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@mdouze
Last active June 25, 2020 05:34
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"fd = os.open('/tmp/block', os.O_RDWR|os.O_CREAT)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# allocate 60 G of file initialized to 0\n",
"# 60 G should be larger than the amount of RAM but smaller than the available disk space on /tmp\n",
"os.ftruncate(fd, 60 * (1<<30))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-rwxr-xr-x. 1 matthijs users 64424509440 Jun 24 22:25 /tmp/block\r\n"
]
}
],
"source": [
"! ls -la /tmp/block"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"m = np.memmap('/tmp/block', mode='r+')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"64424509440"
]
},
"execution_count": 12,
"metadata": {
"bento_obj_id": "140113145606000"
},
"output_type": "execute_result"
}
],
"source": [
"m.size"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"memmap([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
" 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
" 0, 0, 0, 0, 0, 0], dtype=uint8)"
]
},
"execution_count": 13,
"metadata": {
"bento_obj_id": "140112944691280"
},
"output_type": "execute_result"
}
],
"source": [
"m[:50]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"step = 1 << 20"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"47565504512 / 64424509440\r"
]
}
],
"source": [
"for i in range(0, m.size, step): \n",
" print(f'{i} / {m.size}', end='\\r', flush=True)\n",
" m[i:i+step] = 123"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"bento_stylesheets": {
"bento/extensions/flow/main.css": true,
"bento/extensions/kernel_selector/main.css": true,
"bento/extensions/kernel_ui/main.css": true,
"bento/extensions/new_kernel/main.css": true,
"bento/extensions/system_usage/main.css": true,
"bento/extensions/theme/main.css": true
},
"kernelspec": {
"display_name": "faiss",
"language": "python",
"name": "bento_kernel_faiss"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.5+"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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