Epoch 1/30
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
Cell In[71], line 2
1 # Entraîner le modèle sur l'ensemble d'entraînement
----> 2 model.fit(X_train, Y_train_categorical, batch_size=128, epochs=30)
4 # Évaluer les performances du modèle sur l'ensemble de test
5 score = model.evaluate(X_test, Y_test_categorical, batch_size=12)
File ~\anaconda3\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
File ~\anaconda3\lib\site-packages\tensorflow\python\eager\execute.py:54, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
52 try:
53 ctx.ensure_initialized()
---> 54 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
55 inputs, attrs, num_outputs)
56 except core._NotOkStatusException as e:
57 if name is not None:
InvalidArgumentError: Graph execution error:
Detected at node 'model_12/embedding_12/embedding_lookup' defined at (most recent call last):
File "C:\Users\achra\anaconda3\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\achra\anaconda3\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "C:\Users\achra\anaconda3\lib\site-packages\ipykernel_launcher.py", line 17, in <module>
app.launch_new_instance()
File "C:\Users\achra\anaconda3\lib\site-packages\traitlets\config\application.py", line 992, in launch_instance
app.start()
File "C:\Users\achra\anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 711, in start
self.io_loop.start()
File "C:\Users\achra\anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 199, in start
self.asyncio_loop.run_forever()
File "C:\Users\achra\anaconda3\lib\asyncio\base_events.py", line 603, in run_forever
self._run_once()
File "C:\Users\achra\anaconda3\lib\asyncio\base_events.py", line 1906, in _run_once
handle._run()
File "C:\Users\achra\anaconda3\lib\asyncio\events.py", line 80, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\achra\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 510, in dispatch_queue
await self.process_one()
File "C:\Users\achra\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 499, in process_one
await dispatch(*args)
File "C:\Users\achra\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 406, in dispatch_shell
await result
File "C:\Users\achra\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 729, in execute_request
reply_content = await reply_content
File "C:\Users\achra\anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 411, in do_execute
res = shell.run_cell(
File "C:\Users\achra\anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 531, in run_cell
return super().run_cell(*args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2961, in run_cell
result = self._run_cell(
File "C:\Users\achra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3016, in _run_cell
result = runner(coro)
File "C:\Users\achra\anaconda3\lib\site-packages\IPython\core\async_helpers.py", line 129, in _pseudo_sync_runner
coro.send(None)
File "C:\Users\achra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3221, in run_cell_async
has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
File "C:\Users\achra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3400, in run_ast_nodes
if await self.run_code(code, result, async_=asy):
File "C:\Users\achra\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3460, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "C:\Users\achra\AppData\Local\Temp\ipykernel_18948\1992395688.py", line 2, in <module>
model.fit(X_train, Y_train_categorical, batch_size=128, epochs=30, validation_split=0.1)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\training.py", line 1564, in fit
tmp_logs = self.train_function(iterator)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\training.py", line 1160, in train_function
return step_function(self, iterator)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\training.py", line 1146, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\training.py", line 1135, in run_step
outputs = model.train_step(data)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\training.py", line 993, in train_step
y_pred = self(x, training=True)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\training.py", line 557, in __call__
return super().__call__(*args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\base_layer.py", line 1097, in __call__
outputs = call_fn(inputs, *args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\utils\traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\functional.py", line 510, in call
return self._run_internal_graph(inputs, training=training, mask=mask)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\functional.py", line 667, in _run_internal_graph
outputs = node.layer(*args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\utils\traceback_utils.py", line 65, in error_handler
return fn(*args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\engine\base_layer.py", line 1097, in __call__
outputs = call_fn(inputs, *args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\utils\traceback_utils.py", line 96, in error_handler
return fn(*args, **kwargs)
File "C:\Users\achra\anaconda3\lib\site-packages\keras\layers\core\embedding.py", line 208, in call
out = tf.nn.embedding_lookup(self.embeddings, inputs)
Node: 'model_12/embedding_12/embedding_lookup'
indices[120,45,3] = -1 is not in [0, 1783)
[[{{node model_12/embedding_12/embedding_lookup}}]] [Op:__inference_train_function_85876]
Hi @Achraf_00, Welcome to the Tensorflow Forum!
Could you please provide the standalone code to reproduce the error. Thank You.