When I am trying to fit the model I get the following error:
Epoch 1/100
1/Unknown - 0s 267ms/step - loss: 2417.0706
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
<ipython-input-32-48a0525df760> in <module>
6
7 # Train it
----> 8 model.fit(dataset, epochs=100)
/opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py in error_handler(*args, **kwargs)
65 except Exception as e: # pylint: disable=broad-except
66 filtered_tb = _process_traceback_frames(e.__traceback__)
---> 67 raise e.with_traceback(filtered_tb) from None
68 finally:
69 del filtered_tb
/opt/conda/lib/python3.8/site-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
56 try:
57 ctx.ensure_initialized()
---> 58 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
59 inputs, attrs, num_outputs)
60 except core._NotOkStatusException as e:
InvalidArgumentError: Cannot add tensor to the batch: number of elements does not match. Shapes are: [tensor]: [17], [batch]: [20]
[[node IteratorGetNext
(defined at /opt/conda/lib/python3.8/site-packages/keras/engine/training.py:866)
]] [Op:__inference_train_function_6241]
Errors may have originated from an input operation.
Input Source operations connected to node IteratorGetNext:
In[0] iterator (defined at /opt/conda/lib/python3.8/site-packages/keras/engine/training.py:1216)
Operation defined at: (most recent call last)
>>> File "/opt/conda/lib/python3.8/runpy.py", line 194, in _run_module_as_main
>>> return _run_code(code, main_globals, None,
>>>
>>> File "/opt/conda/lib/python3.8/runpy.py", line 87, in _run_code
>>> exec(code, run_globals)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/ipykernel_launcher.py", line 16, in <module>
>>> app.launch_new_instance()
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/traitlets/config/application.py", line 845, in launch_instance
>>> app.start()
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/ipykernel/kernelapp.py", line 612, in start
>>> self.io_loop.start()
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/tornado/platform/asyncio.py", line 199, in start
>>> self.asyncio_loop.run_forever()
>>>
>>> File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 570, in run_forever
>>> self._run_once()
>>>
>>> File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 1859, in _run_once
>>> handle._run()
>>>
>>> File "/opt/conda/lib/python3.8/asyncio/events.py", line 81, in _run
>>> self._context.run(self._callback, *self._args)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/tornado/ioloop.py", line 688, in <lambda>
>>> lambda f: self._run_callback(functools.partial(callback, future))
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/tornado/ioloop.py", line 741, in _run_callback
>>> ret = callback()
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/tornado/gen.py", line 814, in inner
>>> self.ctx_run(self.run)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/tornado/gen.py", line 775, in run
>>> yielded = self.gen.send(value)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/ipykernel/kernelbase.py", line 358, in process_one
>>> yield gen.maybe_future(dispatch(*args))
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/tornado/gen.py", line 234, in wrapper
>>> yielded = ctx_run(next, result)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/ipykernel/kernelbase.py", line 261, in dispatch_shell
>>> yield gen.maybe_future(handler(stream, idents, msg))
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/tornado/gen.py", line 234, in wrapper
>>> yielded = ctx_run(next, result)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/ipykernel/kernelbase.py", line 536, in execute_request
>>> self.do_execute(
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/tornado/gen.py", line 234, in wrapper
>>> yielded = ctx_run(next, result)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/ipykernel/ipkernel.py", line 302, in do_execute
>>> res = shell.run_cell(code, store_history=store_history, silent=silent)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/ipykernel/zmqshell.py", line 539, in run_cell
>>> return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 2894, in run_cell
>>> result = self._run_cell(
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 2940, in _run_cell
>>> return runner(coro)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/IPython/core/async_helpers.py", line 68, in _pseudo_sync_runner
>>> coro.send(None)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 3165, in run_cell_async
>>> has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 3357, in run_ast_nodes
>>> if (await self.run_code(code, result, async_=asy)):
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 3437, in run_code
>>> exec(code_obj, self.user_global_ns, self.user_ns)
>>>
>>> File "<ipython-input-32-48a0525df760>", line 8, in <module>
>>> model.fit(dataset, epochs=100)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 64, in error_handler
>>> return fn(*args, **kwargs)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/keras/engine/training.py", line 1216, in fit
>>> tmp_logs = self.train_function(iterator)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/keras/engine/training.py", line 878, in train_function
>>> return step_function(self, iterator)
>>>
>>> File "/opt/conda/lib/python3.8/site-packages/keras/engine/training.py", line 866, in step_function
>>> data = next(iterator)
>>>
I am not sure why am I getting it. I tried tweaking the number in dense layers, still gives the same error.