deepmd.tf.entrypoints.compress
Compress a model, which including tabulating the embedding-net. Compress model. Compress model. The table is composed of fifth-order polynomial coefficients and is assembled from two sub-tables. The first table takes the step parameter as the domain’s uniform step size, while the second table takes 10 * step as it’s uniform step size. The range of the first table is automatically detected by the code, while the second table ranges from the first table’s upper boundary(upper) to the extrapolate(parameter) * upper. frozen model file to compress compressed model filename scale of model extrapolation uniform step size of the tabulation’s first table frequency of tabulation overflow check trining checkpoint folder for freezing training script of the input frozen model mpi logging mode for training if speccified log will be written to this file logging level additional argumentsModule Contents
Functions
compress
(*, input, output, extrapolate, step, ...)str
str
int
float
str
str
str
str
Optional
[str
]int