Hello, I’m getting this error when using model.fit . I tried checking the assignment multiple times and chekcing if my outputs match the required output everything seems to be right.
here is the error
InvalidArgumentError Traceback (most recent call last)
in ()
7 epochs = 100,
8 verbose = 1,
----> 9 callbacks=callbacks)
1 frames
/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
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_16/flatten_18/Reshape’ defined at (most recent call last):
File “/usr/lib/python3.7/runpy.py”, line 193, in _run_module_as_main
“main”, mod_spec)
File “/usr/lib/python3.7/runpy.py”, line 85, in _run_code
exec(code, run_globals)
File “/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py”, line 16, in
app.launch_new_instance()
File “/usr/local/lib/python3.7/dist-packages/traitlets/config/application.py”, line 846, in launch_instance
app.start()
File “/usr/local/lib/python3.7/dist-packages/ipykernel/kernelapp.py”, line 499, in start
self.io_loop.start()
File “/usr/local/lib/python3.7/dist-packages/tornado/platform/asyncio.py”, line 132, in start
self.asyncio_loop.run_forever()
File “/usr/lib/python3.7/asyncio/base_events.py”, line 541, in run_forever
self._run_once()
File “/usr/lib/python3.7/asyncio/base_events.py”, line 1786, in _run_once
handle._run()
File “/usr/lib/python3.7/asyncio/events.py”, line 88, in _run
self._context.run(self._callback, *self._args)
File “/usr/local/lib/python3.7/dist-packages/tornado/platform/asyncio.py”, line 122, in _handle_events
handler_func(fileobj, events)
File “/usr/local/lib/python3.7/dist-packages/tornado/stack_context.py”, line 300, in null_wrapper
return fn(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/zmq/eventloop/zmqstream.py”, line 577, in _handle_events
self._handle_recv()
File “/usr/local/lib/python3.7/dist-packages/zmq/eventloop/zmqstream.py”, line 606, in _handle_recv
self._run_callback(callback, msg)
File “/usr/local/lib/python3.7/dist-packages/zmq/eventloop/zmqstream.py”, line 556, in _run_callback
callback(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/tornado/stack_context.py”, line 300, in null_wrapper
return fn(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/ipykernel/kernelbase.py”, line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File “/usr/local/lib/python3.7/dist-packages/ipykernel/kernelbase.py”, line 233, in dispatch_shell
handler(stream, idents, msg)
File “/usr/local/lib/python3.7/dist-packages/ipykernel/kernelbase.py”, line 399, in execute_request
user_expressions, allow_stdin)
File “/usr/local/lib/python3.7/dist-packages/ipykernel/ipkernel.py”, line 208, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File “/usr/local/lib/python3.7/dist-packages/ipykernel/zmqshell.py”, line 537, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py”, line 2718, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File “/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py”, line 2822, in run_ast_nodes
if self.run_code(code, result):
File “/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py”, line 2882, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File “”, line 9, in
callbacks=callbacks)
File “/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py”, line 64, in error_handler
return fn(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/keras/engine/training.py”, line 1384, in fit
tmp_logs = self.train_function(iterator)
File “/usr/local/lib/python3.7/dist-packages/keras/engine/training.py”, line 1021, in train_function
return step_function(self, iterator)
File “/usr/local/lib/python3.7/dist-packages/keras/engine/training.py”, line 1010, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))
File “/usr/local/lib/python3.7/dist-packages/keras/engine/training.py”, line 1000, in run_step
outputs = model.train_step(data)
File “/usr/local/lib/python3.7/dist-packages/keras/engine/training.py”, line 859, in train_step
y_pred = self(x, training=True)
File “/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py”, line 64, in error_handler
return fn(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py”, line 1096, in call
outputs = call_fn(inputs, *args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py”, line 92, in error_handler
return fn(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/keras/engine/functional.py”, line 452, in call
inputs, training=training, mask=mask)
File “/usr/local/lib/python3.7/dist-packages/keras/engine/functional.py”, line 589, in _run_internal_graph
outputs = node.layer(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py”, line 64, in error_handler
return fn(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/keras/engine/base_layer.py”, line 1096, in call
outputs = call_fn(inputs, *args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py”, line 92, in error_handler
return fn(*args, **kwargs)
File “/usr/local/lib/python3.7/dist-packages/keras/layers/core/flatten.py”, line 96, in call
return tf.reshape(inputs, flattened_shape)
Node: ‘model_16/flatten_18/Reshape’
Input to reshape is a tensor with 7102464 values, but the requested shape requires a multiple of 37632
[[{{node model_16/flatten_18/Reshape}}]] [Op:__inference_train_function_88157]