Comments (2)
Thanks for trying out the code! You can download our cross GPU results here. Habitat does not have any hyper parameters that the end user is supposed to tune.
I took a quick look through your results and it seems like your measured execution times are higher than the ones we have in our results. The T4 measurements in particular are around 38% higher than our measurements on average. Are you using your own GPUs, or are you running on cloud GPUs? Do you know if there was any thermal throttling?
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Closing this for now - feel free to reopen to follow up!
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Related Issues (10)
- Fail to build the image HOT 1
- Broken pillow for torchvision in Dockerfile causes docker build failed
- CUPTI_ERROR_INSUFFICIENT_PRIVILEGES in container HOT 1
- How can I make habitat support more devices HOT 7
- I wonder what the meaning of varing kernel is. HOT 6
- How Habitat measures the execution time associated with the operation’s backward pass? HOT 2
- CMake Error at CMakeLists.txt:22 (pybind11_add_module): HOT 1
- error: function cuptiProfilerBeginSession(&begin_session_params) failed with error CUPTI_ERROR_UNKNOWN HOT 4
- Is it possible to provide the code generated by different model variants with different hyperparameter configurations HOT 3
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