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我是深度学习的新手,我一直在尝试使用 theano 库来训练我的数据。这里的MLP 教程有一个标量输出值,而我的用例有一个数组,其中 1 对应于输出中描述的值。

例如(假设可能的标量值为 0,1,2,3,4,5),

0 = [1,0,0,0,0,0]
1 = [0,1,0,0,0,0]
2 = [0,0,1,0,0,0]

我只修改了代码来读取我的输入和输出(输出现在是 theano 中的二维数组或矩阵)。代码的其他部分与上面粘贴的 MLP 教程相同。

我得到的错误在以下函数中

test_model = theano.function(inputs=[index],
            outputs=classifier.errors(y),
            givens={
                x: test_set_x[index * batch_size:(index + 1) * batch_size],
                y: test_set_y[index * batch_size:(index + 1) * batch_size]}) //line 286

错误堆栈:

  Traceback (most recent call last):
  File "mlp.py", line 398, in <module>
    test_mlp()
  File "mlp.py", line 286, in test_mlp
    y: test_set_y[index * batch_size:(index + 1) * batch_size]})
  File "/usr/local/lib/python2.7/dist-packages/theano/compile/function.py", line 223, in function
    profile=profile)
  File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 490, in pfunc
    no_default_updates=no_default_updates)
  File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 241, in rebuild_collect_shared
    cloned_v = clone_v_get_shared_updates(outputs, copy_inputs_over)
  File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 92, in clone_v_get_shared_updates
    clone_a(v.owner, copy_inputs_over)
  File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 131, in clone_a
    clone_v_get_shared_updates(i, copy_inputs_over)
  File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 92, in clone_v_get_shared_updates
    clone_a(v.owner, copy_inputs_over)
  File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 131, in clone_a
    clone_v_get_shared_updates(i, copy_inputs_over)
  File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 92, in clone_v_get_shared_updates
    clone_a(v.owner, copy_inputs_over)
  File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 135, in clone_a
    strict=rebuild_strict)
  File "/usr/local/lib/python2.7/dist-packages/theano/gof/graph.py", line 213, in clone_with_new_inputs
    new_inputs[i] = curr.type.filter_variable(new)
  File "/usr/local/lib/python2.7/dist-packages/theano/tensor/type.py", line 205, in filter_variable
    self=self)<br><br>
  TypeError: Cannot convert Type TensorType(int64, matrix) (of Variable Subtensor{int64:int64:}.0) into Type TensorType(int32, vector). You can try to manually convert Subtensor{int64:int64:}.0 into a TensorType(int32, vector).

我想知道如何更改此 theano.function 以将 y 值容纳为矩阵。

4

1 回答 1

2

您需要定义yasT.imatrix()而不是T.lvector().

于 2014-07-19T19:23:07.013 回答