import numpy as np
from mpi4py import MPI
import triqs.utility.mpi as mpi
from [triqs.gf](http://triqs.gf/) import *
if mpi.is_master_node():
g = Gf(mesh=MeshImTime(1., 'Fermion', n_tau=200), target_shape=[1000]*2)
print(f'Size: {g.data.nbytes / 1024**3} GB')
data = g.data
data[:] = 1337
else:
g = Gf(mesh=MeshImTime(1., 'Fermion', n_tau=200), target_shape=[1000]*2)
data = g.data
# Breaks since size(g) = 3 GB, uses python pickle!
#g = mpi.bcast(g)
# Works since Bcast operates on existing buffers (no pickle involved).
data = MPI.COMM_WORLD.Bcast(data)
for rank in range(mpi.size):
if mpi.rank == rank:
print(rank)
print(g)
np.testing.assert_array_almost_equal(g.data, 1337 * np.ones_like(g.data))
mpi.barrier()
Description
See title
Steps to Reproduce
Versions
Current unstable e1adae01c