tensorflow / tensorflow/privacy
tensorflow.python.framework.errors_impl.InvalidArgumentError
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Description
Traceback (most recent call last):
File "D:\Anaconda2\envs\tf1\lib\site-packages\tensorflow_core\python\framework\ops.py", line 1607, in _create_c_op
c_op = c_api.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension size must be evenly divisible by 250 but is 1 for 'training/Reshape' (op: 'Reshape') with input shapes: [], [2] and with input tensors computed as partial s
how can i sovle it ,thanks
Yes that issue is known to the recent version of TensorFlow-privacy. When I checked in way in Feb, it was running fine, we need to raise this issue with TensorFlow-privacy..
https://hackernoon.com/differential-privacy-with-tensorflow-20-multi-class-text-classification-privacy-yk7a37uh.
here, the code snippets and results are attached..
I doubt it was the version problem？
thanks
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the traceback and the attached code snippets and results, then identify the TensorFlow and TensorFlow Privacy versions used in the Anaconda environment. Reproduce the training/Reshape failure and document the minimal cause or version change that resolves it.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100