Type system

Supported types

Currently, supported basic types in Taichi are

  • int8 ti.i8
  • int16 ti.i16
  • int32 ti.i32
  • int64 ti.i64
  • uint8 ti.u8
  • uint16 ti.u16
  • uint32 ti.u32
  • uint64 ti.u64
  • float32 ti.f32
  • float64 ti.f64


Supported types on each backend:

type CPU/CUDA OpenGL Metal
i8 OK N/A OK
i16 OK N/A OK
i32 OK OK OK
i64 OK EXT N/A
u8 OK N/A OK
u16 OK N/A OK
u32 OK N/A OK
u64 OK N/A N/A
f32 OK OK OK
f64 OK OK N/A

(OK: supported, EXT: require extension, N/A: not available)

Boolean types should be represented using ti.i32.

Binary operations on different types will give you a promoted type, following the C programming language, e.g.

  • i32 + f32 = f32
  • f32 + f64 = f64
  • i32 + i64 = i64

Default precisions

By default, numerical literals have 32-bit precisions. For example, 42 has type ti.i32 and 3.14 has type ti.f32. Default integer and float-point precisions (default_ip and default_fp) can be specified when initializing Taichi:

ti.init(..., default_fp=ti.f32)
ti.init(..., default_fp=ti.f64)

ti.init(..., default_ip=ti.i32)
ti.init(..., default_ip=ti.i64)

Type casts

Use ti.cast to cast scalar values.

a = 1.4
b = ti.cast(a, ti.i32)
c = ti.cast(b, ti.f32)

# Equivalently, use ``int()`` and ``float()``
# to convert values to default float-point/integer types
b = int(a)
c = float(b)

# Element-wise casts in matrices
mat = ti.Matrix([[3.0, 0.0], [0.3, 0.1]])
mat_int = mat.cast(int)
mat_int2 = mat.cast(ti.i32)

Use ti.bit_cast to bit-cast a value into another data type. The underlying bits will be preserved in this cast. The new type must have the same width as the the old type. For example, bit-casting i32 to f64 is not allowed. Use this operation with caution.