4.14. beast_gpu¶
Runs BEAST (v1) on a GPU instance. Use with care–this can be expensive if run incorrectly.
4.14.1. Inputs¶
4.14.1.1. Required inputs¶
beast_gpu.beast.beauti_xml
File — Default: None
???
4.14.1.2. Other inputs¶
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beast_gpu.beast.accelerator_count
Int? — Default: None
[GCP] The number of GPUs of the specified type to use.
beast_gpu.beast.accelerator_type
String? — Default: None
[GCP] The model of GPU to use. For availability and pricing on GCP, see https://cloud.google.com/compute/gpus-pricing#gpus
beast_gpu.beast.beagle_double_precision
Boolean — Default: true
If beagle_double_precision=true, use double-precision calculation (perhaps set to false to gain execution speed if MCMC chain convergence is possible using single-precision calculation).
beast_gpu.beast.beagle_order
String? — Default: None
The order of CPU(0) and GPU(1+) resources used to process partitioned data.
beast_gpu.beast.docker
String — Default: "quay.io/broadinstitute/beast-beagle-cuda:1.10.5pre"
???
beast_gpu.beast.gpu_count
Int? — Default: None
[Terra] The number of GPUs of the specified type to use.
beast_gpu.beast.gpu_type
String? — Default: None
[Terra] The model of GPU to use. For availability and pricing on GCP, see https://support.terra.bio/hc/en-us/articles/4403006001947-Getting-started-with-GPUs-in-a-Cloud-Environment
beast_gpu.beast.vm_size
String? — Default: None
???
4.14.2. Outputs¶
beast_gpu.beast_log
File
???
beast_gpu.beast_stdout
String
???
beast_gpu.ops
Array[File]
???
beast_gpu.rates
Array[File]
???
beast_gpu.root
Array[File]
???
beast_gpu.trees
Array[File]
???
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