質問編集履歴
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batch sizeが原因かと思い追記
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@@ -40,31 +40,31 @@
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Traceback (most recent call last):
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File "stock_ai.py", line 92, in <module>
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history = model.fit(
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\utils\traceback_utils.py", line 67, in error_handler
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raise e.with_traceback(filtered_tb) from None
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\framework\func_graph.py", line 1129, in autograph_handler
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raise e.ag_error_metadata.to_exception(e)
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tensorflow.python.framework.errors_impl.ResourceExhaustedError: in user code:
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\training.py", line 878, in train_function *
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return step_function(self, iterator)
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\training.py", line 867, in step_function **
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outputs = model.distribute_strategy.run(run_step, args=(data,))
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\training.py", line 860, in run_step **
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outputs = model.train_step(data)
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\engine\training.py", line 816, in train_step
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self.optimizer.minimize(loss, self.trainable_variables, tape=tape)
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\optimizer_v2\optimizer_v2.py", line 532, in minimize
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return self.apply_gradients(grads_and_vars, name=name)
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\optimizer_v2\optimizer_v2.py", line 639, in apply_gradients
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self._create_all_weights(var_list)
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\optimizer_v2\optimizer_v2.py", line 830, in _create_all_weights
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self._create_slots(var_list)
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\optimizer_v2\adam.py", line 119, in _create_slots
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self.add_slot(var, 'v')
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\optimizer_v2\optimizer_v2.py", line 916, in add_slot
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weight = tf.Variable(
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File "C:\Users\コンピュータ名\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\initializers\initializers_v2.py", line 144, in __call__
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return tf.zeros(shape, dtype)
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ResourceExhaustedError: OOM when allocating tensor with shape[346112,512] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:Fill]
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@@ -193,6 +193,7 @@
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同様のメッセージが出ているかの検索
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→ResourceExhaustedError の部分に問題を感じております。
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ソースコード内の変更がございましたらご教授いただきたいです。
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Batch sizeの変更方法もご教授いただきたいです。
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### 補足情報（FW/ツールのバージョンなど）
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Winows 11
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CUDA 11.5
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TensorFlow 2.7.0
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NVIDIA グラフィックスドライバー 497.09
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稚拙な文になり申し訳ないです。
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よろしくお願いいたします。
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