Inconsistance tensor shape led to code can't execute properly 
Hi **@xsmilingtoast** ,

Could you provide a proper link. You already provide one link but it is not opening. In order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue reported here.
And here you are using the old version, Try to update your version.

Thank you! This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/62681">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/62681">No</a>

### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

binary

### TensorFlow version

2.10.0

### Custom code

No

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

3.10.9

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

The code led to inconsistance tensor shape addition and can't run properly ,please help 

### Standalone code to reproduce the issue

```shell
code in jupyter notebook 
file:///G:/Google%20Download/AMD%20bigram.html
```


### Relevant log output

```shell
ValueError                                Traceback (most recent call last)
Cell In[171], line 138
    134     model_on_device = model
    137 context = tf.zeros(shape = (1,1) , dtype = tf.int64 ) 
--> 138 generated_chars = decode(model.generate(context , max_new_tokens=500)[0].numpy().tolist())
    139 print(generated_chars)

Cell In[171], line 121, in BigramLanguageModel.generate(self, index, max_new_tokens)
    118 def generate(self ,index ,max_new_tokens):
    120     for _ in range(max_new_tokens):    
--> 121         logits , loss  = self.call(index)
    123         logits = logits[ : , -1 , : ]
    125         probs = tf.nn.softmax(logits , axis=-1)

Cell In[171], line 103, in BigramLanguageModel.call(self, index, targets)
    101 pos_emb = self.position_embedding_table(tf.range(T , dtype=tf.float32)) 
    102 x = tok_emb + pos_emb
--> 103 x = self.blocks(x) #decoder cycle 
    104 x = self.ln_f(x) #normalize
    105 logits = self.lm_head(x) #linear transform

File E:\AMD venv for gpt\tensorflow\lib\site-packages\keras\utils\traceback_utils.py:70, in filter_traceback.<locals>.error_handler(*args, **kwargs)
     67     filtered_tb = _process_traceback_frames(e.__traceback__)
     68     # To get the full stack trace, call:
     69     # `tf.debugging.disable_traceback_filtering()`
---> 70     raise e.with_traceback(filtered_tb) from None
     71 finally:
     72     del filtered_tb

Cell In[171], line 70, in Block.call(self, x, training)
     68 y = self.sa(x)
     69 x = self.ln1(x + y)
---> 70 y = self.ffwd(x)
     71 x = self.ln2(x + y)
     72 return x

Cell In[171], line 55, in FeedForward.call(self, x)
     53 def call(self , x):
     54     ffwd_output = self.net(x)
---> 55     return self.net(ffwd_output)

ValueError: Exception encountered when calling layer "sequential_449" "                 f"(type Sequential).

Input 0 of layer "dense_5747" is incompatible with the layer: expected axis -1 of input shape to have value 2688, but received input with shape (1, 1536)

Call arguments received by layer "sequential_449" "                 f"(type Sequential):
  • inputs=tf.Tensor(shape=(1, 1536), dtype=float32)
  • training=True
  • mask=None
```
