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For some benchmarks like correlation and covariance, the initialization of the matrix is a symmetric matrix. This unfortunately validates incorrect implementations for the benchmarks. Is there any specific reason for initializing the matrices as symmetric in the way they currently are?
On experimenting with random initialization, I found that they were less susceptible to validating wrong implementations for the benchmarks.
Happy to put in a PR addressing this.
The text was updated successfully, but these errors were encountered:
For some benchmarks like correlation and covariance, the initialization of the matrix is a symmetric matrix. This unfortunately validates incorrect implementations for the benchmarks. Is there any specific reason for initializing the matrices as symmetric in the way they currently are?
On experimenting with random initialization, I found that they were less susceptible to validating wrong implementations for the benchmarks.
Happy to put in a PR addressing this.
The text was updated successfully, but these errors were encountered: