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manu12121999 · Dec 9, 2024 · a97aacc · a97aacc
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diff --git a/README.md b/README.md
@@ -1,5 +1,7 @@
 # Ctrl_C_NN
-Dependency-free neural network inference framework in a single file
+Dependency-free neural network inference framework in a single file.
+
+CURRENTLY IN DEVELOPMENT: NOT IN A USABLE STATE YET
 
 ## What is it for
 Inference with simple neural networks where installing dependencies is not possible. This project is and will be dependency-free and has the most open open-source license. Whatever you need it for, just copy the single .py file into your project, and you can run an already-trained neural network. 
@@ -8,20 +10,20 @@ Inference with simple neural networks where installing dependencies is not possi
 Since it is written 100% in Python, its performance is terrible compared to PyTorch or numpy-based frameworks. It's not designed for the training of neural networks but to load and run simple Pytorch neural networks.
 
 ## WIP
-| Description                              | Status                 |
-|------------------------------------------|------------------------|
-| Base Tensor class                        | :white_check_mark:     |
-| Tensor operations (+, *, @)              | :white_check_mark:     |
-| Tensor Broadcasting                      | :white_check_mark:     |
-| Tensor Shape Manipulation (e.g. reshape) | :white_check_mark:     |
-| Simple Layers and Non-linearities        | :white_check_mark:     |
-| Forward pass of simple NN                | :large_orange_diamond: |
-| Backward pass of simple NN               | :large_orange_diamond: |
-| Convolutional Layers                     | :x:                    |
-| Reading pth files                        | :x:                    |
-| Basic Image I/O                          | :x:                    |
-| ...                                      | :x:                    |
-| ...                                      | :x:                    |
+| Description                              | Status                     |
+|------------------------------------------|----------------------------|
+| Base Tensor class                        | :white_check_mark:         |
+| Tensor operations (+, *, @)              | :white_check_mark:         |
+| Tensor Broadcasting                      | :white_check_mark:         |
+| Tensor Shape Manipulation (e.g. reshape) | :white_check_mark:         |
+| Simple Layers and Non-linearities        | :white_check_mark:         |
+| Forward pass of simple NN                | :large_orange_diamond: WIP |
+| Backward pass of simple NN               | :large_orange_diamond: WIP |
+| Convolutional Layers                     | :x:                        |
+| Reading pth files                        | :x:                        |
+| Basic Image I/O                          | :x:                        |
+| ...                                      | :x:                        |
+| ...                                      | :x:                        |
 
 
 ## Sample Usage Tensor

diff --git a/ctrl_c_nn.py b/ctrl_c_nn.py
@@ -1,9 +1,14 @@
+__author__ = "Manuel Vogel"
+__version__ = "0.0.1"
+__website__ = "https://github.com/manu12121999/ctrl_c_nn"
+__original_source__ = "https://github.com/manu12121999/ctrl_c_nn/blob/main/ctrl_c_nn.py"
+__email__ = "manu12121999@gmail.com"
+
 import random
 import sys
 import math
 import operator
 from multiprocessing import Pool
-import itertools
 
 sumprod = math.sumprod if sys.version_info >= (3, 12) else lambda p, q: sum([p_i*q_i for p_i, q_i in zip(p, q)])