Ben Lansdell benlansdell

## filepicker.py
"""FilePicker for streamlit.

Still doesn't seem to be a good solution for a way to select files to process from the server Streamlit is running on.

Here's a pretty functional solution.

Usage:

```
import streamlit as st

## installing_nvidia_driver_cuda_cudnn_linux.md

      
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                kmhofmann
                / installing_nvidia_driver_cuda_cudnn_linux.md
            
            
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              May 10, 2024 03:37
            
              
                Installing the NVIDIA driver, CUDA and cuDNN on Linux
              
          
    Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

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

NVIDIA graphics card driver (v450.57)
CUDA (v11.0.2)
cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

  
## parallel_write.py
"""Write a NumPy array in parallel from multiple CPUs/processes, using shared memory."""

from contextlib import closing
import multiprocessing as mp
import os

import numpy as np


def _init(shared_arr_):

## extract_scalars.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function


import csv
import errno
import os
import re

## tensorflow_custom_operation_gradient.py
# -*- coding: utf-8 -*-
"""
| **@created on:** 11/05/17,
| **@author:** Prathyush SP,
| **@version:** v0.0.1
|
| **Description:**
| DL Module Tests
| **Sphinx Documentation Status:** Complete
|

## llvm-update-alternatives
#!/usr/bin/env sh

sudo update-alternatives --install \
        /usr/bin/llvm-config       llvm-config      /usr/bin/llvm-config-3.4  200 \
--slave /usr/bin/llvm-ar           llvm-ar          /usr/bin/llvm-ar-3.4 \
--slave /usr/bin/llvm-as           llvm-as          /usr/bin/llvm-as-3.4 \
--slave /usr/bin/llvm-bcanalyzer   llvm-bcanalyzer  /usr/bin/llvm-bcanalyzer-3.4 \
--slave /usr/bin/llvm-cov          llvm-cov         /usr/bin/llvm-cov-3.4 \
--slave /usr/bin/llvm-diff         llvm-diff        /usr/bin/llvm-diff-3.4 \
--slave /usr/bin/llvm-dis          llvm-dis         /usr/bin/llvm-dis-3.4 \
	"""FilePicker for streamlit.

	Still doesn't seem to be a good solution for a way to select files to process from the server Streamlit is running on.

	Here's a pretty functional solution.

	Usage:

	```
	import streamlit as st
	"""Write a NumPy array in parallel from multiple CPUs/processes, using shared memory."""

	from contextlib import closing
	import multiprocessing as mp
	import os

	import numpy as np


	def _init(shared_arr_):
	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function


	import csv
	import errno
	import os
	import re
	# -- coding: utf-8 --
	"""
	\| @created on: 11/05/17,
	\| @author: Prathyush SP,
	\| @version: v0.0.1
	\|
	\| Description:
	\| DL Module Tests
	\| Sphinx Documentation Status: Complete
	\|
	#!/usr/bin/env sh

	sudo update-alternatives --install \
	/usr/bin/llvm-config llvm-config /usr/bin/llvm-config-3.4 200 \
	--slave /usr/bin/llvm-ar llvm-ar /usr/bin/llvm-ar-3.4 \
	--slave /usr/bin/llvm-as llvm-as /usr/bin/llvm-as-3.4 \
	--slave /usr/bin/llvm-bcanalyzer llvm-bcanalyzer /usr/bin/llvm-bcanalyzer-3.4 \
	--slave /usr/bin/llvm-cov llvm-cov /usr/bin/llvm-cov-3.4 \
	--slave /usr/bin/llvm-diff llvm-diff /usr/bin/llvm-diff-3.4 \
	--slave /usr/bin/llvm-dis llvm-dis /usr/bin/llvm-dis-3.4 \