From 4d2d60a84a6246617228e05981f4ab51d66d19c8 Mon Sep 17 00:00:00 2001 From: Silvio Traversaro Date: Fri, 29 Nov 2024 10:34:58 +0100 Subject: [PATCH] Add support for running the simulation with pixi, optionally with the ma97 linear solver (#1) --- .gitattributes | 2 + .gitignore | 6 + README.md | 49 +- coinhsl_src/.gitignore | 3 + pixi.lock | 9124 +++++++++++++++++ pixi.toml | 483 + run_simulation.sh | 15 +- scripts/pixi/check_and_extract_coinhsl.py | 40 + scripts/pixi/replace_mumps_with_coinhsl.py | 31 + .../{world => world_rtf_0_1} | 0 .../dnn_mpc_ergoCubGazeboV1_1/world_rtf_0_5 | 64 + 11 files changed, 9813 insertions(+), 4 deletions(-) create mode 100644 .gitattributes create mode 100644 coinhsl_src/.gitignore create mode 100644 pixi.lock create mode 100644 pixi.toml create mode 100644 scripts/pixi/check_and_extract_coinhsl.py create mode 100644 scripts/pixi/replace_mumps_with_coinhsl.py rename worlds/dnn_mpc_ergoCubGazeboV1_1/{world => world_rtf_0_1} (100%) create mode 100644 worlds/dnn_mpc_ergoCubGazeboV1_1/world_rtf_0_5 diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..8f61a8e --- /dev/null +++ b/.gitattributes @@ -0,0 +1,2 @@ +# SCM syntax highlighting +pixi.lock linguist-language=YAML linguist-generated=true diff --git a/.gitignore b/.gitignore index da942d0..c8a676c 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,7 @@ # build folders build* +.build* +.pixi_install_prefix # emacs *~ @@ -159,3 +161,7 @@ cython_debug/ scripts/plotting/animations/** scripts/plotting/figures/** scripts/generate_animation_meshcat/website/** + +# pixi environments +.pixi +*.egg-info diff --git a/README.md b/README.md index 0be9ffb..99b04d6 100644 --- a/README.md +++ b/README.md @@ -31,23 +31,28 @@ https://github.com/user-attachments/assets/404c9af8-528e-43c2-abd2-138a98adfc04 ## Reproducing the Experiments +You can reprocue the experiments in two ways: either with conda or pixi. + +### Conda + + To reproduce the experiments, we provide a conda environment for easy setup. Follow the steps below: -### 1. Install the Environment +#### 1. Install the Environment Run the following command to create the conda environment: ```bash conda env create -f environment.yml ``` -### 2. Activate the Environment +#### 2. Activate the Environment Activate the newly created environment: ```bash conda activate dnn-mpc-env ``` -### 3. Run the Simulation +#### 3. Run the Simulation Start the experiment with: ```bash @@ -63,6 +68,44 @@ When prompted, type `y` and press `Enter` to start the simulation. The humanoid ⚠️ **Known Issue:** The Gazebo real-time factor is scaled by a factor of 10. This is due to the use of the MUMPS linear solver in the IPOPT docker image. Alternative solvers (e.g., MA27) are available but cannot be redistributed. + +### Pixi + +To run the experiments with pixi on Linux, just download the repo and run: + +~~~ +git clone https://github.com/ami-iit/paper_romualdi_viceconte_2024_humanoids_dnn-mpc-walking +cd paper_romualdi_viceconte_2024_humanoids_dnn-mpc-walking +pixi run -e default run_simulation +~~~ + +This command will install all the dependencies, compiled the code and run the simulation. At that point, when prompted, type `y` and press `Enter` to start the simulation. The humanoid robot will begin walking, and you can observe its behavior in the Gazebo simulator. + +⚠️ **Known Issue:** The Gazebo real-time factor is scaled by a factor of 10. This is due to the use of the MUMPS linear solver in the IPOPT docker image. If you have have access to a Coin-HSL license, you can use it following the instructions in the following, to reduce the Gazebo real-time factor scaling from 10 to 2. + +To run the simulation using the Coin-HSL's `ma97` solver, follow the following steps: + +1. Go to https://licences.stfc.ac.uk/product/coin-hsl, and: + - If you already have a license for Coin-HSL: + - Go to https://licences.stfc.ac.uk/account/orders and find the coin-hsl order. + - Download the coinhsl-2023.11.17.zip file and place it in the './coinhsl_src' folder of this repository. + - If you do not have a license for Coin-HSL: + - If you are an academic, request a license at https://licences.stfc.ac.uk/product/coin-hsl. + - If you are not an academic, purchase a license at https://licences.stfc.ac.uk/product/coin-hsl. + - Once your order is approved, download the coinhsl-2023.11.17.zip file and place it in the './coinhsl_src' folder. + +Once the `coinhsl-2023.11.17.zip` archive is in the './coinhsl_src' folder, just run: + +~~~ +pixi run -e coinhsl run_simulation +~~~ + +This will execute the same steps of running `pixi run -e default run_simulation`, but additionally it will: +* compile `coinhsl` to be able to use the `ma97` linear solver, +* it will modify the configuration files to use `ma97` +* use a different Gazebo world model, to ensure a faster simulation. + + --- ## Maintainers diff --git a/coinhsl_src/.gitignore b/coinhsl_src/.gitignore new file mode 100644 index 0000000..da716c0 --- /dev/null +++ b/coinhsl_src/.gitignore @@ -0,0 +1,3 @@ +# We do not want to accidentally push the non-distributable source files +# to the repo, so we add it in the .gitignore +coinhsl-2023.11.17.zip diff --git a/pixi.lock b/pixi.lock new file mode 100644 index 0000000..71d769c --- /dev/null +++ b/pixi.lock @@ -0,0 +1,9124 @@ +version: 5 +environments: + coinhsl: + channels: + - url: https://conda.anaconda.org/robotology/ + - url: https://conda.anaconda.org/conda-forge/ + packages: + linux-64: + - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2 + - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2 + - conda: 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"conda-forge"] +description = "Add a short description here" +name = "dnn-mpc-env" +platforms = ["linux-64"] +version = "0.1.0" + +[target.unix.activation.env] +PATH = "$PATH:$PIXI_PROJECT_ROOT/.pixi_install_prefix/bin" + +[feature.mumps.activation.env] +DNNMPC_LINEAR_SOLVER = "default" + +[feature.coinhsl.activation.env] +DNNMPC_LINEAR_SOLVER = "coinhsl" + +[tasks] +install = { cmd = "cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTING:BOOL=ON -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX -GNinja -S. -B.build-default && cmake --build .build-default --config Release && cmake --install .build-default --config Release", outputs=["./.pixi/envs/default/bin/dnn-mpc-walking"] } +uninstall = { cmd = ["cmake", "--build", ".build", "--target", "uninstall"]} +run_simulation = { cmd = "bash run_simulation.sh", depends_on = ["install"] } + +[feature.coinhsl.tasks] +# This is duplicated as apparently pixi output get confused between the two caches and two build directories +install = { cmd = "cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_TESTING:BOOL=ON -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX -GNinja -S. -B.build-coinhsl && cmake --build .build-coinhsl --config Release && cmake --install .build-coinhsl --config Release", outputs=["./.pixi/envs/coinhsl/bin/dnn-mpc-walking"] } +install_coinhsl = { cmd = "python $PIXI_PROJECT_ROOT/scripts/pixi/check_and_extract_coinhsl.py && meson setup ./.build-coinhsl/coinhsl-2023.11.17-build/ ./.build-coinhsl/coinhsl-2023.11.17 --buildtype=release -Dlibdir=lib --prefix=$CONDA_PREFIX -Dmodules=false && meson compile -C ./.build-coinhsl/coinhsl-2023.11.17-build/ && meson install -C ./.build-coinhsl/coinhsl-2023.11.17-build/ && cp ./.pixi/envs/coinhsl/lib/libcoinhsl.so ./.pixi/envs/coinhsl/lib/libhsl.so" , outputs=["./.pixi/envs/coinhsl/lib/libhsl.so"] } +install_with_coinhsl = { cmd = "python $PIXI_PROJECT_ROOT/scripts/pixi/replace_mumps_with_coinhsl.py", depends_on = ["install"] } +run_simulation = { cmd = "bash run_simulation.sh", depends_on = ["install_with_coinhsl", "install_coinhsl"] } + + +[environments] + +# The default environment uses mumps as linear solver +default = {features = ["mumps"], solve-group = "common-solve-group"} + +# If a user has access to the coinhsl-2023.11.17 tarball, the coinhsl +# environmemnt can be used for faster walking +coinhsl = {features = [ "coinhsl"], solve-group = "common-solve-group"} + + +# Dependencies added only in pixi.toml +[feature.coinhsl.dependencies] +meson = "*" + +# Dependencies generated via pixi init . --import environment.yml +[dependencies] +_libgcc_mutex = { version = "==0.1", build = "conda_forge" } +_openmp_mutex = { version = "==4.5", build = "2_gnu" } +_x86_64-microarch-level = { version = "==1", build = "2_x86_64" } +ace = { version = "==8.0.1", build = "he02047a_0" } +aiohappyeyeballs = { version = "==2.4.3", build = "pyhd8ed1ab_0" } +aiohttp = { version = "==3.11.4", build = "py312h178313f_1" } +aiosignal = { version = "==1.3.1", build = "pyhd8ed1ab_0" } +alsa-lib 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version = "==10.0.0", build = "h59595ed_0" } +tk = { version = "==8.6.13", build = "noxft_h4845f30_101" } +tl-optional = { version = "==1.1.0", build = "hf52228f_1" } +tmux = { version = "==3.5", build = "h4463017_0" } +tomlplusplus = { version = "==3.3.0", build = "hcb278e6_0" } +tzcode = { version = "==2024b", build = "hb9d3cd8_0" } +tzdata = { version = "==2024b", build = "hc8b5060_0" } +unixodbc = { version = "==2.3.12", build = "h661eb56_0" } +urdfdom = { version = "==4.0.1", build = "h7fd8c06_0" } +urdfdom_headers = { version = "==1.1.2", build = "h84d6215_0" } +uriparser = { version = "==0.9.8", build = "hac33072_0" } +utfcpp = { version = "==4.0.6", build = "h005c6e1_0" } +visit_struct = { version = "==1.1.0", build = "hcb278e6_0" } +vtk = { version = "==9.3.1", build = "qt_py312he5e186c_208" } +vtk-base = { version = "==9.3.1", build = "qt_py312h2768b8c_208" } +vtk-io-ffmpeg = { version = "==9.3.1", build = "qt_py312hc8241c7_208" } +wayland = { version = "==1.23.1", build = 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"he73a12e_1" } +xorg-libx11 = { version = "==1.8.10", build = "h4f16b4b_0" } +xorg-libxau = { version = "==1.0.11", build = "hb9d3cd8_1" } +xorg-libxaw = { version = "==1.0.16", build = "hb9d3cd8_0" } +xorg-libxdamage = { version = "==1.1.6", build = "hb9d3cd8_0" } +xorg-libxdmcp = { version = "==1.1.5", build = "hb9d3cd8_0" } +xorg-libxext = { version = "==1.3.6", build = "hb9d3cd8_0" } +xorg-libxfixes = { version = "==6.0.1", build = "hb9d3cd8_0" } +xorg-libxi = { version = "==1.8.2", build = "hb9d3cd8_0" } +xorg-libxinerama = { version = "==1.1.5", build = "h5888daf_1" } +xorg-libxmu = { version = "==1.2.1", build = "hb9d3cd8_1" } +xorg-libxpm = { version = "==3.5.17", build = "hb9d3cd8_1" } +xorg-libxrandr = { version = "==1.5.4", build = "hb9d3cd8_0" } +xorg-libxrender = { version = "==0.9.11", build = "hb9d3cd8_1" } +xorg-libxt = { version = "==1.3.1", build = "hb9d3cd8_0" } +xorg-libxtst = { version = "==1.2.5", build = "hb9d3cd8_3" } +xorg-libxxf86vm = { version = "==1.1.5", build = "hb9d3cd8_4" } +xorg-xf86vidmodeproto = { version = "==2.3.1", build = "hb9d3cd8_1005" } +xorg-xorgproto = { version = "==2024.1", build = "hb9d3cd8_1" } +xz = { version = "==5.2.6", build = "h166bdaf_0" } +yaml = { version = "==0.2.5", build = "h7f98852_2" } +yarl = { version = "==1.17.2", build = "py312h66e93f0_0" } +ycm-cmake-modules = { version = "==0.17.1", build = "h5888daf_0" } +zeromq = { version = "==4.3.5", build = "h3b0a872_7" } +zlib = { version = "==1.3.1", build = "hb9d3cd8_2" } +zstd = { version = "==1.5.6", build = "ha6fb4c9_0" } +zziplib = { version = "==0.13.69", build = "he45264a_2" } + diff --git a/run_simulation.sh b/run_simulation.sh index 49f28fe..739b482 100755 --- a/run_simulation.sh +++ b/run_simulation.sh @@ -1,10 +1,23 @@ #!/bin/bash +env + # Get the directory where this script is located SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd)" # Construct the full path to the 'world' file relative to the script's directory -WORLD_FILE="$SCRIPT_DIR/worlds/dnn_mpc_ergoCubGazeboV1_1/world" +# based on DNNMPC_LINEAR_SOLVER environment variable +if [ -z "${DNNMPC_LINEAR_SOLVER}" ] || [ "${DNNMPC_LINEAR_SOLVER}" = "default" ]; then + # Default case: if DNNMPC_LINEAR_SOLVER is not set or set to 'default', use the "slow" + # world file with RTF 0.1 + WORLD_FILE="$SCRIPT_DIR/worlds/dnn_mpc_ergoCubGazeboV1_1/world_rtf_0_1" +elif [ "${DNNMPC_LINEAR_SOLVER}" = "coinhsl" ]; then + # If DNNMPC_LINEAR_SOLVER is set to 'coinhsl', use the "fast" world file with RTF 0.5 + WORLD_FILE="$SCRIPT_DIR/worlds/dnn_mpc_ergoCubGazeboV1_1/world_rtf_0_5" +else + echo "Error: DNNMPC_LINEAR_SOLVER is set to an invalid value ('${DNNMPC_LINEAR_SOLVER}'). Valid values are 'default' or 'coinhsl'." + exit 1 +fi # Start a new detached tmux session named 'dnn-mpc' with root directory '~/' tmux new-session -d -s dnn-mpc -c ~/ diff --git a/scripts/pixi/check_and_extract_coinhsl.py b/scripts/pixi/check_and_extract_coinhsl.py new file mode 100644 index 0000000..ac69e44 --- /dev/null +++ b/scripts/pixi/check_and_extract_coinhsl.py @@ -0,0 +1,40 @@ +import os +import zipfile +import sys + +# Define file and directories +file_path = './coinhsl_src/coinhsl-2023.11.17.zip' +output_dir = './.build-coinhsl' + +def main(): + if os.path.exists(file_path): + print(f"File '{file_path}' found. Proceeding to unzip...") + + # Ensure the output directory exists + os.makedirs(output_dir, exist_ok=True) + + # Unzipping the file + try: + with zipfile.ZipFile(file_path, 'r') as zip_ref: + zip_ref.extractall(output_dir) + print(f"File unzipped successfully to '{output_dir}'.") + except zipfile.BadZipFile: + print("Error: The file is not a valid ZIP archive.") + sys.exit(1) + else: + print(f"Error: File '{file_path}' does not exist.") + print(""" +Please follow these steps to resolve the issue: +1. Go to https://licences.stfc.ac.uk/product/coin-hsl, and: + - If you already have a license for Coin-HSL: + - Go to https://licences.stfc.ac.uk/account/orders and find the coin-hsl order. + - Download the coinhsl-2023.11.17.zip file and place it in the './coinhsl_src' folder of this repository. + - If you do not have a license for Coin-HSL: + - If you are an academic, request a license at https://licences.stfc.ac.uk/product/coin-hsl. + - If you are not an academic, purchase a license at https://licences.stfc.ac.uk/product/coin-hsl. + - Once your order is approved, download the coinhsl-2023.11.17.zip file and place it in the './coinhsl_src' folder. +""") + sys.exit(1) + +if __name__ == "__main__": + main() diff --git a/scripts/pixi/replace_mumps_with_coinhsl.py b/scripts/pixi/replace_mumps_with_coinhsl.py new file mode 100644 index 0000000..03af74f --- /dev/null +++ b/scripts/pixi/replace_mumps_with_coinhsl.py @@ -0,0 +1,31 @@ +import os + +def replace_mumps_with_ma97(file_path): + # Read the file + with open(file_path, 'r') as file: + content = file.read() + + # Replace occurrences of 'mumps' with 'ma97' + updated_content = content.replace("mumps", "ma97") + + # Write the updated content back to the file + with open(file_path, 'w') as file: + file.write(updated_content) + + print(f"Replaced all occurrences of 'mumps' with 'ma97' in {file_path}") + +# Get the CONDA_PREFIX environment variable +conda_prefix = os.getenv("CONDA_PREFIX") + +if conda_prefix: + # Construct the file path + file_path = os.path.join(conda_prefix, "share/dnn_mpc/robots/ergoCubGazeboV1_1/dnn-mpc/centroidal_mpc.ini") + + if os.path.exists(file_path): + replace_mumps_with_ma97(file_path) + else: + print(f"File does not exist: {file_path}") + os.exit(1) +else: + print("CONDA_PREFIX environment variable is not set.") + os.exit(1) diff --git a/worlds/dnn_mpc_ergoCubGazeboV1_1/world b/worlds/dnn_mpc_ergoCubGazeboV1_1/world_rtf_0_1 similarity index 100% rename from worlds/dnn_mpc_ergoCubGazeboV1_1/world rename to worlds/dnn_mpc_ergoCubGazeboV1_1/world_rtf_0_1 diff --git a/worlds/dnn_mpc_ergoCubGazeboV1_1/world_rtf_0_5 b/worlds/dnn_mpc_ergoCubGazeboV1_1/world_rtf_0_5 new file mode 100644 index 0000000..58f5bec --- /dev/null +++ b/worlds/dnn_mpc_ergoCubGazeboV1_1/world_rtf_0_5 @@ -0,0 +1,64 @@ + + + + + + 0.001 + 0.5 + 500 + + + + false + + + + + model://sun + + + + + model://ground_plane + + + + + + + -0.00120142 0.110569 -0.0368365 + + + + + -0.0475749 0.10829 -0.192063 0.0540067 0 0 0 + + + + + -0.0482403 0.103451 -0.203865 -0.00818984 0 0 0 + + + + + 0.111411 0.0242565 0.050721 -0.543941 -0.322059 -0.00373243 + + + + + 0.0926136 0.0570012 0.0752004 -0.52194 -0.314711 -0.0492877 + + + + model://ergoCub/conf/gazebo_ergocub_robotname.ini + + + + model://ergoCubGazeboV1_1 + 0.0 0.0 0.78 0.0 -0.1 0.0 + + + + + +