質問編集履歴
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エラー内容を載せました。vscodeで書いています
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以前と重複した質問になってしまいますが、いまだ解決策を見つけられていないため再度質問させて頂きました。
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よろしくお願いいたします。
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import numpy as np
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import chainer
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import chainer.function as F
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import chainer.links as L
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import chainer.initializers as I
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from chainer import training
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from chainer.training import extensions
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class Mychain(chainer.Chain):
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def __init__(self):
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super(Mychain,self).__init__()
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with self.init_scope():
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self.l1=L.Linear(2,3)#入力層2,中間層3
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self.l2=L.Linear(3,2)#中間層3,出力層2
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def __call__(self,x):
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h1=F.relu(self.l1(x))#レル関数
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y=self.l2(h1)
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return y
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epoch=100
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batchsize=4
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#データの作成
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trainx=np.array(([0,0],[0,1],[1,0],[1,1]),dtype=np.float32)
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trainy=np.array([0,1,1,1],dtype=np.int32)
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train=chainer.datasets.TupleDataset(trainx,trainy)
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test=chainer.datasets.TupleDataset(trainx,trainy)
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#ニューラルネットワークの登録
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model=L.Classifier(Mychain(), lossfun=F.softmax_cross_entropy)
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optimizer=chainer.optimizers.Adam()
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optimizer.setup(model)
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#イテレータの定義
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train_iter=chainer.iterators.SerialIterator(train,batchsize)
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test_iter=chainer.iterators.SerialIterator(test,batchsize,repeat=False,shuffle=False)
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#アップデータの登録
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updater=training.StandardUpdater(train_iter,optimizer)
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#トレーナーの登録
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trainer=training.Trainer(updater,(epoch,'epoch'))
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#学習状況の表示や保存
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trainer.extend(extensions.LogReport())#ログ
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trainer.extend(extensions.Evaluator(test_iter,model))#エポック数の表示
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trainer.extend(extensions.PrintReport(['epoch','main/loss','validation/main/loss','main/accuracy','validation/main/accuracy','elapsed_time']))
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trainer.extend(extensions.dump_graph('main/loss'))
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trainer.extend(extensions.PlotReport)(['main/accuracy','validation/main/loss'],'epoch',filename='accuracy.png')
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chainer.serializers.save_npz('result/out.model',model)
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trainer.run
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これを実行しようとしたところ以下のように出ました。
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>>> r import training
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File "<stdin>", line 1
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r import training
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^
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SyntaxError: invalid syntax
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>>> from chainer.training import extensions
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>>> class Mychain(chainer.Chain):
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... def __init__(self):
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... super(Mychain,self).__init__()
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... with self.init_scope():
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... self.l1=L.Linear(2,3)#入力層2,中間層3
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... self.l2=L.Linear(3,2)#中間層3,出力層2
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... def __call__(self,x):
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... h1=F.relu(self.l1(x))#レル関数
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... y=self.l2(h1)
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... return y
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... epoch=100
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File "<stdin>", line 11
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epoch=100
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^
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SyntaxError: invalid syntax
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>>> batchsize=4
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>>>
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>>> #データの作成
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... trainx=np.array(([0,0],[0,1],[1,0],[1,1]),dtype=np.float32)
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Traceback (most recent call last):
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File "<stdin>", line 2, in <module>
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NameError: name 'np' is not defined
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>>> trainy=np.array([0,1,1,1],dtype=np.int32)
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'np' is not defined
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>>> train=chainer.datasets.TupleDataset(trainx,trainy)
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'chainer' is not defined
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>>> test=chainer.datasets.TupleDataset(trainx,trainy)
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'chainer' is not defined
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>>>
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>>> #ニューラルネットワークの登録
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... model=L.Classifier(Mychain(), lossfun=F.softmax_cross_entropy)
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Traceback (most recent call last):
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File "<stdin>", line 2, in <module>
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NameError: name 'L' is not defined
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>>> optimizer=chainer.optimizers.Adam()
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'chainer' is not defined
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>>> optimizer.setup(model)
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'optimizer' is not defined
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>>>
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>>> #イテレータの定義
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... train_iter=chainer.iterators.SerialIterator(train,batchsize)
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Traceback (most recent call last):
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File "<stdin>", line 2, in <module>
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NameError: name 'chainer' is not defined
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>>> test_iter=chainer.iterators.SerialIterator(test,batchsize,repeat=False,shuffle=False)
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'chainer' is not defined
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>>>
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>>> #アップデータの登録
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... updater=training.StandardUpdater(train_iter,optimizer)
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Traceback (most recent call last):
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File "<stdin>", line 2, in <module>
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NameError: name 'training' is not defined
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>>>
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>>> #トレーナーの登録
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... trainer=training.Trainer(updater,(epoch,'epoch'))
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Traceback (most recent call last):
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File "<stdin>", line 2, in <module>
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NameError: name 'training' is not defined
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>>>
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>>> #学習状況の表示や保存
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... trainer.extend(extensions.LogReport())#ログ
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Traceback (most recent call last):
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File "<stdin>", line 2, in <module>
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NameError: name 'trainer' is not defined
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>>> trainer.extend(extensions.Evaluator(test_iter,model))#エポック数の表示
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'trainer' is not defined
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>>> trainer.extend(extensions.PrintReport(['epoch','main/loss','validation/main/loss','main/accuracy','validation/main/accuracy','elapsed_time']))
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'trainer' is not defined
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>>>
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>>> trainer.extend(extensions.dump_graph('main/loss'))
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'trainer' is not defined
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>>> trainer.extend(extensions.PlotReport)(['main/accuracy','validation/main/loss'],'epoch',filename='accuracy.png')
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'trainer' is not defined
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>>> chainer.serializers.save_npz('result/out.model',model)
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'chainer' is not defined
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>>> trainer.run
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Traceback (most recent call last):
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File "<stdin>", line 1, in <module>
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NameError: name 'trainer' is not defined
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>>> & cmd /k "C:/Users/kinmu/Anaconda3/Scripts/activate.bat & powershell"
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File "<stdin>", line 1
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& cmd /k "C:/Users/kinmu/Anaconda3/Scripts/activate.bat & powershell"
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^
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SyntaxError: invalid syntax
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>>>
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