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How to use get_num_procs method in lisa

Best Python code snippet using lisa_python

mpi_util.py

Source:mpi_util.py

1import numpy as np2from mpi4py import MPI3ROOT_PROC_RANK = 04def get_num_procs():5    return MPI.COMM_WORLD.Get_size()6def get_proc_rank():7    return MPI.COMM_WORLD.Get_rank()8def is_root_proc():9    rank = get_proc_rank()10    return rank == ROOT_PROC_RANK11def bcast(x):12    MPI.COMM_WORLD.Bcast(x, root=ROOT_PROC_RANK)13    return14def reduce_sum(x):15    return reduce_all(x, MPI.SUM)16def reduce_prod(x):17    return reduce_all(x, MPI.PROD)18def reduce_avg(x):19    buffer = reduce_sum(x)20    buffer /= get_num_procs()21    return buffer22def reduce_min(x):23    return reduce_all(x, MPI.MIN)24def reduce_max(x):25    return reduce_all(x, MPI.MAX)26def reduce_all(x, op):27    is_array = isinstance(x, np.ndarray)28    x_buf = x if is_array else np.array([x])29    buffer = np.zeros_like(x_buf)30    MPI.COMM_WORLD.Allreduce(x_buf, buffer, op=op)31    buffer = buffer if is_array else buffer[0]32    return buffer33def gather_all(x):34    is_array = isinstance(x, np.ndarray)35    x_buf = np.array([x])36    buffer = np.zeros_like(x_buf)37    buffer = np.repeat(buffer, get_num_procs(), axis=0)38    MPI.COMM_WORLD.Allgather(x_buf, buffer)39    buffer = list(buffer)...

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