{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Enhancing GME gradient computation efficiency" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import time\n", "\n", "import autograd.numpy as npa\n", "from autograd import grad, value_and_grad\n", "\n", "import legume\n", "from legume.minimize import Minimize\n", "\n", "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## PhC cavity simulation\n", "\n", "We will look at a cavity simulation similar to the previous Notebook and see how it can be improved both in terms of accuracy and in terms of computational time and memory. We first define the cavity that we will simulate. This time we use a silicon slab in air because of the larger photonic band gap. This will come in handy later." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Number of PhC periods in x and y directions\n", "Nx, Ny = 16, 10\n", "\n", "# Regular PhC parameters\n", "ra = 0.25\n", "dslab = 0.5\n", "n_slab = 3.48\n", "\n", "# Initialize a lattice and PhC\n", "lattice = legume.Lattice([Nx, 0], [0, Ny*np.sqrt(3)/2])\n", "\n", "# Make x and y positions in one quadrant of the supercell\n", "# We only initialize one quadrant because we want to shift the holes symmetrically\n", "xp, yp = [], []\n", "nx, ny = Nx//2 + 1, Ny//2 + 1\n", "for iy in range(ny):\n", " for ix in range(nx):\n", " xp.append(ix + (iy%2)*0.5)\n", " yp.append(iy*np.sqrt(3)/2)\n", "\n", "# Move the first two holes to create the L4/3 defect\n", "xp[0] = 2/5\n", "xp[1] = 6/5 \n", "nc = len(xp)\n", "\n", "# Initialize shift parameters to zeros\n", "dx, dy = np.zeros((nc,)), np.zeros((nc,))" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Define L4/3 PhC cavity with shifted holes\n", "def cavity(dx, dy):\n", " # Initialize PhC\n", " phc = legume.PhotCryst(lattice)\n", " \n", " # Add a layer to the PhC \n", " phc.add_layer(d=dslab, eps_b=n_slab**2)\n", " \n", " # Apply holes symmetrically in the four quadrants\n", " for ic, x in enumerate(xp):\n", " yc = yp[ic] if yp[ic] == 0 else yp[ic] + dy[ic]\n", " xc = x if x == 0 else xp[ic] + dx[ic]\n", " phc.add_shape(legume.Circle(x_cent=xc, y_cent=yc, r=ra))\n", " if nx-0.6 > xp[ic] > 0 and (ny-1.1)*np.sqrt(3)/2 > yp[ic] > 0:\n", " phc.add_shape(legume.Circle(x_cent=-xc, y_cent=-yc, r=ra))\n", " if nx-1.6 > xp[ic] > 0:\n", " phc.add_shape(legume.Circle(x_cent=-xc, y_cent=yc, r=ra))\n", " if (ny-1.1)*np.sqrt(3)/2 > yp[ic] > 0 and nx-1.1 > xp[ic]:\n", " phc.add_shape(legume.Circle(x_cent=xc, y_cent=-yc, r=ra))\n", " \n", " return phc" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the previous example, we used a relatively fast optimization for illustration purposes. In the `legume` paper, we use `gmax = 2.5`, as well as a 3x3 $k$-grid in the Brillouin zone, and average the loss rates. This improves the accuracy of the result, especially when going to ultra-high-$Q$ values. However, it also takes a longer time to compute, and significantly more memory if done directly, because all the variables, including all the dense matrices and all the eigenvectors at every $k$ are stored for the backpropagation. We will see how we can introduce some improvements.\n", "\n", "Below, we define a new GME computation function, with two main differences from the previous Notebook. First, we compute the loss rates on a grid of $k$-points. Second, instead of taking the `Nx*Ny` eigenmode as the cavity mode, we look for the first eigenfrequency above 0.26 (first mode in the band gap), since below we will try a solver for that only computes a small number of eigenmodes. The large band-gap of the silicon PhC helps with defining a cutoff frequency when looking for the cavity mode, especially as parameters change during an optimization." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def gme_cavity_k(dx, dy, gmax, truncate_g, options, kpoints, f_lb=0.26):\n", " phc = cavity(dx, dy)\n", " options['compute_im'] = False\n", " gme = legume.GuidedModeExp(phc, gmax=gmax,truncate_g=truncate_g)\n", " gme.run(kpoints=kpoints, **options)\n", " indmode = npa.nonzero(gme.freqs[0, :] > f_lb)[0][0]\n", " fims = []\n", " for ik in range(kpoints[0, :].size):\n", " (freq_im, _,_) = gme.compute_rad(ik, [indmode])\n", " fims.append(freq_im)\n", " return (gme, npa.array(fims), indmode)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Accuracy of forward computation\n", "We first compare the quality factor computed at a single $k$-point to the one computed after averaging over a small grid in $k$-space. To speed things up here, we'll only use `gmax = 1.5` and a 2x2 grid in $k$. Note that it's better to average the loss rates and only then compute the $Q$, rather than average the $Q$-s. \n", "\n", "Instead of computing `Nx*Ny` modes like before, here we will only compute 5 modes closes to $f=0.28$, which is where we expect the cavity mode to lie (we've checked in a previous simulation). When using the default solver, `numpy.linalg.eigh`, this actually doesn't make any difference, because *all* the eigenmodes are computed, but only the requested ones are stored. However, below we will also test using the `scipy.sparse.linagl.eigsh` solver, which only computes the requested number `numeig` of eigenmodes.\n", "\n", "We measure the memory using the magic function from the [memory profiler](https://pypi.org/project/memory-profiler/), which you should have installed to run the cells below (or comment out the `%memit` commands)." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running gme k-points: │██████████████████████████████│ 4 of 4\r" ] }, { "data": { "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃ Steps in GuidedModeExp: 1225 plane waves and 1 guided modes ┃ Time (s) ┃ % vs total T ┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│ Guided modes computation with gmode_compute='exact' │ 0.483 │ │██------------------│ 14% │\n",
"│ Inverse matrix of Fourier-space permittivity │ 0.065 │ │--------------------│ 2% │\n",
"│ Matrix diagionalization using the 'eigh' solver │ 0.614 │ │███-----------------│ 18% │\n",
"│ Creating GME matrix │ 2.288 │ │█████████████-------│ 66% │\n",
"├─────────────────────────────────────────────────────────────┼──────────┼──────────────────────────────┤\n",
"│ Total time for real part of frequencies for 4 k-points │ 3.453 │ │████████████████████│ 100% │\n",
"└─────────────────────────────────────────────────────────────┴──────────┴──────────────────────────────┘\n",
"\n"
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"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃\u001b[1m \u001b[0m\u001b[1mSteps in GuidedModeExp: 1225 plane waves and 1 guided modes\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTime (s)\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m % vs total T\u001b[0m\u001b[1m \u001b[0m┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│\u001b[36m \u001b[0m\u001b[36mGuided modes computation with gmode_compute='\u001b[0m\u001b[1;36mexact\u001b[0m\u001b[36m'\u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.483 \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m│██------------------│ 14%\u001b[0m\u001b[32m \u001b[0m│\n",
"│\u001b[36m \u001b[0m\u001b[36mInverse matrix of Fourier-space permittivity\u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.065 \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m│--------------------│ 2%\u001b[0m\u001b[32m \u001b[0m│\n",
"│\u001b[36m \u001b[0m\u001b[36mMatrix diagionalization using the '\u001b[0m\u001b[1;36meigh\u001b[0m\u001b[36m' solver\u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.614 \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m│███-----------------│ 18%\u001b[0m\u001b[32m \u001b[0m│\n",
"│\u001b[36m \u001b[0m\u001b[36mCreating GME matrix\u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m2.288 \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m│█████████████-------│ 66%\u001b[0m\u001b[32m \u001b[0m│\n",
"├─────────────────────────────────────────────────────────────┼──────────┼──────────────────────────────┤\n",
"│\u001b[1;36m \u001b[0m\u001b[1;36mTotal time for real part of frequencies for 4 k-points\u001b[0m\u001b[1;36m \u001b[0m\u001b[1;36m \u001b[0m│\u001b[1;35m \u001b[0m\u001b[1;4;35m3.453\u001b[0m\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m│\u001b[1;32m \u001b[0m\u001b[1;32m│████████████████████│ 100%\u001b[0m\u001b[1;32m \u001b[0m│\n",
"└─────────────────────────────────────────────────────────────┴──────────┴──────────────────────────────┘\n"
]
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"text/html": [
"Skipping imaginary part computation, use run_im() to run it, or compute_rad() to compute the radiative rates of \n", "selected eigenmodes\n", "\n" ], "text/plain": [ "Skipping imaginary part computation, use \u001b[1;35mrun_im\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m to run it, or \u001b[1;35mcompute_rad\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m to compute the radiative rates of \n", "selected eigenmodes\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "peak memory: 531.98 MiB, increment: 357.88 MiB\n", "Cavity quality factor at k=0: 16346.40\n", "Quality factor averaged over 4 k-points: 29026.16\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃ Steps in GuidedModeExp: 1225 plane waves and 1 guided modes ┃ Time (s) ┃ % vs total T ┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│ Guided modes computation with gmode_compute='exact' │ 0.446 │ │██------------------│ 13% │\n",
"│ Inverse matrix of Fourier-space permittivity │ 0.085 │ │--------------------│ 2% │\n",
"│ Matrix diagionalization using the 'eigsh' solver │ 0.649 │ │███-----------------│ 18% │\n",
"│ Creating GME matrix │ 2.344 │ │█████████████-------│ 66% │\n",
"├─────────────────────────────────────────────────────────────┼──────────┼──────────────────────────────┤\n",
"│ Total time for real part of frequencies for 4 k-points │ 3.529 │ │████████████████████│ 100% │\n",
"└─────────────────────────────────────────────────────────────┴──────────┴──────────────────────────────┘\n",
"\n"
],
"text/plain": [
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃\u001b[1m \u001b[0m\u001b[1mSteps in GuidedModeExp: 1225 plane waves and 1 guided modes\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mTime (s)\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m % vs total T\u001b[0m\u001b[1m \u001b[0m┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│\u001b[36m \u001b[0m\u001b[36mGuided modes computation with gmode_compute='\u001b[0m\u001b[1;36mexact\u001b[0m\u001b[36m'\u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.446 \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m│██------------------│ 13%\u001b[0m\u001b[32m \u001b[0m│\n",
"│\u001b[36m \u001b[0m\u001b[36mInverse matrix of Fourier-space permittivity\u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.085 \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m│--------------------│ 2%\u001b[0m\u001b[32m \u001b[0m│\n",
"│\u001b[36m \u001b[0m\u001b[36mMatrix diagionalization using the '\u001b[0m\u001b[1;36meigsh\u001b[0m\u001b[36m' solver\u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m0.649 \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m│███-----------------│ 18%\u001b[0m\u001b[32m \u001b[0m│\n",
"│\u001b[36m \u001b[0m\u001b[36mCreating GME matrix\u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m2.344 \u001b[0m\u001b[35m \u001b[0m│\u001b[32m \u001b[0m\u001b[32m│█████████████-------│ 66%\u001b[0m\u001b[32m \u001b[0m│\n",
"├─────────────────────────────────────────────────────────────┼──────────┼──────────────────────────────┤\n",
"│\u001b[1;36m \u001b[0m\u001b[1;36mTotal time for real part of frequencies for 4 k-points\u001b[0m\u001b[1;36m \u001b[0m\u001b[1;36m \u001b[0m│\u001b[1;35m \u001b[0m\u001b[1;4;35m3.529\u001b[0m\u001b[1;35m \u001b[0m\u001b[1;35m \u001b[0m│\u001b[1;32m \u001b[0m\u001b[1;32m│████████████████████│ 100%\u001b[0m\u001b[1;32m \u001b[0m│\n",
"└─────────────────────────────────────────────────────────────┴──────────┴──────────────────────────────┘\n"
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"Skipping imaginary part computation, use run_im() to run it, or compute_rad() to compute the radiative rates of \n", "selected eigenmodes\n", "\n" ], "text/plain": [ "Skipping imaginary part computation, use \u001b[1;35mrun_im\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m to run it, or \u001b[1;35mcompute_rad\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m to compute the radiative rates of \n", "selected eigenmodes\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "peak memory: 561.24 MiB, increment: 237.10 MiB\n", "Quality factor averaged over 4 k-points: 29026.16\n" ] } ], "source": [ "options['eig_solver'] = 'eigsh'\n", "\n", "%memit (gme, fims, indmode) = gme_cavity_k(dx, dy, gmax=gmax, truncate_g=truncate_g, options=options, kpoints=np.vstack((kxg, kyg)))\n", "print(\"Quality factor averaged over %d k-points: %1.2f\" %(nkx*nky, gme.freqs[0, indmode]/2/np.mean(fims)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The matrix diagonalization was faster *and* the memory consumption was smaller! We are interested in the `increment` memory as the `peak` memory depends on background processes running. Thus, the `eigsh` solver could be useful to speed up your simulations, with the caveat that you need a good way to \"find\" the mode you are looking for." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Time and memory performance of gradient computation\n", "\n", "Now we will compare several different ways to compute the gradient of the $k$-averaged loss rates. Note that the memory measurement is not exact and could vary between runs, but it gives us a good idea of what's happening. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "scrolled": true }, "outputs": [], "source": [ "# Switch to autograd backend\n", "legume.set_backend('autograd')\n", "\n", "# Starting parameters\n", "pstart = np.zeros((2*nc, ))\n", "\n", "# Objective function defining the average imaginary part\n", "def fim_kavg(params):\n", " dx = params[0:nc]\n", " dy = params[nc:]\n", " (gme, fims, _) = gme_cavity_k(dx, dy, gmax, truncate_g, options, np.vstack((kxg, kyg)))\n", " # Scale for easier readability\n", " return npa.mean(fims)*1e6\n", "\n", "obj_grad = value_and_grad(fim_kavg)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First we compute the gradient the way we did it in the previous notebook." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "peak memory: 1877.10 MiB, increment: 1539.95 MiB\n", "Autograd gradient: 234.6413, computed in 7.8364s\n" ] } ], "source": [ "options['eig_solver'] = 'eigh'\n", "options['verbose'] = False\n", "options['numeig'] = Nx*Ny + 5 \n", "options['eig_sigma'] = 0 \n", "\n", "t = time.time()\n", "%memit (fim, grad_a) = obj_grad(pstart)\n", "# Print the gradient w.r.t. params[0]\n", "print(\"Autograd gradient: %1.4f, computed in %1.4fs\" %(grad_a[0], time.time() - t))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we compute just 5 modes, but without switching the solver, which should be equivalent." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "peak memory: 1865.29 MiB, increment: 375.36 MiB\n", "Autograd gradient: 234.6413, computed in 7.9756s\n" ] } ], "source": [ "options['numeig'] = 5 \n", "options['eig_sigma'] = 0.28 \n", "\n", "t = time.time()\n", "%memit (fim, grad_a) = obj_grad(pstart)\n", "# Print the gradient w.r.t. params[0]\n", "print(\"Autograd gradient: %1.4f, computed in %1.4fs\" %(grad_a[0], time.time() - t))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The small difference in memory should be spurious. Notice that the gradient computation needs much more memory than the forward computation, because *all* the intermediate results are stored. This is the trade-off that comes with reverse-mode autodiff.\n", "\n", "Next, we switch the solver to `scipy.sparse.linalg.eigsh`. " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "peak memory: 1594.93 MiB, increment: 102.13 MiB\n", "Autograd gradient: 234.6418, computed in 7.0629s\n" ] } ], "source": [ "options['eig_solver'] = 'eigsh'\n", "\n", "t = time.time()\n", "%memit (fim, grad_a) = obj_grad(pstart)\n", "# Print the gradient w.r.t. params[0]\n", "print(\"Autograd gradient: %1.4f, computed in %1.4fs\" %(grad_a[0], time.time() - t))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is faster and takes a little less memory, but it doesn't help reduce the memory requirement as much as we would like. This is because, the only difference is that we don't store all the eigenvectors. However, all the intermediate results in building the matrix for diagonalization, including the matrix itself, are still stored and form the bulk of the memory requirement. To make matters worse, they are stored for every $k$-point, as opposed to discarded at the end of each loop as is the case of the forward computation.\n", "\n", "To mitigate this, we also provide a custom function that mimics `map(lambda f: f(params), fns))` in a way that splits the gradient computation instead of storing all the intermediate variables for all functions. NB: the function `fns` all have to return a scalar and `params` are all vectors. `fmap` then returns an array of the same size as the number of functions in `fns`." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "peak memory: 1525.29 MiB, increment: 0.78 MiB\n", "Autograd gradient: 234.6411, computed in 13.6836s\n" ] } ], "source": [ "from legume.primitives import fmap\n", "\n", "# Redefine the objective function to utilize the `legume.fmap` function\n", "def of_kavg_fmap(params):\n", " # A function factory to make a list of functions for every k-point\n", " def fim_factory(ik):\n", " def fim(params):\n", " dx = params[0:nc]\n", " dy = params[nc:]\n", " (gme, freq_im, _) = gme_cavity_k(dx, dy, gmax, truncate_g, options, np.array([[kxg[ik]], [kyg[ik]]]))\n", " return freq_im\n", " return fim\n", " \n", " fims = fmap([fim_factory(ik=ik) for ik in range(nkx*nky)], params)\n", " return npa.mean(fims)*1e6\n", "\n", "obj_grad = value_and_grad(of_kavg_fmap)\n", "\n", "t = time.time()\n", "%memit (fim, grad_a) = obj_grad(pstart)\n", "# Print the gradient w.r.t. params[0]\n", "print(\"Autograd gradient: %1.4f, computed in %1.4fs\" %(grad_a[0], time.time() - t))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 4 }