[英]Theano function raises ValueError with 'givens' attribute
I use theano
function and want to use givens
to iterate all the input samples. 我用theano
功能,想用givens
遍历所有的输入样本。 The code is as below: 代码如下:
index = T.scalar('index')
train_set = np.array([[0.2, 0.5, 0.01], [0.3, 0.91, 0.4], [0.1, 0.7, 0.22],
[0.7, 0.54, 0.2], [0.1, 0.12, 0.3], [0.2, 0.52, 0.1],
[0.12, 0.08, 0.4], [0.02, 0.7, 0.22], [0.71, 0.5, 0.2],
[0.1, 0.42, 0.63]])
train = function(inputs=[index], outputs=cost, updates=updates,
givens={x: train_set[index]})
It eventually raises an error: 最终会引发错误:
ValueError: setting an array element with a sequence.
Could you tell me why, and how to solve the problem? 你能告诉我为什么,以及如何解决这个问题吗?
The problem is this: train_set[index]
问题是这样的: train_set[index]
Here train_set is a numpy ndarray and index a Theano variable. 这里train_set是一个numpy ndarray,并为Theano变量建立索引。 NumPy don't know how to work with Theano variables. NumPy不知道如何使用Theano变量。 You must convert train_set to a Theano variable like a shared variable: 您必须将train_set转换为Theano变量,例如共享变量:
train_set = theano.shared(train_set)
You also need to change your declaration of index as Theano don't support real value for index: 您还需要更改索引声明,因为Theano不支持索引的实际值:
index = T.iscalar()
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