Final group project for EECS 545, Machine Learning
The Swift Programming Language
TensorFlow's Visualization Toolkit
Computation using data flow graphs for scalable machine learning
Sorry for the delayed response.
Eager internally has 2 paths (and you've found a place where they don't agree - a discrepancy I will remove soon).
Unfortunately, this means removing the behavior of being 278 is unfortunately going to go away in eager, and all the above cases will return 178.
As suggested by @yongtang, the best thing to do is to convert the numpy array to a tensor explicitly.
comment created time in 3 months
I can reproduce this on 2.0. @saxenasaurabh can you please help take a look?
comment created time in 4 months
PR opened tensorflow/tensorflow
This fixes a memory leak in tf.clip_by_global_norm in eager mode.
pr created time in 5 months