Comments (1)
mugiwara-pirate
commented on April 27, 2024
1
@jtovartr I guess it's because you already have onnx and tensorflow installed before this, which might be incompatible with each other. With that being said, please don't use the pip installation for the moment, because even if it succeeds, there might still be problems with the custom tensorflow ops we implemented in tfe. So, please install tf-encrypted from source:
git clone https://github.com/tf-encrypted/tf-encrypted.git
cd tf-encrypted
pip install -e .
make build
from tf-encrypted.
Related Issues (20)
- Save and Load ABY3 Model
- Can this framework use encrypted training data to train network models? Are there any relevant cases to learn from? HOT 7
- version 0.8 federation-learning example seems contain an error in validation dataset setting HOT 2
- AssertionError When running Server HOT 2
- Scaling base question HOT 2
- 'NoneType' object has no attribute 'secure_seed' HOT 9
- TypeError: can only concatenate list (not "TensorShapeV1") to list. (An error in sample_seeded_uniform) HOT 2
- In the federated learning of examples, how to protect the DataOwner's gradient? HOT 1
- Is it possible to evaluate the BaseModel with other keras metrics aside from binary and categorical accuracy? HOT 5
- Trying to better understand the framework beahavior HOT 2
- ValueError: Invalid dtype tf.int16 HOT 2
- why I can see all secret shares in one party? HOT 3
- Can't import tf_encrypted in Colab notebook
- windows install tf-encrypted issue HOT 2
- make: *** [Makefile:322：tf_encrypted/operations/secure_random/secure_random_module_tf_2.13.0.so]; make build error HOT 1
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- WAN setting benchmarks. HOT 4
- ImportError: cannot import name 'glob_stateful_parallelism' from 'tensorflow.python.ops.while_v2' HOT 3
- fatal error: tensorflow/core/util/work_sharder.h: No such file or directory #include "tensorflow/core/util/work_sharder.h" HOT 1
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from tf-encrypted.