Invalid Argument Error about relation-classification-using-bidirectional-lstm-tree HOT 18 OPEN

Exact error and the code line
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input/sp_childs' with dtype int32 and shape [5,2,20,20]

For complete model training
---> 29 _, _loss, step, _summary = sess.run([train_op, total_loss, global_step_dep, summary], feed_dict)

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first check whether [[childs_path1[k], childs_path2[k]] for k in range(s, end)] has the same dimension as [5, 2, 20, 20] and also the data type

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Thank you Shanu for the response.
I tried for a small sample as it was slow. But now i tried with all 8000 and am running them in python2
All pickles are written with python2

Now I get this error.
InvalidArgumentError (see above for traceback): Inputs to operation gradients_1/AddN_1101 of type AddN must have the same size and shape. Input 0: [2,20,1,100] != input 1: [2,1,1,100
This is in model3v2, this line of code
For complete model training
_, _loss, step, _summary = sess.run([train_op, total_loss, global_step_dep, summary], feed_dict)

Kindly help

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please try using python 3.

Just use printing the shapes of this tensors, then debug the code

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Hey shanu, why should there be a change in dimensions of the tensors, if i am using the same data as yours @arunzz were you able to solve the problem?

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Can you please post the error or for which tensors dimension problem is occurring?

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@arunzz can you share some more insights, actually i am currently learning about it meanwhile i am working on this. It will be a great help. or maybe you can share your version.

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It worked, thanks shanu :)

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@arunzz @NeverInAsh I'm wondering what you guys did to fix the error? I am running python 3

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@arunzz I have meet the same problem. I am running python 3, but the problem still exist. Can you attached the worked model3v2 source file?

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model3v2.py.zip

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@arunzz which version of tensorlfow and python you use?

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@arunzz when I don't init glove embedding in your source file, it will exist the error:
InvalidArgumentError (see above for traceback): slice index 1 of dimension 0 out of bounds.
[[Node: gradients_1/hidden_layer_seq/while_3/strided_slice_grad/StridedSliceGrad = StridedSliceGrad[Index=DT_INT32, T=DT_FLOAT, begin_mask=0, ellipsis_mask=0, end_mask=0, new_axis_mask=0, shrink_axis_mask=1, _device="/job:localhost/replica:0/task:0/device:CPU:0"]

when I init glove embedding, it will exist the error:
InvalidArgumentError (see above for traceback): Inputs to operation gradients_1/AddN_1101 of type AddN must have the same size and shape. Input 0: [2,20,1,100] != input 1: [2,1,1,100]

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@arunzz When I use tensorflow 1.12.0, it will lead "ArithmeticOptimize" error. Then I replaced the version of tensorflow 1.8.0. and worked. But it will occur "concat" error and "hidden_layer" error. Then I replaced the version of tensorflow 1.10.0. Your source file finally worked.

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@arunzz in model3v2
model = tf.train.latest_checkpoint(model_dir)
saver.restore(sess, model)
when I try to restore
the error says 👎
ValueError: Can't load save_path when it is None.
Please help

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