taichi.types.compound_types#

taichi.types.compound_types.argpack(**kwargs)#

Creates an argument pack type with given members.

Parameters:

kwargs (dict) – a dictionary contains the names and types of the argument pack members.

Returns:

A argument pack type.

Example:

>>> vec3 = ti.types.vector(3, ti.f32)
>>> sphere = ti.types.argpack(center=vec3, radius=float)
>>> s = sphere(center=vec3([0., 0., 0.]), radius=1.0)

taichi.types.compound_types.matrix(n=None, m=None, dtype=None)#

Creates a matrix type with given shape and data type.

Parameters:

• n (int) – number of rows of the matrix.

• m (int) – number of columns of the matrix.

• dtype (primitive_types) – matrix data type.

Returns:

A matrix type.

Example:

>>> mat2x2 = ti.types.matrix(2, 2, ti.f32)  # 2x2 matrix type
>>> M = mat2x2([[1., 2.], [3., 4.]])  # an instance of this type

taichi.types.compound_types.struct(**kwargs)#

Creates a struct type with given members.

Parameters:

kwargs (dict) – a dictionary contains the names and types of the struct members.

Returns:

A struct type.

Example:

>>> vec3 = ti.types.vector(3, ti.f32)
>>> sphere = ti.types.struct(center=vec3, radius=float)
>>> s = sphere(center=vec3([0., 0., 0.]), radius=1.0)

taichi.types.compound_types.vector(n=None, dtype=None)#

Creates a vector type with given shape and data type.

Parameters:

• n (int) – dimension of the vector.

• dtype (primitive_types) – vector data type.

Returns:

A vector type.

Example:

>>> vec3 = ti.types.vector(3, ti.f32)  # 3d vector type
>>> v = vec3([1., 2., 3.])  # an instance of this type