Frequently Asked Questions
Why does my pip complain package not found when installing Taichi?â
You may have a Python interpreter with an unsupported version. Currently, Taichi only supports Python 3.6/3.7/3.8 (64-bit) . For more information about installation related issues, please check Installation Troubleshooting.
Does Taichi provide built-in constants such as ti.pi?â
There is no built-in constant such as pi. We recommended using math.pi directly.
Outer-most loops in Taichi kernels are by default parallel. How can I serialize one of them?â
A solution is to add an additional ghost loop with only one iteration outside the loop you want to serialize.
for _ in range(1): # This "ghost" loop will be "parallelized", but with only one thread. Therefore, the containing loop below is serialized.
for i in range(100): # The loop you want to serialize
...
What is the most convenient way to load images into Taichi fields?â
One feasible solution is field.from_numpy(ti.tools.imread('filename.png')).
Can Taichi interact with other Python packages such as matplotlib?â
Yes, Taichi supports various popular Python packages. Please check out Interacting with other Python packages.
How do I declare a field with a dynamic length?â
The dynamic SNode supports variable-length fields. It acts similarly to std::vector in C++ or list in Python.
tip
An alternative solution is to allocate a large enough dense field, with a corresponding 0-D field
field_len[None] tracking its length. In practice, programs allocating memory using dynamic
SNodes may be less efficient than using dense SNodes, due to dynamic data structure
maintainance overheads.
How do I program on less structured data structures (such as graphs and tetrahedral meshes) in Taichi?â
These structures have to be decomposed into 1D Taichi fields. For example, when representing a graph, you can allocate two fields, one for the vertices and the other for the edges. You can then traverse the elements using for v in vertices or for v in range(n).