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The nativeSpecification parameter here is DRMAA implementation independent. This means it breaks on LSF, which the cluster is switching too. However this was used to specify the number of cores. Removing it would break the existing configuration files. However it is already broken in its current form. The most reasonable fix would probably be to allow an optional nativeSpecification parameter that would be user specified. In addition, if the number of DRMAA cores is 1, we should leave the nativeSpecification blank as it already seems to do the right thing in that case.
The nativeSpecification parameter here is DRMAA implementation independent. This means it breaks on LSF, which the cluster is switching too. However this was used to specify the number of cores. Removing it would break the existing configuration files. However it is already broken in its current form. The most reasonable fix would probably be to allow an optional nativeSpecification parameter that would be user specified. In addition, if the number of DRMAA cores is 1, we should leave the nativeSpecification blank as it already seems to do the right thing in that case.
ref: https://github.com/nanshe-org/nanshe/blob/v0.1.0a59/nanshe/learner.py#L598
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