質問編集履歴
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情報の修正
test
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ValueError: could not broadcast input array from shape (
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ValueError: could not broadcast input array from shape (3,10) into shape (3)
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TensorFlowとtflearnを使い、ネットワークを構築しています。
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ValueError: could not broadcast input array from shape (
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ValueError: could not broadcast input array from shape (3,10) into shape (3) とエラーがでました。
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情報の修正
test
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test
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TensorFlowとtflearnを使い、ネットワークを構築しています。
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ValueError: could not broadcast input array from shape (4,104) into shape (4) とエラーがでました。
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Tracebackには、
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```ここに言語を入力
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---------------------------------
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Run id: 2YMAQR
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Log directory: /tmp/tflearn_logs/
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Traceback (most recent call last):
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File "cnn.py", line 181, in <module>
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model.fit(trainDataSet, trainLabel, n_epoch=100, batch_size=32, validation_set=0.1, show_metric=True)
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File "/Users/xxx/anaconda/xxx/lib/python2.7/site-packages/tflearn/models/dnn.py", line 216, in fit
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callbacks=callbacks)
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File "/Users/xxx/anaconda/xxx/lib/python2.7/site-packages/tflearn/helpers/trainer.py", line 269, in fit
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for d in feed_dicts: standarize_dict(d)
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File "/Users/xxx/anaconda/xxx/lib/python2.7/site-packages/tflearn/utils.py", line 160, in standarize_dict
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d[key] = np.asarray(d[key])
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File "/Users/xxx/anaconda/xxx/lib/python2.7/site-packages/numpy/core/numeric.py", line 501, in asarray
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return array(a, dtype, copy=False, order=order)
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ValueError: could not broadcast input array from shape (4,104) into shape (4)
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```
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と出ました。
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```ここに言語を入力
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import tensorflow as tf
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import tflearn
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from tflearn.layers.core import input_data,dropout,fully_connected
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from tflearn.layers.conv import conv_2d, max_pool_2d
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from tflearn.layers.normalization import local_response_normalization
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from tflearn.layers.estimator import regression
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tf.reset_default_graph()
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net = input_data(shape=[32, 4, 104, 1])
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net = conv_3d(net, 4, 16, activation='relu')
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net = max_pool_3d(net, 1)
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net = tflearn.activations.relu(net)
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net = dropout(net, 0.5)
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net = tflearn.fully_connected(net, 10, activation='softmax')
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net = tflearn.regression(net, optimizer='adam', learning_rate=0.5, loss='categorical_crossentropy')
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model = tflearn.DNN(net)
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model.fit(trainDataSet, trainLabel, n_epoch=100, batch_size=32, validation_set=0.1, show_metric=True)
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pred = np.array(model.predict(testDataSet).argmax(axis=1))
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label = testLabel.argmax(axis=1)
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accuracy = np.mean(pred == label, axis=0)
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print(accuracy)
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```
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とコードを書きました。
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```ここに言語を入力
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model.fit(trainDataSet, trainLabel, n_epoch=100, batch_size=32, validation_set=0.1, show_metric=True)
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```
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の行でエラーが出ています。
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trainDataSetには
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```ここに言語を入力
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[array([[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0. ,
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1. , 0. , 1. , 0. , 1. , 1. , 0. , 0. , 0. , 0. , 1. ,
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0. , 0. , 0. , 0. , 0. , 0. , 1. , 1. , 0. , 0. , 0. ,
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1. , 0. , 1. , 0. , 0. , 1. , 0. , 0. , 1. , 0. , 1. ,
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1. , 1. , 0. , 0. , 0. , 0. , 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25],
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[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0. ,
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0. , 1. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 1. , 0. ,
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1. , 1. , 1. , 0. , 1. , 0. , 0. , 0. , 1. , 1. , 1. ,
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0. , 1. , 0. , 0. , 1. , 0. , 0. , 1. , 0. , 1. , 0. ,
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0. , 0. , 0. , 1. , 1. , 0. , 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25],
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[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0. ,
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0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 1. , 0. , 0. ,
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0. , 0. , 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. ,
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0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,
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0. , 0. , 1. , 0. , 0. , 1. , 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25],
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[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 1. ,
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0. , 0. , 0. , 0. , 0. , 0. , 1. , 1. , 0. , 0. , 0. ,
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0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,
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0. , 0. , 0. , 0. , 0. , 0. , 1. , 0. , 0. , 0. , 0. ,
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0. , 0. , 0. , 0. , 0. , 0. , 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25]],
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dtype=float32), array([[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 1. , 0. , 0. , 1. , 0. , 0. , 0. , 0. ,
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0. , 0. , 1. , 0. , 0. , 0. , 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25],
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[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0. , 0. , 0. , 0. , 1. , 1. , 1. , 1. ,
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0. , 0. , 0. , 0. , 0. , 0. , 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25],
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[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ,
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1. , 0. , 0. , 0. , 0. , 0. , 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25],
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[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0. , 1. , 1. , 0. , 0. , 0. , 0. , 0. ,
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0. , 1. , 0. , 1. , 1. , 1. , 0.25, 0.25, 0.25, 0.25, 0.25,
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0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25]],
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dtype=float32)]
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```
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のようなarrayが入っていて、trainLabelには
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```ここに言語を入力
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[array(1), array(1), ・・・ array(0), array(1)]
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```
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のようにラベルが入っています。
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何が原因でエラーが引き起こされるのかわかりません。どのようにコードを修正したらいいでしょうか？
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