error about debug_seq2seq

[htw2012]

Hi, @nicolas-ivanov

I run the training code.Maybe it contains some errors in it.I get the error like below:

`ValueError: Shape mismatch: x has 64 rows but z has 24 rows
Apply node that caused the error: Gemm{no_inplace}(Subtensor{::, int64::}.0, TensorConstant{0.20000000298}, <TensorType(float32, matrix)>, lstm_U_o_copy, TensorConstant{0.20000000298})
Toposort index: 5
Inputs types: [TensorType(float32, matrix), TensorType(float32, scalar), TensorType(float32, matrix), TensorType(float32, matrix), TensorType(float32, scalar)]
Inputs shapes: [(24, 128), (), (64, 128), (128, 128), ()]
Inputs strides: [(32768, 4), (), (512, 4), (512, 4), ()]
Inputs values: ['not shown', array(0.20000000298023224, dtype=float32), 'not shown', 'not shown', array(0.20000000298023224, dtype=float32)]
Outputs clients: [[Elemwise{Composite{(clip((i0 + i1), i2, i3) * tanh(i4))}}(TensorConstant{(1, 1) of 0.5}, Gemm{no_inplace}.0, TensorConstant{(1, 1) of 0}, TensorConstant{(1, 1) of 1}, Elemwise{Composite{((clip((i0 + i1), i2, i3) * i4) + (clip((i5 + i6), i2, i3) * tanh(i7)))}}.0)]]

HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
Apply node that caused the error: forall_inplace,cpu,scan_fn}(TensorConstant{16}, InplaceDimShuffle{1,0,2}.0, IncSubtensor{InplaceSet;:int64:}.0, DeepCopyOp.0, TensorConstant{16}, lstm_U_o, lstm_U_f, lstm_U_i, lstm_U_c)
Toposort index: 36
Inputs types: [TensorType(int64, scalar), TensorType(float32, 3D), TensorType(float32, (True, False, False)), TensorType(float32, (True, False, False)), TensorType(int64, scalar), TensorType(float32, matrix), TensorType(float32, matrix), TensorType(float32, matrix), TensorType(float32, matrix)]
Inputs shapes: [(), (16, 24, 512), (1, 64, 128), (1, 64, 128), (), (128, 128), (128, 128), (128, 128), (128, 128)]
Inputs strides: [(), (2048, 32768, 4), (32768, 512, 4), (32768, 512, 4), (), (512, 4), (512, 4), (512, 4), (512, 4)]
Inputs values: [array(16), 'not shown', 'not shown', 'not shown', array(16), 'not shown', 'not shown', 'not shown', 'not shown']
Outputs clients: [[], [], [InplaceDimShuffle{0,1,2}(forall_inplace,cpu,scan_fn}.2)]]

HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.`

How can I solve it ?

[kaya27]

how did u solve it?