v1.2.0
New features of dp train:
- Polarizability and dipole fitting
- If provided with
stop_lr, thedecay_ratewill be computed automatically - Support non-pbc system: add an empty file named nopbc to the data system.
- Use envs
TF_INTRA_OP_PARALLELISM_THREADSandTF_INTER_OP_PARALLELISM_THREADSto control the multi-threading of tf, clean up command line options. - When the key
systemsis provided with a string, all possible systems will be recursively searched within the dir given bysystems - User specific atomic energy.
- Exclude types when building descriptors.
- User specific activation function and network precision.
- Transform neural network parameters.
New features of dp test:
- Recursively search all possible systems in a directory.
- Weighted average of test results
Bug fixings:
- Cuda version compatibility
- raw_to_set when nframe == 1
- Slow test when testing multiple systems
- Potentially wrong neighbor list when number of neighbors is larger than 256.
- Fix bug #163 : broken lib link of dp_ipi
- Infering number of types from data