Error while training

[mry94]

Hi,

I'm getting this error when I'm trying to run the code:
Tensorflow version :1.3.0
installed via Anaconda

Traceback (most recent call last):
File "main.py", line 39, in
tf.app.run()
File "/storage/work/anaconda2/envs/tensorflow-gpu/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "main.py", line 35, in main
evaluate_addition()
File "/storage/workNPI/npi/tasks/addition/eval.py", line 32, in evaluate_addition
core = AdditionCore()
File "/storage/work/NPI/npi/tasks/addition/addition.py", line 38, in init
self.program_embedding = self.build_program_store()
File "/storage/work/NPI/npi/tasks/addition/addition.py", line 65, in build_program_store
CONFIG["PROGRAM_EMBEDDING_SIZE"], name="Program_Embedding")
File "/storage/work/anaconda2/envs/tensorflow-gpu/lib/python2.7/site-packages/tflearn/layers/embedding_ops.py", line 70, in embedding
inference.seq_length = retrieve_seq_length_op(tf.reshape(incoming, shape))
File "/storage/work/anaconda2/envs/tensorflow-gpu/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 2619, in reshape
name=name)
File "/storage/work/anaconda2/envs/tensorflow-gpu/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/storage/work/anaconda2/envs/tensorflow-gpu/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2632, in create_op
set_shapes_for_outputs(ret)
File "/storage/work/anaconda2/envs/tensorflow-gpu/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1911, in set_shapes_for_outputs
shapes = shape_func(op)
File "/storage/work/anaconda2/envs/tensorflow-gpu/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1861, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/storage/work/anaconda2/envs/tensorflow-gpu/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 595, in call_cpp_shape_fn
require_shape_fn)
File "/storage/work/anaconda2/envs/tensorflow-gpu/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 659, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimension size must be evenly divisible by 10 but is 1 for 'Reshape' (op: 'Reshape') with input shapes: [1,1], [4] and with input tensors computed as partial shapes: input[1] = [?,1,10,1].

Any idea how to solve this?
Thanks,

[PlanetMoon]

The same question.

Traceback (most recent call last):
File "main.py", line 39, in
tf.app.run()
File "/home/luna/ml/env/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "main.py", line 35, in main
evaluate_addition()
File "/home/luna/ml/npi/tasks/addition/eval.py", line 32, in evaluate_addition
core = AdditionCore()
File "/home/luna/ml/npi/tasks/addition/addition.py", line 38, in init
self.program_embedding = self.build_program_store()
File "/home/luna/ml/npi/tasks/addition/addition.py", line 65, in build_program_store
CONFIG["PROGRAM_EMBEDDING_SIZE"], name="Program_Embedding")
File "/home/luna/ml/env/lib/python3.6/site-packages/tflearn/layers/embedding_ops.py", line 70, in embedding
inference.seq_length = retrieve_seq_length_op(tf.reshape(incoming, shape))
File "/home/luna/ml/env/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 3938, in reshape
"Reshape", tensor=tensor, shape=shape, name=name)
File "/home/luna/ml/env/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/luna/ml/env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2958, in create_op
set_shapes_for_outputs(ret)
File "/home/luna/ml/env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2209, in set_shapes_for_outputs
shapes = shape_func(op)
File "/home/luna/ml/env/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2159, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/home/luna/ml/env/lib/python3.6/site-packages/tensorflow/python/framework/common_shapes.py", line 627, in call_cpp_shape_fn
require_shape_fn)
File "/home/luna/ml/env/lib/python3.6/site-packages/tensorflow/python/framework/common_shapes.py", line 691, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimension size must be evenly divisible by 10 but is 1 for 'Reshape' (op: 'Reshape') with input shapes: [1,1], [4] and with input tensors computed as partial shapes: input[1] = [?,1,10,1].

Maybe the code is out of date?

[ralphatobe]

It appears I have joined the club. Has anyone found a solution/workaround?

Traceback (most recent call last):
File "main.py", line 39, in
tf.app.run()
File "/home/rburke45/npi/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "main.py", line 31, in main
train_addition(FLAGS.num_epochs)
File "/home/rburke45/Documents/Program Synthesis/Neural Program Recursion/npi/tasks/addition/train.py", line 33, in train_addition
core = AdditionCore()
File "/home/rburke45/Documents/Program Synthesis/Neural Program Recursion/npi/tasks/addition/addition.py", line 38, in init
self.program_embedding = self.build_program_store()
File "/home/rburke45/Documents/Program Synthesis/Neural Program Recursion/npi/tasks/addition/addition.py", line 68, in build_program_store
CONFIG["PROGRAM_EMBEDDING_SIZE"], name="Program_Embedding")
File "/home/rburke45/npi/local/lib/python2.7/site-packages/tflearn/layers/embedding_ops.py", line 70, in embedding
inference.seq_length = retrieve_seq_length_op(tf.reshape(incoming, shape))
File "/home/rburke45/npi/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 2510, in reshape
name=name)
File "/home/rburke45/npi/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
op_def=op_def)
File "/home/rburke45/npi/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2338, in create_op
set_shapes_for_outputs(ret)
File "/home/rburke45/npi/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1719, in set_shapes_for_outputs
shapes = shape_func(op)
File "/home/rburke45/npi/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1669, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/home/rburke45/npi/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/home/rburke45/npi/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimension size must be evenly divisible by 10 but is 1 for 'Reshape' (op: 'Reshape') with input shapes: [1,1], [4] and with input tensors computed as partial shapes: input[1] = [?,1,10,1].

[ralphatobe]

If anyone continues to have this problem I've updated this repo to TF 1.13 and removed dependency on the tflearn package. @siddk, you're currently attributed in the README, where I link back to this original repo. If you'd like me to expand that attribution to individual files, feel free to contact me.

new repo: https://github.com/ford-core-ai/neural-programmer-interpreter