Taichi Elements Save

High-performance multi-material continuum physics engine in Taichi

Project README

Taichi Elements Build Status Code Coverage

Taichi elements is a high-performance multi-material continuum physics engine (work in progress).

Features:

  • Cross-platform: Windows, Linux, and OS X
  • Supports multi-threaded CPUs and massively parallel GPUs
  • Supports multiple materials, including water, elastic objects, snow, and sand
  • Supports (virtually) infinitely large simulation domains
  • Supports sparse grids
  • Highly efficient and scalable, especially on GPUs




Using taichi_elements in Python


Run demo with Python

  • Install taichi with pip: python3 -m pip install taichi
  • Execute python3 download_ply.py to download model files used by the demos
  • Execute python3 demo/demo_2d.py and you will see
  • Execute python3 demo_3d.py and you will see a 3D simulation visualized in 2D
  • Execute python3 demo_3d_ggui.py and you will see a 3D simulation rendered with GGUI. Note that GGUI requires Vulkan so please make sure your platform supports that.
  • Execute python3 demo/demo_2d_sparse_active_blocks.py to get a visual understanding of Taichi sparse computation

To simulate and render an example 3D scene with Python

  • Make sure you have a modern NVIDIA GPU (e.g. GTX 1080)
  • Execute python3 download_ply.py to download model files
  • Run python3 demo/demo_3d_letters.py (wait for at least 10 frames)
    • A binary particle folder with a timestamp in its time (e.g., sim_2020-07-27_20-55-48) will be created under the current folder.
  • Example:
python3 render_particles.py \
    -i ./path/to/particles \
    -b 0 -e 400 -s 1 \
    -o ./output \
    --gpu-memory 20 \
    -M 460 \
    --shutter-time 0.0 \
    -r 128
  • Images are in the output/ folder. For example, 100 million MPM particles simulated in 8 hours on a V100 GPU:

[Watch on YouTube]

  • Here is a one-billion-particle simulation on a GPU with 80 GB memory. Each particle takes 40 bytes, thanks to quantization.

https://user-images.githubusercontent.com/2309174/162767279-2ced8a2f-38bd-42d6-9bb8-a827144464ff.mp4




Using taichi_elements in Blender


Installing Taichi for Blender

(Not sure if it is the standard approach, but it works for now.)

  • Install Blender 3.4.1
  • Find the Python3 executable bundled in Blender. Open a console in Blender and type in
import sys
print(sys.exec_prefix)

The output looks like /XXX/blender-2.81a-linux-glibc217-x86_64/2.81, which means python3 is located at /XXX/blender-2.81a-linux-glibc217-x86_64/2.81/python/bin/python3.7

  • Install pip using that Python executable
  • Install Taichi: ./python3.7m -m pip install --upgrade taichi (Note: as of Oct 8 2021, Taichi version is v0.8.1. Please use the latest version.)

Installing taichi_elements (experimental) for Blender

  • Set the environment variable BLENDER_USER_ADDON_PATH, e.g. /home/XXX/.config/blender/2.81/scripts/addons
  • Go to utils folder
  • Execute python3 install_blender_addon.py to install the addon
    • If you are doing development and wish to keep refreshing the installed addon, add an argument -k.
  • Restart Blender to reload the addon
Open Source Agenda is not affiliated with "Taichi Elements" Project. README Source: taichi-dev/taichi_elements
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