質問編集履歴
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エラーメッセージを全文掲載しました。
test
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test
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@@ -50,7 +50,89 @@
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```
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/func_graph.py in wrapper(*args, **kwargs)
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971 except Exception as e: # pylint:disable=broad-except
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972 if hasattr(e, "ag_error_metadata"):
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--> 973 raise e.ag_error_metadata.to_exception(e)
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974 else:
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975 raise
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ValueError: in user code:
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:806 train_function *
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return step_function(self, iterator)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:796 step_function **
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outputs = model.distribute_strategy.run(run_step, args=(data,))
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:1211 run
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return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2585 call_for_each_replica
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84
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return self._call_for_each_replica(fn, args, kwargs)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2945 _call_for_each_replica
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return fn(*args, **kwargs)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:789 run_step **
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outputs = model.train_step(data)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:749 train_step
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y, y_pred, sample_weight, regularization_losses=self.losses)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/compile_utils.py:204 __call__
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loss_value = loss_obj(y_t, y_p, sample_weight=sw)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/losses.py:149 __call__
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losses = ag_call(y_true, y_pred)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/losses.py:253 call **
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return ag_fn(y_true, y_pred, **self._fn_kwargs)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/dispatch.py:201 wrapper
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return target(*args, **kwargs)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/losses.py:1535 categorical_crossentropy
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return K.categorical_crossentropy(y_true, y_pred, from_logits=from_logits)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/dispatch.py:201 wrapper
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return target(*args, **kwargs)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/backend.py:4687 categorical_crossentropy
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target.shape.assert_is_compatible_with(output.shape)
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/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/tensor_shape.py:1134 assert_is_compatible_with
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raise ValueError("Shapes %s and %s are incompatible" % (self, other))
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ValueError: Shapes (None, 1) and (None, 10) are incompatible
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```
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