mirror of
https://github.com/bulletphysics/bullet3
synced 2024-12-15 14:10:11 +00:00
52 lines
1.1 KiB
Python
52 lines
1.1 KiB
Python
|
import numpy as np
|
||
|
from mpi4py import MPI
|
||
|
|
||
|
ROOT_PROC_RANK = 0
|
||
|
|
||
|
def get_num_procs():
|
||
|
return MPI.COMM_WORLD.Get_size()
|
||
|
|
||
|
def get_proc_rank():
|
||
|
return MPI.COMM_WORLD.Get_rank()
|
||
|
|
||
|
def is_root_proc():
|
||
|
rank = get_proc_rank()
|
||
|
return rank == ROOT_PROC_RANK
|
||
|
|
||
|
def bcast(x):
|
||
|
MPI.COMM_WORLD.Bcast(x, root=ROOT_PROC_RANK)
|
||
|
return
|
||
|
|
||
|
def reduce_sum(x):
|
||
|
return reduce_all(x, MPI.SUM)
|
||
|
|
||
|
def reduce_prod(x):
|
||
|
return reduce_all(x, MPI.PROD)
|
||
|
|
||
|
def reduce_avg(x):
|
||
|
buffer = reduce_sum(x)
|
||
|
buffer /= get_num_procs()
|
||
|
return buffer
|
||
|
|
||
|
def reduce_min(x):
|
||
|
return reduce_all(x, MPI.MIN)
|
||
|
|
||
|
def reduce_max(x):
|
||
|
return reduce_all(x, MPI.MAX)
|
||
|
|
||
|
def reduce_all(x, op):
|
||
|
is_array = isinstance(x, np.ndarray)
|
||
|
x_buf = x if is_array else np.array([x])
|
||
|
buffer = np.zeros_like(x_buf)
|
||
|
MPI.COMM_WORLD.Allreduce(x_buf, buffer, op=op)
|
||
|
buffer = buffer if is_array else buffer[0]
|
||
|
return buffer
|
||
|
|
||
|
def gather_all(x):
|
||
|
is_array = isinstance(x, np.ndarray)
|
||
|
x_buf = np.array([x])
|
||
|
buffer = np.zeros_like(x_buf)
|
||
|
buffer = np.repeat(buffer, get_num_procs(), axis=0)
|
||
|
MPI.COMM_WORLD.Allgather(x_buf, buffer)
|
||
|
buffer = list(buffer)
|
||
|
return buffer
|