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Fix sharding error (#37)
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* Use cosmo as arg for the ODE function

* Update examples

* format

* notebook update

* fix tests

* add correct annotations for weights in painting and warning for cic_paint in distributed pm

* update test_against_fpm

* update distributed tests and add jacfwd jacrev and vmap tests

* format

* add Caveats to notebook readme

* final touches

* update Growth.py to allow using FastPM solver

* fix 2D painting when input is (X , Y , 2) shape

* update cic read halo size and notebooks examples

* Allow env variable control of caching in growth

* Format

* update test jax version

* update notebooks/03-MultiGPU_PM_Halo.ipynb

* update numpy install in wf

* update tolerance :)

* reorganize install in test workflow

* update tests

* add mpi4py

* update tests.yml

* update tests

* update wf

* format

* make normal_field signature consistent with jax.random.normal

* update by default normal_field dtype to match JAX

* format

* debug test workflow

* format

* debug test workflow

* updating tests

* fix accuracy

* fixed tolerance

* adding caching

* Update conftest.py

* Update tolerance and precision settings in distributed PM tests

* revererting back changes to growth.py

---------

Co-authored-by: Francois Lanusse <fr.eiffel@gmail.com>
Co-authored-by: Francois Lanusse <EiffL@users.noreply.github.com>
This commit is contained in:
Wassim KABALAN 2025-06-28 23:07:31 +02:00 • committed by GitHub
parent cb2a7ab17f
commit 6693e5c725
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17 changed files with 675 additions and 298 deletions
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10
notebooks/05-MultiHost_PM.py
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@ -17,9 +17,8 @@ import jax_cosmo as jc
import numpy as np
from diffrax import (ConstantStepSize, Dopri5, LeapfrogMidpoint, ODETerm,
PIDController, SaveAt, diffeqsolve)
from jax.experimental.mesh_utils import create_device_mesh
from jax.experimental.multihost_utils import process_allgather
from jax.sharding import Mesh, NamedSharding
from jax.sharding import NamedSharding
from jax.sharding import PartitionSpec as P
from jaxpm.kernels import interpolate_power_spectrum
@ -78,7 +77,7 @@ def parse_arguments():
def create_mesh_and_sharding(pdims):
devices = create_device_mesh(pdims)
mesh = Mesh(devices, axis_names=('x', 'y'))
mesh = jax.make_mesh(pdims, axis_names=('x', 'y'))
sharding = NamedSharding(mesh, P('x', 'y'))
return mesh, sharding
@ -106,7 +105,10 @@ def run_simulation(omega_c, sigma8, mesh_shape, box_size, halo_size,
sharding=sharding)
ode_fn = ODETerm(
make_diffrax_ode(cosmo, mesh_shape, paint_absolute_pos=False))
make_diffrax_ode(mesh_shape,
paint_absolute_pos=False,
sharding=sharding,
halo_size=halo_size))
# Choose solver
solver = LeapfrogMidpoint() if solver_choice == "leapfrog" else Dopri5()