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[Doc] Update type.md #7038

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Jan 6, 2023
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[Doc] Update type.md #7038

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14 changes: 0 additions & 14 deletions docs/lang/articles/type_system/type.md
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Expand Up @@ -213,20 +213,6 @@ def test():
print(length(v))
```

In practical terms, `ti.types.matrix` only would suffice your need for vector/matrix customization because Taichi treats vectors as a special kind of matrices, i.e., matrices with one column.

In fact, calling `ti.types.vector()` produces a matrix type of a single column:

```
vec3 = ti.types.vector(3, float) # Equivalent to vec3 = ti.types.matrix(3, 1, float)
```

Similarly, `ti.Vector()` simply converts the input into a matrix of a single column:

```python
v = ti.Vector([1, 1, 1]) # equivalent to v = ti.Matrix([[1], [1], [1]])
```


### Struct types and dataclass

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