Vector Addition¶

In this example, we will show you how to write a program that adds two float32 vectors in hidet script.

import hidet
from hidet.lang import attrs
from hidet.lang.types import f32

hidet.option.cache_dir('./outs/cache')

In the script function, we annotate the data type of parameter a, b, and c as f32[3], which means a 3-element vector of 32-bit floating point numbers. In general, we can use dtype[shape] to define a tensor with given shape and data type. For example, f32[3, 4] is a 3x4 float32 matrix, and int32[3, 4, 5] is a 3x4x5 int32 tensor.

We can use for i in range(extent) to iterate over a range, where extent is the extent of the loop.

with hidet.script_module() as script_module:

    @hidet.script
    def launch(a: f32[3], b: f32[3], c: f32[3]):
        attrs.func_kind = 'public'

        for i in range(10):
            c[i] = a[i] + b[i]


module = script_module.build()

Create the input and output tensors (on cpu, with f32 data type by default):

a = hidet.randn([3])
b = hidet.randn([3])
c = hidet.empty([3])

Call the compiled module with the input and output tensors

module(a, b, c)
print(a)
print(b)
print(c)

Tensor(shape=(3,), dtype='float32', device='cpu')
[ 0.29  1.58 -0.26]
Tensor(shape=(3,), dtype='float32', device='cpu')
[ 1.68 -0.77  1.23]
Tensor(shape=(3,), dtype='float32', device='cpu')
[1.97 0.81 0.97]

Total running time of the script: (0 minutes 0.003 seconds)

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