############################################################################## ############################################################################## ### ### Running command: ### ### chmod a+r ttgsea -R && C:\Users\biocbuild\bbs-3.20-bioc\R\bin\R.exe CMD build --keep-empty-dirs --no-resave-data ttgsea ### ############################################################################## ############################################################################## * checking for file 'ttgsea/DESCRIPTION' ... OK * preparing 'ttgsea': * checking DESCRIPTION meta-information ... OK * installing the package to build vignettes * creating vignettes ... ERROR --- re-building 'ttgsea.Rmd' using rmarkdown 2024-07-15 21:21:15.589228: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-07-15 21:21:16.559260: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-07-15 21:21:20.370981: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. C:\PYTHON~1\Lib\site-packages\keras\src\layers\core\embedding.py:90: UserWarning: Argument `input_length` is deprecated. Just remove it. warnings.warn( Quitting from lines 90-117 [unnamed-chunk-2] (ttgsea.Rmd) Error: processing vignette 'ttgsea.Rmd' failed with diagnostics: no applicable method for 'compile' applied to an object of class "c('keras.src.models.functional.Functional', 'keras.models.functional.Functional', 'keras.src.ops.function.Function', 'keras.ops.function.Function', 'keras.src.models.model.Model', 'keras.models.model.Model', 'keras.src.backend.tensorflow.trainer.TensorFlowTrainer', 'keras.backend.tensorflow.trainer.TensorFlowTrainer', 'keras.src.trainers.trainer.Trainer', 'keras.trainers.trainer.Trainer', 'keras.src.layers.layer.Layer', 'keras.layers.layer.Layer', 'keras.src.backend.tensorflow.layer.TFLayer', 'keras.backend.tensorflow.layer.TFLayer', 'keras.src.backend.tensorflow.trackable.KerasAutoTrackable', 'keras.backend.tensorflow.trackable.KerasAutoTrackable', 'tensorflow.python.trackable.autotrackable.AutoTrackable', 'tensorflow.python.trackable.base.Trackable', 'keras.src.ops.operation.Operation', 'keras.ops.operation.Operation', 'keras.src.saving.keras_saveable.KerasSaveable', 'keras.saving.keras_saveable.KerasSaveable', 'python.builtin.object')" --- failed re-building 'ttgsea.Rmd' SUMMARY: processing the following file failed: 'ttgsea.Rmd' Error: Vignette re-building failed. Execution halted