{"cells":[{"cell_type":"markdown","id":"e004651b-447b-494a-8ab8-6bf448cf29ce","metadata":{"id":"e004651b-447b-494a-8ab8-6bf448cf29ce"},"source":["# Adjoint Optimization Demo\n","\n","In this tutorial notebook, we will use the `tidy3d.adjoint` plugin to demonstrate the inverse design of a lens using the principles outlined in the previous [lectures](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/).\n","\n","The main documentation for the `adjoint` plugin can be found [here](https://docs.flexcompute.com/projects/tidy3d/en/latest/notebooks/AdjointPlugin1Intro.html) as well as a handful of demos of adjoint optimization in action, such as for desigining a [grating coupler](https://docs.flexcompute.com/projects/tidy3d/en/latest/notebooks/AdjointPlugin6GratingCoupler.html) or a [mode converter](https://docs.flexcompute.com/projects/tidy3d/en/latest/notebooks/AdjointPlugin3InverseDesign.html).\n","\n","## Set Up\n","\n","First, we will set up the basic parameters of our simulation. We will define a 2D simulation domain with a central design region consisting of a grid of rectangular regions where we may vary the relative permittivity between that of vacuum and that of our lens material. Using the adjoint plugin, we compute the gradient of the lens focusing with respect to the permittivity of each grid cell. Then we use this gradient to update the grid cell permittivities in the direction of maximizing focusing strength. This process is repeated until a final design is achieved."]},{"cell_type":"code","execution_count":null,"id":"b4acdc17-ada2-48cf-a0a4-c90fa8ac2fce","metadata":{"id":"b4acdc17-ada2-48cf-a0a4-c90fa8ac2fce"},"outputs":[],"source":["\n","import matplotlib.pylab as plt\n","import numpy as np\n","import tidy3d as td\n","\n","# in addition to the regular tidy3d package, we also import the adjoint plugin\n","# this gives us special tidy3d components that track derivative information\n","import tidy3d.plugins.adjoint as tda\n","\n","# we also import the web run function from the adjoint plugin, which lets us use the adjoint plugin\n","# on the server side to compute gradient information efficiently\n","from tidy3d.plugins.adjoint.web import run_local as run\n","\n","# for the rest of the process, we use the \"jax\" package to define our objective function\n","# and take derivatives using automatic differentiation\n","import jax\n","import jax.numpy as jnp\n"]},{"cell_type":"code","execution_count":null,"id":"ae7d1d0e-a109-40c8-ab7c-ce0337e2d23f","metadata":{"id":"ae7d1d0e-a109-40c8-ab7c-ce0337e2d23f"},"outputs":[],"source":["# source info\n","wavelength = 1.0\n","freq0 = td.C_0 / wavelength\n","fwidth = freq0 / 10\n","run_time = 100 / fwidth\n","\n","# geometry into\n","lens_thick = 1.5575563445 * wavelength\n","lens_width = 5.575563445 * wavelength\n","dist = 2.3 * wavelength\n","buffer = 1.0 * wavelength\n","\n","# simulation size\n","Lx = lens_thick + 2 * buffer + 2 * dist\n","Ly = lens_width + 2 * buffer\n","Lz = 0.0\n","\n","# material information\n","ref_ind_lens = 1.5\n","eps_lens = ref_ind_lens ** 2\n","\n","# lens discretization\n","nx = 33\n","ny = 93\n","\n","dl = wavelength/20\n","\n","MNT_NAME_FOCUS = \"focus\"\n","MNT_NAME_FIELD = \"field\""]},{"cell_type":"code","execution_count":null,"id":"d11f1981-85a4-4bbc-9d98-3ff3b779c62f","metadata":{"id":"d11f1981-85a4-4bbc-9d98-3ff3b779c62f","outputId":"56ca47aa-61c2-4b40-9f94-7eb194426ac1"},"outputs":[{"name":"stdout","output_type":"stream","text":["minimum thickness should be 1.12 wavelengths\n"]}],"source":["# minimal thickness\n","min_thick = dist * (np.sqrt(1 + (lens_width/2/dist)) - 1)\n","print(f'minimum thickness should be {(min_thick/wavelength):.2f} wavelengths')"]},{"cell_type":"markdown","id":"1f1df611-ebe3-4a3f-96e0-0a9b2b20860a","metadata":{"id":"1f1df611-ebe3-4a3f-96e0-0a9b2b20860a"},"source":["Next, we will define the source and field monitor components for our simulation."]},{"cell_type":"code","execution_count":null,"id":"44587332-4e65-4d94-a06d-93633762c38e","metadata":{"id":"44587332-4e65-4d94-a06d-93633762c38e"},"outputs":[],"source":["source = td.PointDipole(\n"," center=(-lens_thick/2 - dist, 0, 0),\n"," source_time=td.GaussianPulse(\n"," freq0=freq0,\n"," fwidth=fwidth,\n"," ),\n"," polarization=\"Ez\",\n",")\n","\n","fld_mnt = td.FieldMonitor(\n"," center=(0,0,0),\n"," size=(td.inf, td.inf, 0),\n"," freqs=[freq0],\n"," name=MNT_NAME_FIELD,\n",")\n","\n","focus_mnt = td.FieldMonitor(\n"," center=(lens_thick/2 + dist, 0, 0),\n"," size=(0, 0, 0),\n"," freqs=[freq0],\n"," name=MNT_NAME_FOCUS,\n"," fields = [\"Ez\"]\n",")"]},{"cell_type":"markdown","id":"a685f915-6337-46cf-8abf-7d8fa5ca605d","metadata":{"id":"a685f915-6337-46cf-8abf-7d8fa5ca605d"},"source":["Next, we write a function to generate the `JaxCustomMedium` structure that defines our lens as a pixellated grid as a function of an array grid permittivity values. We also write a function generate the `JaxSimulation` from the same inputs. Separating these as functions makes it easier to organize our code for taking derivatives later."]},{"cell_type":"code","execution_count":null,"id":"9d8a943a-ad72-420f-b6ef-79c96fe1bac0","metadata":{"id":"9d8a943a-ad72-420f-b6ef-79c96fe1bac0"},"outputs":[],"source":["def make_lens(eps_array: jnp.array) -> tda.JaxStructure:\n"," \"\"\"Make a lens structure out of the grid permittivity values (nx, ny).\"\"\"\n","\n"," # define data coordinates\n"," dx = lens_thick / nx\n"," dy = lens_width / ny\n","\n"," xmin = - lens_thick / 2.0 + dx / 2.0\n"," ymin = - lens_width / 2.0 + dy / 2.0\n","\n"," xs = [xmin + index_x * dx - 1e-5 for index_x in range(nx)]\n"," ys = [ymin + index_y * dy - 1e-5 for index_y in range(ny)]\n","\n","\n"," coords = dict(\n"," x=xs,\n"," y=ys,\n"," z=[0.],\n"," f=[freq0],\n"," )\n","\n"," data = eps_array.reshape((nx, ny, 1, 1))\n","\n"," eps_components = {}\n"," for dim in \"xyz\":\n"," key = f\"eps_{dim}{dim}\"\n"," sclr_fld = tda.JaxDataArray(values=data, coords=coords)\n"," eps_components[key] = sclr_fld\n","\n"," eps_dataset = tda.JaxPermittivityDataset(**eps_components)\n"," custom_medium = tda.JaxCustomMedium(eps_dataset=eps_dataset, subpixel=False)\n","\n"," geometry = tda.JaxBox(\n"," center=(0,0,0),\n"," size=(lens_thick, lens_width, td.inf)\n"," )\n","\n"," return tda.JaxStructure(\n"," geometry=geometry,\n"," medium=custom_medium\n"," )"]},{"cell_type":"code","execution_count":null,"id":"e6e4905b-bc14-46ce-8abc-39b525fbce8f","metadata":{"id":"e6e4905b-bc14-46ce-8abc-39b525fbce8f"},"outputs":[],"source":["def make_sim(eps_array: jnp.array, incl_fld_mnt: bool = False) -> tda.JaxSimulation:\n"," \"\"\"Make a simulation containing the custom lens grid.\"\"\"\n","\n"," lens = make_lens(eps_array)\n"," monitors = [fld_mnt] if incl_fld_mnt else []\n","\n"," # quick notes: the lens is differentiable, so it goes in input_structures\n"," # also, we are differentiating with respect to the focus monitor output,\n"," # so that goes in output_monitors\n","\n"," return tda.JaxSimulation(\n"," size=(Lx, Ly, Lz),\n"," run_time=run_time,\n"," boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=False),\n"," grid_spec=td.GridSpec.uniform(dl=dl),\n"," input_structures=[lens],\n"," output_monitors=[focus_mnt],\n"," sources=[source],\n"," monitors=monitors,\n"," )"]},{"cell_type":"markdown","id":"fd514a74-4082-4289-a491-2e2e6b2c63ad","metadata":{"id":"fd514a74-4082-4289-a491-2e2e6b2c63ad"},"source":["Let's make a simulation using some random starting values and make sure it looks ok."]},{"cell_type":"code","execution_count":null,"id":"41b72c83-fdca-4b05-a4e7-a244f05e2bcc","metadata":{"id":"41b72c83-fdca-4b05-a4e7-a244f05e2bcc"},"outputs":[],"source":["rand_arr = np.random.random((nx, ny))\n","rand_arr_sym_y = (rand_arr + rand_arr[:, ::-1])/2.0\n","\n","EPS_ARRAY = (eps_lens - 1) * rand_arr_sym_y + 1\n","\n","sim = make_sim(EPS_ARRAY)"]},{"cell_type":"code","execution_count":null,"id":"dc82d68b-b4ee-4c09-b296-c30fcfd5c6ba","metadata":{"id":"dc82d68b-b4ee-4c09-b296-c30fcfd5c6ba","outputId":"e04ae658-9367-4747-9d50-b650277b17c8"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["ax = sim.plot_eps(z=0)"]},{"cell_type":"markdown","id":"f2ccbaa6-cc83-4bca-ac3a-a6963f6b3c76","metadata":{"id":"f2ccbaa6-cc83-4bca-ac3a-a6963f6b3c76"},"source":["## Objective Function\n","\n","Now that we have a function that generates our simulation given an array of our permittivity values, we are ready to set up our objective function for optimization. Like before, we will write this as a function over the array of permittivity values and will try to split up the logical steps as well as possible for clarity.\n","\n","First, we will write a function that maps an array of parameters with values between -infinity and infinity to permittivity values between 1 and the permittivity of our lens material. This is done to ensure that we never extend outside of these values when optimizing later."]},{"cell_type":"code","execution_count":null,"id":"fece5d7e-bdd3-42e3-92f9-64267a4dd626","metadata":{"id":"fece5d7e-bdd3-42e3-92f9-64267a4dd626"},"outputs":[],"source":["from tidy3d.plugins.adjoint.utils.filter import ConicFilter, BinaryProjector\n","\n","def params_to_eps(params: jnp.array) -> jnp.array:\n"," \"\"\"Map an array of parameters with infinity extent to an array of permittivity values within bounds.\"\"\"\n","\n"," params_between_0_1 = 0.5 * (jnp.tanh(params) + 1.0)\n","\n","# conic_filter = ConicFilter(feature_size=0.3, design_region_dl=dl)\n"," binary_projector = BinaryProjector(vmin=1.0, vmax=eps_lens, beta=1.0)\n","\n","# eps_values = binary_projector.evaluate(conic_filter.evaluate(params_between_0_1.reshape((nx, ny))).reshape((nx, ny, 1, 1)))\n","\n"," eps_values = binary_projector.evaluate(params_between_0_1)\n","\n"," return eps_values\n","\n","def measure_intensity(sim_data: tda.JaxSimulationData) -> float:\n"," \"\"\"Return the intensity at the focal spot as a function of the data from the solver.\"\"\"\n"," focal_fields = sim_data[MNT_NAME_FOCUS]\n"," intensity = 0.0\n"," for key in focal_fields.monitor.fields:\n"," field = focal_fields.field_components[key]\n"," intensity += jnp.sum(jnp.abs(jnp.array(field.values))**2)\n"," return intensity\n","\n","def objective_fn(params: jnp.array, verbose:bool = False, incl_fld_mnt: bool = True) -> float:\n"," \"\"\"Run the full calculation from setting up sim, running, and measuring intensity.\"\"\"\n"," eps_data = params_to_eps(params)\n"," sim = make_sim(eps_data, incl_fld_mnt=incl_fld_mnt)\n"," sim_data = run(sim, task_name=\"lens_adjoint\", verbose=verbose, path='data/lens_adjoint.hdf5')\n"," return measure_intensity(sim_data), sim_data"]},{"cell_type":"markdown","id":"7f442d8b-fc83-4341-b194-847a3077f050","metadata":{"id":"7f442d8b-fc83-4341-b194-847a3077f050"},"source":["Let's use jax to get a function that returns our objective funciton value and its gradient with respect to the eps_data array to veritfy this works as expected."]},{"cell_type":"code","execution_count":null,"id":"888022ac-a3af-4561-8d1c-4faef64380df","metadata":{"id":"888022ac-a3af-4561-8d1c-4faef64380df"},"outputs":[],"source":["# feed in an array of very small parameters, corresponding to vacuum simulation\n","params_empty = -1000 * np.ones((nx, ny))\n","val_and_grad_fn = jax.value_and_grad(objective_fn, has_aux=True)"]},{"cell_type":"code","execution_count":null,"id":"498316fc-b19e-4a2d-b091-4a23a4db03b1","metadata":{"colab":{"referenced_widgets":["0ca7aa6718a44d428a2c262ddd8c4475","9df34e866bbb4fb09ac69f44f3f607a4","","cdc8a53f52e148038f4798f52142aafa","2b4da6dd2a2648b8997d8bb9397b7b7c","8abe381474f74130a8148c58d98e85fd","332a48d4ba86454598bc2c1ee368fb37","79cf88c1c35246ed98c7eed11c6ca79a","d86e49e3face4b19b73745cd042ba7b2"]},"id":"498316fc-b19e-4a2d-b091-4a23a4db03b1","outputId":"f8c84bc1-f872-49be-9884-4841e6159349"},"outputs":[{"data":{"text/html":["
[14:16:28] Created task 'lens_adjoint_fwd' with task_id                                               webapi.py:189\n","           'fdve-70e38201-1ae1-40f5-8af2-b6ec54c3b5bcv1'.                                                          \n","
\n"],"text/plain":["\u001b[2;36m[14:16:28]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'lens_adjoint_fwd'\u001b[0m with task_id \u001b]8;id=698039;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=697904;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#189\u001b\\\u001b[2m189\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m \u001b[0m\u001b[32m'fdve-70e38201-1ae1-40f5-8af2-b6ec54c3b5bcv1'\u001b[0m. \u001b[2m \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           View task using web UI at                                                                  webapi.py:191\n","           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-70e38201-1ae1-40f5-8af2-b6ec54c3b5b              \n","           cv1'.                                                                                                   \n","
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[14:16:31] status = queued                                                                            webapi.py:363\n","
\n"],"text/plain":["\u001b[2;36m[14:16:31]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                                            \u001b]8;id=353545;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=279226;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#363\u001b\\\u001b[2m363\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
[14:16:35] status = preprocess                                                                        webapi.py:357\n","
\n"],"text/plain":["\u001b[2;36m[14:16:35]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                                        \u001b]8;id=801417;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=774246;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#357\u001b\\\u001b[2m357\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
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[14:16:41] Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get the billed FlexCredit  webapi.py:343\n","           cost after a simulation run.                                                                            \n","
\n"],"text/plain":["\u001b[2;36m[14:16:41]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit  \u001b]8;id=332040;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=595063;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#343\u001b\\\u001b[2m343\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m           \u001b[0mcost after a simulation run.                                                               \u001b[2m             \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           starting up solver                                                                         webapi.py:379\n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                                         \u001b]8;id=204375;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=485037;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#379\u001b\\\u001b[2m379\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           running solver                                                                             webapi.py:388\n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                                             \u001b]8;id=497068;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=853110;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#388\u001b\\\u001b[2m388\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           To cancel the simulation, use 'web.abort(task_id)' or 'web.delete(task_id)' or             webapi.py:389\n","           abort/delete the task in the web UI. Terminating the Python script will not stop the job                \n","           running on the cloud.                                                                                   \n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or \u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \u001b]8;id=627545;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=371571;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#389\u001b\\\u001b[2m389\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m           \u001b[0mabort/delete the task in the web UI. Terminating the Python script will not stop the job   \u001b[2m             \u001b[0m\n","\u001b[2;36m           \u001b[0mrunning on the cloud.                                                                      \u001b[2m             \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"cdc8a53f52e148038f4798f52142aafa","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
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[14:16:48] status = postprocess                                                                       webapi.py:421\n","
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[14:16:55] status = success                                                                           webapi.py:428\n","
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[14:16:57] loading SimulationData from data/lens_adjoint.hdf5                                         webapi.py:606\n","
\n"],"text/plain":["\u001b[2;36m[14:16:57]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data/lens_adjoint.hdf5                                         \u001b]8;id=746045;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=263043;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#606\u001b\\\u001b[2m606\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
[14:16:58] Created task 'lens_adjoint_adj' with task_id                                               webapi.py:189\n","           'fdve-fcfb4628-6d93-41b0-ab95-165656be92b8v1'.                                                          \n","
\n"],"text/plain":["\u001b[2;36m[14:16:58]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'lens_adjoint_adj'\u001b[0m with task_id                                               \u001b]8;id=645210;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=128168;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#189\u001b\\\u001b[2m189\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m           \u001b[0m\u001b[32m'fdve-fcfb4628-6d93-41b0-ab95-165656be92b8v1'\u001b[0m.                                             \u001b[2m             \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           View task using web UI at                                                                  webapi.py:191\n","           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-fcfb4628-6d93-41b0-ab95-165656be92b              \n","           8v1'.                                                                                                   \n","
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[14:17:01] status = queued                                                                            webapi.py:363\n","
\n"],"text/plain":["\u001b[2;36m[14:17:01]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                                            \u001b]8;id=654094;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=306347;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#363\u001b\\\u001b[2m363\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
[14:17:05] status = preprocess                                                                        webapi.py:357\n","
\n"],"text/plain":["\u001b[2;36m[14:17:05]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                                        \u001b]8;id=666989;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=60880;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#357\u001b\\\u001b[2m357\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
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[14:17:10] Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get the billed FlexCredit  webapi.py:343\n","           cost after a simulation run.                                                                            \n","
\n"],"text/plain":["\u001b[2;36m[14:17:10]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit  \u001b]8;id=100278;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=802949;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#343\u001b\\\u001b[2m343\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m           \u001b[0mcost after a simulation run.                                                               \u001b[2m             \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           starting up solver                                                                         webapi.py:379\n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                                         \u001b]8;id=525973;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=315248;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#379\u001b\\\u001b[2m379\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           running solver                                                                             webapi.py:388\n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                                             \u001b]8;id=458324;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=800351;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#388\u001b\\\u001b[2m388\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           To cancel the simulation, use 'web.abort(task_id)' or 'web.delete(task_id)' or             webapi.py:389\n","           abort/delete the task in the web UI. Terminating the Python script will not stop the job                \n","           running on the cloud.                                                                                   \n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or \u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \u001b]8;id=373304;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=910979;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#389\u001b\\\u001b[2m389\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m           \u001b[0mabort/delete the task in the web UI. Terminating the Python script will not stop the job   \u001b[2m             \u001b[0m\n","\u001b[2;36m           \u001b[0mrunning on the cloud.                                                                      \u001b[2m             \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"79cf88c1c35246ed98c7eed11c6ca79a","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
[14:17:17] early shutoff detected, exiting.                                                           webapi.py:406\n","
\n"],"text/plain":["\u001b[2;36m[14:17:17]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                                                           \u001b]8;id=537894;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=226459;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#406\u001b\\\u001b[2m406\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
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\n","
\n"],"text/plain":["\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           status = postprocess                                                                       webapi.py:421\n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                                                       \u001b]8;id=743454;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=155410;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#421\u001b\\\u001b[2m421\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
[14:17:22] status = success                                                                           webapi.py:428\n","
\n"],"text/plain":["\u001b[2;36m[14:17:22]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                                           \u001b]8;id=969294;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=479289;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#428\u001b\\\u001b[2m428\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n"],"text/plain":[]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"d86e49e3face4b19b73745cd042ba7b2","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n"],"text/plain":[]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n","
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[14:17:23] loading SimulationData from data/lens_adjoint.hdf5                                         webapi.py:606\n","
\n"],"text/plain":["\u001b[2;36m[14:17:23]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data/lens_adjoint.hdf5                                         \u001b]8;id=646734;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=725460;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#606\u001b\\\u001b[2m606\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["value = 2287817.0\n","grad = [[0. 0. 0. ... 0. 0. 0.]\n"," [0. 0. 0. ... 0. 0. 0.]\n"," [0. 0. 0. ... 0. 0. 0.]\n"," ...\n"," [0. 0. 0. ... 0. 0. 0.]\n"," [0. 0. 0. ... 0. 0. 0.]\n"," [0. 0. 0. ... 0. 0. 0.]]\n"]}],"source":["(val_empty, sim_data), grad_empty = val_and_grad_fn(params_empty, verbose=True)\n","\n","print(f\"value = {val_empty}\")\n","print(f\"grad = {grad_empty}\")"]},{"cell_type":"markdown","id":"70edc3bb-047c-44d5-a776-21ee5bb29c2a","metadata":{"id":"70edc3bb-047c-44d5-a776-21ee5bb29c2a"},"source":["### Normalize Objective function\n","\n","Let's quickly make an objective function that is normalized by this value without a structure, so we have a dimensionless objective function that represents the \"enhancement\" of the intensity with respect to vacuum."]},{"cell_type":"code","execution_count":null,"id":"3cbbfca1-a8f7-4818-a001-7ca55d8efd4a","metadata":{"id":"3cbbfca1-a8f7-4818-a001-7ca55d8efd4a"},"outputs":[],"source":["def objective_fn_normalized(params: jnp.array, verbose:bool = False, incl_fld_mnt: bool = True) -> float:\n","    \"\"\"Run the full calculation from setting up sim, running, and measuring intensity, normalized to vacuum result.\"\"\"\n","    val_orig, aux_data = objective_fn(params, verbose=verbose, incl_fld_mnt=incl_fld_mnt)\n","    return val_orig / val_empty, aux_data"]},{"cell_type":"code","execution_count":null,"id":"f26655f4-72af-438c-b0bb-45af9eec7ed2","metadata":{"id":"f26655f4-72af-438c-b0bb-45af9eec7ed2"},"outputs":[],"source":["# get the val and grad function with normalization\n","val_and_grad_fn_normalized = jax.value_and_grad(objective_fn_normalized, has_aux=True)"]},{"cell_type":"markdown","id":"f926c032-57e8-4b0e-a81d-9eb16f8d57d2","metadata":{"id":"f926c032-57e8-4b0e-a81d-9eb16f8d57d2"},"source":["We will start our optimization with parameters slightly lower than the middle of the two permittivity limits."]},{"cell_type":"code","execution_count":null,"id":"f57b372c-db98-4935-8e34-8b88f57a415f","metadata":{"id":"f57b372c-db98-4935-8e34-8b88f57a415f"},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"id":"3f5147fd-38c7-488b-bc42-eed7a265e514","metadata":{"id":"3f5147fd-38c7-488b-bc42-eed7a265e514"},"outputs":[],"source":["PARAMS0 = -0.1 * np.ones((nx, ny))\n","\n"]},{"cell_type":"code","execution_count":null,"id":"634fcdbc-6e25-4c86-a419-88854d3c7fc0","metadata":{"id":"634fcdbc-6e25-4c86-a419-88854d3c7fc0","outputId":"92227150-c34d-4ec8-88b4-d7bc5a679031"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["sim_initial = make_sim(params_to_eps(PARAMS0), incl_fld_mnt=True)\n","sim_initial.plot_eps(z=0)\n","plt.show()"]},{"cell_type":"code","execution_count":null,"id":"ace8fd85-5cba-4b98-9291-fc6bb12e6b5e","metadata":{"colab":{"referenced_widgets":["0bcb9bcc56d541d4b431d7f4b4159a6d","a84e52c205d2488c9a72395eb7865698","","b71bcf76d4f442ce95ab665a28bef659","01b8f27625c44a03afb6c25ff034b1df"]},"id":"ace8fd85-5cba-4b98-9291-fc6bb12e6b5e","outputId":"27d96160-2328-49a0-b5e9-0eb92bd6b99b"},"outputs":[{"data":{"text/html":["
[14:17:24] Created task 'lens_initial' with task_id 'fdve-de0f2f2d-c430-4053-a272-89c6569c3cfav1'.    webapi.py:189\n","
\n"],"text/plain":["\u001b[2;36m[14:17:24]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'lens_initial'\u001b[0m with task_id \u001b[32m'fdve-de0f2f2d-c430-4053-a272-89c6569c3cfav1'\u001b[0m.    \u001b]8;id=664519;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=434619;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#189\u001b\\\u001b[2m189\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           View task using web UI at                                                                  webapi.py:191\n","           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-de0f2f2d-c430-4053-a272-89c6569c3cf              \n","           av1'.                                                                                                   \n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                                                  \u001b]8;id=739777;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=991030;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#191\u001b\\\u001b[2m191\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m           \u001b[0m\u001b]8;id=982973;https://tidy3d.simulation.cloud/workbench?taskId=fdve-de0f2f2d-c430-4053-a272-89c6569c3cfav1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=984747;https://tidy3d.simulation.cloud/workbench?taskId=fdve-de0f2f2d-c430-4053-a272-89c6569c3cfav1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=982973;https://tidy3d.simulation.cloud/workbench?taskId=fdve-de0f2f2d-c430-4053-a272-89c6569c3cfav1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=374533;https://tidy3d.simulation.cloud/workbench?taskId=fdve-de0f2f2d-c430-4053-a272-89c6569c3cfav1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=982973;https://tidy3d.simulation.cloud/workbench?taskId=fdve-de0f2f2d-c430-4053-a272-89c6569c3cfav1\u001b\\\u001b[32m-de0f2f2d-c430-4053-a272-89c6569c3cf\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n","\u001b[2;36m           \u001b[0m\u001b]8;id=982973;https://tidy3d.simulation.cloud/workbench?taskId=fdve-de0f2f2d-c430-4053-a272-89c6569c3cfav1\u001b\\\u001b[32mav1'\u001b[0m\u001b]8;;\u001b\\.                                                                                      \u001b[2m             \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"0bcb9bcc56d541d4b431d7f4b4159a6d","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n"],"text/plain":[]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n","
\n"],"text/plain":["\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"a84e52c205d2488c9a72395eb7865698","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
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[14:17:27] status = queued                                                                            webapi.py:363\n","
\n"],"text/plain":["\u001b[2;36m[14:17:27]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                                            \u001b]8;id=905124;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=494379;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#363\u001b\\\u001b[2m363\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
[14:17:31] status = preprocess                                                                        webapi.py:357\n","
\n"],"text/plain":["\u001b[2;36m[14:17:31]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                                        \u001b]8;id=726504;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=77514;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#357\u001b\\\u001b[2m357\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
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[14:17:36] Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get the billed FlexCredit  webapi.py:343\n","           cost after a simulation run.                                                                            \n","
\n"],"text/plain":["\u001b[2;36m[14:17:36]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit  \u001b]8;id=844225;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=275210;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#343\u001b\\\u001b[2m343\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m           \u001b[0mcost after a simulation run.                                                               \u001b[2m             \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           starting up solver                                                                         webapi.py:379\n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                                         \u001b]8;id=65753;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=770606;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#379\u001b\\\u001b[2m379\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           running solver                                                                             webapi.py:388\n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                                             \u001b]8;id=442110;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=493622;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#388\u001b\\\u001b[2m388\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           To cancel the simulation, use 'web.abort(task_id)' or 'web.delete(task_id)' or             webapi.py:389\n","           abort/delete the task in the web UI. Terminating the Python script will not stop the job                \n","           running on the cloud.                                                                                   \n","
\n"],"text/plain":["\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or \u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or             \u001b]8;id=586220;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=660898;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#389\u001b\\\u001b[2m389\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m           \u001b[0mabort/delete the task in the web UI. Terminating the Python script will not stop the job   \u001b[2m             \u001b[0m\n","\u001b[2;36m           \u001b[0mrunning on the cloud.                                                                      \u001b[2m             \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"b71bcf76d4f442ce95ab665a28bef659","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n"],"text/plain":[]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n","
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[14:17:43] status = postprocess                                                                       webapi.py:421\n","
\n"],"text/plain":["\u001b[2;36m[14:17:43]\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                                                       \u001b]8;id=83920;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=14973;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#421\u001b\\\u001b[2m421\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
[14:17:50] status = success                                                                           webapi.py:428\n","
\n"],"text/plain":["\u001b[2;36m[14:17:50]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                                           \u001b]8;id=352377;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=388033;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#428\u001b\\\u001b[2m428\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n"],"text/plain":[]},"metadata":{},"output_type":"display_data"},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"01b8f27625c44a03afb6c25ff034b1df","version_major":2,"version_minor":0},"text/plain":["Output()"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n"],"text/plain":[]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
\n","
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[14:17:51] loading SimulationData from data/lens_initial.hdf5                                         webapi.py:606\n","
\n"],"text/plain":["\u001b[2;36m[14:17:51]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data/lens_initial.hdf5                                         \u001b]8;id=514061;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=536014;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#606\u001b\\\u001b[2m606\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"}],"source":["sim_data_initial = run(sim_initial, task_name=\"lens_initial\", path='data/lens_initial.hdf5')"]},{"cell_type":"code","execution_count":null,"id":"deacfae6-0ebe-4e6a-867e-5c0514841284","metadata":{"id":"deacfae6-0ebe-4e6a-867e-5c0514841284","outputId":"012b83a8-46c7-4c7b-eb72-f4c2f41ac2cf"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["ax = sim_data_initial.plot_field(MNT_NAME_FIELD, 'Ez', 'real')"]},{"cell_type":"code","execution_count":null,"id":"8155cc88-c08e-4418-8498-3d921d78fa94","metadata":{"id":"8155cc88-c08e-4418-8498-3d921d78fa94"},"outputs":[],"source":["# get the starting objective function value\n","val0 = measure_intensity(sim_data_initial) / val_empty"]},{"cell_type":"code","execution_count":null,"id":"0076c85c-8557-4f15-8eeb-8622bcbcb5d6","metadata":{"id":"0076c85c-8557-4f15-8eeb-8622bcbcb5d6","outputId":"c73f31ad-df4f-4dea-c512-ef4c772b30ec"},"outputs":[{"data":{"text/plain":["Array(1.9754281, dtype=float32)"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["val0"]},{"cell_type":"markdown","id":"af2b57bf-3725-475e-b33f-20f2a028f4c6","metadata":{"id":"af2b57bf-3725-475e-b33f-20f2a028f4c6"},"source":["## Optimization\n","\n","Now that we have our objective and gradient function defined, we can perform a simple optimization of our parameters.\n","\n","We will just perform a simple \"gradient ascent\" algorithm in which we compute the gradient, perturb each of the parameters simultaneously in the direction that maximizes the objective function, and repeat this process several times until convergence."]},{"cell_type":"code","execution_count":null,"id":"8da035e0-b5a0-4a21-a610-527bd43122b8","metadata":{"id":"8da035e0-b5a0-4a21-a610-527bd43122b8"},"outputs":[],"source":["# how many iterations\n","num_steps = 35\n","\n","# magnitude of the update to the parameters in units of the gradient.\n","step_size = 1\n","step_size = 0.03"]},{"cell_type":"code","execution_count":null,"id":"fbea4acf-ee91-4887-9458-8fc1294d117c","metadata":{"id":"fbea4acf-ee91-4887-9458-8fc1294d117c","outputId":"3d16f4b9-be13-4ba0-ed66-1ab3caa3fb48"},"outputs":[{"name":"stdout","output_type":"stream","text":["step = 1\n","\tval = 1.975e+00\n","\tnorm(grad) = 1.846e-01\n","step = 2\n","\tval = 2.534e+00\n","\tnorm(grad) = 2.052e-01\n","step = 3\n","\tval = 3.147e+00\n","\tnorm(grad) = 2.230e-01\n","step = 4\n","\tval = 3.805e+00\n","\tnorm(grad) = 2.377e-01\n","step = 5\n","\tval = 4.497e+00\n","\tnorm(grad) = 2.492e-01\n","step = 6\n","\tval = 5.213e+00\n","\tnorm(grad) = 2.569e-01\n","step = 7\n","\tval = 5.938e+00\n","\tnorm(grad) = 2.612e-01\n","step = 8\n","\tval = 6.661e+00\n","\tnorm(grad) = 2.625e-01\n","step = 9\n","\tval = 7.369e+00\n","\tnorm(grad) = 2.612e-01\n","step = 10\n","\tval = 8.058e+00\n","\tnorm(grad) = 2.585e-01\n","step = 11\n","\tval = 8.725e+00\n","\tnorm(grad) = 2.550e-01\n","step = 12\n","\tval = 9.367e+00\n","\tnorm(grad) = 2.505e-01\n","step = 13\n","\tval = 9.988e+00\n","\tnorm(grad) = 2.453e-01\n","step = 14\n","\tval = 1.058e+01\n","\tnorm(grad) = 2.389e-01\n","step = 15\n","\tval = 1.115e+01\n","\tnorm(grad) = 2.313e-01\n","step = 16\n","\tval = 1.170e+01\n","\tnorm(grad) = 2.234e-01\n","step = 17\n","\tval = 1.221e+01\n","\tnorm(grad) = 2.140e-01\n","step = 18\n","\tval = 1.268e+01\n","\tnorm(grad) = 2.055e-01\n","step = 19\n","\tval = 1.313e+01\n","\tnorm(grad) = 1.951e-01\n","step = 20\n","\tval = 1.354e+01\n","\tnorm(grad) = 1.863e-01\n","step = 21\n","\tval = 1.391e+01\n","\tnorm(grad) = 1.754e-01\n","step = 22\n","\tval = 1.428e+01\n","\tnorm(grad) = 1.641e-01\n","step = 23\n","\tval = 1.461e+01\n","\tnorm(grad) = 1.539e-01\n","step = 24\n","\tval = 1.491e+01\n","\tnorm(grad) = 1.455e-01\n","step = 25\n","\tval = 1.519e+01\n","\tnorm(grad) = 1.326e-01\n","step = 26\n","\tval = 1.545e+01\n","\tnorm(grad) = 1.247e-01\n","step = 27\n","\tval = 1.569e+01\n","\tnorm(grad) = 1.142e-01\n","step = 28\n","\tval = 1.590e+01\n","\tnorm(grad) = 1.065e-01\n","step = 29\n","\tval = 1.611e+01\n","\tnorm(grad) = 9.667e-02\n","step = 30\n","\tval = 1.629e+01\n","\tnorm(grad) = 9.045e-02\n","step = 31\n","\tval = 1.646e+01\n","\tnorm(grad) = 8.170e-02\n","step = 32\n","\tval = 1.661e+01\n","\tnorm(grad) = 7.599e-02\n","step = 33\n","\tval = 1.675e+01\n","\tnorm(grad) = 6.905e-02\n","step = 34\n","\tval = 1.688e+01\n","\tnorm(grad) = 6.418e-02\n","step = 35\n","\tval = 1.699e+01\n","\tnorm(grad) = 5.849e-02\n"]}],"source":["import optax\n","\n","optimizer = optax.adam(learning_rate=step_size, b1=0.0, b2=0.0)\n","\n","params_i = PARAMS0.copy()\n","eps_i = params_to_eps(params_i)\n","sim_i = make_sim(eps_i, incl_fld_mnt=True)\n","\n","opt_state = optimizer.init(params_i)\n","\n","# lists to store the values and parameters\n","param_vals = []\n","obj_fn_vals = []\n","grad_norm_vals = []\n","sims = [sim_i]\n","sim_datas = [sim_data_initial]\n","\n","for i in range(num_steps):\n","    print(f'step = {i + 1}')\n","\n","    # compute gradient\n","    (val_i, sim_data_i), grad_i = val_and_grad_fn_normalized(params_i)\n","\n","    # update\n","    updates, opt_state = optimizer.update(-grad_i, opt_state, params_i)\n","    params_i = optax.apply_updates(params_i, updates)\n","\n","    grad_norm_i = jnp.linalg.norm(grad_i)\n","\n","    # print status\n","    print(f'\\tval = {val_i:.3e}')\n","    print(f'\\tnorm(grad) = {grad_norm_i:.3e}')\n","\n","    # store history\n","    obj_fn_vals.append(val_i)\n","    param_vals.append(params_i.copy())\n","    grad_norm_vals.append(grad_norm_i)\n","\n","    eps_i = params_to_eps(params_i)\n","    sim_i = make_sim(eps_i, incl_fld_mnt=True)\n","    sims.append(sim_i)\n","    sim_datas.append(sim_data_i)\n",""]},{"cell_type":"markdown","id":"422ea7ec-c44a-4f40-8d9d-eaba30c86d86","metadata":{"id":"422ea7ec-c44a-4f40-8d9d-eaba30c86d86"},"source":["Let's visualize the optimization results and the final fields!"]},{"cell_type":"code","execution_count":null,"id":"ec394736-1216-4764-9bca-6db2e5356fed","metadata":{"id":"ec394736-1216-4764-9bca-6db2e5356fed","outputId":"5b24a8e0-5571-45eb-e174-100e96c69efb"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 4))\n","\n","iters = np.arange(1, len(obj_fn_vals) + 1)\n","\n","ax1.plot(iters, obj_fn_vals)\n","ax1.set_xlabel('iteration number')\n","ax1.set_ylabel('objective function value')\n","ax1.set_title('optimization progress')\n","\n","ax2.plot(iters, grad_norm_vals)\n","ax2.set_xlabel('norm(grad)')\n","ax2.set_ylabel('norm of gradient vector')\n","ax2.set_title('gradient decay')\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"id":"fc5153d6-ef20-4f5a-ba63-9b5f41cac5f7","metadata":{"id":"fc5153d6-ef20-4f5a-ba63-9b5f41cac5f7","outputId":"cbbe1e03-be0a-4db5-895e-893a147bd439"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["params_final = param_vals[-1]\n","sim_final = make_sim(params_to_eps(params_final), incl_fld_mnt=True)\n","ax = sim_final.plot_eps(z=0, monitor_alpha=0.0)"]},{"cell_type":"code","execution_count":null,"id":"5febd860-f98f-4974-ab99-1f20d0e977ea","metadata":{"colab":{"referenced_widgets":["ac9e258773804aae8f39a06218b0209e","5b6fe59934104f359dad6adeea7533c2","","fcd2c3f5eda3406c9e9d5591c8bc1c46","a041ede3a5b348c49b2c101a697eda9d"]},"id":"5febd860-f98f-4974-ab99-1f20d0e977ea","outputId":"7a89ff73-40e9-4529-c329-acf6c253694c"},"outputs":[{"data":{"text/html":["
[14:59:57] Created task 'lens_final' with task_id 'fdve-1d12301f-668a-462b-82d5-45d819cf54dav1'.      webapi.py:189\n","
\n"],"text/plain":["\u001b[2;36m[14:59:57]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'lens_final'\u001b[0m with task_id \u001b[32m'fdve-1d12301f-668a-462b-82d5-45d819cf54dav1'\u001b[0m.      \u001b]8;id=930779;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=494968;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#189\u001b\\\u001b[2m189\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           View task using web UI at                                                                  webapi.py:191\n","           'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d12301f-668a-462b-82d5-45d819cf54d              \n","           av1'.                                                                                                   \n","
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[14:59:59] status = queued                                                                            webapi.py:363\n","
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[15:00:03] status = preprocess                                                                        webapi.py:357\n","
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[15:00:07] Maximum FlexCredit cost: 0.025. Use 'web.real_cost(task_id)' to get the billed FlexCredit  webapi.py:343\n","           cost after a simulation run.                                                                            \n","
\n"],"text/plain":["\u001b[2;36m[15:00:07]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit  \u001b]8;id=582951;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=771214;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#343\u001b\\\u001b[2m343\u001b[0m\u001b]8;;\u001b\\\n","\u001b[2;36m           \u001b[0mcost after a simulation run.                                                               \u001b[2m             \u001b[0m\n"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["
           starting up solver                                                                         webapi.py:379\n","
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           running solver                                                                             webapi.py:388\n","
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           To cancel the simulation, use 'web.abort(task_id)' or 'web.delete(task_id)' or             webapi.py:389\n","           abort/delete the task in the web UI. Terminating the Python script will not stop the job                \n","           running on the cloud.                                                                                   \n","
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[15:00:13] early shutoff detected, exiting.                                                           webapi.py:406\n","
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           status = postprocess                                                                       webapi.py:421\n","
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[15:00:18] status = success                                                                           webapi.py:428\n","
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[15:00:19] loading SimulationData from data/lens_final.hdf5                                           webapi.py:606\n","
\n"],"text/plain":["\u001b[2;36m[15:00:19]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data/lens_final.hdf5                                           \u001b]8;id=174974;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=16467;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#606\u001b\\\u001b[2m606\u001b[0m\u001b]8;;\u001b\\\n"]},"metadata":{},"output_type":"display_data"}],"source":["sim_data_final = run(sim_final, task_name=\"lens_final\", path='data/lens_final.hdf5')"]},{"cell_type":"code","execution_count":null,"id":"d7426429-506c-471b-8ca4-c7c04b846925","metadata":{"id":"d7426429-506c-471b-8ca4-c7c04b846925","outputId":"ae95e1d6-18ad-4489-8b38-86eaf494b2fb"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 4))\n","\n","sim_data_initial.plot_field('field', 'E', 'abs^2', ax=ax1)\n","sim_data_final.plot_field('field', 'E', 'abs^2', ax=ax2)\n","\n","x_meas, y_meas = list(focus_mnt.center)[:2]\n","\n","ax1.scatter(x_meas, y_meas, s=80, c=\"white\", linewidth=2.0, edgecolor='black')\n","ax2.scatter(x_meas, y_meas, s=80, c=\"white\", linewidth=2.0, edgecolor='black')\n","\n","ax1.set_title('starting device')\n","ax2.set_title('optimized device')\n","\n","plt.show()"]},{"cell_type":"code","execution_count":null,"id":"715c5088-925a-4ab9-a85e-2114c54ce905","metadata":{"id":"715c5088-925a-4ab9-a85e-2114c54ce905","outputId":"f3a95a9d-15b8-4ae5-fc8d-391c85a809f4"},"outputs":[{"data":{"text/html":["\n","\n","\n","\n","\n","\n","
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"]},"metadata":{},"output_type":"display_data"}],"source":["import matplotlib.animation as animation\n","from IPython.display import HTML\n","\n","fig, (ax_eps, ax_ez, ax_int) = plt.subplots(1, 3, tight_layout=True, figsize=(10, 3))\n","\n","def animate(i):\n","    sim_i = sims[i]\n","    sim_data_i = sim_datas[i]\n","\n","    sim_i = sim_i.updated_copy(structures=list(sim_i.structures) + [td.Structure(geometry=td.Box(size=(0.001,0.001,0.1), center=focus_mnt.center), medium=td.Medium(permittivity=eps_lens))])\n","    sim_i.plot_eps(z=0, monitor_alpha=0.0, ax=ax_eps)\n","    sim_data_i[MNT_NAME_FIELD].Ez.real.squeeze().plot.pcolormesh(x='x', y='y', ax=ax_ez, add_colorbar=False)\n","    sim_data_i.get_intensity(MNT_NAME_FIELD).real.squeeze().plot.pcolormesh(x='x', y='y', ax=ax_int, add_colorbar=False, cmap=\"magma\", vmax=0.3e8)#, aspect=\"equal\")\n","\n","# create animation\n","ani = animation.FuncAnimation(fig, animate, frames=len(sims));\n","plt.close()\n","\n","# display the animation\n","HTML(ani.to_jshtml())\n"]},{"cell_type":"code","execution_count":null,"id":"865d41df-aef7-4f3b-8669-ee5615981e81","metadata":{"id":"865d41df-aef7-4f3b-8669-ee5615981e81","outputId":"9a56bcb3-b78f-4560-8aa9-d3e229cf84d1"},"outputs":[{"name":"stderr","output_type":"stream","text":["MovieWriter imagemagick unavailable; using Pillow instead.\n"]},{"data":{"text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["ani.save('animation_basic.gif', writer='imagemagick', fps=60)"]},{"cell_type":"code","execution_count":null,"id":"d726e5eb-1c47-490f-89e4-fa4a5502ebb8","metadata":{"id":"d726e5eb-1c47-490f-89e4-fa4a5502ebb8"},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"id":"2e5874c8-ce69-4e48-804a-f640adca4fe1","metadata":{"id":"2e5874c8-ce69-4e48-804a-f640adca4fe1"},"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":"3.10.9"},"colab":{"provenance":[]}},"nbformat":4,"nbformat_minor":5}