Add the dependencies

example/language_model/language-model.py

@@ -2,7 +2,7 @@
 import torch.nn.functional as F
 import matplotlib.pyplot as plt
 
-# How much tokens to keep as context when making the prediction for the next one
+# Number of tokens to keep as context when making the prediction for the next one
 CONTEXT_SIZE = 3
 # Size of the vector to represent a single token
 EMBEDDING_SIZE = 10

gigatorch/nn.py

@@ -58,7 +58,6 @@ def __call__(self, x):
     def calc_loss(self, ys, y_pred):
         # Convertin y_pred to probabilities
         prob = [self.prob_fn(i, y_pred) for i in y_pred]
-        print("Prob", prob)
         loss = sum(self.loss_fn(ys, y_pred), Tensor(0))
         loss.backprop()
         return loss.data

requirements.txt

@@ -1,21 +1,55 @@
+appnope==0.1.4
+asttokens==2.4.1
 black==24.2.0
 click==8.1.7
+comm==0.2.2
+contourpy==1.2.0
+cycler==0.12.1
+debugpy==1.8.1
+decorator==5.1.1
+executing==2.0.1
 filelock==3.13.1
+fonttools==4.49.0
 fsspec==2024.2.0
 iniconfig==2.0.0
+ipykernel==6.29.3
+ipython==8.22.2
+jedi==0.19.1
 Jinja2==3.1.3
+jupyter_client==8.6.1
+jupyter_core==5.7.2
+kiwisolver==1.4.5
 MarkupSafe==2.1.5
+matplotlib==3.8.3
+matplotlib-inline==0.1.6
 mpmath==1.3.0
 mypy-extensions==1.0.0
+nest-asyncio==1.6.0
 networkx==3.2.1
 numpy==1.26.4
 packaging==23.2
+parso==0.8.3
 pathspec==0.12.1
+pexpect==4.9.0
 pillow==10.2.0
 platformdirs==4.2.0
 pluggy==1.4.0
+prompt-toolkit==3.0.43
+psutil==5.9.8
+ptyprocess==0.7.0
+pure-eval==0.2.2
+Pygments==2.17.2
+pyparsing==3.1.2
 pytest==8.0.2
+python-dateutil==2.9.0.post0
+pyzmq==25.1.2
 setuptools-black==0.1.5
+six==1.16.0
+stack-data==0.6.3
 sympy==1.12
 torch==2.2.1
+torchvision==0.17.1
+tornado==6.4
+traitlets==5.14.2
 typing_extensions==4.10.0
+wcwidth==0.2.13