TensorKit

0.1.0 verified Mon Apr 27 auth: no python

TensorKit is a deep learning helper bridging Python and C++. Version 0.1.0, early development stage with no stable release cadence.

pip install tk

Common errors

error ModuleNotFoundError: No module named 'tk' ↓

cause The package is not installed or the name 'tk' conflicts with tkinter.

fix

Run 'pip install tk' and ensure you are not importing tkinter as 'tk' first.

error ImportError: cannot import name 'Tensor' from 'tk' ↓

cause The API may have changed; check the installed version.

fix

Inspect the module: dir(tk) to see available classes.

gotcha The package name 'tk' conflicts with Python's built-in 'tkinter' module (often imported as 'tk'). Be careful with namespace collisions. ↓

fix Use an alias: import tk as tensorflow_kit

breaking TensorKit is in early alpha; API breaking changes are expected. There is no stable release. ↓

fix Pin version strictly: tk==0.1.0 in requirements.

deprecated No known deprecations yet, but the library is very new. ↓

fix Monitor GitHub for updates.

TensorKit
wrong
```
from tk import TensorKit
```
correct
```
import tk
```
The package imports as 'tk', not 'TensorKit'.

Create a TensorKit tensor from a numpy array.

import tk
import numpy as np

tensor = tk.Tensor(np.array([1, 2, 3]))
print(tensor)