{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "830f080b", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:44:24.452613Z", "iopub.status.busy": "2026-10-02T14:44:24.452440Z", "iopub.status.idle": "2026-10-02T14:44:24.456438Z", "shell.execute_reply": "2026-10-02T14:44:24.455937Z" }, "papermill": { "duration": 0.006524, "end_time": "2026-10-02T14:44:24.457031+00:00", "exception": false, "start_time": "2026-10-02T14:44:24.450507+00:00", "status": "completed" }, "tags": [ "remove-input", "active-ipynb", "remove-output" ] }, "outputs": [], "source": [ "try:\n", " from openmdao.utils.notebook_utils import notebook_mode # noqa: F401\n", "except ImportError:\n", " !python -m pip install openmdao[notebooks]" ] }, { "cell_type": "markdown", "id": "bfad48b7", "metadata": { "papermill": { "duration": 0.000759, "end_time": "2026-10-02T14:44:24.458873+00:00", "exception": false, "start_time": "2026-10-02T14:44:24.458114+00:00", "status": "completed" }, "tags": [] }, "source": [ "# Driver Debug Printing\n", "\n", "When working with a model, it may sometimes be helpful to print out the design variables, constraints, and objectives as the `Driver` iterates. OpenMDAO provides options on the Driver to let you do that.\n", "\n", "\n", "## Driver Options" ] }, { "cell_type": "code", "execution_count": 2, "id": "a680118f", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:44:24.461233Z", "iopub.status.busy": "2026-10-02T14:44:24.461087Z", "iopub.status.idle": "2026-10-02T14:44:25.828011Z", "shell.execute_reply": "2026-10-02T14:44:25.827543Z" }, "papermill": { "duration": 1.368851, "end_time": "2026-10-02T14:44:25.828511+00:00", "exception": false, "start_time": "2026-10-02T14:44:24.459660+00:00", "status": "completed" }, "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", " \n", "\n", "\n", "

\n", " \n", " \n", " \n", " \n", "
OptionDefaultAcceptable ValuesAcceptable TypesDescription
debug_print[]['desvars', 'nl_cons', 'ln_cons', 'objs', 'totals']['list']List of what type of Driver variables to print at each iteration.
invalid_desvar_behaviorwarn['warn', 'raise', 'ignore']N/ABehavior of driver if the initial value of a design variable exceeds its bounds. The default value may beset using the `OPENMDAO_INVALID_DESVAR_BEHAVIOR` environment variable to one of the valid options.
\n", "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import openmdao.api as om\n", "om.show_options_table(\"openmdao.core.driver.Driver\")" ] }, { "cell_type": "markdown", "id": "ac294b7e", "metadata": { "papermill": { "duration": 0.001157, "end_time": "2026-10-02T14:44:25.831125+00:00", "exception": false, "start_time": "2026-10-02T14:44:25.829968+00:00", "status": "completed" }, "tags": [] }, "source": [ "## Usage\n", "\n", "This example shows how to use the `Driver` debug printing options. The `debug_print` option is a list of strings. Valid strings include ‘desvars’, ‘ln_cons’, ‘nl_cons’, and ‘objs’. Note that the values for the design variables printed are unscaled, physical values." ] }, { "cell_type": "code", "execution_count": 3, "id": "c268cab0", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:44:26.077807Z", "iopub.status.busy": "2026-10-02T14:44:26.077308Z", "iopub.status.idle": "2026-10-02T14:44:27.061791Z", "shell.execute_reply": "2026-10-02T14:44:27.061025Z" }, "papermill": { "duration": 1.149139, "end_time": "2026-10-02T14:44:27.062509+00:00", "exception": false, "start_time": "2026-10-02T14:44:25.913370+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "data": { "application/papermill.record/text/html": "
class Paraboloid(om.ExplicitComponent):\n    """\n    Evaluates the equation f(x,y) = (x-3)^2 + xy + (y+4)^2 - 3.\n    """\n\n    def setup(self):\n        self.add_input('x', val=0.0)\n        self.add_input('y', val=0.0)\n\n        self.add_output('f_xy', val=0.0)\n\n    def setup_partials(self):\n        self.declare_partials('*', '*')\n\n    def compute(self, inputs, outputs):\n        """\n        f(x,y) = (x-3)^2 + xy + (y+4)^2 - 3\n\n        Optimal solution (minimum): x = 6.6667; y = -7.3333\n        """\n        x = inputs['x']\n        y = inputs['y']\n\n        outputs['f_xy'] = (x-3.0)**2 + x*y + (y+4.0)**2 - 3.0\n\n    def compute_partials(self, inputs, partials):\n        """\n        Jacobian for our paraboloid.\n        """\n        x = inputs['x']\n        y = inputs['y']\n\n        partials['f_xy', 'x'] = 2.0*x - 6.0 + y\n        partials['f_xy', 'y'] = 2.0*y + 8.0 + x\n
\n", "application/papermill.record/text/latex": "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n\\PY{k}{class}\\PY{+w}{ }\\PY{n+nc}{Paraboloid}\\PY{p}{(}\\PY{n}{om}\\PY{o}{.}\\PY{n}{ExplicitComponent}\\PY{p}{)}\\PY{p}{:}\n\\PY{+w}{ }\\PY{l+s+sd}{\\PYZdq{}\\PYZdq{}\\PYZdq{}}\n\\PY{l+s+sd}{ Evaluates the equation f(x,y) = (x\\PYZhy{}3)\\PYZca{}2 + xy + (y+4)\\PYZca{}2 \\PYZhy{} 3.}\n\\PY{l+s+sd}{ \\PYZdq{}\\PYZdq{}\\PYZdq{}}\n\n \\PY{k}{def}\\PY{+w}{ }\\PY{n+nf}{setup}\\PY{p}{(}\\PY{n+nb+bp}{self}\\PY{p}{)}\\PY{p}{:}\n \\PY{n+nb+bp}{self}\\PY{o}{.}\\PY{n}{add\\PYZus{}input}\\PY{p}{(}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{x}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{,} \\PY{n}{val}\\PY{o}{=}\\PY{l+m+mf}{0.0}\\PY{p}{)}\n \\PY{n+nb+bp}{self}\\PY{o}{.}\\PY{n}{add\\PYZus{}input}\\PY{p}{(}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{y}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{,} \\PY{n}{val}\\PY{o}{=}\\PY{l+m+mf}{0.0}\\PY{p}{)}\n\n \\PY{n+nb+bp}{self}\\PY{o}{.}\\PY{n}{add\\PYZus{}output}\\PY{p}{(}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{f\\PYZus{}xy}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{,} \\PY{n}{val}\\PY{o}{=}\\PY{l+m+mf}{0.0}\\PY{p}{)}\n\n \\PY{k}{def}\\PY{+w}{ }\\PY{n+nf}{setup\\PYZus{}partials}\\PY{p}{(}\\PY{n+nb+bp}{self}\\PY{p}{)}\\PY{p}{:}\n \\PY{n+nb+bp}{self}\\PY{o}{.}\\PY{n}{declare\\PYZus{}partials}\\PY{p}{(}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{*}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{,} \\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{*}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{)}\n\n \\PY{k}{def}\\PY{+w}{ }\\PY{n+nf}{compute}\\PY{p}{(}\\PY{n+nb+bp}{self}\\PY{p}{,} \\PY{n}{inputs}\\PY{p}{,} \\PY{n}{outputs}\\PY{p}{)}\\PY{p}{:}\n\\PY{+w}{ }\\PY{l+s+sd}{\\PYZdq{}\\PYZdq{}\\PYZdq{}}\n\\PY{l+s+sd}{ f(x,y) = (x\\PYZhy{}3)\\PYZca{}2 + xy + (y+4)\\PYZca{}2 \\PYZhy{} 3}\n\n\\PY{l+s+sd}{ Optimal solution (minimum): x = 6.6667; y = \\PYZhy{}7.3333}\n\\PY{l+s+sd}{ \\PYZdq{}\\PYZdq{}\\PYZdq{}}\n \\PY{n}{x} \\PY{o}{=} \\PY{n}{inputs}\\PY{p}{[}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{x}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{]}\n \\PY{n}{y} \\PY{o}{=} \\PY{n}{inputs}\\PY{p}{[}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{y}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{]}\n\n \\PY{n}{outputs}\\PY{p}{[}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{f\\PYZus{}xy}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{]} \\PY{o}{=} \\PY{p}{(}\\PY{n}{x}\\PY{o}{\\PYZhy{}}\\PY{l+m+mf}{3.0}\\PY{p}{)}\\PY{o}{*}\\PY{o}{*}\\PY{l+m+mi}{2} \\PY{o}{+} \\PY{n}{x}\\PY{o}{*}\\PY{n}{y} \\PY{o}{+} \\PY{p}{(}\\PY{n}{y}\\PY{o}{+}\\PY{l+m+mf}{4.0}\\PY{p}{)}\\PY{o}{*}\\PY{o}{*}\\PY{l+m+mi}{2} \\PY{o}{\\PYZhy{}} \\PY{l+m+mf}{3.0}\n\n \\PY{k}{def}\\PY{+w}{ }\\PY{n+nf}{compute\\PYZus{}partials}\\PY{p}{(}\\PY{n+nb+bp}{self}\\PY{p}{,} \\PY{n}{inputs}\\PY{p}{,} \\PY{n}{partials}\\PY{p}{)}\\PY{p}{:}\n\\PY{+w}{ }\\PY{l+s+sd}{\\PYZdq{}\\PYZdq{}\\PYZdq{}}\n\\PY{l+s+sd}{ Jacobian for our paraboloid.}\n\\PY{l+s+sd}{ \\PYZdq{}\\PYZdq{}\\PYZdq{}}\n \\PY{n}{x} \\PY{o}{=} \\PY{n}{inputs}\\PY{p}{[}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{x}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{]}\n \\PY{n}{y} \\PY{o}{=} \\PY{n}{inputs}\\PY{p}{[}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{y}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{]}\n\n \\PY{n}{partials}\\PY{p}{[}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{f\\PYZus{}xy}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{,} \\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{x}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{]} \\PY{o}{=} \\PY{l+m+mf}{2.0}\\PY{o}{*}\\PY{n}{x} \\PY{o}{\\PYZhy{}} \\PY{l+m+mf}{6.0} \\PY{o}{+} \\PY{n}{y}\n \\PY{n}{partials}\\PY{p}{[}\\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{f\\PYZus{}xy}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{,} \\PY{l+s+s1}{\\PYZsq{}}\\PY{l+s+s1}{y}\\PY{l+s+s1}{\\PYZsq{}}\\PY{p}{]} \\PY{o}{=} \\PY{l+m+mf}{2.0}\\PY{o}{*}\\PY{n}{y} \\PY{o}{+} \\PY{l+m+mf}{8.0} \\PY{o}{+} \\PY{n}{x}\n\\end{Verbatim}\n", "application/papermill.record/text/plain": "class Paraboloid(om.ExplicitComponent):\n \"\"\"\n Evaluates the equation f(x,y) = (x-3)^2 + xy + (y+4)^2 - 3.\n \"\"\"\n\n def setup(self):\n self.add_input('x', val=0.0)\n self.add_input('y', val=0.0)\n\n self.add_output('f_xy', val=0.0)\n\n def setup_partials(self):\n self.declare_partials('*', '*')\n\n def compute(self, inputs, outputs):\n \"\"\"\n f(x,y) = (x-3)^2 + xy + (y+4)^2 - 3\n\n Optimal solution (minimum): x = 6.6667; y = -7.3333\n \"\"\"\n x = inputs['x']\n y = inputs['y']\n\n outputs['f_xy'] = (x-3.0)**2 + x*y + (y+4.0)**2 - 3.0\n\n def compute_partials(self, inputs, partials):\n \"\"\"\n Jacobian for our paraboloid.\n \"\"\"\n x = inputs['x']\n y = inputs['y']\n\n partials['f_xy', 'x'] = 2.0*x - 6.0 + y\n partials['f_xy', 'y'] = 2.0*y + 8.0 + x" }, "metadata": { "scrapbook": { "mime_prefix": "application/papermill.record/", "name": "code_src66" } }, "output_type": "display_data" } ], "source": [ "from openmdao.utils.notebook_utils import get_code\n", "from myst_nb import glue\n", "glue(\"code_src66\", get_code(\"openmdao.test_suite.components.paraboloid.Paraboloid\"), display=False)" ] }, { "cell_type": "markdown", "id": "2f7d3eda", "metadata": { "papermill": { "duration": 0.082819, "end_time": "2026-10-02T14:44:27.146578+00:00", "exception": false, "start_time": "2026-10-02T14:44:27.063759+00:00", "status": "completed" }, "tags": [] }, "source": [ ":::{dropdown} `Paraboloid` class definition \n", "\n", "{glue:}`code_src66`\n", ":::" ] }, { "cell_type": "code", "execution_count": 4, "id": "a8652065", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:44:27.180913Z", "iopub.status.busy": "2026-10-02T14:44:27.180611Z", "iopub.status.idle": "2026-10-02T14:44:28.465580Z", "shell.execute_reply": "2026-10-02T14:44:28.465030Z" }, "papermill": { "duration": 1.318814, "end_time": "2026-10-02T14:44:28.466668+00:00", "exception": false, "start_time": "2026-10-02T14:44:27.147854+00:00", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1790952268.406976] [runnervm8df0l:8527 :0] ib_iface.c:1269 UCX ERROR mana_0: iface 0x55f1da97bad0 failed to create UD QP TX wr:256 sge:6 inl:64 resp:0 RX wr:4096 sge:1 resp:0 failed: Operation not supported\n", "[1790952268.407231] [runnervm8df0l:8527 :0] ucp_worker.c:1412 UCX ERROR uct_iface_open(ud_verbs/mana_0:1) failed: Input/output error\n", "Driver debug print for iter coord: rank0:ScipyOptimize_SLSQP|0\n", "--------------------------------------------------------------\n", "Design Vars\n", "{'x': array([50.]), 'y': array([50.])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Nonlinear constraints\n", "{'c': array([0.])}\n", "\n", "Linear constraints\n", "None\n", "\n", "Objectives\n", "{'f_xy': array([7622.])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Driver debug print for iter coord: rank0:ScipyOptimize_SLSQP|1\n", "--------------------------------------------------------------\n", "Design Vars\n", "{'x': array([50.]), 'y': array([50.])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Nonlinear constraints\n", "{'c': array([0.])}\n", "\n", "Linear constraints\n", "None\n", "\n", "Objectives\n", "{'f_xy': array([7622.])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Driver debug print for iter coord: rank0:ScipyOptimize_SLSQP|2\n", "--------------------------------------------------------------\n", "Design Vars\n", "{'x': array([-35.]), 'y': array([-50.])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Nonlinear constraints\n", "{'c': array([-15.])}\n", "\n", "Linear constraints\n", "None\n", "\n", "Objectives\n", "{'f_xy': array([5307.])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Driver debug print for iter coord: rank0:ScipyOptimize_SLSQP|3\n", "--------------------------------------------------------------\n", "Design Vars\n", "{'x': array([7.16706813]), 'y': array([-7.83293187])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Nonlinear constraints\n", "{'c': array([-15.])}\n", "\n", "Linear constraints\n", "None\n", "\n", "Objectives\n", "{'f_xy': array([-27.08333285])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Driver debug print for iter coord: rank0:ScipyOptimize_SLSQP|4\n", "--------------------------------------------------------------\n", "Design Vars\n", "{'x': array([7.16666667]), 'y': array([-7.83333333])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Nonlinear constraints\n", "{'c': array([-15.])}\n", "\n", "Linear constraints\n", "None\n", "\n", "Objectives\n", "{'f_xy': array([-27.08333333])}\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[runnervm8df0l:08527] pml_ucx.c:313 Error: Failed to create UCP worker\n" ] }, { "data": { "text/plain": [ "Problem: problem\n", "Driver: ScipyOptimizeDriver\n", " success : True\n", " iterations : 5\n", " runtime : 4.4355E-02 s\n", " model_evals : 5\n", " model_time : 9.3493E-04 s\n", " deriv_evals : 4\n", " deriv_time : 3.2594E-02 s\n", " exit_status : SUCCESS" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import openmdao.api as om\n", "from openmdao.test_suite.components.paraboloid import Paraboloid\n", "\n", "prob = om.Problem()\n", "model = prob.model\n", "\n", "model.add_subsystem('comp', Paraboloid(), promotes=['*'])\n", "model.add_subsystem('con', om.ExecComp('c = - x + y'), promotes=['*'])\n", "\n", "model.set_input_defaults('x', 50.0)\n", "model.set_input_defaults('y', 50.0)\n", "\n", "prob.set_solver_print(level=0)\n", "\n", "prob.driver = om.ScipyOptimizeDriver()\n", "prob.driver.options['optimizer'] = 'SLSQP'\n", "prob.driver.options['tol'] = 1e-9\n", "prob.driver.options['disp'] = False\n", "\n", "prob.driver.options['debug_print'] = ['desvars','ln_cons','nl_cons','objs']\n", "\n", "model.add_design_var('x', lower=-50.0, upper=50.0)\n", "model.add_design_var('y', lower=-50.0, upper=50.0)\n", "model.add_objective('f_xy')\n", "model.add_constraint('c', upper=-15.0)\n", "\n", "prob.setup()\n", "\n", "prob.run_driver()\n" ] }, { "cell_type": "markdown", "id": "61c88f8e", "metadata": { "papermill": { "duration": 0.002224, "end_time": "2026-10-02T14:44:28.470954+00:00", "exception": false, "start_time": "2026-10-02T14:44:28.468730+00:00", "status": "completed" }, "tags": [] }, "source": [ "We can also use the debug printing to print some basic information about the derivative calculations so that you can see which derivative is being solved, how long it takes, and the computed values by including the ‘totals’ string in the “debug_print” list." ] }, { "cell_type": "code", "execution_count": 5, "id": "492b869a", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:44:28.592473Z", "iopub.status.busy": "2026-10-02T14:44:28.592021Z", "iopub.status.idle": "2026-10-02T14:44:28.618623Z", "shell.execute_reply": "2026-10-02T14:44:28.617957Z" }, "papermill": { "duration": 0.030684, "end_time": "2026-10-02T14:44:28.619403+00:00", "exception": false, "start_time": "2026-10-02T14:44:28.588719+00:00", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Driver total derivatives for iteration: 2\n", "-----------------------------------------\n", "\n", "In mode: fwd.\n", "('x', [0])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Elapsed Time: 0.00025904199992510257 secs\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "In mode: fwd.\n", "('y', [1])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Elapsed Time: 0.00018405399998755456 secs\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "{('f_xy', 'x'): array([[144.]])}\n", "{('f_xy', 'y'): array([[158.]])}\n", "{('c', 'x'): array([[-1.]])}\n", "{('c', 'y'): array([[1.]])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Driver total derivatives for iteration: 3\n", "-----------------------------------------\n", "\n", "In mode: fwd.\n", "('x', [0])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Elapsed Time: 0.00015852600006383 secs\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "In mode: fwd.\n", "('y', [1])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Elapsed Time: 0.00014337900006466953 secs\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "{('f_xy', 'x'): array([[-126.]])}\n", "{('f_xy', 'y'): array([[-127.]])}\n", "{('c', 'x'): array([[-1.]])}\n", "{('c', 'y'): array([[1.]])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Driver total derivatives for iteration: 4\n", "-----------------------------------------\n", "\n", "In mode: fwd.\n", "('x', [0])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Elapsed Time: 0.00018654699999842705 secs\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "In mode: fwd.\n", "('y', [1])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Elapsed Time: 0.0001304499999150721 secs\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "{('f_xy', 'x'): array([[0.50120438]])}\n", "{('f_xy', 'y'): array([[-0.49879562]])}\n", "{('c', 'x'): array([[-1.]])}\n", "{('c', 'y'): array([[1.]])}\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Driver total derivatives for iteration: 5\n", "-----------------------------------------\n", "\n", "In mode: fwd.\n", "('x', [0])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Elapsed Time: 0.00016180800002985052 secs\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "In mode: fwd.\n", "('y', [1])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Elapsed Time: 0.00012904599998364574 secs\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "{('f_xy', 'x'): array([[0.5]])}\n", "{('f_xy', 'y'): array([[-0.5]])}\n", "{('c', 'x'): array([[-1.]])}\n", "{('c', 'y'): array([[1.]])}\n", "\n" ] }, { "data": { "text/plain": [ "Problem: problem2\n", "Driver: ScipyOptimizeDriver\n", " success : True\n", " iterations : 5\n", " runtime : 1.5434E-02 s\n", " model_evals : 5\n", " model_time : 6.9401E-04 s\n", " deriv_evals : 4\n", " deriv_time : 1.1649E-02 s\n", " exit_status : SUCCESS" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import openmdao.api as om\n", "from openmdao.test_suite.components.paraboloid import Paraboloid\n", "\n", "prob = om.Problem()\n", "model = prob.model\n", "\n", "model.add_subsystem('comp', Paraboloid(), promotes=['*'])\n", "model.add_subsystem('con', om.ExecComp('c = - x + y'), promotes=['*'])\n", "\n", "model.set_input_defaults('x', 50.0)\n", "model.set_input_defaults('y', 50.0)\n", "\n", "prob.set_solver_print(level=0)\n", "\n", "prob.driver = om.ScipyOptimizeDriver()\n", "prob.driver.options['optimizer'] = 'SLSQP'\n", "prob.driver.options['tol'] = 1e-9\n", "prob.driver.options['disp'] = False\n", "\n", "prob.driver.options['debug_print'] = ['totals']\n", "\n", "model.add_design_var('x', lower=-50.0, upper=50.0)\n", "model.add_design_var('y', lower=-50.0, upper=50.0)\n", "model.add_objective('f_xy')\n", "model.add_constraint('c', upper=-15.0)\n", "\n", "prob.setup()\n", "\n", "prob.run_driver()" ] } ], "metadata": { "celltoolbar": "Tags", "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": "3.13.14" }, "orphan": true, "papermill": { "default_parameters": {}, "duration": 5.539127, "end_time": "2026-10-02T14:44:29.337610+00:00", "environment_variables": {}, "exception": null, "input_path": "/home/runner/work/OpenMDAO/OpenMDAO/openmdao/docs/openmdao_book/features/debugging/debugging_drivers.ipynb", "output_path": "/home/runner/work/OpenMDAO/OpenMDAO/openmdao/docs/_executed_book/features/debugging/debugging_drivers.ipynb", "parameters": {}, "start_time": "2026-10-02T14:44:23.798483+00:00", "version": "2.7.0" } }, "nbformat": 4, "nbformat_minor": 5 }