153 lines
3 KiB
Plaintext
153 lines
3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "af52b0cd",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "198afa0e",
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"metadata": {},
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"outputs": [],
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"source": [
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"def get_slice_and_perform_something(x, axis):\n",
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" idx = 75\n",
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" if axis == 0:\n",
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" slice_ = x[idx, :]\n",
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" else:\n",
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" slice_ = x[:, idx]\n",
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" # Here I divide by two but any other operation will do, \n",
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" # we just want to simulate the fact that we actually need to read the memory\n",
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" return slice_ // 2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "15900a3c",
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"metadata": {},
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"outputs": [],
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"source": [
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"page_size = 4096\n",
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"n = 100\n",
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"x = np.empty((page_size * n, page_size * n), dtype='int8')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "c182d3d3",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(409600, 409600)"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"x.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "86a3e63f",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"28.2 µs ± 1.22 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n"
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]
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}
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],
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"source": [
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"%timeit get_slice_and_perform_something(x, axis=0)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "8b2a96c2",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The slowest run took 5.29 times longer than the fastest. This could mean that an intermediate result is being cached.\n",
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"886 ms ± 337 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
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]
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}
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],
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"source": [
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"%timeit get_slice_and_perform_something(x, axis=1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "a8f67b13",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"32218.18181818182"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"886000 / 27.5"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "17a65d38",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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