Mayank Roy
Mayank Roy
I'm also seeing this warning with TF2.1.0 but with TRT7, a frozen_graph and only for INT8 with resnet50. I'm getting decent accuracy as well so I think it is a...
@pooyadavoodi Any guidance here would be helpful :)
Thanks @pooyadavoodi . Your suggestion worked and I was able to succesfully run the synthetic test for batch size 128. However, when I tried to run it next for batch...
@pooyadavoodi @aaroey Any ideas for above?
I've been able to clear a few of the above errors and now I'm able to get it working for even batch sizes using the models from the r1.14+ branch...
I updated https://github.com/tensorflow/tensorflow/issues/36724 with new comments for the bug I have raised there.
@vdevaram You can solve your issue by providing this argument `--minimum_segment_size 3` when you make your run. I have already opened a bug related to this at tensorflow. The default...
The problem you are facing is that the function you are using has been modified in TF1.14 and isn't available in that form. To get the speedups or just to...
@parthdhameliya, the reason why I was telling you to shift to TF1.14( or TF1.15 )is because they are the ones with the best support with TensorRT as well as the...
Check `test.py` inside `tensorrt/tftrt/examples/object_detection`, the function which reads the .json file is being called from there. You can modify the .json file according to your requirement and for your models.