質問編集履歴
1
カーネルの再起動、input_shapeの変更を行いましたが、エラーは取れませんでした
title
CHANGED
|
File without changes
|
body
CHANGED
|
@@ -13,31 +13,11 @@
|
|
|
13
13
|
### 発生している問題・エラーメッセージ
|
|
14
14
|
|
|
15
15
|
```
|
|
16
|
+
もともと出ていたエラー
|
|
16
17
|
ValueError Traceback (most recent call last)
|
|
17
18
|
<ipython-input-66-94ca9aad4ee1> in <module>
|
|
18
19
|
----> 1 history = model.fit(X_train, Y_train, batch_size = batch_size, epochs = epochs)
|
|
19
|
-
|
|
20
|
-
D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\keras\engine\training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, max_queue_size, workers, use_multiprocessing, **kwargs)
|
|
21
|
-
1534 steps_name='steps_per_epoch',
|
|
22
|
-
1535 steps=steps_per_epoch,
|
|
23
|
-
-> 1536 validation_split=validation_split)
|
|
24
|
-
1537
|
|
25
|
-
1538 # Prepare validation data.
|
|
26
|
-
|
|
27
|
-
D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\keras\engine\training.py in _standardize_user_data(self, x, y, sample_weight, class_weight, batch_size, check_steps, steps_name, steps, validation_split)
|
|
28
|
-
990 x, y, sample_weight = next_element
|
|
29
|
-
991 x, y, sample_weights = self._standardize_weights(x, y, sample_weight,
|
|
30
|
-
--> 992 class_weight, batch_size)
|
|
31
|
-
993 return x, y, sample_weights
|
|
32
|
-
994
|
|
33
|
-
|
|
34
|
-
D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\keras\engine\training.py in _standardize_weights(self, x, y, sample_weight, class_weight, batch_size)
|
|
35
|
-
1152 feed_output_shapes,
|
|
36
|
-
1153 check_batch_axis=False, # Don't enforce the batch size.
|
|
37
|
-
-> 1154 exception_prefix='target')
|
|
38
|
-
1155
|
|
39
|
-
1156 # Generate sample-wise weight values given the `sample_weight` and
|
|
40
|
-
|
|
20
|
+
～略～
|
|
41
21
|
D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\keras\engine\training_utils.py in standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix)
|
|
42
22
|
321 ': expected ' + names[i] + ' to have ' +
|
|
43
23
|
322 str(len(shape)) + ' dimensions, but got array '
|
|
@@ -47,7 +27,29 @@
|
|
|
47
27
|
|
|
48
28
|
ValueError: Error when checking target: expected activation_5 to have 3 dimensions, but got array with shape (80739, 4)
|
|
49
29
|
```
|
|
30
|
+
```
|
|
31
|
+
input_shape=(None, X_train.shape[1], X_train.shape[2]) と、書き換えた場合のエラー
|
|
32
|
+
---------------------------------------------------------------------------
|
|
33
|
+
InvalidArgumentError Traceback (most recent call last)
|
|
34
|
+
D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\framework\ops.py in set_shape(self, shape)
|
|
35
|
+
557 dim_list,
|
|
36
|
+
--> 558 unknown_shape)
|
|
37
|
+
559 except errors.InvalidArgumentError as e:
|
|
50
38
|
|
|
39
|
+
InvalidArgumentError: Shapes must be equal rank, but are 3 and 2
|
|
40
|
+
|
|
41
|
+
During handling of the above exception, another exception occurred:
|
|
42
|
+
～略～
|
|
43
|
+
D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\framework\ops.py in set_shape(self, shape)
|
|
44
|
+
559 except errors.InvalidArgumentError as e:
|
|
45
|
+
560 # Convert to ValueError for backwards compatibility.
|
|
46
|
+
--> 561 raise ValueError(str(e))
|
|
47
|
+
562
|
|
48
|
+
563 @property
|
|
49
|
+
|
|
50
|
+
ValueError: Shapes must be equal rank, but are 3 and 2
|
|
51
|
+
```
|
|
52
|
+
|
|
51
53
|
### 該当のソースコード
|
|
52
54
|
|
|
53
55
|
```python3
|
|
@@ -90,8 +92,16 @@
|
|
|
90
92
|
多変量LSTMについての解説がwebでなかなか見つけ出せず、
|
|
91
93
|
試行錯誤すらできていません。
|
|
92
94
|
|
|
95
|
+
いただいた回答やコメントをもとに試したことは以下です
|
|
96
|
+
・jupyter notebookカーネルの再起動
|
|
97
|
+
->エラー内容に変化なし
|
|
98
|
+
・input_shape=(None, X_train.shape[1], X_train.shape[2]) と、書き換え
|
|
99
|
+
->モデルのレイヤー積み上げ段階でエラーが出るようになりました。
|
|
100
|
+
エラー内容を追記いたします。
|
|
101
|
+
|
|
93
102
|
### 補足情報（FW/ツールのバージョンなど）
|
|
94
103
|
|
|
95
104
|
Windows10
|
|
96
105
|
python = 3.6.10
|
|
97
|
-
tensorflow-gpu = 1.12.0
|
|
106
|
+
tensorflow-gpu = 1.12.0
|
|
107
|
+
エディタ：jupyter notebook
|