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Troubleshooting
Activate the Conda environment before installing. Check that a C++17 compiler, OpenMP, CMake, and BLAS/LAPACK are available. On a cluster, load the compiler module recommended by the site. If CMake selects the wrong BLAS library, use:
CMAKE_ARGS=-DBLA_VENDOR=OpenBLAS python -m pip install .Avoid mixing the base Conda environment's shared libraries with those in the SUMMIT environment. Rebuild after changing the compiler or numerical libraries.
OpenBLAS headers not found; install conda-forge openblas means CMake could not
find the development headers. An environment can contain libopenblas,
libblas, and liblapack while still lacking those headers. Install the
openblas development package in the activated environment and rebuild from
the SUMMIT checkout:
conda activate summit
conda install -c conda-forge "openblas>=0.3.31" llvm-openmp
ls "$CONDA_PREFIX/include/openblas_config.h" "$CONDA_PREFIX/include/cblas.h"
CMAKE_ARGS=-DBLA_VENDOR=OpenBLAS python -m pip install --no-cache-dir .Both header paths should exist before rebuilding. OpenBLAS 0.3.31 or newer is required by native G×E; updating only the runtime or reinstalling with pip does not supply the missing development package. The environment file used in the standard installation supplies the headers and selects OpenBLAS for NumPy.
Install llvm-openmp with conda install -c conda-forge llvm-openmp in the
activated SUMMIT environment, then repeat the build. Apple's compiler also
requires the Xcode Command Line Tools; see Installation.
An editable installation can point at another checkout. Reinstall from the
intended repository with python -m pip install --no-build-isolation -e ..
Use an explicit .bed or .pgen filename. Check that its two companion files
exist. PGEN needs a plain-text PVAR and biallelic diploid variants. The direct
generalized G×E reference executor currently accepts BED only.
Check FID IID strings, SNP order, genome build, and allele definitions. Do not
repair a mismatch by sorting only one file. For one-environment G×E trait batches,
make a shared complete sample set. PGS supports separate trait masks but still
requires each trait's saved scaling and feature definitions.
Most G×E and PGS operations require a new prefix or directory. Choose a new location after a failed run. A PGS directory without its completion marker is incomplete and cannot be loaded as a model.
Look for redundant fixed effects, duplicate annotations, empty bins, or context columns with no variation. More random vectors cannot resolve structural redundancy. Simplify the model or define an appropriate retained context basis.
Read the candidate's reported true residual and termination reason. Check that residual variances are positive and that priors use the original genotype and phenotype scales. More iterations can help a valid slowly converging system; loosening the tolerance changes numerical accuracy and should be recorded.
Reduce --block-size, model/RHS tiles, or batch size. PGS stream mode avoids
retaining the genotype panel. Cached PGEN uses more bytes than cached BED.
A planner cannot guarantee an operating-system RSS ceiling; allow room for
libraries, parsers, and output arrays.
Start here
Analyses
- LD scores
- h² and rg
- Batch analyses
- G×E models
- Multiple environments
- Cross-trait response models
- Binary traits and PCGC
- Polygenic scores
Results and reference