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Showing posts with the label Memory
Memory Error In Instantiating The Numpy Array

Memory Error In Instantiating The Numpy Array

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I have a list A of a 50,000 elements and each element is an array of shape (102400) I tried instan… Read more Memory Error In Instantiating The Numpy Array
How To Determine At Which Point In Python Script Step Memory Exceeded In Slurm

How To Determine At Which Point In Python Script Step Memory Exceeded In Slurm

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I have a python script that I am running on a SLURM cluster for multiple input files: #!/bin/bash … Read more How To Determine At Which Point In Python Script Step Memory Exceeded In Slurm
Optimize Parsing File With Json Objects In Pandas Dataframe, Where Keys May Be Missing In Some Rows

Optimize Parsing File With Json Objects In Pandas Dataframe, Where Keys May Be Missing In Some Rows

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I'm looking to optimize the code below which takes ~5 seconds, which is too slow for a file of … Read more Optimize Parsing File With Json Objects In Pandas Dataframe, Where Keys May Be Missing In Some Rows
Packing Boolean Array Needs Go Throught Int (numpy 1.8.2)

Packing Boolean Array Needs Go Throught Int (numpy 1.8.2)

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I'm looking for the more compact way to store boolean. numpy internally need 8bits to store one… Read more Packing Boolean Array Needs Go Throught Int (numpy 1.8.2)
Most Efficient Way To Use A Large Data Set For Pytorch?

Most Efficient Way To Use A Large Data Set For Pytorch?

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Perhaps this question has been asked before, but I'm having trouble finding relevant info for m… Read more Most Efficient Way To Use A Large Data Set For Pytorch?
Memory Growth With Broadcast Operations In Numpy

Memory Growth With Broadcast Operations In Numpy

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I am using NumPy to handle some large data matrices (of around ~50GB in size). The machine where I … Read more Memory Growth With Broadcast Operations In Numpy