Thank you Petros for asking this question! I have run into the very same
problem and this thread has saved me a lot of time!
Thank you Pascal and Frédéric, you guys are awesome!
On Friday, August 16, 2013 at 9:17:15 PM UTC+2, Petros Ypsilantis wrote:
>
> Hi everyone,
>
>
> I use data from matlab, despite the fact that I have managed to transform
> my data in order to be theano readable and I don't have any problem during
> the pre-training
>
> procedure of the dbn.py . During the fine-tuning I take the following
> massage:
>
>
> ValueError: y_i value out of bounds
> Apply node that caused the error:
> CrossentropySoftmaxArgmax1HotWithBias(_dot22.0, b, Elemwise{Cast{int32}}.0)
> Inputs shapes: [(10, 2), (2,), (10,)]
> Inputs strides: [(16, 8), (8,), (4,)]
> Inputs types: [TensorType(float64, matrix), TensorType(float64, vector),
> TensorType(int32, vector)]
> Use the Theano flag 'exception_verbosity=high' for a debugprint of this
> apply node.
>
>
>
> When I run again dbn.py using (THEANO_FLAGS="exception_verbosity=high") I
> take the following error:
>
>
>
> ValueError: y_i value out of bounds
> Apply node that caused the error:
> CrossentropySoftmaxArgmax1HotWithBias(_dot22.0, b, Elemwise{Cast{int32}}.0)
> Inputs shapes: [(10, 2), (2,), (10,)]
> Inputs strides: [(16, 8), (8,), (4,)]
> Inputs types: [TensorType(float64, matrix), TensorType(float64, vector),
> TensorType(int32, vector)]
> Debugprint of the apply node:
> CrossentropySoftmaxArgmax1HotWithBias.0 [@A] <TensorType(float64, vector)>
> ''
> |_dot22 [@B] <TensorType(float64, matrix)> ''
> | |Elemwise{Composite{[scalar_sigmoid(add(i0, i1))]}}[(0, 0)] [@C]
> <TensorType(float64, matrix)> ''
> | | |_dot22 [@D] <TensorType(float64, matrix)> ''
> | | | |Elemwise{Composite{[scalar_sigmoid(add(i0, i1))]}}[(0, 0)] [@E]
> <TensorType(float64, matrix)> ''
> | | | | |_dot22 [@F] <TensorType(float64, matrix)> ''
> | | | | | |Elemwise{Composite{[scalar_sigmoid(add(i0, i1))]}}[(0, 0)]
> [@G] <TensorType(float64, matrix)> ''
> | | | | | | |_dot22 [@H] <TensorType(float64, matrix)> ''
> | | | | | | | |Subtensor{int64:int64:} [@I] <TensorType(float64, matrix)>
> ''
> | | | | | | | | |<TensorType(float64, matrix)> [@J] <TensorType(float64,
> matrix)>
> | | | | | | | | |ScalarFromTensor [@K] <int64> ''
> | | | | | | | | | |Elemwise{mul,no_inplace} [@L] <TensorType(int64,
> scalar)> ''
> | | | | | | | | | |TensorConstant{10} [@M] <TensorType(int64, scalar)>
> | | | | | | | | | |index [@N] <TensorType(int64, scalar)>
> | | | | | | | | |ScalarFromTensor [@O] <int64> ''
> | | | | | | | | |Elemwise{Composite{[mul(i0, add(i1, i2))]}} [@P]
> <TensorType(int64, scalar)> ''
> | | | | | | | | |TensorConstant{10} [@M] <TensorType(int64, scalar)>
> | | | | | | | | |TensorConstant{1} [@Q] <TensorType(int64, scalar)>
> | | | | | | | | |index [@N] <TensorType(int64, scalar)>
> | | | | | | | |W [@R] <TensorType(float64, matrix)>
> | | | | | | |InplaceDimShuffle{x,0} [@S] <TensorType(float64, row)> ''
> | | | | | | |b [@T] <TensorType(float64, vector)>
> | | | | | |W [@U] <TensorType(float64, matrix)>
> | | | | |InplaceDimShuffle{x,0} [@V] <TensorType(float64, row)> ''
> | | | | |b [@W] <TensorType(float64, vector)>
> | | | |W [@X] <TensorType(float64, matrix)>
> | | |InplaceDimShuffle{x,0} [@Y] <TensorType(float64, row)> ''
> | | |b [@Z] <TensorType(float64, vector)>
> | |W [@BA] <TensorType(float64, matrix)>
> |b [@BB] <TensorType(float64, vector)>
> |Elemwise{Cast{int32}} [@BC] <TensorType(int32, vector)> ''
> |Subtensor{int64:int64:} [@BD] <TensorType(float32, vector)> ''
> |<TensorType(float32, vector)> [@BE] <TensorType(float32, vector)>
> |ScalarFromTensor [@K] <int64> ''
> |ScalarFromTensor [@O] <int64> ''
> CrossentropySoftmaxArgmax1HotWithBias.1 [@A] <TensorType(float64, matrix)>
> ''
> CrossentropySoftmaxArgmax1HotWithBias.2 [@A] <TensorType(int32, vector)>
> ''
>
>
>
> Does anybody have an idea what is the problem?
>
>
> Thanks
>
> Petros
>
>
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