| #!/bin/bash | |
| ## This gist contains instructions about cuda v11.2 and cudnn8.1 installation in Ubuntu 20.04 for Pytorch 1.8 & Tensorflow 2.7.0 | |
| ### steps #### | |
| # verify the system has a cuda-capable gpu | |
| # download and install the nvidia cuda toolkit and cudnn | |
| # setup environmental variables | |
| # verify the installation | |
| ### |
This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software
on an Ubuntu Linux system, in particular Ubuntu 20.04.
| def splitDataFrameList(df,target_column,separator): | |
| ''' df = dataframe to split, | |
| target_column = the column containing the values to split | |
| separator = the symbol used to perform the split | |
| returns: a dataframe with each entry for the target column separated, with each element moved into a new row. | |
| The values in the other columns are duplicated across the newly divided rows. | |
| ''' | |
| def splitListToRows(row,row_accumulator,target_column,separator): | |
| split_row = row[target_column].split(separator) |
