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### Describe the issue
Not sure if I understood `get_device` wrong, but It should give me the type of device that executed my model, right?
But I tried to use it with different execution providers…
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First of all, thank you for publishing a good paper.
As you mentioned in the issue, the benchmark performance is overall good.
Unfortunately, the weights are not public now, so I am trying to trai…
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### Describe the issue
cuda 10.2
onnx=1.8
onnxruntime-gpu=1.6
For sequnce labeling task (input the token ids, output the start_pos, end_pos), the pytorch use 1.8G, but onnx use 1.9G (although …
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Once a meta-irace tuning is finished, we want to evaluate the tuned irace-configurations and see if results are better than default-irace. We will call that process "meta-irace evaluation". This threa…
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See https://github.com/rqlite/rqlite/discussions/1804
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**Is your feature request related to a problem? Please describe.**
Using the `picamera2` API, I did not find a way to set a maximum shutter time while retaining the AGC algorithm.
**Describe the s…
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For each benchmark run, please include in the results:
- details about tuning config, compiler flags used, etc.
- details about runtime parameters e.g. number of threads used
- any useful output, trac…
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TAU is a full-featured profiler/tracer that provides support for most parallel programming models and platforms, with Kokkos support enabled by default. APEX is a measurement library designed for asyn…
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Since ruby 3.2 there is now an instrumentation API for the GVL. I believe it could be a nice addition to datadog runtime metrics. This should help to understand an application's workload and allow fin…
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[furunkap's request](https://litecointalk.org/index.php?topic=13190.msg99513#msg99513)
> I would like to be able to set all tuning aspects remotely, such as worksize, lookup-gap, thread-concurrency, …
veox updated
10 years ago