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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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5
tests/test_gradients.py
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@ -39,7 +39,7 @@ def test_nbody_grad(simulation_config, initial_conditions, lpt_scale_factor,
particles,
a=lpt_scale_factor,
order=order)
ode_fn = ODETerm(make_diffrax_ode(cosmo, mesh_shape))
ode_fn = ODETerm(make_diffrax_ode(mesh_shape))
y0 = jnp.stack([particles + dx, p])
else:
@ -48,7 +48,7 @@ def test_nbody_grad(simulation_config, initial_conditions, lpt_scale_factor,
a=lpt_scale_factor,
order=order)
ode_fn = ODETerm(
make_diffrax_ode(cosmo, mesh_shape, paint_absolute_pos=False))
make_diffrax_ode(mesh_shape, paint_absolute_pos=False))
y0 = jnp.stack([dx, p])
solver = Dopri5()
@ -66,6 +66,7 @@ def test_nbody_grad(simulation_config, initial_conditions, lpt_scale_factor,
t1=1.0,
dt0=None,
y0=y0,
args=cosmo,
adjoint=adjoint,
stepsize_controller=controller,
saveat=saveat)