Documentation Index
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Classes
List
Internal
Instances of the List class are used to represent lists of values in TopK.
Usually created using data constructors such as f32_list(), i32_list(), etc.
SparseVector
Internal
Instances of the SparseVector class are used to represent sparse vectors in TopK.
Usually created using data constructors such as f32_sparse_vector() or u8_sparse_vector().
Matrix
Internal
Instances of the Matrix class are used to represent matrices in TopK.
Usually created using data constructors such as matrix().
Functions
f8_vector()
f8_vector(data: list[float]) -> List
Create a List type containing a 8-bit float vector.
Example:
from topk_sdk.data import f8_vector
f8_vector([0.12, 0.67, 0.82, 0.53])
Parameters
| Parameter | Type |
|---|
data | list[float] |
Returns
List
f16_vector()
f16_vector(data: list[float]) -> List
Create a List type containing a 16-bit float vector.
Example:
from topk_sdk.data import f16_vector
f16_vector([0.12, 0.67, 0.82, 0.53])
Parameters
| Parameter | Type |
|---|
data | list[float] |
Returns
List
f32_vector()
f32_vector(data: list[float]) -> List
Create a List type containing a 32-bit float vector. This function is an alias for f32_list().
Example:
from topk_sdk.data import f32_vector
f32_vector([0.12, 0.67, 0.82, 0.53])
Parameters
| Parameter | Type |
|---|
data | list[float] |
Returns
List
u8_vector()
u8_vector(data: list[int]) -> List
Create a List type containing an 8-bit unsigned integer vector. This function is an alias for u8_list().
Example:
from topk_sdk.data import u8_vector
u8_vector([0, 255, 1, 2, 3])
Parameters
| Parameter | Type |
|---|
data | list[int] |
Returns
List
i8_vector()
i8_vector(data: list[int]) -> List
Create a List type containing an 8-bit signed integer vector.
Example:
from topk_sdk.data import i8_vector
i8_vector([-128, 127, -1, 0, 1])
Parameters
| Parameter | Type |
|---|
data | list[int] |
Returns
List
binary_vector()
binary_vector(data: list[int]) -> List
Create a List type containing a binary vector.
Example:
from topk_sdk.data import binary_vector
binary_vector([0, 1, 1, 0])
Parameters
| Parameter | Type |
|---|
data | list[int] |
Returns
List
f32_sparse_vector()
f32_sparse_vector(data: dict[int, float]) -> SparseVector
Create a SparseVector type containing a 32-bit float sparse vector.
Example:
from topk_sdk.data import f32_sparse_vector
f32_sparse_vector({0: 0.12, 6: 0.67, 17: 0.82, 97: 0.53})
Parameters
| Parameter | Type |
|---|
data | dict[int, float] |
Returns
SparseVector
u8_sparse_vector()
u8_sparse_vector(data: dict[int, int]) -> SparseVector
Create a SparseVector type containing an 8-bit unsigned integer sparse vector.
Example:
from topk_sdk.data import u8_sparse_vector
u8_sparse_vector({0: 12, 6: 67, 17: 82, 97: 53})
Parameters
| Parameter | Type |
|---|
data | dict[int, int] |
Returns
SparseVector
bytes()
bytes(data: list[int] | bytes) -> List
Create a List type containing bytes data.
Example:
from topk_sdk.data import bytes
bytes([0, 1, 1, 0])
Parameters
| Parameter | Type |
|---|
data | list[int] | bytes |
Returns
List
u32_list()
u32_list(data: list[int]) -> List
Create a List type containing a list of 32-bit unsigned integers.
Example:
from topk_sdk.data import u32_list
u32_list([0, 1, 2, 3])
Parameters
| Parameter | Type |
|---|
data | list[int] |
Returns
List
i32_list()
i32_list(data: list[int]) -> List
Create a List type containing a list of 32-bit signed integers.
Example:
from topk_sdk.data import i32_list
i32_list([0, 1, 2, 3])
Parameters
| Parameter | Type |
|---|
data | list[int] |
Returns
List
i64_list()
i64_list(data: list[int]) -> List
Create a List type containing a list of 64-bit signed integers.
Example:
from topk_sdk.data import i64_list
i64_list([0, 1, 2, 3])
Parameters
| Parameter | Type |
|---|
data | list[int] |
Returns
List
f32_list()
f32_list(data: list[float]) -> List
Create a List type containing a list of 32-bit floating point numbers.
Example:
from topk_sdk.data import f32_list
f32_list([0.12, 0.67, 0.82, 0.53])
Parameters
| Parameter | Type |
|---|
data | list[float] |
Returns
List
f64_list()
f64_list(data: list[float]) -> List
Create a List type containing a list of 64-bit floating point numbers.
Example:
from topk_sdk.data import f64_list
f64_list([0.12, 0.67, 0.82, 0.53])
Parameters
| Parameter | Type |
|---|
data | list[float] |
Returns
List
string_list()
string_list(data: list[str]) -> List
Create a List type containing a list of strings.
Example:
from topk_sdk.data import string_list
string_list(["foo", "bar", "baz"])
Parameters
| Parameter | Type |
|---|
data | list[str] |
Returns
List
matrix()
matrix(values: list[list[float]] | list[list[int]] | numpy.ndarray, value_type: Optional[Literal['f32', 'f16', 'f8', 'u8', 'i8']] = None) -> Matrix
Create a Matrix type containing matrix values.
The values parameter can be a list of lists or a numpy array. When passing a numpy array,
the matrix type is inferred from the array’s dtype (float32, float16, uint8, int8).
When passing a list of lists, the optional value_type parameter specifies the matrix type.
If value_type is not provided, the matrix defaults to f32.
from topk_sdk.data import matrix
import numpy as np
# List of lists with explicit type
matrix([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], "f32")
# List of lists defaults to f32
matrix([[1.0, 2.0], [3.0, 4.0]])
# Numpy array infers type from dtype
matrix(np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float16))
Parameters
| Parameter | Type |
|---|
values | list[list[float]] | list[list[int]] | numpy.ndarray |
value_type | Optional[Literal[‘f32’, ‘f16’, ‘f8’, ‘u8’, ‘i8’]] |
Returns
Matrix