diff --git a/examples/jax/README.md b/examples/jax/README.md new file mode 100644 index 0000000..8da681b --- /dev/null +++ b/examples/jax/README.md @@ -0,0 +1,117 @@ +# JAX Examples + +Examples demonstrating HydroGym's JAX backend for GPU-accelerated, fully-differentiable flow control. + +## What is the JAX backend? + +HydroGym's JAX backend provides pseudo-spectral Navier-Stokes solvers written entirely in JAX. This enables: + +- **GPU acceleration** — solvers run on GPU via JAX's XLA compilation +- **Vectorized environments** — run many parallel environments inside a single JIT-compiled training loop (PureJAX-style) +- **End-to-end differentiability** — gradients can flow through the solver for gradient-based control + +The JAX environments follow the [gymnax](https://github.com/RobertTLange/gymnax) interface (`reset_env` / `step_env` with explicit `params`) and include wrappers (`VecEnv`, `LogWrapper`, `ClipAction`, `NormalizeVecObservation`, `NormalizeVecReward`) for RL training. + +## Directory Structure + +``` +jax/ +├── README.md # This file +└── getting_started/ # START HERE + ├── README.md # Detailed guide and comparison table + ├── 1_kolmogorov/ # 2D Kolmogorov flow (Re=200) + ├── 2_channel/ # 3D turbulent channel flow (Re_tau=180) + └── 3_ppo/ # Pure-JAX PPO training (both environments) +``` + +## Quick Start + +```bash +# Activate the GPU environment +source /home/easybuild/venvs/hydrogym_gpu/bin/activate + +# Test Kolmogorov flow (float64, 10 steps) +cd getting_started/1_kolmogorov +./run_kolmogorov_docker.sh + +# Test channel flow (float32, 5 steps) +cd getting_started/2_channel +./run_channel_docker.sh + +# Train PPO +cd getting_started/3_ppo +./run_ppo_docker.sh --env kolmogorov --total-timesteps 20000 +``` + +## Available Environments + +| Environment | Solver | Grid | Action | Observation | Reward | Default dtype | +|---|---|---|---|---|---|---| +| `KolmogorovFlow` | 2D pseudo-spectral | 64×64 | 4 body-force modes | 8×8 velocity probes | -(α·TKE + action penalty) | float64 | +| `ChannelFlowSpectralEnv` | 3D pseudo-spectral | 72×72×72 | 24 wall jets | 8×8×2 near-wall velocities | -WSS (drag) | float32 | + +## JIT Compilation + +Both environments are JIT-compiled via `jax.jit` in the runner scripts, which compiles the full DNS rollout into a single GPU kernel: + +```python +jit_reset = jax.jit(env.reset_env) +jit_step = jax.jit(env.step_env) + +obs, state = jit_reset(key, params) # triggers compilation +obs, state, reward, done, info = jit_step(key, state, action, params) # full GPU speed +``` + +The first call compiles (takes ~1–2 minutes); all subsequent calls run at full GPU speed. + +## Floating-Point Precision + +| Environment | Recommended | Notes | +|---|---|---| +| `KolmogorovFlow` | `float64` | Pseudo-spectral 2D NS requires fp64 for JIT stability; fp32 may produce NaNs under XLA reordering | +| `ChannelFlowSpectralEnv` | `float32` | Stable at fp32 with JIT; fp64 available but ~2x slower on A100 | + +Override via `env_config`: +```python +# Kolmogorov: float64 is the default and required for JIT stability +env = KolmogorovFlow(env_config={"dt": 5e-4}) # smaller dt for fp32 experiments + +# Channel: toggle precision +env = ChannelFlowSpectralEnv(env_config={"dtype": "float64"}) +``` + +Or via the bash scripts: +```bash +./run_kolmogorov_docker.sh minimize_tke 100 float32 # float32 (may diverge) +./run_channel_docker.sh drag_reduction 10 float64 # float64 +``` + +## Typical Usage + +```python +import jax +import jax.numpy as jnp +from hydrogym.jax.envs.kolmogorov import KolmogorovFlow + +jax.config.update("jax_enable_x64", True) # required for Kolmogorov + JIT + +env = KolmogorovFlow(env_config={}, flow_config={}) +params = env.default_params + +jit_reset = jax.jit(env.reset_env) +jit_step = jax.jit(env.step_env) + +key = jax.random.PRNGKey(0) +obs, state = jit_reset(key, params) + +action = jnp.zeros((params.action_dim,)) +obs, state, reward, done, info = jit_step(key, state, action, params) +``` + +**Note:** The channel flow environment downloads a fully turbulent initial field from Hugging Face Hub (`dynamicslab/HydroGym-environments`) on the first run and caches it at `~/.cache/hydrogym/`. + +## Requirements + +- JAX with GPU support (`jax[cuda12]` or equivalent) +- `flax`, `optax`, `distrax` for PPO training +- Internet access on first run (channel flow initial field download) diff --git a/examples/jax/getting_started/1_kolmogorov/kolmogorov.ipynb b/examples/jax/getting_started/1_kolmogorov/kolmogorov.ipynb new file mode 100644 index 0000000..72c032c --- /dev/null +++ b/examples/jax/getting_started/1_kolmogorov/kolmogorov.ipynb @@ -0,0 +1,338 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Kolmogorov flow with JAX in Hydrogym" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A recent development of Hydrogym is the inclusion of differentiable solvers like ``JAX``. The idea is to leverage the differentiable environment to compute sensitivity studies that can lead to a better controller with less compute time. This tutorial covers how to set up the Kolmogorov JAX environment, how to run basic control, and how to run reinforment learning on the environment (to be added shortly). Currently, the Kolmogorov flow is the main differentiable flow environment implemented in Hydrogym. For more details on the mathematical background of the Kolmogorov flow, please refer to the L4DC paper [1]. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Running the environment " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import time\n", + "import jax.numpy as jnp\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from hydrogym.jax.solvers.base import RungeKuttaCrankNicolson\n", + "from hydrogym.jax.utils import io as io\n", + "from hydrogym.jax.envs.kolmogorov import FlowConfig, PseudoSpectralNavierStokes2D" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Include postprocessing to monitor results " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "print_fmt = \"vel1: {0:0.3f}\\t\\t vel2: {1:0.3f}\\t\\t vel3: {2:0.3e}\\t\\t vel4: {3:0.3e}\"\n", + "\n", + "\n", + "def log_postprocess(flow):\n", + " \"\"\"\n", + " The default observation is the velocity at 64 equally spaced points along the domain.\n", + " This postprocess function is computing the mean of the observations.\n", + " \"\"\"\n", + " obs = flow.get_observations()\n", + " mean_obs_time = jnp.mean(obs, axis=1)\n", + " return mean_obs_time\n", + "\n", + "\n", + "output_dir = \"kolmogorov_data\"\n", + "np_file_name = \"kolmogorov_trajectory\"\n", + "gif_file_name = \"kolmogorov\"\n", + "os.makedirs(output_dir, exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set up solver parameters and run " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Some notes: \n", + "- If you would like to change the grid resolution, define it as an argument of FlowConfig, like ``FlowConfig(domain_x = 256, domain_y = 256)... `` default is 64x64 \n", + "- If you would like to change Reynolds number, specifically to view extreme events, set ``flow.Re``to be between 40 - 80. The default Reynolds number is 200, a fully turbulent state." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_95634/2176996286.py:22: DeprecationWarning: jax.lib.xla_bridge.get_backend is deprecated; use jax.extend.backend.get_backend.\n", + " device = xla_bridge.get_backend().platform\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX is using: cpu\n", + "Total time: 81.3811686038971\n" + ] + } + ], + "source": [ + "flow = FlowConfig()\n", + "flow.Re = 100\n", + "dt = 0.001\n", + "equation = PseudoSpectralNavierStokes2D(flow)\n", + "solver = RungeKuttaCrankNicolson(flow, dt, 1, equation)\n", + "end_time = 50 # This is in seconds!\n", + "\n", + "callbacks = [\n", + " io.LogCallback(\n", + " postprocess=log_postprocess,\n", + " interval=1,\n", + " filename=f\"{output_dir}/kolmogorov.dat\",\n", + " print_fmt=print_fmt,\n", + " ),\n", + "]\n", + "\n", + "######## Check what device JAX is using! #######\n", + "# If you have access to a GPU, this should run much faster and you can improve grid resolution, default is 64x64\n", + "# Otherwise, this still runs pretty fast.\n", + "\n", + "\n", + "def check_jax_device():\n", + " from jax.lib import xla_bridge\n", + "\n", + " device = xla_bridge.get_backend().platform\n", + " print(f\"JAX is using: {device}\")\n", + "\n", + "\n", + "check_jax_device()\n", + "start = time.time()\n", + "final, trajectory = solver.solve(dt, flow, (0, end_time), callbacks, None, save_n=1)\n", + "end = time.time()\n", + "jnp.save(output_dir + \"/\" + np_file_name, trajectory)\n", + "print(\"Total time:\", end - start)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualize results " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cols = 5\n", + "fig, axs = plt.subplots(1, cols, figsize=(15, 5))\n", + "\n", + "simulation = jnp.load(output_dir + \"/\" + np_file_name + \".npy\")\n", + "\n", + "data = jnp.fft.irfftn(simulation, axes=(1, 2))\n", + "\n", + "for i in range(cols):\n", + " time = int(len(data) * (i / cols))\n", + " axs[i].imshow(data[time], cmap=\"icefire\", vmin=-8, vmax=8)\n", + " axs[i].set_title(\"time {}\".format(time))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Optional: Generate a gif " + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_42977/684810181.py:10: MatplotlibDeprecationWarning: The tostring_rgb function was deprecated in Matplotlib 3.8 and will be removed two minor releases later. Use buffer_rgba instead.\n", + " image = np.frombuffer(fig.canvas.tostring_rgb(), dtype='uint8')\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "import imageio.v2 as imageio\n", + "\n", + "frames = []\n", + "for i in range(data.shape[0]):\n", + " fig, ax = plt.subplots(figsize=(4, 4))\n", + " ax.imshow(data[i], cmap=\"icefire\")\n", + " ax.axis(\"off\")\n", + " fig.canvas.draw()\n", + " image = np.frombuffer(fig.canvas.tostring_rgb(), dtype=\"uint8\")\n", + " image = image.reshape(fig.canvas.get_width_height()[::-1] + (3,))\n", + " frames.append(image)\n", + "\n", + " plt.close(fig)\n", + "\n", + "imageio.mimsave(output_dir + \"/\" + gif_file_name + \".gif\", frames, fps=10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Adding simple control" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To add a controller to the system, simply specify the desired controller under `flow.control_function`. For instance, if I would like a control of sinusoidal forcing of wavenumber 4 and amplitude of -0.5, I would execute the following:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "x, y = flow.load_mesh(name=\"\")\n", + "\n", + "\n", + "def control_func(a, k, y):\n", + " return (a * jnp.sin(k * y), jnp.zeros_like(y))\n", + "\n", + "\n", + "flow.control_function = control_func(-0.6, 4, y)\n", + "final, trajectory = solver.solve(dt, flow, (0, end_time), callbacks, None, save_n=1)\n", + "jnp.save(output_dir + \"/\" + \"kolmogorov_controlled\", trajectory)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualize controlled results" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cols = 5\n", + "fig, axs = plt.subplots(1, cols, figsize=(15, 5))\n", + "\n", + "simulation = jnp.load(output_dir + \"/\" + \"kolmogorov_controlled\" + \".npy\")\n", + "\n", + "data = jnp.fft.irfftn(simulation, axes=(1, 2))\n", + "\n", + "for i in range(cols):\n", + " time = int(len(data) * (i / cols))\n", + " axs[i].imshow(data[time], cmap=\"icefire\", vmin=-8, vmax=8)\n", + " axs[i].set_title(\"time {}\".format(time))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# References" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[1] Jared Callaham, Sajeda Mokbel, Samuel Ahnert, Kai Lagemann, Esther Lagemann,\n", + "Nikolaus Adams, Christian Lagemann, Ludger Paehler, and Steven Brunton. 2025.\n", + "HydroGym: A Reinforcement Learning Platform for Fluid Dynamics. Accepted\n", + "to the Conference on Learning for Dynamics and Control (L4DC).\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "firedrake", + "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": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/jax/getting_started/1_kolmogorov/run_kolmogorov_docker.sh b/examples/jax/getting_started/1_kolmogorov/run_kolmogorov_docker.sh new file mode 100644 index 0000000..130191a --- /dev/null +++ b/examples/jax/getting_started/1_kolmogorov/run_kolmogorov_docker.sh @@ -0,0 +1,54 @@ +#!/usr/bin/env bash +# +# Run Kolmogorov flow JAX environment for two control objectives: +# +# Objective 1 -- Minimize TKE (suppress energy bursts) +# reward = -(reward_alpha * TKE + action_penalty), reward_alpha > 0 +# The agent is penalized for high turbulent kinetic energy and large +# actions. Setting reward_alpha > 0 drives the flow toward a laminar, +# low-energy state. +# +# Objective 2 -- Maximize TKE (enhance turbulent mixing) +# reward = -(reward_alpha * TKE + action_penalty), reward_alpha < 0 +# A negative reward_alpha flips the sign of the TKE term, making the +# reward proportional to TKE. The agent is rewarded for driving the +# flow into a more turbulent regime while being penalized for large +# actions. +# +# In both cases the action penalty term (-sum(|a_i|)) discourages +# unnecessarily large actuations and promotes efficient controllers. +# +# Usage: +# ./run_kolmogorov_docker.sh [mode] [num_steps] [dtype] +# +# ./run_kolmogorov_docker.sh # minimize TKE, 10 steps, float64 +# ./run_kolmogorov_docker.sh maximize_tke # maximize TKE +# ./run_kolmogorov_docker.sh no_actuation 500 # baseline, 500 steps +# ./run_kolmogorov_docker.sh minimize_tke 1000 float32 # float32 (fast, may diverge) +# +# Actuation: +# The control input is the amplitude of four sinusoidal body-force modes +# added to the x-momentum equation: +# c(y) = a1*sin(k1*y) + a2*sin(k2*y) + a3*sin(k3*y) + a4*sin(k4*y) +# with wavenumbers k1,k2,k3,k4 = 4,5,6,7 (above the base forcing wavenumber). +# Actions are clipped to [-0.5, 0.5]. +# +# Precision: +# float64 (default) -- required for JIT stability; matches non-JIT behavior +# float32 -- faster but may produce NaNs due to solver instability under XLA +# + +set -e + +module purge +module load Python/3.12.3-GCCcore-13.3.0 + +# Activate Python environment +source /home/easybuild/venvs/hydrogym_gpu/bin/activate + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +MODE="${1:-minimize_tke}" +NUM_STEPS="${2:-10}" +DTYPE="${3:-float64}" + +python "$SCRIPT_DIR/test_kolmogorov_env.py" "$MODE" --num-steps "$NUM_STEPS" --dtype "$DTYPE" diff --git a/examples/jax/getting_started/1_kolmogorov/test_kolmogorov_env.py b/examples/jax/getting_started/1_kolmogorov/test_kolmogorov_env.py new file mode 100644 index 0000000..3724017 --- /dev/null +++ b/examples/jax/getting_started/1_kolmogorov/test_kolmogorov_env.py @@ -0,0 +1,198 @@ +""" +Kolmogorov Flow JAX Environment + +Usage: + python test_kolmogorov_env.py [mode] [--num-steps N] [--plot] + +Modes: + minimize_tke Suppress energy bursts: reward_alpha=1.0 (default) + maximize_tke Enhance turbulent mixing: reward_alpha=-1.0 + no_actuation Baseline: zero action, free turbulence evolution + +Options: + --plot Save a vorticity comparison PNG (baseline vs selected mode) +""" + +import argparse +import sys + +# Must be set before JAX initializes — check sys.argv directly +import jax +import jax.numpy as jnp +import numpy as np + +from hydrogym.jax.envs.kolmogorov import KolmogorovFlow + +jax.config.update("jax_enable_x64", "float32" not in sys.argv) + +# ── Mode definitions ──────────────────────────────────────────────────────── + +MODE_CONFIGS = { + "minimize_tke": dict( + reward_alpha=1.0, + action=jnp.array([-0.25, -0.03, 0.02, 0.01]), + description=( + "Objective: Minimize TKE (suppress energy bursts)\n" + " reward_alpha = 1.0 -> reward = -(TKE + action_penalty)\n" + " Action: small forcing to damp energy transfer" + ), + ), + "maximize_tke": dict( + reward_alpha=-1.0, + action=jnp.array([0.25, 0.03, -0.02, -0.01]), + description=( + "Objective: Maximize TKE (enhance turbulent mixing)\n" + " reward_alpha = -1.0 -> reward = TKE - action_penalty\n" + " Action: forcing to drive the flow into a more turbulent regime" + ), + ), + "no_actuation": dict( + reward_alpha=1.0, + action=None, # filled in after env init (needs action_dim) + description=( + "Baseline: zero actuation (free turbulence evolution)\n" + " reward_alpha = 1.0, action = [0, 0, 0, 0]\n" + " Shows natural energy bursts without control" + ), + ), +} + + +# ── Helpers ───────────────────────────────────────────────────────────────── + + +def to_real(omega_hat): + return np.asarray(jnp.fft.irfftn(omega_hat)) + + +def run_steps(env, params, action, num_steps): + jit_reset = jax.jit(env.reset_env) + jit_step = jax.jit(env.step_env) + + key = jax.random.PRNGKey(0) + + print("Compiling the environment (this may take a moment)...") + obs, state = jit_reset(key, params) + obs, state, reward, done, info = jit_step(key, state, action, params) + obs.block_until_ready() + print("Compilation finished! Now running at full speed.\n") + + key = jax.random.PRNGKey(1) + obs, state = jit_reset(key, params) + + rows = [] + for i in range(num_steps): + key, subkey = jax.random.split(key) + obs, state, reward, done, info = jit_step(subkey, state, action, params) + rows.append((i, float(info["mean_tke"]), float(reward))) + if done: + break + obs.block_until_ready() + return state, rows + + +def save_plot(env, params, action_actuated, outfile="kolmogorov_comparison.png"): + import matplotlib.pyplot as plt + + zero_action = jnp.zeros((params.action_dim,)) + + print(" Running baseline (zero action)...") + state_zero, _ = run_steps(env, params, zero_action, num_steps=1) + + print(" Running actuated case...") + state_act, _ = run_steps(env, params, action_actuated, num_steps=1) + + traj_zero = state_zero.trajectory + traj_act = state_act.trajectory + + n_snap = min(4, len(traj_zero)) + idxs = np.linspace(0, len(traj_zero) - 1, n_snap, dtype=int) + + fig, axes = plt.subplots(n_snap, 2, figsize=(10, 3 * n_snap)) + if n_snap == 1: + axes = np.array([axes]) + + for i, idx in enumerate(idxs): + z = to_real(traj_zero[idx]) + a = to_real(traj_act[idx]) + + im0 = axes[i, 0].imshow(z.T, origin="lower") + axes[i, 0].set_title(f"Zero action (t={idx})") + plt.colorbar(im0, ax=axes[i, 0]) + + im1 = axes[i, 1].imshow(a.T, origin="lower") + axes[i, 1].set_title(f"Controlled case (t={idx})") + plt.colorbar(im1, ax=axes[i, 1]) + + plt.tight_layout() + plt.savefig(outfile, dpi=150, bbox_inches="tight") + print(f" Saved: {outfile}") + + +# ── Main ──────────────────────────────────────────────────────────────────── + + +def main(): + parser = argparse.ArgumentParser(description="Kolmogorov flow JAX environment runner") + parser.add_argument( + "mode", + nargs="?", + default="minimize_tke", + choices=list(MODE_CONFIGS), + ) + parser.add_argument("--num-steps", type=int, default=10) + parser.add_argument( + "--dt", + type=float, + default=None, + help="DNS timestep (default: 1e-3). Halve to improve fp32 stability.", + ) + parser.add_argument( + "--dtype", + default="float64", + choices=["float32", "float64"], + help="Floating-point precision (default: float64 — required for JIT stability)", + ) + parser.add_argument( + "--plot", + action="store_true", + help="Save a vorticity comparison PNG (baseline vs selected mode)", + ) + args = parser.parse_args() + + cfg = MODE_CONFIGS[args.mode] + + print("=== Kolmogorov Flow JAX Environment ===") + print(f"Mode: {args.mode}") + print(f"Dtype: {args.dtype}") + print(f"dt: {args.dt if args.dt is not None else '1e-3 (default)'}") + print(f"Steps: {args.num_steps}") + print() + print(cfg["description"]) + print() + + env_config = {} + if args.dt is not None: + env_config["dt"] = args.dt + env = KolmogorovFlow(env_config=env_config, flow_config={}) + params = env.default_params.replace(reward_alpha=cfg["reward_alpha"]) + + action = cfg["action"] + if action is None: + action = jnp.zeros((params.action_dim,)) + + if args.plot: + print("Generating vorticity comparison plot...") + outfile = f"kolmogorov_{args.mode}.png" + save_plot(env, params, action, outfile=outfile) + print() + + print(f"{'Step':>5} {'mean_TKE':>12} {'reward':>12}") + print("-" * 35) + _, rows = run_steps(env, params, action, args.num_steps) + for step, tke, reward in rows: + print(f"{step:>5} {tke:>12.4f} {reward:>12.4f}") + + +if __name__ == "__main__": + main() diff --git a/examples/jax/getting_started/2_channel/channel.ipynb b/examples/jax/getting_started/2_channel/channel.ipynb new file mode 100644 index 0000000..9c9788a --- /dev/null +++ b/examples/jax/getting_started/2_channel/channel.ipynb @@ -0,0 +1,291 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3D Channel flow with JAX" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "HydroGym contains a 3D channel flow written in differentiable language JAX. The channel flow is of size [$2 \\pi, \\pi, 2$], where $z$ is the wall-normal direction. The channel flow is run at $Re_{\\tau}$ = 180, and is pre-configured to be controlled with 24 wall-normal jets evenly spaced throughout the wall. The observation value consists of evenly spaced x-velocity values sampled from $y^+ \\approx 9$. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Initialize and test gymnax environment " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ERROR:2026-03-30 08:04:39,160:jax._src.xla_bridge:444: Jax plugin configuration error: Exception when calling jax_plugins.xla_cuda12.initialize()\n", + "Traceback (most recent call last):\n", + " File \"/home/firedrake/firedrake/lib/python3.10/site-packages/jax/_src/xla_bridge.py\", line 442, in discover_pjrt_plugins\n", + " plugin_module.initialize()\n", + " File \"/home/firedrake/firedrake/lib/python3.10/site-packages/jax_plugins/xla_cuda12/__init__.py\", line 324, in initialize\n", + " _check_cuda_versions(raise_on_first_error=True)\n", + " File \"/home/firedrake/firedrake/lib/python3.10/site-packages/jax_plugins/xla_cuda12/__init__.py\", line 281, in _check_cuda_versions\n", + " local_device_count = cuda_versions.cuda_device_count()\n", + "RuntimeError: jaxlib/cuda/versions_helpers.cc:113: operation cuInit(0) failed: Unknown CUDA error 303; cuGetErrorName failed. This probably means that JAX was unable to load the CUDA libraries.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Initial state shape U: (72, 72, 72)\n", + "Initial state shape V: (72, 72, 72)\n", + "Initial state shape W: (72, 72, 72)\n", + "Initial mean observation value: 3.3731854661332368\n" + ] + } + ], + "source": [ + "import jax\n", + "import jax.numpy as jnp\n", + "import matplotlib.pyplot as plt\n", + "\n", + "#####################################################\n", + "# Import channel flow and environment configuration #\n", + "#####################################################\n", + "from hydrogym.jax.envs.channel import ChannelFlowSpectralEnv\n", + "\n", + "env_config = {}\n", + "env = ChannelFlowSpectralEnv(env_config)\n", + "params = env.default_params\n", + "\n", + "#####################################################\n", + "# Reset environment to initial conditions #\n", + "# provided in the HuggingFace initial fields folder #\n", + "#####################################################\n", + "key = jax.random.PRNGKey(0)\n", + "obs, state = env.reset_env(key, params)\n", + "print(\"Initial state shape U:\", state.U.shape)\n", + "print(\"Initial state shape V:\", state.U.shape)\n", + "print(\"Initial state shape W:\", state.U.shape)\n", + "print(\"Initial mean observation value: \", jnp.mean(obs))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Test one environment step (params.nsteps internal RK steps) without control " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean observation value: 3.3810941472675573\n", + "Reward: -0.3378005217734956\n" + ] + } + ], + "source": [ + "action = jnp.zeros((params.action_dim,))\n", + "\n", + "obs, state, reward, done, info = env.step_env(key, state, action, params)\n", + "\n", + "print(\"Mean observation value: \", jnp.mean(obs))\n", + "print(\"Reward:\", reward)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualize U without control" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After running the environment step, the state class contains (U,V,W) fields which can be accessed and visualized:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "U = state.U\n", + "y_idx = 36\n", + "z_idx = 8\n", + "x_idx = 36\n", + "U_slice_xz = U[:, y_idx, :]\n", + "U_slice_xy = U[:, :, z_idx]\n", + "U_slice_yz = U[x_idx, :, :]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(10, 2))\n", + "slices = [U_slice_xz, U_slice_xy, U_slice_yz]\n", + "\n", + "vmin = min(s.min() for s in slices)\n", + "vmax = max(s.max() for s in slices)\n", + "\n", + "for (\n", + " ax,\n", + " slice_,\n", + ") in zip(axes, slices):\n", + " im = ax.imshow(\n", + " slice_.T,\n", + " origin=\"lower\",\n", + " aspect=\"auto\",\n", + " vmin=vmin,\n", + " vmax=vmax,\n", + " )\n", + "fig.subplots_adjust(right=0.9)\n", + "\n", + "plt.tight_layout(rect=[0, 0, 1.25, 1])\n", + "fig.colorbar(im, ax=axes, label=\"velocity\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean observation value after environment step: 3.3811771453005943\n", + "Reward: -0.3379856556277938\n", + "Mean observation value after environment step: 3.374816954342459\n", + "Reward: -0.3296336066794982\n", + "Mean observation value after environment step: 3.3952557633014124\n", + "Reward: -0.32246759246707535\n", + "Mean observation value after environment step: 3.4049538883848918\n", + "Reward: -0.317317974468479\n", + "Mean observation value after environment step: 3.369506324681792\n", + "Reward: -0.31543620069660644\n", + "Mean observation value after environment step: 3.3887298110075403\n", + "Reward: -0.31826735862330213\n" + ] + } + ], + "source": [ + "# Testing full suction jets #\n", + "key = jax.random.PRNGKey(0)\n", + "obs, state = env.reset_env(key, params)\n", + "\n", + "# action = jax.random.normal(key, (params.action_dim,))\n", + "action = 0.01 * jnp.ones((params.action_dim,))\n", + "num_steps = 6\n", + "\n", + "for i in range(num_steps):\n", + " obs, state, reward, done, info = env.step_env(key, state, action, params)\n", + " print(\"Mean observation value after environment step: \", jnp.mean(obs))\n", + " print(\"Reward:\", reward)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualize U after a few environment steps with control" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "U = state.U\n", + "y_idx = 36\n", + "z_idx = 9\n", + "x_idx = 36\n", + "U_slice_xz = U[:, y_idx, :]\n", + "U_slice_xy = U[:, :, z_idx]\n", + "U_slice_yz = U[x_idx, :, :]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(10, 2))\n", + "slices = [U_slice_xz, U_slice_xy, U_slice_yz]\n", + "\n", + "vmin = min(s.min() for s in slices)\n", + "vmax = max(s.max() for s in slices)\n", + "\n", + "for (\n", + " ax,\n", + " slice_,\n", + ") in zip(axes, slices):\n", + " im = ax.imshow(\n", + " slice_.T,\n", + " origin=\"lower\",\n", + " aspect=\"auto\",\n", + " vmin=vmin,\n", + " vmax=vmax,\n", + " )\n", + "fig.subplots_adjust(right=0.9)\n", + "\n", + "plt.tight_layout(rect=[0, 0, 1.25, 1])\n", + "fig.colorbar(im, ax=axes, label=\"velocity\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "firedrake", + "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": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/jax/getting_started/2_channel/run_channel_docker.sh b/examples/jax/getting_started/2_channel/run_channel_docker.sh new file mode 100644 index 0000000..2c32218 --- /dev/null +++ b/examples/jax/getting_started/2_channel/run_channel_docker.sh @@ -0,0 +1,96 @@ +#!/usr/bin/env bash +# +# Run 3D turbulent channel flow JAX environment (Re_tau = 180). +# +# ── Flow physics ──────────────────────────────────────────────────────────── +# +# This environment simulates incompressible turbulent channel flow between +# two parallel walls separated by a distance Lz = 2 (wall-units: z ∈ [-1,1]). +# The friction Reynolds number Re_tau = u_tau * delta / nu = 180, where: +# u_tau = friction velocity (set by the mean pressure gradient) +# delta = channel half-height = 1 +# nu = kinematic viscosity = 1.9e-3 +# +# A constant streamwise body force (fx = 2.0) drives the flow against +# viscous drag, maintaining the target bulk velocity u_bulk ≈ 8. +# +# ── DNS solver ────────────────────────────────────────────────────────────── +# +# The flow is resolved with a pseudo-spectral Navier-Stokes solver: +# x, y (streamwise, spanwise): Fourier basis (Nx=72, Ny=72 modes) +# z (wall-normal): Chebyshev basis (Nz=72 points) +# +# Each environment step advances the flow by nsteps=50 RK4 sub-steps at +# dt=2e-4, i.e. Δt_RL = 0.01 convective time units per RL step. +# +# Incompressibility is enforced after each RK4 step via a pressure-Poisson +# projection on the divergence field. +# +# ── Actuation ─────────────────────────────────────────────────────────────── +# +# Wall-normal blowing/suction jets are applied at both walls through a +# 6 × 4 grid of Gaussian patches (nx_jets=6, ny_jets=4 → action_dim=24). +# Each jet applies a smooth wall-normal velocity profile (w) to a thin +# layer near the wall (z0=1, thickness=5 grid points). +# Actions are clipped to [-1, 1]. +# +# The jets are mass-flux neutral: the mean is subtracted before application +# (jnp.mean(mask) is removed), so no net mass is added to the domain. +# +# A gain ramp (gain ≈ 0.3) smoothly switches actuation on/off at the start +# and end of each episode to avoid impulsive forcing. +# +# ── Observation ───────────────────────────────────────────────────────────── +# +# The agent observes a subsampled (8×8) grid of streamwise (U) and wall- +# normal (W) velocity at a fixed wall-normal plane z = z[k_det=9], i.e. +# near-wall but not at the wall itself. +# Observation dimension: 8 × 8 × 2 = 128. +# +# ── Reward ────────────────────────────────────────────────────────────────── +# +# reward = -WSS +# +# where WSS (wall shear stress) is the viscous stress at the lower wall: +# WSS = nu * (∂U/∂z)|_{z=wall} averaged over x-y +# +# Minimizing WSS ↔ reducing skin-friction drag. This is the primary +# control objective for turbulent drag reduction. +# +# ── Initial condition ─────────────────────────────────────────────────────── +# +# The environment downloads a fully turbulent initial field (U.npy, V.npy, +# W.npy) from HuggingFace (dynamicslab/HydroGym-environments, +# Channel_3D_Retau180/initial_field/) on the first run. Subsequent runs +# use the local cache at ~/.cache/hydrogym/. +# +# ── Usage ─────────────────────────────────────────────────────────────────── +# +# ./run_channel_docker.sh [mode] [num_steps] [dtype] +# +# ./run_channel_docker.sh # no actuation, 5 steps, float32 +# ./run_channel_docker.sh drag_reduction # small uniform suction +# ./run_channel_docker.sh strong_actuation 20 # near-max jets, 20 steps +# ./run_channel_docker.sh no_actuation 10 float64 # float64 precision +# +# ── Output ────────────────────────────────────────────────────────────────── +# +# Per-step table: step | WSS | reward +# WSS ≈ 0.0019 at Re_tau=180 in the uncontrolled case. +# Drag reduction is achieved when WSS (and reward magnitude) decreases. +# + +set -e + +module purge +module load Python/3.12.3-GCCcore-13.3.0 + +# Activate Python environment +source /home/easybuild/venvs/hydrogym_gpu/bin/activate + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +MODE="${1:-no_actuation}" +NUM_STEPS="${2:-5}" +DTYPE="${3:-float32}" + +python "$SCRIPT_DIR/test_channel_env.py" "$MODE" --num-steps "$NUM_STEPS" --dtype "$DTYPE" diff --git a/examples/jax/getting_started/2_channel/test_channel_env.py b/examples/jax/getting_started/2_channel/test_channel_env.py new file mode 100644 index 0000000..a1fe676 --- /dev/null +++ b/examples/jax/getting_started/2_channel/test_channel_env.py @@ -0,0 +1,126 @@ +""" +3D Turbulent Channel Flow JAX Environment (Re_tau = 180) + +Usage: + python test_channel_env.py [mode] [--num-steps N] + +Modes: + no_actuation Baseline: zero actuation, free turbulent evolution (default) + drag_reduction Small uniform suction across all 24 jets + strong_actuation Alternating ±0.5 checkerboard jet pattern +""" + +import argparse +import time + +import jax +import jax.numpy as jnp + +from hydrogym.jax.envs.channel import ChannelFlowSpectralEnv + + +def make_action(mode: str, action_dim: int) -> jnp.ndarray: + if mode == "no_actuation": + return jnp.zeros((action_dim,)) + elif mode == "drag_reduction": + return 0.01 * jnp.ones((action_dim,)) + elif mode == "strong_actuation": + nx_jets, ny_jets = 6, 4 + i_idx = jnp.arange(nx_jets)[:, None] + j_idx = jnp.arange(ny_jets)[None, :] + pattern = jnp.where((i_idx + j_idx) % 2 == 0, 0.5, -0.5) + return pattern.reshape(-1) + else: + raise ValueError(f"Unknown mode: {mode}") + + +def main(): + parser = argparse.ArgumentParser(description="Channel flow JAX environment runner") + parser.add_argument( + "mode", + nargs="?", + default="no_actuation", + choices=["no_actuation", "drag_reduction", "strong_actuation"], + ) + parser.add_argument("--num-steps", type=int, default=5) + parser.add_argument( + "--dtype", + default="float32", + choices=["float32", "float64"], + help="Floating-point precision for the solver (default: float32)", + ) + args = parser.parse_args() + + mode_descriptions = { + "no_actuation": ( + "Baseline: zero actuation — free turbulent evolution\n" + " action = 0 (all 24 jet amplitudes set to zero)\n" + " Shows natural WSS fluctuations without control." + ), + "drag_reduction": ( + "Drag reduction: small uniform suction at the walls\n" + " action = 0.01 (uniform positive amplitude across all 24 jets)\n" + " Gentle blowing/suction perturbs near-wall streaks to reduce drag.\n" + " Expected: WSS decreases relative to the no-actuation baseline." + ), + "strong_actuation": ( + "Strong actuation: alternating high-amplitude jets\n" + " action alternates ±0.5 across the 6×4 jet grid\n" + " Stress-tests the actuator: large perturbations to near-wall flow.\n" + " NOTE: very large actions may destabilize the simulation." + ), + } + + print("=== 3D Turbulent Channel Flow JAX Environment (Re_tau=180) ===") + print(f"Mode: {args.mode}") + print(f"Dtype: {args.dtype}") + print(f"RL steps: {args.num_steps} (= {args.num_steps * 50} DNS sub-steps, Δt_DNS=2e-4)") + print() + print(mode_descriptions[args.mode]) + print() + + # HuggingFace download happens here on first run (cached afterwards at ~/.cache/hydrogym/) + env = ChannelFlowSpectralEnv(env_config={"dtype": args.dtype}) + params = env.default_params + + @jax.jit + def jit_reset(key, params): + return env.reset_env(key, params) + + @jax.jit + def jit_step(key, state, action, params): + return env.step_env(key, state, action, params) + + print("Compiling the environment (this will take a minute or two)...") + key = jax.random.PRNGKey(0) + action = make_action(args.mode, params.action_dim) + + # Warmup: triggers XLA compilation + obs, state = jit_reset(key, params) + obs, state, reward, done, info = jit_step(key, state, action, params) + obs.block_until_ready() + print("Compilation finished! Now running at full speed.\n") + + # Reset with a fresh key for the actual run + key = jax.random.PRNGKey(1) + obs, state = jit_reset(key, params) + + print(f"{'Step':>5} {'WSS':>12} {'reward':>12}") + print("-" * 35) + + start_time = time.time() + for i in range(args.num_steps): + key, subkey = jax.random.split(key) + obs, state, reward, done, info = jit_step(subkey, state, action, params) + # reward = -WSS, so WSS = -reward + print(f"{i:>5} {float(-reward):>12.6f} {float(reward):>12.6f}") + + obs.block_until_ready() + elapsed = time.time() - start_time + print() + print(f"Total time for {args.num_steps} steps: {elapsed:.4f} s") + print(f"Time per step: {elapsed / args.num_steps:.4f} s") + + +if __name__ == "__main__": + main() diff --git a/examples/jax/getting_started/3_ppo/run_ppo.py b/examples/jax/getting_started/3_ppo/run_ppo.py new file mode 100644 index 0000000..67ab915 --- /dev/null +++ b/examples/jax/getting_started/3_ppo/run_ppo.py @@ -0,0 +1,417 @@ +############################################################### + +# BELOW CODE FROM PUREJAXRL REPO [1] WITH ADDITIONS +# [1] https://github.com/luchris429/purejaxrl/ + +############################################################### + +import argparse +import os +import pickle +import sys +from functools import partial +from typing import Any, NamedTuple, Sequence + +import distrax +import flax.linen as nn +import flax.serialization +import jax +import jax.numpy as jnp +import matplotlib.pyplot as plt +import numpy as np +import optax +from flax.linen.initializers import constant, orthogonal +from flax.training.train_state import TrainState + +from hydrogym.jax.env_core import ClipAction, LogWrapper, NormalizeVecObservation, NormalizeVecReward, VecEnv + + +def make_env(config): + """Instantiate the environment selected by config["ENV_NAME"].""" + env_name = config.get("ENV_NAME", "kolmogorov").lower() + if env_name == "kolmogorov": + from hydrogym.jax.envs.kolmogorov import KolmogorovFlow + + env = KolmogorovFlow(env_config={}, flow_config={}) + elif env_name == "channel": + from hydrogym.jax.envs.channel import ChannelFlowSpectralEnv + + env = ChannelFlowSpectralEnv(env_config={}) + else: + raise ValueError(f"Unknown ENV_NAME: {env_name!r}. Choose 'kolmogorov' or 'channel'.") + return env, env.default_params + + +config = { + "LR": 1e-4, # try 3e-4 - 1e-5 (play around with it) 1e-4 + "NUM_ENVS": 4, + "NUM_STEPS": 40, # 40 + "TOTAL_TIMESTEPS": 100, # 4000 + "UPDATE_EPOCHS": 10, + "NUM_MINIBATCHES": 8, + "GAMMA": 0.99, + "GAE_LAMBDA": 0.985, # can tune to go up to 0.995. 0.98 + "CLIP_EPS": 0.2, + "ENT_COEF": 0.0, # can be increased to approx 0.1 or 0.2 or stay the same + "VF_COEF": 0.5, + "MAX_GRAD_NORM": 0.5, + "ACTIVATION": "tanh", # mish activation function is good to try + # "ENV_NAME": "hopper", + "ANNEAL_LR": False, # can try + "NORMALIZE_ENV": False, + "DEBUG": True, +} + + +def save_model(params, filepath): + with open(filepath, "wb") as f: + # Using pickle to serialize params + pickle.dump(flax.serialization.to_bytes(params), f) + + +def load_model(filepath): + with open(filepath, "rb") as f: + # Deserialize params using pickle + params_bytes = pickle.load(f) + params = flax.serialization.from_bytes(None, params_bytes) + return params + + +class ActorCritic(nn.Module): + action_dim: Sequence[int] + activation: str = "tanh" + + @nn.compact + def __call__(self, x): + if self.activation == "relu": + activation = nn.relu + else: + activation = nn.tanh + actor_mean = nn.Dense(256, kernel_init=orthogonal(np.sqrt(2)), bias_init=constant(0.0))(x) + actor_mean = activation(actor_mean) + actor_mean = nn.Dense(256, kernel_init=orthogonal(np.sqrt(2)), bias_init=constant(0.0))(actor_mean) + actor_mean = activation(actor_mean) + actor_mean = nn.Dense(self.action_dim, kernel_init=orthogonal(0.01), bias_init=constant(0.0))(actor_mean) + actor_logtstd = self.param("log_std", nn.initializers.zeros, (self.action_dim,)) + pi = distrax.MultivariateNormalDiag(actor_mean, jnp.exp(actor_logtstd)) # changed actor_mean to jnp.exp + + critic = nn.Dense(256, kernel_init=orthogonal(np.sqrt(2)), bias_init=constant(0.0))(x) + critic = activation(critic) + critic = nn.Dense(256, kernel_init=orthogonal(np.sqrt(2)), bias_init=constant(0.0))(critic) + critic = activation(critic) + critic = nn.Dense(1, kernel_init=orthogonal(1.0), bias_init=constant(0.0))(critic) + + return pi, jnp.squeeze(critic, axis=-1) + + +class Transition(NamedTuple): + done: jnp.ndarray + action: jnp.ndarray + value: jnp.ndarray + reward: jnp.ndarray + log_prob: jnp.ndarray + obs: jnp.ndarray + info: jnp.ndarray + + +def rollout(env, params, env_params, num_steps=10, num_envs=4, activation="tanh"): + rng = jax.random.PRNGKey(30) + rng, _rng = jax.random.split(rng) + reset_rng = jax.random.split(_rng, num_envs) + observations = [] + actions = [] + rewards = [] + dones = [] + + # Wrap before reset so the wrapped env is used throughout + env = ClipAction(env) + + obs, env_state = env.reset(reset_rng, env_params) + + network = ActorCritic(env.action_space(env_params).shape[0], activation=activation) + + for _ in range(num_steps): + observations.append(obs) + + rng, action_rng = jax.random.split(rng) + pi, _ = network.apply(params, obs) + action = pi.sample(seed=action_rng) + actions.append(action) + + rng, step_rng = jax.random.split(rng) + obs, env_state, reward, done, _ = env.step(step_rng, env_state, action, env_params) + rewards.append(reward) + dones.append(done) + + return { + "observations": jnp.array(observations), + "actions": jnp.array(actions), + "rewards": jnp.array(rewards), + "dones": jnp.array(dones), + } + + +def make_train(config): + total_batch = config["NUM_ENVS"] * config["NUM_STEPS"] + if total_batch % config["NUM_MINIBATCHES"] != 0: + raise ValueError( + f"NUM_ENVS * NUM_STEPS ({config['NUM_ENVS']} * {config['NUM_STEPS']} = {total_batch}) " + f"must be divisible by NUM_MINIBATCHES ({config['NUM_MINIBATCHES']}). " + f"Valid NUM_MINIBATCHES values for your settings: " + f"{[d for d in range(1, total_batch + 1) if total_batch % d == 0]}" + ) + config["NUM_UPDATES"] = config["TOTAL_TIMESTEPS"] // config["NUM_STEPS"] // config["NUM_ENVS"] + config["MINIBATCH_SIZE"] = total_batch // config["NUM_MINIBATCHES"] + env, env_params = make_env(config) + env = LogWrapper(env) + env = ClipAction(env) + env = VecEnv(env) + + if config["NORMALIZE_ENV"]: + env = NormalizeVecObservation(env) + env = NormalizeVecReward(env, config["GAMMA"]) + + def linear_schedule(count): + frac = 1.0 - (count // (config["NUM_MINIBATCHES"] * config["UPDATE_EPOCHS"])) / config["NUM_UPDATES"] + return config["LR"] * frac + + # @partial(jax.jit, static_argnums=(1,)) + def train(rng): + # INIT NETWORK + network = ActorCritic(env.action_space(env_params).shape[0], activation=config["ACTIVATION"]) + rng, _rng = jax.random.split(rng) + init_x = jnp.zeros(env.observation_space(env_params).shape) + network_params = network.init(_rng, init_x) + if config["ANNEAL_LR"]: + tx = optax.chain( + optax.clip_by_global_norm(config["MAX_GRAD_NORM"]), + optax.adam(learning_rate=linear_schedule, eps=1e-5), + ) + else: + tx = optax.chain( + optax.clip_by_global_norm(config["MAX_GRAD_NORM"]), + optax.adam(config["LR"], eps=1e-5), + ) + train_state = TrainState.create( + apply_fn=network.apply, + params=network_params, + tx=tx, + ) + + # INIT ENV + rng, _rng = jax.random.split(rng) + reset_rng = jax.random.split(_rng, config["NUM_ENVS"]) + obsv, env_state = env.reset(reset_rng, env_params) + + # TRAIN LOOP + def _update_step(runner_state, unused): + # COLLECT TRAJECTORIES + def _env_step(runner_state, unused): + train_state, env_state, last_obs, rng = runner_state + + # SELECT ACTION + rng, _rng = jax.random.split(rng) + pi, value = network.apply(train_state.params, last_obs) + action = pi.sample(seed=_rng) # clip action here + log_prob = pi.log_prob(action) + + # STEP ENV + rng, _rng = jax.random.split(rng) + rng_step = jax.random.split(_rng, config["NUM_ENVS"]) + obsv, env_state, reward, done, info = env.step(rng_step, env_state, action, env_params) + transition = Transition(done, action, value, reward, log_prob, last_obs, info) + runner_state = (train_state, env_state, obsv, rng) + return runner_state, transition + + runner_state, traj_batch = jax.lax.scan(_env_step, runner_state, None, config["NUM_STEPS"]) + + # CALCULATE ADVANTAGE + train_state, env_state, last_obs, rng = runner_state + _, last_val = network.apply(train_state.params, last_obs) + + def _calculate_gae(traj_batch, last_val): + def _get_advantages(gae_and_next_value, transition): + gae, next_value = gae_and_next_value + done, value, reward = ( + transition.done, + transition.value, + transition.reward, + ) + delta = reward + config["GAMMA"] * next_value * (1 - done) - value + gae = delta + config["GAMMA"] * config["GAE_LAMBDA"] * (1 - done) * gae + return (gae, value), gae + + _, advantages = jax.lax.scan( + _get_advantages, + (jnp.zeros_like(last_val), last_val), + traj_batch, + reverse=True, + unroll=16, + ) + return advantages, advantages + traj_batch.value + + advantages, targets = _calculate_gae(traj_batch, last_val) + + # UPDATE NETWORK + def _update_epoch(update_state, unused): + def _update_minbatch(train_state, batch_info): + traj_batch, advantages, targets = batch_info + + def _loss_fn(params, traj_batch, gae, targets): + # RERUN NETWORK + pi, value = network.apply(params, traj_batch.obs) + log_prob = pi.log_prob(traj_batch.action) + + # CALCULATE VALUE LOSS + value_pred_clipped = traj_batch.value + (value - traj_batch.value).clip( + -config["CLIP_EPS"], config["CLIP_EPS"] + ) + value_losses = jnp.square(value - targets) + value_losses_clipped = jnp.square(value_pred_clipped - targets) + value_loss = 0.5 * jnp.maximum(value_losses, value_losses_clipped).mean() + + # CALCULATE ACTOR LOSS + ratio = jnp.exp(log_prob - traj_batch.log_prob) + gae = (gae - gae.mean()) / (gae.std() + 1e-8) + loss_actor1 = ratio * gae + loss_actor2 = ( + jnp.clip( + ratio, + 1.0 - config["CLIP_EPS"], + 1.0 + config["CLIP_EPS"], + ) + * gae + ) + loss_actor = -jnp.minimum(loss_actor1, loss_actor2) + loss_actor = loss_actor.mean() + entropy = pi.entropy().mean() + + total_loss = loss_actor + config["VF_COEF"] * value_loss - config["ENT_COEF"] * entropy + return total_loss, (value_loss, loss_actor, entropy) + + grad_fn = jax.value_and_grad(_loss_fn, has_aux=True) + total_loss, grads = grad_fn(train_state.params, traj_batch, advantages, targets) + train_state = train_state.apply_gradients(grads=grads) + return train_state, total_loss + + train_state, traj_batch, advantages, targets, rng = update_state + rng, _rng = jax.random.split(rng) + batch_size = config["MINIBATCH_SIZE"] * config["NUM_MINIBATCHES"] + permutation = jax.random.permutation(_rng, batch_size) + batch = (traj_batch, advantages, targets) + batch = jax.tree_util.tree_map(lambda x: x.reshape((batch_size,) + x.shape[2:]), batch) + shuffled_batch = jax.tree_util.tree_map(lambda x: jnp.take(x, permutation, axis=0), batch) + minibatches = jax.tree_util.tree_map( + lambda x: jnp.reshape(x, [config["NUM_MINIBATCHES"], -1] + list(x.shape[1:])), + shuffled_batch, + ) + train_state, total_loss = jax.lax.scan(_update_minbatch, train_state, minibatches) + update_state = (train_state, traj_batch, advantages, targets, rng) + return update_state, total_loss + + update_state = (train_state, traj_batch, advantages, targets, rng) + update_state, loss_info = jax.lax.scan(_update_epoch, update_state, None, config["UPDATE_EPOCHS"]) + train_state = update_state[0] + metric = traj_batch.info + rng = update_state[-1] + + if config.get("DEBUG"): + + def callback(info): + step = int(info["timestep"].max()) + total = config["TOTAL_TIMESTEPS"] + pct = 100.0 * step / total + + # Extra env-specific metrics + extras = [] + if "mean_tke" in info: + extras.append(f"mean_tke={float(info['mean_tke'].mean()):.4f}") + + # Completed episodes in this rollout batch + done_mask = info["returned_episode"] + if done_mask.any(): + mean_return = float(info["returned_episode_returns"][done_mask].mean()) + extras.append(f"return={mean_return:.4f}") + + extra_str = " " + " ".join(extras) if extras else "" + print(f" step {step:>6}/{total} ({pct:5.1f}%){extra_str}") + + jax.debug.callback(callback, metric) + + runner_state = (train_state, env_state, last_obs, rng) + return runner_state, metric + + rng, _rng = jax.random.split(rng) + runner_state = (train_state, env_state, obsv, _rng) + runner_state, metric = jax.lax.scan(_update_step, runner_state, None, config["NUM_UPDATES"]) + return {"runner_state": runner_state, "metrics": metric} + + return train + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="PPO training for HydroGym JAX environments") + parser.add_argument( + "--env", + default="kolmogorov", + choices=["kolmogorov", "channel"], + help="Environment to train on (default: kolmogorov)", + ) + parser.add_argument("--total-timesteps", type=int, default=4000) + parser.add_argument("--num-envs", type=int, default=4) + parser.add_argument("--num-steps", type=int, default=10) + parser.add_argument("--num-minibatches", type=int, default=8, help="Must divide NUM_ENVS * NUM_STEPS (default: 8)") + parser.add_argument("--lr", type=float, default=1e-4) + parser.add_argument("--model-save-path", default=None, help="Path to save trained model (.pkl)") + parser.add_argument("--plot-path", default=None, help="Path to save reward plot (.png)") + args = parser.parse_args() + + model_save_path = args.model_save_path or f"trained_model_{args.env}.pkl" + plot_path = args.plot_path or f"plot_reward_{args.env}.png" + + config = { + "ENV_NAME": args.env, + "LR": args.lr, + "NUM_ENVS": args.num_envs, + "NUM_STEPS": args.num_steps, + "TOTAL_TIMESTEPS": args.total_timesteps, + "UPDATE_EPOCHS": 10, + "NUM_MINIBATCHES": args.num_minibatches, + "GAMMA": 0.99, + "GAE_LAMBDA": 0.985, + "CLIP_EPS": 0.2, + "ENT_COEF": 0.1, + "VF_COEF": 0.5, + "MAX_GRAD_NORM": 0.5, + "ACTIVATION": "tanh", + "ANNEAL_LR": False, + "NORMALIZE_ENV": False, + "DEBUG": True, + "MODEL_SAVE_PATH": model_save_path, + "PLOT_TRAINING_PATH": plot_path, + } + + print(f"=== PPO Training: {args.env} environment ===") + print(f" Total timesteps : {config['TOTAL_TIMESTEPS']}") + print(f" Num envs : {config['NUM_ENVS']}") + print(f" Num steps : {config['NUM_STEPS']}") + print(f" Learning rate : {config['LR']}") + print(f" Model save path : {model_save_path}") + print(f" Plot save path : {plot_path}") + print("") + + rng = jax.random.PRNGKey(30) + # train_jit = make_train(config) + train_jit = jax.jit(make_train(config)) + out = train_jit(rng) + + # After training is completed + trained_params = out["runner_state"][0].params + save_model(trained_params, config["MODEL_SAVE_PATH"]) + + plt.plot(out["metrics"]["returned_episode_returns"].mean(-1).reshape(-1)) + plt.xlabel("Updates") + plt.ylabel("Return") + plt.show() + plt.savefig(config["PLOT_TRAINING_PATH"], format="png") + jnp.save("rewardovertime", out["metrics"]["returned_episode_returns"].mean(-1).reshape(-1)) diff --git a/examples/jax/getting_started/3_ppo/run_ppo_docker.sh b/examples/jax/getting_started/3_ppo/run_ppo_docker.sh new file mode 100644 index 0000000..76369b0 --- /dev/null +++ b/examples/jax/getting_started/3_ppo/run_ppo_docker.sh @@ -0,0 +1,56 @@ +#!/usr/bin/env bash +# +# Run PPO training on a HydroGym JAX environment. +# +# All arguments are forwarded directly to run_ppo.py. +# +# ── Supported environments ──────────────────────────────────────────────────── +# +# kolmogorov -- 2D Kolmogorov flow (Re=200, 64×64 pseudo-spectral) +# Action: 4 sinusoidal body-force amplitudes (wavenumbers 4-7) +# Observation: 8×8 = 64 velocity probe values +# Reward: -(reward_alpha * TKE + action_penalty) +# +# channel -- 3D turbulent channel flow (Re_tau=180, 72×72×72 DNS) +# Action: 24 wall-normal jet amplitudes (6×4 Gaussian patches) +# Observation: 8×8×2 = 128 near-wall velocity samples +# Reward: -WSS (minimize wall shear stress / skin-friction drag) +# Note: significantly more expensive per step than Kolmogorov. +# The initial turbulent field is downloaded from HuggingFace on +# the first run and cached at ~/.cache/hydrogym/. +# +# ── Usage ───────────────────────────────────────────────────────────────────── +# +# ./run_ppo_docker.sh # Kolmogorov defaults +# ./run_ppo_docker.sh --env channel # Channel flow +# ./run_ppo_docker.sh --env kolmogorov --total-timesteps 20000 +# ./run_ppo_docker.sh --env channel --num-envs 2 --num-steps 5 +# ./run_ppo_docker.sh --help # Full argument list +# +# ── Output ──────────────────────────────────────────────────────────────────── +# +# trained_model_.pkl -- serialised Flax parameter tree +# plot_reward_.png -- episode return vs. update steps +# rewardovertime.npy -- raw return array +# + +set -e + +module purge +module load Python/3.12.3-GCCcore-13.3.0 + +# Activate Python environment +source /home/easybuild/venvs/hydrogym_gpu/bin/activate + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" + +python "$SCRIPT_DIR/run_ppo.py" "$@" + +EXIT_CODE=$? +echo "" +if [ $EXIT_CODE -eq 0 ]; then + echo "Training completed successfully." +else + echo "Training failed with exit code: $EXIT_CODE" +fi +exit $EXIT_CODE diff --git a/examples/jax/getting_started/README.md b/examples/jax/getting_started/README.md new file mode 100644 index 0000000..5e5252f --- /dev/null +++ b/examples/jax/getting_started/README.md @@ -0,0 +1,187 @@ +# Getting Started with JAX Environments + +**START HERE** for JAX-based flow control examples using `env.reset_env()` and `env.step_env()`. + +This directory contains three examples covering the two available JAX environments and a pure-JAX PPO training loop that works with both. + +> **Note:** JAX environments run entirely on GPU inside a single JIT-compiled Python process — no MPI or separate solver process is needed. + +## Directory Structure + +Each subdirectory demonstrates a specific environment or training workflow: + +### 1. [`1_kolmogorov/`](1_kolmogorov/) — 2D Kolmogorov Flow +**Solver:** 2D pseudo-spectral Navier-Stokes (64×64 Fourier modes, Re=200) +**Action:** 4 sinusoidal body-force amplitudes (wavenumbers 4–7) +**Observation:** 8×8 grid of velocity probe values (64-dimensional) +**Reward:** `-(reward_alpha * TKE + action_penalty)` +**Precision:** float64 required for JIT stability + +```python +import jax +jax.config.update("jax_enable_x64", True) # required for JIT stability + +from hydrogym.jax.envs.kolmogorov import KolmogorovFlow + +env = KolmogorovFlow(env_config={}, flow_config={}) +params = env.default_params + +# Tune reward objective via reward_alpha: +# reward_alpha > 0 → suppress TKE (laminarization) +# reward_alpha < 0 → maximize TKE (enhance mixing) +params = params.replace(reward_alpha=1.0) + +jit_reset = jax.jit(env.reset_env) +jit_step = jax.jit(env.step_env) + +key = jax.random.PRNGKey(0) +obs, state = jit_reset(key, params) +action = jnp.array([-0.25, -0.03, 0.02, 0.01]) # 4 body-force amplitudes +obs, state, reward, done, info = jit_step(key, state, action, params) +``` + +**Files:** +- `test_kolmogorov_env.py` — JIT-compiled environment runner with three modes and configurable `--dtype`, `--dt`, `--num-steps` +- `kolmogorov.ipynb` — interactive notebook with vorticity visualizations +- `run_kolmogorov_docker.sh` — bash launcher: `run_kolmogorov_docker.sh [mode] [num_steps] [dtype]` + +**Bash usage:** +```bash +./run_kolmogorov_docker.sh # minimize_tke, 10 steps, float64 +./run_kolmogorov_docker.sh maximize_tke 500 # maximize TKE, 500 steps +./run_kolmogorov_docker.sh minimize_tke 100 float32 # float32 (may diverge — use smaller --dt) +``` + +**Precision note:** The pseudo-spectral 2D NS solver is numerically marginally stable. Under XLA compilation (JIT), float32 arithmetic reordering can trigger blow-up. Use float64 (default) for reliable results. To experiment with float32, reduce `dt` via `env_config={"dt": 5e-4}` or `--dt 5e-4`. + +--- + +### 2. [`2_channel/`](2_channel/) — 3D Turbulent Channel Flow +**Solver:** 3D pseudo-spectral DNS (72×72×72, Re_tau=180) +**Action:** 24 wall-normal jet amplitudes on a 6×4 grid of Gaussian patches +**Observation:** 8×8×2 near-wall velocity samples (128-dimensional) +**Reward:** `-WSS` (minimize wall shear stress / skin-friction drag) +**Precision:** float32 by default (stable); float64 available + +```python +import jax +from hydrogym.jax.envs.channel import ChannelFlowSpectralEnv + +env = ChannelFlowSpectralEnv(env_config={"dtype": "float32"}) # or "float64" +params = env.default_params + +jit_reset = jax.jit(env.reset_env) +jit_step = jax.jit(env.step_env) + +key = jax.random.PRNGKey(0) +obs, state = jit_reset(key, params) + +# Zero action: passive turbulence evolution (baseline) +action = jnp.zeros((params.action_dim,)) # shape (24,) +obs, state, reward, done, info = jit_step(key, state, action, params) +# reward = -WSS; WSS ≈ 0.0019 for uncontrolled Re_tau=180 +``` + +**Note:** The initial turbulent field (`U.npy`, `V.npy`, `W.npy`) is downloaded from Hugging Face Hub on the first run and cached at `~/.cache/hydrogym/`. + +**Files:** +- `test_channel_env.py` — JIT-compiled environment runner with three modes and configurable `--dtype`, `--num-steps` +- `channel.ipynb` — interactive notebook +- `run_channel_docker.sh` — bash launcher: `run_channel_docker.sh [mode] [num_steps] [dtype]` + +**Bash usage:** +```bash +./run_channel_docker.sh # no_actuation, 5 steps, float32 +./run_channel_docker.sh drag_reduction 20 # 20 steps +./run_channel_docker.sh strong_actuation 10 float64 # float64 precision +``` + +--- + +### 3. [`3_ppo/`](3_ppo/) — Pure-JAX PPO Training +**Interface:** Works with both `KolmogorovFlow` and `ChannelFlowSpectralEnv` +**Framework:** Pure JAX (Flax + Optax + Distrax) — no Stable-Baselines3 +**Style:** PureJAX — entire rollout + update loop is JIT-compiled via `jax.lax.scan` + +```python +# Select environment via --env argument +python run_ppo.py --env kolmogorov --total-timesteps 20000 +python run_ppo.py --env channel --total-timesteps 5000 --num-envs 2 --num-steps 5 +``` + +The training loop uses `VecEnv` to run `NUM_ENVS` parallel environments inside a single JIT-compiled scan, which is significantly faster than Python-level parallelism. + +**Key hyperparameters:** + +| Parameter | Default | Description | +|---|---|---| +| `--total-timesteps` | 4000 | Total environment steps | +| `--num-envs` | 4 | Parallel environments per update | +| `--num-steps` | 10 | Rollout length per environment | +| `--num-minibatches` | 8 | Must divide `num_envs × num_steps` | +| `--lr` | 1e-4 | Adam learning rate | + +**Output:** +- `trained_model_.pkl` — serialized Flax parameter tree +- `plot_reward_.png` — episode return vs. update steps +- `rewardovertime.npy` — raw return array + +**Files:** +- `run_ppo.py` — full PPO implementation (ActorCritic, GAE, clipped surrogate loss) +- `run_ppo_docker.sh` — bash wrapper that activates the venv and forwards all arguments + +--- + +## Quick Start + +### 1. Choose Your Example + +- **Explore flow physics?** → Start with `1_kolmogorov/` (faster, 2D) +- **Drag reduction?** → Try `2_channel/` (more expensive, 3D DNS) +- **Train an RL agent?** → Go to `3_ppo/` + +### 2. Test the Environment + +```bash +cd 1_kolmogorov/ +./run_kolmogorov_docker.sh # minimize TKE, 10 steps, float64 +./run_kolmogorov_docker.sh maximize_tke # maximize TKE +./run_kolmogorov_docker.sh no_actuation 500 # baseline, 500 steps +./run_kolmogorov_docker.sh minimize_tke 10 float32 # float32 (may diverge) +``` + +```bash +cd 2_channel/ +./run_channel_docker.sh # baseline (no actuation), float32 +./run_channel_docker.sh drag_reduction 20 # uniform suction, 20 steps +./run_channel_docker.sh strong_actuation 10 float64 # checkerboard jets, float64 +``` + +### 3. Train a PPO Agent + +```bash +cd 3_ppo/ +./run_ppo_docker.sh --env kolmogorov --total-timesteps 20000 +./run_ppo_docker.sh --env channel --num-envs 2 --num-steps 5 --total-timesteps 5000 +./run_ppo_docker.sh --help # full argument list +``` + +## Comparison Table + +| Directory | Environment | Dims | Action | Precision | GPU cost | Best For | +|---|---|---|---|---|---|---| +| **1_kolmogorov** | `KolmogorovFlow` | 2D 64×64 | 4 body-force modes | float64 | Low | Quick experiments, tunable reward | +| **2_channel** | `ChannelFlowSpectralEnv` | 3D 72³ | 24 wall jets | float32 | High | Turbulent drag reduction | +| **3_ppo** | Both | — | — | Env-dependent | Depends on env | End-to-end JAX RL training | + +## Requirements + +- JAX with GPU support (`jax[cuda12]` or equivalent) +- `flax`, `optax`, `distrax` (for `3_ppo/`) +- Internet access on first run for the channel flow initial field + +--- + +**Last Updated**: April 2026 +**HydroGym Version**: 1.0+ +**Maintainer**: HydroGym Team