Invalid Argument Error

[arunzz]

Hi Shanu

I tried Model3v1 for 10 samples. Accordingly I generated train_paths and when i run, I get the below error.
PLease let know.
I have attached the source file too -
model3v1.txt

File "", line 1, in
[elided 1 identical lines from previous traceback]
File "/usr/lib/python2.7/idlelib/run.py", line 324, in runcode
exec code in self.locals
File "/home/arunkumar/Downloads/Relation-Classification-master/model3v1.py", line 422, in
s_seq.get_shape(), tf.TensorShape([None, 100])])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/control_flow_ops.py", line 3096, in while_loop
result = loop_context.BuildLoop(cond, body, loop_vars, shape_invariants)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/control_flow_ops.py", line 2874, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/control_flow_ops.py", line 2814, in _BuildLoop
body_result = body(*packed_vars_for_body)
File "/home/arunkumar/Downloads/Relation-Classification-master/model3v1.py", line 415, in matmul_hl
temp = tf.tanh(tf.matmul(input_seq[j], W) + b)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 588, in _slice_helper
name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 754, in strided_slice
shrink_axis_mask=shrink_axis_mask)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 5397, in strided_slice
name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 3271, in create_op
op_def=op_def)

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"](gradients_1/hidden_layer_seq/while_3/strided_slice_grad/StridedSliceGrad/StackPopV2, gradients_1/hidden_layer_seq/while_3/strided_slice_grad/StridedSliceGrad/StackPopV2_1, gradients_1/hidden_layer_seq/while_3/strided_slice_grad/StridedSliceGrad/StackPopV2_2, gradients_1/hidden_layer_seq/while_3/strided_slice_grad/StridedSliceGrad/Const_3, gradients_1/hidden_layer_seq/while_3/MatMul_grad/tuple/control_dependency)]]

[arunzz]

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)

[Sshanu]

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

[arunzz]

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

[Sshanu]

please try using python 3.

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

[NeverInAsh]

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?

[Sshanu]

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

[arunzz]

Yes Use python 3 It worked. No changes to any dimensions. But the label encoding also has to be passed into relation encoder. That part is missing i think

…

On Jun 15, 2018, at 11:33 AM, Shanu Kumar ***@***.***> wrote: Can you please post the error or for which tensors dimension problem is occurring? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[NeverInAsh]

@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.

[arunzz]

Hi Shanu is our guru :) He wrote the entire thing. Regards Arun

…

On Fri, Jun 15, 2018 at 2:51 PM, NeverInAsh ***@***.***> wrote: @arunzz <https://github.com/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. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#9 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AUJLxe8vgjyeDesR7_i7C6nubFghBQFSks5t83ySgaJpZM4ThR3G> .

[NeverInAsh]

It worked, thanks shanu :)

[ProxyCausal]

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

[arunzz]

Just python3 Initialize global variables after loading glove embeddings.

…

On Jul 2, 2018, at 7:59 PM, enmatics ***@***.***> wrote: @arunzz @NeverInAsh I'm wondering what you guys did to fix the error? I am running python 3 — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

[zy158]

@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?

[arunzz]

model3v2.py.zip