Frequently Asked Questions
Why does my
package not found when installing Taichi?
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
There is no built-in constant such as
pi. We recommended using
Outer-most loops in Taichi kernels are by default parallel. How can I serialize one of them?
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?
One feasible solution is
Can Taichi interact with other Python packages such as
Yes, Taichi supports many popular Python packages. Taichi provides helper functions such as
to_numpy to transfer data between Taichi fields and NumPy arrays, so that you can also use your favorite Python packages (e.g.,
matplotlib) together with Taichi as below:
import taichi as ti
pixels = ti.field(ti.f32, (1024, 512))
import numpy as np
arr = np.random.rand(1024, 512)
pixels.from_numpy(arr) # load numpy data into taichi fields
import matplotlib.pyplot as plt
arr = pixels.to_numpy() # store taichi data into numpy arrays
import matplotlib.cm as cm
cmap = cm.get_cmap('magma')
gui = ti.GUI('Color map')
arr = pixels.to_numpy()
Besides, you can also pass numpy arrays or torch tensors into a Taichi kernel as arguments. See Interacting with external arrays for more details.
How do I declare a field with a dynamic length?
dynamic SNode supports variable-length fields. It acts similarly to
std::vector in C++ or
list in Python.
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
SNodes may be less efficient than using
dense SNodes, due to dynamic data structure
How do I program on less structured data structures (such as graphs and tetrahedral meshes) in Taichi?
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).