質問編集履歴
6
cupy
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trainer.run()
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```
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data は 3次元のデータです。活性化関数を恒等関数にしてるのはわざとです。
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data は 3次元のデータです。活性化関数を恒等関数にしてるのはわざとです。このコードを実行すると次のようなエラーがでるのですが、原因が全くわかりません。なぜでしょうか。
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Exception in main training loop: Unsupported type <class 'NoneType'>
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Traceback (most recent call last):
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TypeError: Unsupported type <class 'NoneType'>
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ちなみに
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ちなみに cupyのエラーが出てるので、GPU関連かなと思い、
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```ここに言語を入力
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updater = training.StandardUpdater(train_iter,optimizer,device=-1)
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としてみたのですが、今度は
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Exception in main training loop: unsupported operand type(s) for *: 'bool' and 'NoneType'
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Traceback (most recent call last):
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 308, in run
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update()
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 149, in update
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self.update_core()
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 164, in update_core
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optimizer.update(loss_func, in_arrays)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/optimizer.py", line 655, in update
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loss.backward(loss_scale=self._loss_scale)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/variable.py", line 966, in backward
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self._backward_main(retain_grad, loss_scale)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/variable.py", line 1095, in _backward_main
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target_input_indexes, out_grad, in_grad)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 548, in backward_accumulate
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gxs = self.backward(target_input_indexes, grad_outputs)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/functions/activation/relu.py", line 73, in backward
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return ReLUGrad2(y).apply((gy,))
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 258, in apply
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outputs = self.forward(in_data)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 368, in forward
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return self.forward_cpu(inputs)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/functions/activation/relu.py", line 97, in forward_cpu
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y = (self.b > 0) * inputs[0]
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Will finalize trainer extensions and updater before reraising the exception.
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Traceback (most recent call last):
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File "AC.py", line 70, in <module>
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trainer.run()
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 322, in run
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six.reraise(*sys.exc_info())
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File "/home/****/.local/lib/python3.5/site-packages/six.py", line 693, in reraise
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raise value
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 308, in run
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update()
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 149, in update
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self.update_core()
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 164, in update_core
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optimizer.update(loss_func, in_arrays)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/optimizer.py", line 655, in update
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loss.backward(loss_scale=self._loss_scale)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/variable.py", line 966, in backward
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self._backward_main(retain_grad, loss_scale)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/variable.py", line 1095, in _backward_main
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target_input_indexes, out_grad, in_grad)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 548, in backward_accumulate
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gxs = self.backward(target_input_indexes, grad_outputs)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/functions/activation/relu.py", line 73, in backward
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return ReLUGrad2(y).apply((gy,))
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 258, in apply
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outputs = self.forward(in_data)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 368, in forward
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return self.forward_cpu(inputs)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/functions/activation/relu.py", line 97, in forward_cpu
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y = (self.b > 0) * inputs[0]
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TypeError: unsupported operand type(s) for *: 'bool' and 'NoneType'
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というエラーがでます。
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4
EDIT
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optimizer = optimizers.SGD(lr=0.05).setup(model)
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train_iter = iterators.SerialIterator(train_data,batch_size)
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updater = training.StandardUpdater(train_iter,optimizer,device=
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updater = training.StandardUpdater(train_iter,optimizer,device=0)
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trainer = training.Trainer(updater,(n_epoch,"epoch"),out="result")
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trainer.run()
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追記
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File "cupy/core/core.pyx", line 1310, in cupy.core.core.ndarray.__mul__
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File "cupy/core/elementwise.pxi", line 753, in cupy.core.core.ufunc.__call__
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File "cupy/core/elementwise.pxi", line 68, in cupy.core.core._preprocess_args
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TypeError: Unsupported type <class 'NoneType'>
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TypeError: Unsupported type <class 'NoneType'>
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ちなみに、CUPTのエラーが出てるので、GPU関連かなと思い、
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```ここに言語を入力
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updater = training.StandardUpdater(train_iter,optimizer,device=-1)
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```
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としてみたのですが、今度は
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TypeError: unsupported operand type(s) for *: 'bool' and 'NoneType'
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というエラーがでます。
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2
x を h2に直した。
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def __call__(self,x):
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h1 = self.l1(x)
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h2 = self.l2(
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h2 = self.l2(h1)
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return h2
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data は 3次元のデータです。活性化関数を恒等関数にしてるのはわざとです。GPUは使いません。このコードを実行すると次のようなエラーがでるのですが、原因が全くわかりません。なぜでしょうか。
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.local/lib/python3.5/site-packages/chainer/training/extensions/evaluator.py:107: UserWarning: The `repeat` property of the iterator {}
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warnings.warn(msg)
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Exception in main training loop:
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Exception in main training loop: Unsupported type <class 'NoneType'>
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Invalid operation is performed in: LinearFunction (Forward)
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Expect: in_types[0].shape[1] == in_types[1].shape[1]
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Actual: 3 != 2
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Traceback (most recent call last):
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File "/home/***/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 308, in run
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 308, in run
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update()
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File "/home/***/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 149, in update
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 149, in update
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self.update_core()
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File "/home/***/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 164, in update_core
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 164, in update_core
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optimizer.update(loss_func, in_arrays)
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File "/home/***/.local/lib/python3.5/site-packages/chainer/optimizer.py", line
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File "/home/****/.local/lib/python3.5/site-packages/chainer/optimizer.py", line 655, in update
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loss = lossfun(*args, **kwds)
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loss.backward(loss_scale=self._loss_scale)
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h2 = F.relu(self.l2(x))
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File "/home/***/.local/lib/python3.5/site-packages/chainer/
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File "/home/****/.local/lib/python3.5/site-packages/chainer/variable.py", line 966, in backward
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self._backward_main(retain_grad, loss_scale)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/variable.py", line 1095, in _backward_main
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target_input_indexes, out_grad, in_grad)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 548, in backward_accumulate
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File "/home/***/.local/lib/python3.5/site-packages/chainer/functions/
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File "/home/****/.local/lib/python3.5/site-packages/chainer/functions/activation/relu.py", line 73, in backward
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return ReLUGrad2(y).apply((gy,))
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File "/home/***/.local/lib/python3.5/site-packages/chainer/function_node.py", line
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 258, in apply
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self.
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outputs = self.forward(in_data)
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File "/home/***/.local/lib/python3.5/site-packages/chainer/function_node.py", line
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 368, in forward
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self.
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return self.forward_cpu(inputs)
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File "/home/***/.local/lib/python3.5/site-packages/chainer/functions/
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File "/home/****/.local/lib/python3.5/site-packages/chainer/functions/activation/relu.py", line 97, in forward_cpu
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y = (self.b > 0) * inputs[0]
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File "cupy/core/core.pyx", line 1310, in cupy.core.core.ndarray.__mul__
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File "cupy/core/elementwise.pxi", line 753, in cupy.core.core.ufunc.__call__
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File "/
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File "cupy/core/elementwise.pxi", line 68, in cupy.core.core._preprocess_args
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expr.expect()
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File "/home/***/.local/lib/python3.5/site-packages/chainer/utils/type_check.py", line 482, in expect
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'{0} {1} {2}'.format(left, self.inv, right))
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Will finalize trainer extensions and updater before reraising the exception.
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Traceback (most recent call last):
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File "AC.py", line
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File "AC.py", line 70, in <module>
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trainer.run()
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File "/home/***/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 322, in run
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 322, in run
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six.reraise(*sys.exc_info())
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File "/home/***/.local/lib/python3.5/site-packages/six.py", line 693, in reraise
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File "/home/****/.local/lib/python3.5/site-packages/six.py", line 693, in reraise
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raise value
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File "/home/***/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 308, in run
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/trainer.py", line 308, in run
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update()
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File "/home/***/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 149, in update
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 149, in update
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self.update_core()
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File "/home/***/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 164, in update_core
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File "/home/****/.local/lib/python3.5/site-packages/chainer/training/updaters/standard_updater.py", line 164, in update_core
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optimizer.update(loss_func, in_arrays)
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File "/home/***/.local/lib/python3.5/site-packages/chainer/optimizer.py", line
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File "/home/****/.local/lib/python3.5/site-packages/chainer/optimizer.py", line 655, in update
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loss = lossfun(*args, **kwds)
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loss.backward(loss_scale=self._loss_scale)
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h2 = F.relu(self.l2(x))
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File "/home/***/.local/lib/python3.5/site-packages/chainer/
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File "/home/****/.local/lib/python3.5/site-packages/chainer/variable.py", line 966, in backward
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self._backward_main(retain_grad, loss_scale)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/variable.py", line 1095, in _backward_main
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target_input_indexes, out_grad, in_grad)
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 548, in backward_accumulate
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gxs = self.backward(target_input_indexes, grad_outputs)
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File "/home/***/.local/lib/python3.5/site-packages/chainer/functions/
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File "/home/****/.local/lib/python3.5/site-packages/chainer/functions/activation/relu.py", line 73, in backward
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return ReLUGrad2(y).apply((gy,))
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File "/home/***/.local/lib/python3.5/site-packages/chainer/function_node.py", line
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 258, in apply
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self.
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outputs = self.forward(in_data)
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File "/home/***/.local/lib/python3.5/site-packages/chainer/function_node.py", line
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File "/home/****/.local/lib/python3.5/site-packages/chainer/function_node.py", line 368, in forward
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self.
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return self.forward_cpu(inputs)
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File "/home/***/.local/lib/python3.5/site-packages/chainer/functions/
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File "/home/****/.local/lib/python3.5/site-packages/chainer/functions/activation/relu.py", line 97, in forward_cpu
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y = (self.b > 0) * inputs[0]
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File "cupy/core/core.pyx", line 1310, in cupy.core.core.ndarray.__mul__
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File "cupy/core/elementwise.pxi", line 753, in cupy.core.core.ufunc.__call__
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File "/
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File "cupy/core/elementwise.pxi", line 68, in cupy.core.core._preprocess_args
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expr.expect()
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File "/home/***/.local/lib/python3.5/site-packages/chainer/utils/type_check.py", line 482, in expect
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'{0} {1} {2}'.format(left, self.inv, right))
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chainer.utils.type_check.InvalidType:
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Invalid operation is performed in: LinearFunction (Forward)
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TypeError: Unsupported type <class 'NoneType'>
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Actual: 3 != 2
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GPU
title
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optimizer = optimizers.SGD(lr=0.05).setup(model)
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train_iter = iterators.SerialIterator(train_data,batch_size)
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updater = training.StandardUpdater(train_iter,optimizer,device=
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updater = training.StandardUpdater(train_iter,optimizer,device=-1)
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trainer = training.Trainer(updater,(n_epoch,"epoch"),out="result")
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trainer.extend(extensions.Evaluator(train_iter,model,device=0),name="val")
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trainer.run()
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```
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