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| how_to [2023/10/31 14:05] – [Supercharge your YouTube experience and minimize ads?] admin | how_to [2024/01/24 17:14] – [Measure memory used by GPUa?] habil |
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| | ==== Measure memory used by GPUs? ==== |
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| | Use ''torch.cuda.[[https://pytorch.org/blog/understanding-gpu-memory-1/?hss_channel=tw-776585502606721024|memory]]'' , e.g., to discover the effect of clearing gradients at the end of each [[https://towardsdatascience.com/epoch-vs-iterations-vs-batch-size-4dfb9c7ce9c9|iteration]]. With ignite, this can be done using an event handler that calls ''optimizer.[[https://stackoverflow.com/questions/48001598/why-do-we-need-to-call-zero-grad-in-pytorch|zero_grad]](set_to_none=True)''.'' '' |
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| ==== Analyze multiomicds data? ==== | ==== Analyze multiomicds data? ==== |
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| Use [[https://cran.r-project.org/web/packages/openxlsx/index.html|openxlsx]] package to read, write and edit xlsx files in R. Package's integration with C++ makes it faster and easier to use. Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java. | Use [[https://cran.r-project.org/web/packages/openxlsx/index.html|openxlsx]] package to read, write and edit xlsx files in R. Package's integration with C++ makes it faster and easier to use. Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java. |
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| <code> | <code> |
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| E.g. Writing four dataframes in four sheets of excel workbook can be done as follows: | E.g. Writing four dataframes in four sheets of excel workbook can be done as follows: |
| library(openxlsx) | library(openxlsx) |
| writeData(wb=w1, sheet="New", mtcars[,1:3]) | writeData(wb=w1, sheet="New", mtcars[,1:3]) |
| saveWorkbook(w1, file=xlsFile, overwrite=TRUE) | saveWorkbook(w1, file=xlsFile, overwrite=TRUE) |
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| | ## Read a sheet in a data frame: |
| | r1 <- read.xlsx(xlsxFile=xlsFile, sheet="Second") |
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| </code> | </code> |
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| ==== Set local mirror for Rscript ==== | ==== Set local mirror for Rscript ==== |
