ReCoDE_MCMCFF/docs/learning/06 Speeding It Up.ipynb
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Co-authored-by: Jeremy Cohen <jcohen02@users.noreply.github.com>
2022-07-20 00:46:37 +01:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "5ac56056-ca33-4f13-8e36-564b94144c1e",
"metadata": {
"tags": []
},
"source": [
"<h1 align=\"center\">Markov Chain Monte Carlo for fun and profit</h1>\n",
"<h1 align=\"center\"> 🎲 ⛓️ 👉 🧪 </h1>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "eb5d773e-4cc0-48ae-bb71-7ece7ab5f936",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from numba import jit\n",
"\n",
"# This loads some custom styles for matplotlib\n",
"import json, matplotlib\n",
"\n",
"with open(\"../_static/matplotlibrc.json\") as f:\n",
" matplotlib.rcParams.update(json.load(f))\n",
"\n",
"np.random.seed(\n",
" 42\n",
") # This makes our random numbers reproducible but only when the notebook is run once in order"
]
},
{
"cell_type": "markdown",
"id": "3882f3c7-854e-4394-a982-0e71696cfcc9",
"metadata": {},
"source": [
"# Speeding It Up\n",
"\n",
"In order to show you a really big system, we will still need to make the code a bit faster. Right now we calculate the energy of each state, flip a pixel, and then calculate the energy again. It turns out that you can actually directly calculate the energy change instead of doing this subtraction. Let's do this in a sort of test-driven development fashion: we want to write a function that when given a state and a pixel to flip, returns how much the energy goes up by (negative if down) upon performing the flip.\n",
"\n",
"I'll first write a slow version of this using the code we already have, and then use that to validate our faster version:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "6c7a2bd3-acc1-45b5-b127-3691ecbe98f0",
"metadata": {},
"outputs": [],
"source": [
"from MCFF.ising_model import energy, show_state\n",
"\n",
"\n",
"def energy_difference_reference_implementation(state, site):\n",
" state = state.copy()\n",
" i, j = site\n",
" energy_before_flip = energy(state)\n",
" state[i, j] *= -1\n",
" energy_after_flip = energy(state)\n",
" return energy_after_flip - energy_before_flip"
]
},
{
"cell_type": "markdown",
"id": "7b16f42a-0178-4753-9e9d-2f78aed40509",
"metadata": {},
"source": [
"Now if you stare at the definition of energy long enough, you can convince yourself that the energy change when you flip one pixel only depends on the four surrounding pixels in a simple way:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "9627abbd-16ef-4f66-bf36-01adad101fac",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Ref: 144.0, Ours: 144.0\n",
"Ref: 108.0, Ours: 108.0\n",
"Ref: 72.0, Ours: 72.0\n"
]
}
],
"source": [
"@jit(nopython=True, nogil=True)\n",
"def energy_difference(state, site):\n",
" # loop over the four neighbours of the site, skipping if the site is near an edge\n",
" N, M = state.shape\n",
" i, j = site\n",
" h = 0\n",
" for di, dj in [[-1, 0], [1, 0], [0, -1], [0, 1]]: # loop over N,E,S,W neighbours\n",
" if (0 <= (i + di) < N) and (\n",
" 0 <= (j + dj) < M\n",
" ): # ignore neighbours not in the NxN grid\n",
" h += state[i + di, j + dj]\n",
" return 4 * state[i, j] * h\n",
"\n",
"\n",
"# do some simple test cases that I can calculate by hand\n",
"state = np.ones(\n",
" shape=(3, 3)\n",
") # a simple 3x3 grid is the smallest one where the center has 4 neighbours\n",
"sites = [\n",
" (1, 1),\n",
" (0, 1),\n",
" (0, 0),\n",
"] # Let's try the center, one on an edge and one on a corner\n",
"\n",
"for site in sites:\n",
" reference = 9 * energy_difference_reference_implementation(state, site)\n",
" ours = 9 * energy_difference(state, site)\n",
" print(f\"Ref: {reference}, Ours: {ours}\")"
]
},
{
"cell_type": "markdown",
"id": "d2f55f08-2932-4752-9a2e-ea566187a473",
"metadata": {},
"source": [
"Ok these simple tests looks good! I was struggling both with the correct factors of two and the sign, so seeing the outputs compared helped a lot. Now let's test against some random data:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "a4b71b4d-e69d-497b-bb6b-4375b16159a4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tests Passed!\n"
]
}
],
"source": [
"N = 50\n",
"values = np.array([1, -1], dtype=np.int8)\n",
"\n",
"for _ in range(100):\n",
" random_state = np.random.choice(values, size=(N, N))\n",
" random_site = np.random.randint(N, size=2)\n",
" assert np.allclose(\n",
" energy_difference_reference_implementation(random_state, random_site),\n",
" energy_difference(random_state, random_site),\n",
" )\n",
"print(\"Tests Passed!\")"
]
},
{
"cell_type": "markdown",
"id": "e6ecbc7c-530f-494b-aa31-0a118a104328",
"metadata": {},
"source": [
"Ok great! And this function is much, much faster because it only has to look at four pixels rather than all $N^2$ of them!"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "41627f33-6672-4241-aea7-b0210bc4aba1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"56.5 µs ± 1.9 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n",
"1.65 µs ± 934 ns per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n",
"51x Speedup!\n"
]
}
],
"source": [
"N = 100\n",
"random_state = np.random.choice(values, size=(N, N))\n",
"random_site = np.random.randint(N, size=2)\n",
"\n",
"reference = %timeit -n 1000 -o energy_difference_reference_implementation(random_state, random_site)\n",
"ours = %timeit -n 1000 -o energy_difference(random_state, random_site)\n",
"print(f\"{reference.best / ours.best:.0f}x Speedup!\")"
]
},
{
"cell_type": "markdown",
"id": "0311b4d9-43b7-42ab-ad19-973094020c03",
"metadata": {},
"source": [
"We get a good speedup that increases with N and should be about $N^2$ for very large values of N. Ok so how do we use this? Well we need to rewrite `mcmc` yet again:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "942ce715-0f55-43b5-a1e0-91057fd4ecc1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.66 s ± 54.4 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n",
"68.9 ms ± 4.45 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n",
"40x speedup!\n"
]
}
],
"source": [
"@jit(nopython=True, nogil=True)\n",
"def old_mcmc_generator(initial_state, steps, T, stepsize=1000, energy=energy):\n",
" N, M = initial_state.shape\n",
" assert N == M\n",
"\n",
" current_state = initial_state.copy()\n",
" E = N**2 * energy(current_state)\n",
" for _ in range(steps):\n",
" for _ in range(stepsize):\n",
" i, j = np.random.randint(N), np.random.randint(N)\n",
"\n",
" # modify the state a little, here we just flip a random pixel\n",
" current_state[i, j] *= -1\n",
" new_E = N**2 * energy(current_state)\n",
"\n",
" if (new_E < E) or np.exp(-(new_E - E) / T) > np.random.random():\n",
" E = new_E\n",
" else:\n",
" current_state[i, j] *= -1 # reject the change we made\n",
" yield current_state.copy()\n",
" return\n",
"\n",
"\n",
"@jit(nopython=True, nogil=True)\n",
"def mcmc_generator(\n",
" initial_state, steps, T, stepsize=1000, energy_difference=energy_difference\n",
"):\n",
" N, M = initial_state.shape\n",
" assert N == M\n",
"\n",
" current_state = initial_state.copy()\n",
" for _ in range(steps):\n",
" for _ in range(stepsize):\n",
" i, j = np.random.randint(N), np.random.randint(N)\n",
"\n",
" # calculate the energy change if we were to flip this pixel but don't actually do it\n",
" change_in_E = N**2 * energy_difference(current_state, (i, j))\n",
"\n",
" if change_in_E < 0 or np.exp(-change_in_E / T) > np.random.random():\n",
" current_state[i, j] *= -1 # accept the change!\n",
"\n",
" yield current_state.copy()\n",
" return\n",
"\n",
"\n",
"N_steps = 1000\n",
"stepsize = 100\n",
"N = 100\n",
"initial_state = np.ones(shape=(N, N))\n",
"old = %timeit -o [_ for s in old_mcmc_generator(initial_state, T = 5, steps = N_steps, stepsize = stepsize)]\n",
"new = %timeit -o [_ for s in mcmc_generator(initial_state, T = 5, steps = N_steps, stepsize = stepsize)]\n",
"print(f\"{old.best / new.best:.0f}x speedup!\")"
]
},
{
"cell_type": "markdown",
"id": "bd67385b-c8b3-4c1b-bb96-6856eaa6aa7e",
"metadata": {},
"source": [
"We can now comfortably look at much larger systems!"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "ca619dc7-9b3f-45f7-ad0d-751b60b37cdb",
"metadata": {},
"outputs": [],
"source": [
"### Simulation Inputs ###\n",
"N = 500 # Use an NxN system\n",
"steps = 5 # How many times to sample the state\n",
"stepsize = (\n",
" 5 * N**2\n",
") # How many individual monte carlo flips to do in between each sample\n",
"initial_state = np.random.choice(\n",
" np.array([-1, 1], dtype=np.int8), size=(N, N)\n",
") # the intial state to use\n",
"T = 3.5\n",
"\n",
"### Simulation Code ###\n",
"critical_states = [\n",
" s for s in mcmc_generator(initial_state, steps=steps, stepsize=stepsize, T=T)\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "4c7b0ef0-b630-49c7-9ea5-f60325309751",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 2750x550 with 5 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(\n",
" ncols=len(critical_states), figsize=(5 * len(critical_states), 5)\n",
")\n",
"\n",
"for s, ax in zip(critical_states, axes):\n",
" show_state(s, ax=ax)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "2f4fb605-76d9-440a-a8e7-65f5c8e1cec0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Author: Thomas Hodson\n",
"\n",
"Github username: T_Hodson\n",
"\n",
"Last updated: Mon Jul 18 2022\n",
"\n",
"Python implementation: CPython\n",
"Python version : 3.9.12\n",
"IPython version : 8.4.0\n",
"\n",
"Git hash: 03657e08835fdf23a808f59baa6c6a9ad684ee55\n",
"\n",
"Git repo: https://github.com/ImperialCollegeLondon/ReCoDE_MCMCFF.git\n",
"\n",
"Git branch: main\n",
"\n",
"json : 2.0.9\n",
"numpy : 1.21.5\n",
"matplotlib: 3.5.1\n",
"\n",
"Watermark: 2.3.1\n",
"\n"
]
}
],
"source": [
"%load_ext watermark\n",
"%watermark -n -u -v -iv -w -g -r -b -a \"Thomas Hodson\" -gu \"T_Hodson\""
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:recode]",
"language": "python",
"name": "conda-env-recode-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}