python - Value Error: Dimension Mismatch .., in Theano -


i followed convolutional neural network tutorial , try re-write code from: http://deeplearning.net/tutorial/code/convolutional_mlp.py

and try change code line 108, from:

self.output = t.tanh(pooled_out + self.b.dimshuffle('x', 0, 'x', 'x'))

to

self.output = t.tanh(conv_out + self.b.dimshuffle('x', 0, 'x', 'x'))

and got error:

valueerror: dimension mismatch in args gemm (500,20000)x(800,500)->(500,500) apply node caused error: gpudot22(gpuelemwise{tanh,no_inplace}.0, w) toposort index: 40 inputs types: [cudandarraytype(float32, matrix), cudandarraytype(float32, matrix)] inputs shapes: [(500, 20000), (800, 500)] inputs strides: [(20000, 1), (500, 1)] inputs values: ['not shown', 'not shown'] outputs clients: [[gpuelemwise{composite{tanh((i0 + i1))}}[(0, 0)](gpudot22.0, gpudimshuffle{x,0}.0)]]

i don't know why happen, because think pooled_out , conv_out have same shape in second dimension

can me explain why happen?

the problem not inside lenetconvpoollayer it's in following layer expecting output lenetconvpoollayer 1 size getting else.

to skip pooling, you'll need adjust every layer follows lenetconvpoollayer expect input appropriately larger size.


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