Comments (3)
Thanks for your interest in Habitat!
Can you clarify what you mean exactly by "code generated by different model variants"?
from habitat.
It's the code that collects the dataset. For networks with different configurations (different kernel size, batch size , channel size, etc.), how their execution time label are collected
from habitat.
The code we used to collect the training data is under the tools/recording/
subdirectory. For example, you can see how the Conv2d
training data was collected here. You should be able to modify that code if you want to collect training data for a different operation or with different configurations.
from habitat.
Related Issues (10)
- Fail to build the image HOT 1
- Large Prediction Errors HOT 2
- 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
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