taichi.aot
#
- class taichi.aot.Module(arch)#
An AOT module to save and load Taichi kernels.
This module serializes the Taichi kernels for a specific arch. The serialized module can later be loaded to run on that backend, without the Python environment.
Example
Usage:
m = ti.aot.Module(ti.metal)
m.add_kernel(foo)
m.add_kernel(bar)
m.save('/path/to/module')
# Now the module file '/path/to/module' contains the Metal kernels
# for running ``foo`` and ``bar``.- add_field(self, name, field)#
Add a taichi field to the AOT module.
- Parameters
name – name of taichi field
field – taichi field
Example:
>>> a = ti.field(ti.f32, shape=(4,4))
>>> b = ti.field("something")
>>>
>>> m.add_field(a)
>>> m.add_field(b)
>>>
>>> # Must add in sequence
- add_kernel(self, kernel_fn, example_any_arrays=None, name=None)#
Add a taichi kernel to the AOT module.
- Parameters
kernel_fn (Function) – the function decorated by taichi kernel.
example_any_arrays (Dict[int, ti.ndarray]) – a dict where key is arg_id and key is example any_arr input.
name (str) – Name to identify this kernel in the module. If not provided, uses the built-in
__name__
attribute of kernel_fn.
- add_kernel_template(self, kernel_fn)#
Add a taichi kernel (with template parameters) to the AOT module.
- Parameters
kernel_fn (Function) – the function decorated by taichi kernel.
Example:
>>> @ti.kernel
>>> def bar_tmpl(a: ti.template()):
>>> x = a
>>> # or y = a
>>> # do something with `x` or `y`
>>>
>>> m = ti.aot.Module(arch)
>>> with m.add_kernel_template(bar_tmpl) as kt:
>>> kt.instantiate(a=x)
>>> kt.instantiate(a=y)
>>>
>>> @ti.kernel
>>> def bar_tmpl_multiple_args(a: ti.template(), b: ti.template())
>>> x = a
>>> y = b
>>> # do something with `x` and `y`
>>>
>>> with m.add_kernel_template(bar_tmpl) as kt:
>>> kt.instantiate(a=x, b=y)
- save(self, filepath, filename)#
- Parameters
filepath (str) – path to a folder to store aot files.
filename (str) – filename prefix for stored aot files.
- taichi.aot.start_recording(filename)#
- taichi.aot.stop_recording()#