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{ | |
"aot_data": { | |
"kernels": { | |
"0": { | |
"program": { | |
"kernels": { | |
"0": { | |
"kernel_name" : "init_c40_00", | |
"kernel_src" : ".//taichi_example.tcb_init_c40_00.glsl", |
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// Test Code | |
import taichi as ti | |
ti.init(arch=ti.vulkan,log_level=ti.TRACE) | |
def test_snode_read_write(): | |
dtype = ti.f16 | |
x = ti.field(dtype, shape=()) | |
x[None] = 0.3 | |
print(x[None]) |
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import taichi as ti | |
from types import ModuleType, FunctionType | |
import inspect | |
import pdb | |
import csv | |
# FIXME: Without this init some calls will fail | |
ti.init() | |
def has_doc_string(x): |
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import os, json | |
import taichi as ti | |
ti.init(arch=ti.opengl, allow_nv_shader_extension=False, use_gles=True, ndarray_use_torch=False) | |
dim = 2 | |
N = 64 | |
n_particles = N * N * 2 | |
n_grid = 128 | |
p_rho = 1 | |
bound = 3 | |
E = 400 |
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import paddle | |
Python 3.8.11 (default, Aug 3 2021, 15:09:35) | |
Type 'copyright', 'credits' or 'license' for more information | |
IPython 7.26.0 -- An enhanced Interactive Python. Type '?' for help. | |
In [1]: import paddle | |
In [2]: import numpy as np | |
In [4]: x = paddle.to_tensor(2 * np.ones((4, ), dtype=np.flo | |
...: at32)) |
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import taichi as ti | |
ti.init() | |
# you must make sure the func body here works both in python and taichi scope. | |
def f(): | |
a = 0 | |
for i in range(10): | |
a += i | |
print(a) |
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import taichi as ti | |
ti.init(ti.vulkan) | |
tp_ivec3 = ti.types.vector(3, ti.i32) | |
tp_ivec2 = ti.types.vector(2, ti.i32) | |
tp_vec3 = ti.types.vector(3, ti.f32) | |
x = ti.ndarray(ti.f32, shape=(12, 13)) | |
y = ti.ndarray(tp_ivec3, shape=(12,4)) |
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