Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

ValueError: not enough values to unpack (expected 3, got 2) #41

Open
Coder-Vishali opened this issue Sep 16, 2022 · 0 comments
Open

ValueError: not enough values to unpack (expected 3, got 2) #41

Coder-Vishali opened this issue Sep 16, 2022 · 0 comments

Comments

@Coder-Vishali
Copy link

Facing value error while testing the data augmentation scripts under examples.

Output of falsifier.py script:

$ python falsifier.py
Initializing server
Server ready
Traceback (most recent call last; use -b to show Scenic internals):
File "/home/username/verifai/VerifAI/examples/data_augmentation/falsifier.py", line 57, in
falsifier.run_falsifier()
File "/home/username/verifai/verifai_env/lib/python3.9/site-packages/verifai/falsifier.py", line 155, in run_falsifier
sample, rho, (sample_time, simulate_time) = self.server.run_server()
ValueError: not enough values to unpack (expected 3, got 2)
100% (20 of 20) |########################################################################################################################################################################| Elapsed Time: 0:00:00 ETA: 00:00:00

Output of classifier.py script:

$ python classifier.py
WARNING:tensorflow:From /home/username/verifai/verifai_env/lib/python3.9/site-packages/tensorflow/python/compat/v2_compat.py:111: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term
2022-09-16 14:54:36.035546: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-09-16 14:54:36.563780: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 6892 MB memory: -> device: 0, name: NVIDIA GeForce GTX 1080, pci bus id: 0000:65:00.0, compute capability: 6.1
2022-09-16 14:54:37.920585: I tensorflow/stream_executor/cuda/cuda_dnn.cc:366] Loaded cuDNN version 8100
2022-09-16 14:54:39.340597: W tensorflow/stream_executor/gpu/asm_compiler.cc:111] *** WARNING *** You are using ptxas 9.1.108, which is older than 11.1. ptxas before 11.1 is known to miscompile XLA code, leading to incorrect results or invalid-address errors.

You may not need to update to CUDA 11.1; cherry-picking the ptxas binary is often sufficient.
No new sample received from server.
End of all classifier calls

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant