---------------------------------------------------------------------------
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]
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