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@FrancescAlted
Created March 22, 2022 10:30
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "074552c3",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import numexpr as ne\n",
"import iarray as ia\n",
"\n",
"shape = (100,100,1000)\n",
"p1 = np.random.random(shape).astype('float32')\n",
"p2 = np.random.random(shape).astype('float32')\n",
"p3 = np.random.random(shape).astype('float32')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "1337db14",
"metadata": {},
"outputs": [],
"source": [
"expr1 = \"(p1 + p2 + p3) / 3\"\n",
"#expr2 = \"2.71828**p1 / p2 * log(p3)\" # this is a known bug. will fix.\n",
"expr2 = \"arctan2(2.71828, p3) / p2 * log(p3)\" # this is a quite close replacement in terms of computational effort"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "c7ecce73",
"metadata": {},
"outputs": [],
"source": [
"#NTHREADS = 16\n",
"#ia.set_config_defaults(nthreads=NTHREADS)\n",
"#ne.set_num_threads(NTHREADS)\n",
"\n",
"#ia.set_config_defaults(clevel=0, btune=False)\n",
"ia.set_config_defaults(favor=ia.Favor.SPEED, fp_mantissa_bits=10, chunks=shape, blocks=(1, 10, 1000))\n",
"\n",
"p1_ia = ia.numpy2iarray(p1)\n",
"p2_ia = ia.numpy2iarray(p2)\n",
"p3_ia = ia.numpy2iarray(p3)"
]
},
{
"cell_type": "markdown",
"id": "0b01f80b",
"metadata": {},
"source": [
"## Expression1: numexpr"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "809cac11",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 55 ms, sys: 22.8 ms, total: 77.8 ms\n",
"Wall time: 10.4 ms\n"
]
}
],
"source": [
"%%time\n",
"res = ne.evaluate(expr1, local_dict={'p1': p1, 'p2': p2, 'p3': p3})"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "81b3e1cc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 2.9 ms, sys: 248 µs, total: 3.15 ms\n",
"Wall time: 2.31 ms\n"
]
},
{
"data": {
"text/plain": [
"0.49989346"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"res.mean()"
]
},
{
"cell_type": "markdown",
"id": "3dda1ec7",
"metadata": {},
"source": [
"## Expression1: iarray"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "b8d5bde2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Result cratio: 1.25\n",
"CPU times: user 225 ms, sys: 28.6 ms, total: 254 ms\n",
"Wall time: 21.2 ms\n"
]
}
],
"source": [
"%%time\n",
"res = ia.expr_from_string(expr1, {'p1': p1_ia, 'p2': p2_ia, 'p3': p3_ia}).eval()\n",
"print(\"Result cratio:\", round(res.cratio, 2))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "841676fa",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 70 ms, sys: 14.1 ms, total: 84.2 ms\n",
"Wall time: 9.01 ms\n"
]
},
{
"data": {
"text/plain": [
"0.49958143"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"ia.mean(res, axis=(2,1,0))"
]
},
{
"cell_type": "markdown",
"id": "a0adeeb5",
"metadata": {},
"source": [
"## Expression2: numexpr"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "4405164d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 219 ms, sys: 11.3 ms, total: 230 ms\n",
"Wall time: 30.2 ms\n"
]
}
],
"source": [
"%%time\n",
"res = ne.evaluate(expr2, local_dict={'p1': p1, 'p2': p2, 'p3': p3})"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "95ba3a89",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 3.07 ms, sys: 1.74 ms, total: 4.81 ms\n",
"Wall time: 3.99 ms\n"
]
},
{
"data": {
"text/plain": [
"-25.415495806609158"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"res.mean()"
]
},
{
"cell_type": "markdown",
"id": "8320f203",
"metadata": {},
"source": [
"## Expression2: iarray"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "5d46138c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Result cratio: 1.07\n",
"CPU times: user 280 ms, sys: 7.06 ms, total: 287 ms\n",
"Wall time: 20.4 ms\n"
]
}
],
"source": [
"%%time\n",
"res = ia.expr_from_string(expr2, {'p1': p1_ia, 'p2': p2_ia, 'p3': p3_ia}).eval()\n",
"print(\"Result cratio:\", round(res.cratio, 2))"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "69f8b650",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 13.3 ms, sys: 36.7 ms, total: 50 ms\n",
"Wall time: 7.18 ms\n"
]
},
{
"data": {
"text/plain": [
"-25.424397"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"ia.mean(res, axis=(2,1,0))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a89b49e0",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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