————————————————————————— InvalidArgumentError Traceback (most recent call last) Cell In[227], line 48 45 model.compile(optimizer=’adam’, loss=’sparse_categorical_crossentropy’, metrics=[‘accuracy’]) 47 # モデルのトレーニング —> 48 model.fit(X_train, y_train, epochs=10, batch_size=32, validation_data=(X_test, y_test)) 50 # モデルの評価 51 loss, accuracy = model.evaluate(X_test, y_test) File /home/share/temp/venv/lib/python3.8/site-packages/keras/src/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 /home/share/temp/venv/lib/python3.8/site-packages/tensorflow/python/eager/execute.py:53, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name) 51 try: 52 ctx.ensure_initialized() —> 53 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, 54 inputs, attrs, num_outputs) 55 except core._NotOkStatusException as e: 56 if name is not None: InvalidArgumentError: Graph execution error: Detected at node ‘sparse_categorical_crossentropy/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits’ defined at (most recent call last): File “/usr/lib/python3.8/runpy.py”, line 194, in _run_module_as_main return _run_code(code, main_globals, None, File “/usr/lib/python3.8/runpy.py”, line 87, in _run_code exec(code, run_globals) File “/home/share/temp/venv/lib/python3.8/site-packages/ipykernel_launcher.py”, line 18, in <module> app.launch_new_instance() File “/home/share/temp/venv/lib/python3.8/site-packages/traitlets/config/application.py”, line 1075, in launch_instance app.start() File “/home/share/temp/venv/lib/python3.8/site-packages/ipykernel/kernelapp.py”, line 739, in start self.io_loop.start() File “/home/share/temp/venv/lib/python3.8/site-packages/tornado/platform/asyncio.py”, line 205, in start self.asyncio_loop.run_forever() File “/usr/lib/python3.8/asyncio/base_events.py”, line 570, in run_forever self._run_once() File “/usr/lib/python3.8/asyncio/base_events.py”, line 1859, in _run_once handle._run() File “/usr/lib/python3.8/asyncio/events.py”, line 81, in _run self._context.run(self._callback, *self._args) File “/home/share/temp/venv/lib/python3.8/site-packages/ipykernel/kernelbase.py”, line 542, in dispatch_queue await self.process_one() File “/home/share/temp/venv/lib/python3.8/site-packages/ipykernel/kernelbase.py”, line 531, in process_one await dispatch(*args) File “/home/share/temp/venv/lib/python3.8/site-packages/ipykernel/kernelbase.py”, line 437, in dispatch_shell await result File “/home/share/temp/venv/lib/python3.8/site-packages/ipykernel/ipkernel.py”, line 359, in execute_request await super().execute_request(stream, ident, parent) File “/home/share/temp/venv/lib/python3.8/site-packages/ipykernel/kernelbase.py”, line 775, in execute_request reply_content = await reply_content File “/home/share/temp/venv/lib/python3.8/site-packages/ipykernel/ipkernel.py”, line 446, in do_execute res = shell.run_cell( File “/home/share/temp/venv/lib/python3.8/site-packages/ipykernel/zmqshell.py”, line 549, in run_cell return super().run_cell(*args, **kwargs) File “/home/share/temp/venv/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 3009, in run_cell result = self._run_cell( File “/home/share/temp/venv/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 3064, in _run_cell result = runner(coro) File “/home/share/temp/venv/lib/python3.8/site-packages/IPython/core/async_helpers.py”, line 129, in _pseudo_sync_runner coro.send(None) File “/home/share/temp/venv/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 3269, in run_cell_async has_raised = await self.run_ast_nodes(code_ast.body, cell_name, File “/home/share/temp/venv/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 3448, in run_ast_nodes if await self.run_code(code, result, async_=asy): File “/home/share/temp/venv/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 3508, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File “/tmp/ipykernel_11711/3802099017.py”, line 48, in <module> model.fit(X_train, y_train, epochs=10, batch_size=32, validation_data=(X_test, y_test)) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/utils/traceback_utils.py”, line 65, in error_handler return fn(*args, **kwargs) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/engine/training.py”, line 1742, in fit tmp_logs = self.train_function(iterator) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/engine/training.py”, line 1338, in train_function return step_function(self, iterator) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/engine/training.py”, line 1322, in step_function outputs = model.distribute_strategy.run(run_step, args=(data,)) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/engine/training.py”, line 1303, in run_step outputs = model.train_step(data) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/engine/training.py”, line 1081, in train_step loss = self.compute_loss(x, y, y_pred, sample_weight) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/engine/training.py”, line 1139, in compute_loss return self.compiled_loss( File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/engine/compile_utils.py”, line 265, in __call__ loss_value = loss_obj(y_t, y_p, sample_weight=sw) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/losses.py”, line 142, in __call__ losses = call_fn(y_true, y_pred) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/losses.py”, line 268, in call return ag_fn(y_true, y_pred, **self._fn_kwargs) File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/losses.py”, line 2354, in sparse_categorical_crossentropy return backend.sparse_categorical_crossentropy( File “/home/share/temp/venv/lib/python3.8/site-packages/keras/src/backend.py”, line 5762, in sparse_categorical_crossentropy res = tf.nn.sparse_softmax_cross_entropy_with_logits( Node: ‘sparse_categorical_crossentropy/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits’ Received a label value of 140 which is outside the valid range of [0, 6). Label values: 60 60 60 60 80 60 100 60 60 100 100 60 120 60 120 100 80 140 80 140 140 60 120 120 100 60 80 100 100 60 60 140 [[{{node sparse_categorical_crossentropy/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits}}]] [Op:__inference_train_function_164524]