Web DL Compiler
Project description
What will we need to do?
Implement the major layers in pytorch:
- Linear
- Conv2D
- FC
- ReLU
- Pool
- RNN
- LSTM
- Batch Norm ... etc
-
Support
nn.Sequential -
Support hugging face models
-
Support saved model.
-
Optimization Phase:
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
wdlc-0.9.1.tar.gz
(17.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
wdlc-0.9.1-py3-none-any.whl
(18.4 kB
view details)
File details
Details for the file wdlc-0.9.1.tar.gz.
File metadata
- Download URL: wdlc-0.9.1.tar.gz
- Upload date:
- Size: 17.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d6c05044fc0c1a05e7b8c60fcee9c3989809fca773450478f4dd9c593aef3d5a
|
|
| MD5 |
6f5c63124415a3bbbc3c5c76fc19cb17
|
|
| BLAKE2b-256 |
0563475d8d38d2dc0279bd72c59ed8b12ea67ce8df1b40f1534a85bd2743d475
|
File details
Details for the file wdlc-0.9.1-py3-none-any.whl.
File metadata
- Download URL: wdlc-0.9.1-py3-none-any.whl
- Upload date:
- Size: 18.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1f6b04f8a876d589341f265971129d6442794b8dcfd8151566f4ec10709ffc92
|
|
| MD5 |
258982e01d6f08e6d07563d47e33c5ae
|
|
| BLAKE2b-256 |
316b6d5ac34412fea39c952f9ee47aa1e79d30ed0a8d3db0ba21f0a7e75e82b9
|
