diff --git a/docs/benchmarks/taylor_fitzhughnagumo/plot.ipynb b/docs/benchmarks/taylor_fitzhughnagumo/plot.ipynb index aeadf8a8..67ef2402 100644 --- a/docs/benchmarks/taylor_fitzhughnagumo/plot.ipynb +++ b/docs/benchmarks/taylor_fitzhughnagumo/plot.ipynb @@ -54,20 +54,43 @@ "\n", "def plot_results(axis_compile, axis_perform, results):\n", " \"\"\"Plot the results.\"\"\"\n", + " style_curve = {\"alpha\": 0.85, \"markersize\": 5}\n", + " style_area = {\"alpha\": 0.15}\n", " for label, wp in results.items():\n", " style = choose_style(label)\n", "\n", " inputs = wp[\"arguments\"]\n", - " work_mean = wp[\"work_compile\"]\n", - " axis_compile.semilogy(inputs, work_mean, label=label, **style)\n", - "\n", + " work_compile = wp[\"work_compile\"]\n", " work_mean, work_std = wp[\"work_mean\"], wp[\"work_std\"]\n", - " work_min, work_max = (wp[\"work_min\"], wp[\"work_max\"])\n", + "\n", + " if \"doubling\" in label:\n", + " num_repeats = jnp.diff(jnp.concatenate((jnp.ones((1,)), inputs)))\n", + " inputs = jnp.arange(1, jnp.amax(inputs) * 1)\n", + " work_compile = _adaptive_repeat(work_compile, num_repeats)\n", + " work_mean = _adaptive_repeat(work_mean, num_repeats)\n", + " work_std = _adaptive_repeat(work_std, num_repeats)\n", + " axis_perform.set_xticks(inputs[::2])\n", + "\n", + " axis_compile.semilogy(inputs, work_compile, label=label, **style, **style_curve)\n", + "\n", " range_lower, range_upper = work_mean - work_std, work_mean + work_std\n", - " axis_perform.semilogy(inputs, work_mean, label=label, **style)\n", - " axis_perform.fill_between(inputs, range_lower, range_upper, alpha=0.3, **style)\n", + " axis_perform.semilogy(inputs, work_mean, label=label, **style, **style_curve)\n", + " axis_perform.fill_between(\n", + " inputs, range_lower, range_upper, **style, **style_area\n", + " )\n", + "\n", + " axis_compile.set_xlim((1, 17))\n", + " axis_perform.set_yticks((1e-6, 1e-5, 1e-4))\n", + " axis_perform.set_ylim((7e-7, 1.5e-4))\n", + " return axis_compile, axis_perform\n", + "\n", "\n", - " return axis_compile, axis_perform" + "def _adaptive_repeat(xs, ys):\n", + " \"\"\"Repeat the doubling values correctly to create a comprehensible plot.\"\"\"\n", + " zs = []\n", + " for x, y in zip(xs, ys):\n", + " zs.extend([x] * int(y))\n", + " return jnp.asarray(zs)" ] }, { @@ -81,12 +104,12 @@ "output_type": "stream", "text": [ "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", - "I0000 00:00:1696354979.541122 406195 tfrt_cpu_pjrt_client.cc:349] TfrtCpuClient created.\n" + "I0000 00:00:1696406136.939310 453475 tfrt_cpu_pjrt_client.cc:349] TfrtCpuClient created.\n" ] }, { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -99,7 +122,7 @@ "plt.rcParams.update(notebook.plot_config())\n", "\n", "fig, (axis_perform, axis_compile) = plt.subplots(\n", - " ncols=2, dpi=150, figsize=(8, 3), sharex=True, tight_layout=True\n", + " ncols=2, dpi=150, figsize=(8, 3), sharex=True, constrained_layout=True\n", ")\n", "fig.suptitle(\"FitzHugh-Nagumo problem, Taylor-series estimation\")\n", "\n", @@ -108,7 +131,7 @@ "\n", "axis_compile.set_title(\"Compile time\")\n", "axis_perform.set_title(\"Evaluation time\")\n", - "axis_perform.legend()\n", + "axis_perform.legend(loc=\"lower right\")\n", "axis_compile.set_xlabel(\"Number of Derivatives\")\n", "axis_perform.set_xlabel(\"Number of Derivatives\")\n", "axis_perform.set_ylabel(\"Wall time (sec)\")\n", @@ -117,14 +140,6 @@ "\n", "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cf9985f0-d430-4aac-a87d-d8ec416dd373", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/docs/benchmarks/taylor_fitzhughnagumo/plot.md b/docs/benchmarks/taylor_fitzhughnagumo/plot.md index 1b1158b8..1aab77e1 100644 --- a/docs/benchmarks/taylor_fitzhughnagumo/plot.md +++ b/docs/benchmarks/taylor_fitzhughnagumo/plot.md @@ -49,27 +49,50 @@ def choose_style(label): def plot_results(axis_compile, axis_perform, results): """Plot the results.""" + style_curve = {"alpha": 0.85, "markersize": 5} + style_area = {"alpha": 0.15} for label, wp in results.items(): style = choose_style(label) inputs = wp["arguments"] - work_mean = wp["work_compile"] - axis_compile.semilogy(inputs, work_mean, label=label, **style) - + work_compile = wp["work_compile"] work_mean, work_std = wp["work_mean"], wp["work_std"] - work_min, work_max = (wp["work_min"], wp["work_max"]) - range_lower, range_upper = work_mean - work_std, work_mean + work_std - axis_perform.semilogy(inputs, work_mean, label=label, **style) - axis_perform.fill_between(inputs, range_lower, range_upper, alpha=0.3, **style) + if "doubling" in label: + num_repeats = jnp.diff(jnp.concatenate((jnp.ones((1,)), inputs))) + inputs = jnp.arange(1, jnp.amax(inputs) * 1) + work_compile = _adaptive_repeat(work_compile, num_repeats) + work_mean = _adaptive_repeat(work_mean, num_repeats) + work_std = _adaptive_repeat(work_std, num_repeats) + axis_perform.set_xticks(inputs[::2]) + + axis_compile.semilogy(inputs, work_compile, label=label, **style, **style_curve) + + range_lower, range_upper = work_mean - work_std, work_mean + work_std + axis_perform.semilogy(inputs, work_mean, label=label, **style, **style_curve) + axis_perform.fill_between( + inputs, range_lower, range_upper, **style, **style_area + ) + + axis_compile.set_xlim((1, 17)) + axis_perform.set_yticks((1e-6, 1e-5, 1e-4)) + axis_perform.set_ylim((7e-7, 1.5e-4)) return axis_compile, axis_perform + + +def _adaptive_repeat(xs, ys): + """Repeat the doubling values correctly to create a comprehensible plot.""" + zs = [] + for x, y in zip(xs, ys): + zs.extend([x] * int(y)) + return jnp.asarray(zs) ``` ```python plt.rcParams.update(notebook.plot_config()) fig, (axis_perform, axis_compile) = plt.subplots( - ncols=2, dpi=150, figsize=(8, 3), sharex=True, tight_layout=True + ncols=2, dpi=150, figsize=(8, 3), sharex=True, constrained_layout=True ) fig.suptitle("FitzHugh-Nagumo problem, Taylor-series estimation") @@ -78,7 +101,7 @@ axis_compile, axis_perform = plot_results(axis_compile, axis_perform, results) axis_compile.set_title("Compile time") axis_perform.set_title("Evaluation time") -axis_perform.legend() +axis_perform.legend(loc="lower right") axis_compile.set_xlabel("Number of Derivatives") axis_perform.set_xlabel("Number of Derivatives") axis_perform.set_ylabel("Wall time (sec)") @@ -87,7 +110,3 @@ axis_compile.grid() plt.show() ``` - -```python - -``` diff --git a/docs/benchmarks/taylor_fitzhughnagumo/results.npy b/docs/benchmarks/taylor_fitzhughnagumo/results.npy index d7b9d08f..bd857c84 100644 Binary files a/docs/benchmarks/taylor_fitzhughnagumo/results.npy and b/docs/benchmarks/taylor_fitzhughnagumo/results.npy differ diff --git a/docs/benchmarks/taylor_fitzhughnagumo/run_taylor_fitzhughnagumo.py b/docs/benchmarks/taylor_fitzhughnagumo/run_taylor_fitzhughnagumo.py index 16ae345a..c86d03a4 100644 --- a/docs/benchmarks/taylor_fitzhughnagumo/run_taylor_fitzhughnagumo.py +++ b/docs/benchmarks/taylor_fitzhughnagumo/run_taylor_fitzhughnagumo.py @@ -75,7 +75,7 @@ def taylor_mode_doubling() -> Callable: @functools.partial(jax.jit, static_argnames=["num"]) def estimate(num): - tcoeffs = autodiff.taylor_mode_doubling(vf_auto, (u0,), num=num) + tcoeffs = autodiff.taylor_mode_doubling(vf_auto, (u0,), num_doublings=num) return jax.block_until_ready(tcoeffs) return estimate @@ -111,9 +111,6 @@ def adaptive_benchmark(fun, *, timeit_fun: Callable, max_time) -> dict: work_compile = [] work_mean = [] work_std = [] - work_min = [] - work_median = [] - work_max = [] arguments = [] t0 = time.perf_counter() @@ -121,27 +118,21 @@ def adaptive_benchmark(fun, *, timeit_fun: Callable, max_time) -> dict: while (elapsed := time.perf_counter() - t0) < max_time: print("num =", arg, "| elapsed =", elapsed, "| max_time =", max_time) t0 = time.perf_counter() - _ = fun(arg) + tcoeffs = fun(arg) t1 = time.perf_counter() time_compile = t1 - t0 time_execute = timeit_fun(lambda: fun(arg)) # noqa: B023 - arguments.append(arg + 1) # plus one, because second-order problem + arguments.append(len(tcoeffs)) work_compile.append(time_compile) work_mean.append(statistics.mean(time_execute)) work_std.append(statistics.stdev(time_execute)) - work_min.append(min(time_execute)) - work_median.append(statistics.median(time_execute)) - work_max.append(max(time_execute)) arg += 1 print("num =", arg, "| elapsed =", elapsed, "| max_time =", max_time) return { - "work_median": jnp.asarray(work_median), "work_mean": jnp.asarray(work_mean), "work_std": jnp.asarray(work_std), - "work_min": jnp.asarray(work_min), - "work_max": jnp.asarray(work_max), "work_compile": jnp.asarray(work_compile), "arguments": jnp.asarray(arguments), } diff --git a/docs/benchmarks/taylor_pleiades/plot.ipynb b/docs/benchmarks/taylor_pleiades/plot.ipynb index 26b90fc8..515f4169 100644 --- a/docs/benchmarks/taylor_pleiades/plot.ipynb +++ b/docs/benchmarks/taylor_pleiades/plot.ipynb @@ -16,10 +16,10 @@ "id": "daa53abe", "metadata": { "execution": { - "iopub.execute_input": "2023-10-03T13:09:38.241381Z", - "iopub.status.busy": "2023-10-03T13:09:38.241063Z", - "iopub.status.idle": "2023-10-03T13:09:38.951898Z", - "shell.execute_reply": "2023-10-03T13:09:38.951250Z" + "iopub.execute_input": "2023-10-04T07:21:45.767181Z", + "iopub.status.busy": "2023-10-04T07:21:45.766375Z", + "iopub.status.idle": "2023-10-04T07:21:46.659606Z", + "shell.execute_reply": "2023-10-04T07:21:46.658861Z" } }, "outputs": [], @@ -41,10 +41,10 @@ "id": "6ae70671", "metadata": { "execution": { - "iopub.execute_input": "2023-10-03T13:09:38.954963Z", - "iopub.status.busy": "2023-10-03T13:09:38.954692Z", - "iopub.status.idle": "2023-10-03T13:09:38.960305Z", - "shell.execute_reply": "2023-10-03T13:09:38.959647Z" + "iopub.execute_input": "2023-10-04T07:21:46.662850Z", + "iopub.status.busy": "2023-10-04T07:21:46.662555Z", + "iopub.status.idle": "2023-10-04T07:21:46.669331Z", + "shell.execute_reply": "2023-10-04T07:21:46.668624Z" } }, "outputs": [], @@ -87,10 +87,10 @@ "id": "c6df444c-a339-40bd-ba62-6dda18b50ad6", "metadata": { "execution": { - "iopub.execute_input": "2023-10-03T13:09:38.963166Z", - "iopub.status.busy": "2023-10-03T13:09:38.962907Z", - "iopub.status.idle": "2023-10-03T13:09:40.045928Z", - "shell.execute_reply": "2023-10-03T13:09:40.045188Z" + "iopub.execute_input": "2023-10-04T07:21:46.672300Z", + "iopub.status.busy": "2023-10-04T07:21:46.672049Z", + "iopub.status.idle": "2023-10-04T07:21:47.926884Z", + "shell.execute_reply": "2023-10-04T07:21:47.926198Z" } }, "outputs": [ @@ -99,7 +99,7 @@ "output_type": "stream", "text": [ "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", - "I0000 00:00:1696338579.002870 393629 tfrt_cpu_pjrt_client.cc:349] TfrtCpuClient created.\n" + "I0000 00:00:1696404106.717187 449810 tfrt_cpu_pjrt_client.cc:349] TfrtCpuClient created.\n" ] }, { diff --git a/docs/dev_docs/changelog.md b/docs/dev_docs/changelog.md index ad67a271..7245673b 100644 --- a/docs/dev_docs/changelog.md +++ b/docs/dev_docs/changelog.md @@ -1,12 +1,25 @@ # Change log +## v0.2.1 + +**Breaking changes:** + +* The input-argument to `taylor_mode_doubling` is `num_doublings` instead of `num`. + This argument behaves differently to e.g., `taylor_mode(..., num)`. + Since doubling is experimental, the version is not bumped to `v0.3.0`. + + +**New features:** + +**Notable bug-fixes:** + ## v0.2.0 This version overhauls large parts of the API. Consider the quickstart for an introduction about the "new" way of doing things. From now on, this change log will be used properly. -Notable bug fixes: +**Notable bug-fixes:** * The log-pdf behaviour of Gaussian random variables has been corrected (previously, the returned values were slightly incorrect). This means that the behaviour of, e.g., parameter estimation scripts will change slightly. diff --git a/makefile b/makefile index 1f289964..3b7e7e10 100644 --- a/makefile +++ b/makefile @@ -33,7 +33,7 @@ example: jupytext --quiet --sync docs/examples_parameter_estimation/* run-benchmarks: - time python docs/benchmarks/taylor_fitzhughnagumo/run_taylor_fitzhughnagumo.py --max_time 20 --repeats 15 --save + time python docs/benchmarks/taylor_fitzhughnagumo/run_taylor_fitzhughnagumo.py --max_time 15 --repeats 15 --save jupytext --quiet --sync docs/benchmarks/taylor_fitzhughnagumo/*.ipynb jupytext --quiet --execute docs/benchmarks/taylor_fitzhughnagumo/*.ipynb time python docs/benchmarks/taylor_pleiades/run_taylor_pleiades.py --max_time 15 --repeats 5 --save diff --git a/mkdocs.yml b/mkdocs.yml index 0ddd16f9..9d0bb004 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -100,6 +100,9 @@ plugins: - benchmarks/taylor_pleiades/*.md - benchmarks/taylor_pleiades/*.py - benchmarks/taylor_pleiades/.ipynb_checkpoints/* + - benchmarks/taylor_fitzhughnagumo/*.md + - benchmarks/taylor_fitzhughnagumo/*.py + - benchmarks/taylor_fitzhughnagumo/.ipynb_checkpoints/* - mkdocs-jupyter extra: social: @@ -160,3 +163,4 @@ nav: - benchmarks/pleiades/plot.ipynb - benchmarks/hires/plot.ipynb - benchmarks/taylor_pleiades/plot.ipynb + - benchmarks/taylor_fitzhughnagumo/plot.ipynb diff --git a/probdiffeq/solvers/taylor/autodiff.py b/probdiffeq/solvers/taylor/autodiff.py index 7004368c..cecf3993 100644 --- a/probdiffeq/solvers/taylor/autodiff.py +++ b/probdiffeq/solvers/taylor/autodiff.py @@ -1,6 +1,6 @@ r"""Taylor-expand the solution of an initial value problem (IVP).""" -import functools +import itertools from typing import Callable, Tuple import jax @@ -8,10 +8,7 @@ import jax.experimental.ode import jax.numpy as jnp -# TODO: split into subpackage - -@functools.partial(jax.jit, static_argnums=[0], static_argnames=["num"]) def taylor_mode(vf: Callable, initial_values: Tuple, /, num: int): """Taylor-expand the solution of an IVP with Taylor-mode differentiation.""" # Number of positional arguments in f @@ -76,7 +73,6 @@ def mask(i): return [x[mask(k) : mask(k + 1 - n)] for k in range(n)] -@functools.partial(jax.jit, static_argnums=[0], static_argnames=["num"]) def forward_mode(vf: Callable, initial_values: Tuple, /, num: int): """Taylor-expand the solution of an IVP with forward-mode differentiation. @@ -108,8 +104,7 @@ def df(*args): return jax.tree_util.Partial(df) -@functools.partial(jax.jit, static_argnums=[0], static_argnames=["num"]) -def taylor_mode_doubling(vf: Callable, initial_values: Tuple, /, num: int): +def taylor_mode_doubling(vf: Callable, initial_values: Tuple, /, num_doublings: int): """Combine Taylor-mode differentiation and Newton's doubling. !!! warning "Warning: highly EXPERIMENTAL feature!" @@ -119,7 +114,7 @@ def taylor_mode_doubling(vf: Callable, initial_values: Tuple, /, num: int): and without any deprecation policy. !!! warning "Compilation time" - JIT-compiling this function unrolls a loop of length `num`. + JIT-compiling this function unrolls a loop. """ (u0,) = initial_values @@ -142,7 +137,8 @@ def jet_embedded(*c, degree): return _normalise(p_new, *s_new) taylor_coefficients = [u0] - while (deg := len(taylor_coefficients)) < num + 1: + degrees = list(itertools.accumulate(map(lambda s: 2**s, range(num_doublings)))) + for deg in degrees: jet_embedded_deg = jax.tree_util.Partial(jet_embedded, degree=deg) fx, jvp = jax.linearize(jet_embedded_deg, *taylor_coefficients) @@ -150,7 +146,8 @@ def jet_embedded(*c, degree): # TODO: can we jax.fori_loop() this loop? # the running variable (cs_padded) should have constant size cs = [(fx[deg - 1] / deg)] - for k in range(deg, min(2 * deg, num)): + cs_padded = cs + [zeros] * (deg - 1) + for i, fx_i in enumerate(fx[deg : 2 * deg]): # The Jacobian of the embedded jet is block-banded, # i.e., of the form (for j=3) # (A0, 0, 0; A1, A0, 0; A2, A1, A0; *, *, *; *, *, *; *, *, *) @@ -161,12 +158,14 @@ def jet_embedded(*c, degree): # Bettencourt et al. (2019; # "Taylor-mode autodiff for higher-order derivatives in JAX") # explain details. - cs_padded = cs + [zeros] * (2 * deg - k - 1) - linear_combination = jvp(*cs_padded)[k - deg] - cs += [(fx[k] + linear_combination) / (k + 1)] + # i = k - deg + linear_combination = jvp(*cs_padded)[i] + cs_ = cs_padded[: (i + 1)] + cs_ += [(fx_i + linear_combination) / (i + deg + 1)] + cs_padded = cs_ + [zeros] * (deg - i - 2) # Store all new coefficients - taylor_coefficients.extend(cs) + taylor_coefficients.extend(cs_padded) return _unnormalise(*taylor_coefficients) diff --git a/tests/test_solvers/test_taylor/test_exact_first_order.py b/tests/test_solvers/test_taylor/test_exact_first_order.py index d6628ebb..145c1c88 100644 --- a/tests/test_solvers/test_taylor/test_exact_first_order.py +++ b/tests/test_solvers/test_taylor/test_exact_first_order.py @@ -17,11 +17,6 @@ def case_taylor_mode(): return autodiff.taylor_mode -@testing.case() -def case_taylor_mode_doubling(): - return autodiff.taylor_mode_doubling - - @testing.fixture(name="pb_with_solution") def fixture_pb_with_solution(): f, u0, (t0, _), f_args = diffeqzoo.ivps.three_body_restricted_first_order() @@ -36,10 +31,22 @@ def vf(u, /): @testing.parametrize_with_cases("taylor_fun", cases=".", prefix="case_") -@testing.parametrize("num", [1, 3]) +@testing.parametrize("num", [1, 6]) def test_approximation_identical_to_reference(pb_with_solution, taylor_fun, num): (f, init), solution = pb_with_solution derivatives = taylor_fun(f, init, num=num) + assert len(derivatives) == num + 1 + for dy, dy_ref in zip(derivatives, solution): + assert jnp.allclose(dy, dy_ref) + + +@testing.parametrize("num_doublings", [1, 2]) +def test_approximation_identical_to_reference_doubling(pb_with_solution, num_doublings): + """Separately test the doubling-function, because its API is different.""" + (f, init), solution = pb_with_solution + + derivatives = autodiff.taylor_mode_doubling(f, init, num_doublings=num_doublings) + assert len(derivatives) == jnp.sum(2 ** jnp.arange(num_doublings + 1)) for dy, dy_ref in zip(derivatives, solution): assert jnp.allclose(dy, dy_ref)