mirror of
https://github.com/DifferentiableUniverseInitiative/JaxPM.git
synced 2025-04-08 04:40:53 +00:00
Use new cic_paint with halo
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parent
5775a37550
commit
7501b5bc6d
2 changed files with 77 additions and 36 deletions
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@ -10,12 +10,27 @@ except ImportError:
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print("jaxdecomp not installed. Distributed functions will not work.")
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print("jaxdecomp not installed. Distributed functions will not work.")
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distributed = False
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distributed = False
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from functools import partial
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import jax
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import jax.numpy as jnp
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import jax.numpy as jnp
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from jax._src import mesh as mesh_lib
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from jax._src import mesh as mesh_lib
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from jax.experimental.shard_map import shard_map
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from jax.experimental.shard_map import shard_map
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from functools import partial
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from jax.sharding import PartitionSpec as P
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from jax.sharding import PartitionSpec as P
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# NOTE
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# This should not be used as a decorator
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# Must be used inside a function only
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# Example
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# BAD
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# @autoshmap
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# def foo():
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# pass
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# GOOD
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# def foo():
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# return autoshmap(foo_impl)()
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def autoshmap(f: Callable,
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def autoshmap(f: Callable,
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in_specs: Specs,
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in_specs: Specs,
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out_specs: Specs,
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out_specs: Specs,
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@ -34,31 +49,43 @@ def fft3d(x):
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if distributed and not (mesh_lib.thread_resources.env.physical_mesh.empty):
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if distributed and not (mesh_lib.thread_resources.env.physical_mesh.empty):
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return jaxdecomp.pfft3d(x.astype(jnp.complex64))
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return jaxdecomp.pfft3d(x.astype(jnp.complex64))
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else:
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else:
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return jnp.fft.rfftn(x)
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return jnp.fft.fftn(x.astype(jnp.complex64))
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def ifft3d(x):
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def ifft3d(x):
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if distributed and not (mesh_lib.thread_resources.env.physical_mesh.empty):
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if distributed and not (mesh_lib.thread_resources.env.physical_mesh.empty):
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return jaxdecomp.pifft3d(x).real
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return jaxdecomp.pifft3d(x).real
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else:
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else:
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return jnp.fft.irfftn(x)
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return jnp.fft.ifftn(x).real
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def halo_exchange(x):
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if distributed and not (mesh_lib.thread_resources.env.physical_mesh.empty):
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def get_halo_size(halo_size):
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return jaxdecomp.halo_exchange(x)
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mesh = mesh_lib.thread_resources.env.physical_mesh
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if mesh.empty:
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zero_ext = (0, 0, 0)
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zero_tuple = (0, 0)
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return (zero_tuple, zero_tuple, zero_tuple), zero_ext
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else:
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pdims = mesh.devices.shape
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halo_x = (0, 0) if pdims[0] == 1 else (halo_size, halo_size)
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halo_y = (0, 0) if pdims[1] == 1 else (halo_size, halo_size)
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halo_x_ext = 0 if pdims[0] == 1 else halo_size // 2
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halo_y_ext = 0 if pdims[1] == 1 else halo_size // 2
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return ((halo_x, halo_y, (0, 0)), (halo_x_ext, halo_y_ext, 0))
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def halo_exchange(x, halo_extents, halo_periods=(True, True, True)):
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mesh = mesh_lib.thread_resources.env.physical_mesh
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if distributed and not (mesh.empty) and (halo_extents[0] > 0
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or halo_extents[1] > 0):
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return jaxdecomp.halo_exchange(x, halo_extents, halo_periods)
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else:
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else:
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return x
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return x
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@partial(autoshmap,
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in_specs=(P('x', 'y'), P()),
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out_specs=P('x', 'y'))
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def slice_pad_impl(x, pad_width):
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return jnp.pad(x, pad_width)
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@partial(autoshmap,
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in_specs=(P('x', 'y'), P()),
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out_specs=P('x', 'y'))
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def slice_unpad_impl(x, pad_width):
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def slice_unpad_impl(x, pad_width):
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halo_x, _ = pad_width[0]
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halo_x, _ = pad_width[0]
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halo_y, _ = pad_width[0]
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halo_y, _ = pad_width[0]
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@ -68,17 +95,28 @@ def slice_unpad_impl(x, pad_width):
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# Apply corrections along y
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# Apply corrections along y
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x = x.at[:, halo_y:halo_y + halo_y // 2].add(x[:, :halo_y // 2])
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x = x.at[:, halo_y:halo_y + halo_y // 2].add(x[:, :halo_y // 2])
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x = x.at[:, -(halo_y + halo_y // 2):-halo_y].add(x[:, -halo_y // 2:])
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x = x.at[:, -(halo_y + halo_y // 2):-halo_y].add(x[:, -halo_y // 2:])
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return x
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return x[halo_x:-halo_x, halo_y:-halo_y, :]
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def slice_pad(x, pad_width):
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def slice_pad(x, pad_width):
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if distributed and not (mesh_lib.thread_resources.env.physical_mesh.empty):
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mesh = mesh_lib.thread_resources.env.physical_mesh
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return slice_pad_impl(x, pad_width)
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if distributed and not (mesh.empty) and (pad_width[0][0] > 0
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or pad_width[1][0] > 0):
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return autoshmap((partial(jnp.pad, pad_width=pad_width)),
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in_specs=(P('x', 'y')),
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out_specs=P('x', 'y'))(x)
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else:
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else:
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return x
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return x
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def slice_unpad(x, pad_width):
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def slice_unpad(x, pad_width):
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if distributed and not (mesh_lib.thread_resources.env.physical_mesh.empty):
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mesh = mesh_lib.thread_resources.env.physical_mesh
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return slice_unpad_impl(x, pad_width)
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if distributed and not (mesh.empty) and (pad_width[0][0] > 0
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or pad_width[1][0] > 0):
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return autoshmap(partial(slice_unpad_impl, pad_width=pad_width),
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in_specs=(P('x', 'y')),
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out_specs=P('x', 'y'))(x)
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else:
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else:
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return x
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return x
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29
jaxpm/pm.py
29
jaxpm/pm.py
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@ -9,10 +9,10 @@ from jaxpm.distributed import autoshmap, fft3d, get_local_shape, ifft3d
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from jaxpm.growth import dGfa, growth_factor, growth_rate
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from jaxpm.growth import dGfa, growth_factor, growth_rate
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from jaxpm.kernels import (PGD_kernel, fftk, gradient_kernel, laplace_kernel,
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from jaxpm.kernels import (PGD_kernel, fftk, gradient_kernel, laplace_kernel,
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longrange_kernel)
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longrange_kernel)
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from jaxpm.painting import cic_paint, cic_read
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from jaxpm.painting import cic_paint, cic_paint_dx, cic_read, cic_read_dx
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def pm_forces(positions, mesh_shape=None, delta=None, r_split=0):
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def pm_forces(positions, mesh_shape=None, delta=None, r_split=0, halo_size=0):
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"""
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"""
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Computes gravitational forces on particles using a PM scheme
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Computes gravitational forces on particles using a PM scheme
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"""
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"""
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@ -21,7 +21,7 @@ def pm_forces(positions, mesh_shape=None, delta=None, r_split=0):
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kvec = fftk(mesh_shape)
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kvec = fftk(mesh_shape)
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if delta is None:
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if delta is None:
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delta_k = fft3d(cic_paint(jnp.zeros(mesh_shape), positions))
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delta_k = fft3d(cic_paint_dx(positions, halo_size=0))
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else:
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else:
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delta_k = fft3d(delta)
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delta_k = fft3d(delta)
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@ -29,26 +29,28 @@ def pm_forces(positions, mesh_shape=None, delta=None, r_split=0):
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pot_k = delta_k * laplace_kernel(kvec) * longrange_kernel(kvec,
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pot_k = delta_k * laplace_kernel(kvec) * longrange_kernel(kvec,
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r_split=r_split)
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r_split=r_split)
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# Computes gravitational forces
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# Computes gravitational forces
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return jnp.stack([
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forces = jnp.stack([
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cic_read(ifft3d(gradient_kernel(kvec, i) * pot_k), positions)
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cic_read_dx(ifft3d(gradient_kernel(kvec, i) * pot_k), halo_size=0)
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for i in range(3)
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for i in range(3)
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],
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],
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axis=-1)
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axis=-1)
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return forces
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def lpt(cosmo, initial_conditions, a, particles_shape=None):
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def lpt(cosmo, initial_conditions, a, halo_size=0):
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"""
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"""
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Computes first order LPT displacement
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Computes first order LPT displacement
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"""
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"""
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if particles_shape is None:
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local_mesh_shape = get_local_shape(initial_conditions.shape) + (3, )
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particles_shape = initial_conditions.shape
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local_mesh_shape = get_local_shape(particles_shape)
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displacement = autoshmap(
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displacement = autoshmap(
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partial(jnp.zeros, shape=local_mesh_shape+[3], dtype='float32'),
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partial(jnp.zeros, shape=(local_mesh_shape), dtype='float32'),
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in_specs=(),
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in_specs=(),
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out_specs=P('x', 'y'))() # yapf: disable
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out_specs=P('x', 'y'))() # yapf: disable
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initial_force = pm_forces(displacement, delta=initial_conditions)
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initial_force = pm_forces(displacement,
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delta=initial_conditions,
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halo_size=halo_size)
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a = jnp.atleast_1d(a)
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a = jnp.atleast_1d(a)
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dx = growth_factor(cosmo, a) * initial_force
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dx = growth_factor(cosmo, a) * initial_force
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p = a**2 * growth_rate(cosmo, a) * jnp.sqrt(jc.background.Esqr(cosmo,
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p = a**2 * growth_rate(cosmo, a) * jnp.sqrt(jc.background.Esqr(cosmo,
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@ -80,7 +82,7 @@ def linear_field(mesh_shape, box_size, pk, seed):
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return field
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return field
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def make_ode_fn(mesh_shape):
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def make_ode_fn(mesh_shape, halo_size=0):
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def nbody_ode(state, a, cosmo):
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def nbody_ode(state, a, cosmo):
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"""
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"""
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@ -88,7 +90,8 @@ def make_ode_fn(mesh_shape):
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"""
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"""
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pos, vel = state
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pos, vel = state
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forces = pm_forces(pos, mesh_shape=mesh_shape) * 1.5 * cosmo.Omega_m
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forces = pm_forces(pos, mesh_shape=mesh_shape,
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halo_size=halo_size) * 1.5 * cosmo.Omega_m
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# Computes the update of position (drift)
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# Computes the update of position (drift)
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dpos = 1. / (a**3 * jnp.sqrt(jc.background.Esqr(cosmo, a))) * vel
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dpos = 1. / (a**3 * jnp.sqrt(jc.background.Esqr(cosmo, a))) * vel
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