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Sep 16, 2020 - Makefile
cuda
Here are 2,474 public repositories matching this topic...
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Oct 11, 2020 - Shell
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Aug 17, 2020 - Python
Problem:
catboost version: 0.23.2
Operating System: all
Tutorial: https://github.com/catboost/tutorials/blob/master/custom_loss/custom_metric_tutorial.md
Impossible to use custom metric (С++).
Code example
from catboost import CatBoost
train_data = [[1, 4, 5, 6],
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Oct 12, 2020 - C++
Improve readability of thread id based branches by giving them more descriptive names.
e.g.
if (!t) // is actually a t == 0and
https://github.com/rapidsai/cudf/blob/57ef76927373d7260b6a0eda781e59a4c563d36e/cpp/src/io/statistics/column_stats.cu#L285
Is actually a lane_id == 0
As demonstrated in rapidsai/cudf#6241 (comment), pr
Current implementation of join can be improved by performing the operation in a single call to the backend kernel instead of multiple calls.
This is a fairly easy kernel and may be a good issue for someone getting to know CUDA/ArrayFire internals. Ping me if you want additional info.
In Windows, with VS2019 16.7.2 (debug mode) and the default thrust provided with CUDA 11 package, I found this problem:
int main()
{
thrust::device_vector<int> gpu;
std::vector<int> cpu;
gpu = cpu; // assertion in debug
}
The code triggers an assertion in vector:46 (standard vector header, provided by Microsoft) coming from `thrus
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Oct 12, 2020 - C++
Report needed documentation
We do not have documentation specifying the different treelite Operator values that FIL supports. (https://github.com/dmlc/treelite/blob/46c8390aed4491ea97a017d447f921efef9f03ef/include/treelite/base.h#L40)
Report needed documentation
https://github.com/rapidsai/cuml/blob/branch-0.15/cpp/test/sg/fil_test.cu
There are multiple places in the fil_test.cu file
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Sep 11, 2018 - C++
I often use -v just to see that something is going on, but a progress bar (enabled by default) would serve the same purpose and be more concise.
We can just factor out the code from futhark bench for this.
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Thank you for this fantastic work!
Could it be possible the fit_transform() method returns the KL divergence of the run?
Thx!
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