by a session. This mutation will have no effect, and will trigger an error in the future. Either don't modify nodes after running them or create a new session. Killed