Closed LHentges closed 1 year ago
Tensorflow recommended install is via pip, moved tensorflow-cpu==2.10.0
into pip section
Creates a new error:
ModuleNotFoundError: No module named 'mkl'
Added mkl-service to conda dependencies.
Creates a new error:
-- Exception occured -- can't convert np.ndarray of type numpy.object_. The only supported types are: float64, float32, float16, complex64, complex128, int64, int32, int16, int8, uint8, and bool. <<< joined row computation process
I think this has to do with pandas 2.0.X
Fixed! Placed an upper bound of <2 for pandas.
Working version forked here: PRIDICT_conda_yml_fix.
Sent pull request to merge changes with main branch
Installation using a fresh conda env, using the pridict_linux.yml, on Ubuntu cluster
python pridict_pegRNA_design.py manual --sequence-name seq1 --sequence 'GCCTGGAGGTGTCTGGGTCCCTCCCCCACCCGACTACTTCACTCTCTGTCCTCTCTGCCCAGGAGCCCAGGATGTGCGAGTTCAAGTGGCTACGGCCGA(G/C)GTGCGAGGCCAGCTCGGGGGCACCGTGGAGCTGCCGTGCCACCTGCTGCCACCTGTTCCTGGACTGTACATCTCCCTGGTGACCTGGCAGCGCCCAGATGCACCTGCGAACCACCAGAATGTGGCCGC'
File ".../lib/python3.10/site-packages/tensorflow/python/pywrap_tensorflow.py", line 62, in
from tensorflow.python._pywrap_tensorflow_internal import
ImportError: libflatbuffers.so.2: cannot open shared object file: No such file or directory
from tensorflow.python._pywrap_tensorflow_internal import