Comments (3)
Hi @abhishek-t-naive thanks for your question - we consider injection in the weights in our latest version of the tool: TensorFI2 which works with TensorFlow 2 and Python 3.
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That's great to hear!
I am trying to work with a network implemented with TensorFlow 1 and Python 2.7. Do you suggest any method by which injection in weights could be done with TensorFlow 1 or TensorFlow 2 back-compatible?
from tensorfi.
I see.. right now, I don't think we have a solution for your use case but I see this as a possible enhancement for TensorFI 1, so adding the label.
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Related Issues (20)
- isinstance(number, int) fails to capture other int types HOT 1
- issues with bitFlip-tensor fault type
- Exclude certain operators from injection HOT 1
- Injection into tf.mean runs into an exception sometimes HOT 1
- error in install the TensorFI
- Add the support for float16
- OverflowError: cannnot convert float infinity to integer in faultTypes.py Line 95 HOT 2
- Reshape returning NoneType HOT 1
- 'injectFaultMean' doesn't work
- Unable to execute run on " + str(fiTensor) HOT 3
- Python version support and Windows implementation HOT 1
- py_func Crashes HOT 1
- ERROR:root:Unable to execute run on Tensor("fi_Mean_1:0", dtype=float32) HOT 1
- TypeError: __init__() got an unexpected keyword argument 'fiConf' HOT 1
- TypeError: injectFaultSlice() takes exactly 1 argument (3 given) HOT 1
- Vgg11 dataset not working on python2 HOT 1
- error when the model has tf.cond
- FI Configuration Doubt HOT 8
- BatchNorm and data format. HOT 2
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