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