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Use //cuda and //!cuda to specify a docstring as embedded cuda, then the highlight will work. For example:
import pycuda.driver as drv
import pycuda.tools
import pycuda.autoinit
import numpy
import numpy.linalg as la
from pycuda.compiler import SourceModule
mod = SourceModule("""
//cuda
__global__ void multiply_them(float *dest, float *a, float *b)
{
const int i = threadIdx.x;
dest[i] = a[i] * b[i];
}
//!cuda
""")
multiply_them = mod.get_function("multiply_them")
a = numpy.random.randn(400).astype(numpy.float32)
b = numpy.random.randn(400).astype(numpy.float32)
dest = numpy.zeros_like(a)
multiply_them(
drv.Out(dest), drv.In(a), drv.In(b),
block=(400,1,1))
print(dest-a*b)
The text color can be customized by adding following configs to the user settings.json file (or default is the docstring color of python).
"editor.tokenColorCustomizations": {
"textMateRules": [
{
"scope": "meta.embedded.block.cuda-cpp",
"settings": {
"foreground": "#080644"
}
}
]
},Copyright (c) 2022, Yuyao Huang (huangyuyao at outlook dot com), currently a PhD candidate in Tongji University, Shanghai.