Switch to BORG velocity model
This commit is contained in:
Deaglan Bartlett
parent
8728be9b3a
commit
f483a62dda
12 changed files with 147 additions and 98 deletions
4
.gitignore
vendored
4
.gitignore
vendored
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@ -158,3 +158,7 @@ cython_debug/
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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# Borg
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*allocation_stats_0.txt
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*timing_stats_0.txt
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@ -19,7 +19,7 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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HADES likelihood for distance-tracers
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"""
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def __init__(self, fwd: borg.forward.BaseForwardModel, param_model: forwards.NullForward, ini_file: str) -> None:
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def __init__(self, fwd: borg.forward.BaseForwardModel, param_model: forwards.NullForward, fwd_vel: borg.forward.BaseForwardModel, ini_file: str) -> None:
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"""
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Initialises the VelocityBORGLikelihood class
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@ -27,6 +27,7 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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- fwd (borg.forward.BaseForwardModel): The forward model to be used in the likelihood.
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- param_model (forwards.NullForward): An empty forward model for storing model parameters.
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- ini_file (str): The name of the ini file containing the model and borg parameters.
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ADD FW_VEL HERE
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"""
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self.ini_file = ini_file
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@ -80,6 +81,7 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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# Define the forward models
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self.fwd = fwd
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self.fwd_param = param_model
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self.fwd_vel = fwd_vel
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# Initialise model parameters
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model_params = {
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@ -93,12 +95,13 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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# Initialise cosmological parameters
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cpar = utils.get_cosmopar(self.ini_file)
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self.fwd.setCosmoParams(cpar)
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# self.fwd_vel.setCosmoParams(cpar)
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self.fwd_param.setCosmoParams(cpar)
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self.updateCosmology(cpar)
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myprint(f"Original cosmological parameters: {self.fwd.getCosmoParams()}")
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# Initialise derivative
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self.grad_like = jax.grad(self.dens2like)
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self.grad_like = jax.grad(self.dens2like, argnums=(0,1))
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def initializeLikelihood(self, state: borg.likelihood.MarkovState) -> None:
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@ -135,6 +138,7 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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cpar = state['cosmology']
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cpar.omega_q = 1. - cpar.omega_m - cpar.omega_k
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self.fwd.setCosmoParams(cpar)
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# self.fwd_vel.setCosmoParams(cpar)
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self.fwd_param.setCosmoParams(cpar)
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@ -155,6 +159,7 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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cpar.omega_q = 1. - cpar.omega_m - cpar.omega_k
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self.fwd.setCosmoParams(cpar)
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# self.fwd_vel.setCosmoParams(cpar)
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self.fwd_param.setCosmoParams(cpar)
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# Compute growth rate
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@ -218,9 +223,8 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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elif self.run_type == 'velmass':
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raise NotImplementedError
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elif self.run_type == 'mock':
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np.random.seed(self.mock_seed)
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self.coord_true, self.coord_meas, self.sig_mu, self.vr_true, self.cz_obs = \
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mock_maker.borg_mock(s_hat, state, self.fwd, self.ini_file)
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mock_maker.borg_mock(s_hat, state, self.fwd, self.fwd_vel, self.ini_file, seed=self.mock_seed)
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else:
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raise NotImplementedError
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@ -228,7 +232,7 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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self.generateMBData()
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def dens2like(self, output_density: np.ndarray):
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def dens2like(self, output_density: np.ndarray, output_velocity: np.ndarray):
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"""
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Given stored distance tracer data, computes the negative log-likelihood of the data
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for this final density field.
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@ -246,9 +250,10 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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bulk_flow = jnp.array([self.fwd_param.getModelParam('nullforward', 'bulk_flow_x'),
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self.fwd_param.getModelParam('nullforward', 'bulk_flow_y'),
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self.fwd_param.getModelParam('nullforward', 'bulk_flow_z')])
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v = forwards.dens2vel_linear(output_density, self.f,
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self.fwd.getOutputBoxModel().L[0], self.smooth_R)
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v = v + self.bulk_flow.reshape((3, 1, 1, 1))
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# v = forwards.dens2vel_linear(output_density, self.f,
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# self.fwd.getOutputBoxModel().L[0], self.smooth_R)
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# v = v + self.bulk_flow.reshape((3, 1, 1, 1))
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v = output_velocity + self.bulk_flow.reshape((3, 1, 1, 1))
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omega_m = self.fwd.getCosmoParams().omega_m
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@ -298,10 +303,14 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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output_density = np.zeros((N,N,N))
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self.fwd.forwardModel_v2(s_hat)
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self.fwd.getDensityFinal(output_density)
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# Get velocity field
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output_velocity = self.fwd_vel.getVelocityField()
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self.delta = output_density
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self.vel = output_velocity
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L = self.dens2like(output_density)
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L = self.dens2like(output_density, output_velocity)
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myprint(f"var(s_hat): {np.var(s_hat)}, Call to logLike: {L}")
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return L
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@ -326,14 +335,22 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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output_density = np.zeros((N,N,N))
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self.fwd.forwardModel_v2(s_hat)
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self.fwd.getDensityFinal(output_density)
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# Get velocity field
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output_velocity = self.fwd_vel.getVelocityField()
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mygradient = self.grad_like(output_density)
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# getlike(dens, vel)
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mygradient, velgradient = self.grad_like(output_density, output_velocity)
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mygradient = np.array(mygradient, dtype=np.float64)
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vgradient = np.array(velgradient, dtype=np.float64)
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self.fwd_vel.computeAdjointModel(vgradient)
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self.fwd.adjointModel_v2(mygradient)
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mygrad_hat = np.zeros(s_hat.shape, dtype=np.complex128)
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self.fwd.getAdjointModel(mygrad_hat)
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self.fwd.clearAdjointGradient()
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return mygrad_hat
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@ -344,7 +361,7 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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- state (borg.state.State): The state object containing the final density field.
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"""
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self.updateCosmology(self.fwd.getCosmoParams())
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self.dens2like(self.delta)
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self.dens2like(self.delta, self.vel)
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state["BORG_final_density"][:] = self.delta
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@ -422,7 +439,7 @@ def build_gravity_model(state: borg.likelihood.MarkovState, box: borg.forward.Bo
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"""
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global chain, fwd_param
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global chain, fwd_param, fwd_vel
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myprint("Building gravity model")
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if ini_file is None:
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@ -448,7 +465,7 @@ def build_gravity_model(state: borg.likelihood.MarkovState, box: borg.forward.Bo
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if config['model']['gravity'] == 'linear':
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raise NotImplementedError(config['model']['gravity'])
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elif config['model']['gravity'] == 'lpt':
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chain @= borg.forward.model_lib.M_LPT_CIC(
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mod = borg.forward.model_lib.M_LPT_CIC(
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box,
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opts=dict(a_initial=af,
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a_final=af,
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@ -457,7 +474,7 @@ def build_gravity_model(state: borg.likelihood.MarkovState, box: borg.forward.Bo
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lightcone=False,
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part_factor=1.01,))
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elif config['model']['gravity'] == '2lpt':
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chain @= borg.forward.model_lib.M_2LPT_CIC(
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mod = borg.forward.model_lib.M_2LPT_CIC(
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box,
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opts=dict(a_initial=af,
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a_final=af,
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@ -466,7 +483,7 @@ def build_gravity_model(state: borg.likelihood.MarkovState, box: borg.forward.Bo
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lightcone=False,
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part_factor=1.01,))
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elif config['model']['gravity'] == 'pm':
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chain @= borg.forward.model_lib.M_PM_CIC(
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mod = borg.forward.model_lib.M_PM_CIC(
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box,
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opts=dict(a_initial=af,
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a_final=af,
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@ -478,7 +495,7 @@ def build_gravity_model(state: borg.likelihood.MarkovState, box: borg.forward.Bo
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pm_nsteps=int(config['model']['nsteps']),
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tcola=False))
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elif config['model']['gravity'] == 'cola':
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chain @= borg.forward.model_lib.M_PM_CIC(
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mod = borg.forward.model_lib.M_PM_CIC(
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box,
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opts=dict(a_initial=af,
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a_final=af,
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@ -492,6 +509,9 @@ def build_gravity_model(state: borg.likelihood.MarkovState, box: borg.forward.Bo
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else:
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raise NotImplementedError(config['model']['gravity'])
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mod.accumulateAdjoint(True)
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chain @= mod
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# Cosmological parameters
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if ini_file is None:
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cpar = utils.get_cosmopar(borg.getIniConfigurationFilename())
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@ -501,10 +521,13 @@ def build_gravity_model(state: borg.likelihood.MarkovState, box: borg.forward.Bo
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# This is the forward model for the model parameters
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fwd_param = borg.forward.ChainForwardModel(box)
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mod = forwards.NullForward(box)
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fwd_param.addModel(mod)
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mod_null = forwards.NullForward(box)
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fwd_param.addModel(mod_null)
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fwd_param.setCosmoParams(cpar)
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# This is the forward model for velocity
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fwd_vel = borg.forward.velocity.LinearModel(box, mod, af)
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return chain
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@ -512,6 +535,7 @@ def build_gravity_model(state: borg.likelihood.MarkovState, box: borg.forward.Bo
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def build_sampler(
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state: borg.likelihood.MarkovState,
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info: borg.likelihood.LikelihoodInfo,
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loop: borg.samplers.MainLoop
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):
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"""
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Builds the sampler and returns it.
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@ -521,6 +545,7 @@ def build_sampler(
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Args:
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- state (borg.likelihood.MarkovState): The Markov state object to be used in the likelihood.
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- info (borg.likelihood.LikelihoodInfo): The likelihood information.
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ADD LOOP - DEFINE CONDITIONS AND DEPENDENCIES
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Returns:
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List of samplers to use.
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@ -554,11 +579,19 @@ def build_sampler(
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else:
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s = f'Could not find {p} prior and/or default, so will not sample'
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warnings.warn(s, stacklevel=2)
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# Remove for later to prevent duplication
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# Remove for later to prevent duplication
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to_sample.remove(p)
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def myfun(loop):
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return loop.getStepId() > 1000 # put this in ini file
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if len(params) > 0:
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myprint('Adding cosmological parameter sampler')
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all_sampler.append(borg.samplers.ModelParamsSampler(prefix, params, likelihood, chain, initial_values, prior))
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cosmo_sampler = borg.samplers.ModelParamsSampler(prefix, params, likelihood, chain, initial_values, prior)
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cosmo_sampler.setName("cosmo_sampler")
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all_sampler.append(cosmo_sampler)
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loop.addToConditionGroup("warmup_cosmo", "cosmo_sampler")
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loop.addConditionToConditionGroup("warmup_cosmo", partial(myfun, loop))
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# Model parameter sampler
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prefix = ""
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@ -623,5 +656,11 @@ def build_likelihood(state: borg.likelihood.MarkovState, info: borg.likelihood.L
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myprint("Building likelihood")
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myprint(chain.getCosmoParams())
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boxm = chain.getBoxModel()
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likelihood = VelocityBORGLikelihood(chain, fwd_param, borg.getIniConfigurationFilename())
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return likelihood
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likelihood = VelocityBORGLikelihood(chain, fwd_param, fwd_vel, borg.getIniConfigurationFilename())
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return likelihood
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"""
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TO DO
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- samplers.MainLoop - add condition that something begins sampling after some number of steps
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"""
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@ -45,7 +45,7 @@ def radially_scatter(xtrue, frac_sig_x):
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return xmeas, sigma_mu
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def borg_mock(s_hat, state, fwd_model, ini_file):
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def borg_mock(s_hat, state, fwd_model, fwd_vel, ini_file, seed=None):
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config = configparser.ConfigParser()
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config.read(ini_file)
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@ -60,20 +60,15 @@ def borg_mock(s_hat, state, fwd_model, ini_file):
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# Get growth rate
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cosmo = utils.get_cosmopar(ini_file)
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cosmology = borg.cosmo.Cosmology(cosmo)
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af = float(config['model']['af'])
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f = cosmology.gplus(af) # dD / da
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f *= af / cosmology.d_plus(af) # f = dlnD / dlna
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# Get velocity
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smooth_R = float(config['model']['smooth_R'])
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output_vel = forwards.dens2vel_linear(output_density, f,
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fwd_model.getOutputBoxModel().L[0], smooth_R)
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output_vel = fwd_vel.getVelocityField()
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# Add bulk flow
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bulk_flow = np.array(ast.literal_eval(config['model']['bulk_flow']))
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output_vel = output_vel + bulk_flow.reshape((3, 1, 1, 1))
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if seed is not None:
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np.random.seed(seed)
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# Sample positions according to bias model
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bias_epsilon = float(config['model']['bias_epsilon'])
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R_max = float(config['mock']['R_max'])
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@ -31,6 +31,12 @@ random_ic = false
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init_random_scaling = 0.1
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bignum = 1e300
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[hades]
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algorithm = HMC
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max_epsilon = 0.01
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max_timesteps = 50
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mixing = 1
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[model]
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gravity = lpt
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af = 1.0
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@ -74,7 +80,7 @@ NCAT = 0
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NSAMP = 2
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[mock]
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seed = 5
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seed = 123
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R_max = 100
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[python]
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@ -90,4 +96,4 @@ frac_sig_rhMpc = 0.07
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Nt = 230
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muA = 1.0
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alpha = 1.4
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frac_sig_rhMpc = 0.07
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frac_sig_rhMpc = 0.07
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@ -1,19 +1,20 @@
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Memory still allocated at the end: 14.4902 MB
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Memory still allocated at the end: 31.8652 MB
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Statistics per context (name, allocated, freed, peak)
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======================
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*none* 80.4688 0.250069 14.9746
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BORG LPT MODEL 533.774 532.007 14.9902
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*none* 76.2188 0.250069 32.2871
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BORG LPT MODEL 505.495 503.727 32.3027
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BORGForwardModel::setup 0.000160217 0 2.23588
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BorgLptModel::BorgLptModel 1.54688 0 2.23581
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/chain_forward_model.cpp]virtual void LibLSS::ChainForwardModel::forwardModel_v2(LibLSS::detail_input::ModelInput<3>) 240.656 80.2188 15.2402
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LinearModel::getVelocityField 607.75 589.875 33.1465
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/chain_forward_model.cpp]virtual void LibLSS::ChainForwardModel::forwardModel_v2(LibLSS::detail_input::ModelInput<3>) 227.906 75.9688 32.5527
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forward_model.cpp]void LibLSS::BORGForwardModel::setupDefault() 0.53125 0 0.688934
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/borg_lpt.cpp]std::shared_ptr<LibLSS::BORGForwardModel> build_borg_lpt(std::shared_ptr<LibLSS::MPI_Communication>, const LibLSS::BoxModel&, const LibLSS::PropertyProxy&) [with Grid = LibLSS::ClassicCloudInCell<double>; LibLSS::BoxModel = LibLSS::NBoxModel<3>] 0 0 0.157661
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/particle_balancer/balanceinfo.hpp]void LibLSS::BalanceInfo::allocate(LibLSS::MPI_Communication*, size_t) 76.2534 76.0009 14.9902
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/particle_balancer/balanceinfo.hpp]void LibLSS::BalanceInfo::allocate(LibLSS::MPI_Communication*, size_t) 72.2135 71.961 32.3027
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/primordial_as.cpp]std::shared_ptr<LibLSS::BORGForwardModel> build_primordial_as(std::shared_ptr<LibLSS::MPI_Communication>, const LibLSS::BoxModel&, const LibLSS::PropertyProxy&) 0.078804 7.62939e-06 0.0788498
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/transfer_class.cpp]std::shared_ptr<LibLSS::BORGForwardModel> build_class(std::shared_ptr<LibLSS::MPI_Communication>, const LibLSS::BoxModel&, const LibLSS::PropertyProxy&) 0.078804 7.62939e-06 0.157669
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io/base.hpp]void LibLSS::detail_model::ModelIO<Nd>::transfer(LibLSS::detail_model::ModelIO<Nd>&&) [with long unsigned int Nd = 3] 0 235.156 0
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io/base.hpp]void LibLSS::detail_model::ModelIO<Nd>::transfer(LibLSS::detail_model::ModelIO<Nd>&&) [with long unsigned int Nd = 3] 0 222.656 0
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/samplers/core/gridLikelihoodBase.cpp]LibLSS::GridDensityLikelihoodBase<Dims>::GridDensityLikelihoodBase(LibLSS::MPI_Communication*, const GridSizes&, const GridLengths&) [with int Dims = 3; GridSizes = std::array<long unsigned int, 3>; GridLengths = std::array<double, 3>] 0.53125 0.515625 2.76713
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/python/pyforward.cpp]void do_get_density_final(LibLSS::BORGForwardModel*, pybind11::array) 80.2188 75.5 14.9902
|
||||
lpt_ic 80.2188 80.2188 15.2558
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/python/pyforward.cpp]void do_get_density_final(LibLSS::BORGForwardModel*, pybind11::array) 75.9688 71.5 32.3027
|
||||
lpt_ic 75.9688 75.9688 32.5683
|
||||
|
|
|
|||
|
|
@ -8,10 +8,10 @@ import borg_velocity.forwards as forwards
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import borg_velocity.utils as utils
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ini_file = '../conf/basic_ini.ini'
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test_scaling = False
|
||||
test_sigma8 = False
|
||||
test_omegam = False
|
||||
test_alpha = False
|
||||
test_scaling = True
|
||||
test_sigma8 = True
|
||||
test_omegam = True
|
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test_alpha = True
|
||||
test_muA = True
|
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|
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# Input box
|
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|
|
@ -27,7 +27,8 @@ model = likelihood.build_gravity_model(None, box_in, ini_file=ini_file)
|
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cosmo = utils.get_cosmopar(ini_file)
|
||||
model.setCosmoParams(cosmo)
|
||||
fwd_param = forwards.NullForward(box_in)
|
||||
mylike = likelihood.VelocityBORGLikelihood(model, fwd_param, ini_file)
|
||||
fwd_vel = likelihood.fwd_vel
|
||||
mylike = likelihood.VelocityBORGLikelihood(model, fwd_param, fwd_vel, ini_file)
|
||||
|
||||
# Create mock data
|
||||
state = borg.likelihood.MarkovState()
|
||||
|
|
@ -111,7 +112,7 @@ if test_omegam:
|
|||
|
||||
# Test bias model
|
||||
if test_alpha:
|
||||
all_alpha = np.linspace(-1.0, 5.0, 50)
|
||||
all_alpha = np.linspace(-2.0, 5.0, 50)
|
||||
all_lkl = np.empty(all_alpha.shape)
|
||||
for i, alpha in enumerate(all_alpha):
|
||||
mylike.fwd_param.setModelParams({'alpha0':alpha})
|
||||
|
|
@ -135,12 +136,12 @@ if test_alpha:
|
|||
|
||||
# Test bias model
|
||||
if test_muA:
|
||||
all_muA = np.linspace(0.5, 1.5, 50)
|
||||
all_muA = np.linspace(0.95, 1.05, 50)
|
||||
all_lkl = np.empty(all_muA.shape)
|
||||
for i, muA in enumerate(all_muA):
|
||||
mylike.fwd_param.setModelParams({'muA0':muA})
|
||||
mylike.fwd_param.setModelParams({'mua0':muA})
|
||||
all_lkl[i] = mylike.logLikelihoodComplex(s_hat, None)
|
||||
mylike.fwd_param.setModelParams({'muA0':mylike.muA[0]})
|
||||
mylike.fwd_param.setModelParams({'mua0':mylike.muA[0]})
|
||||
fid_lkl = mylike.logLikelihoodComplex(s_hat, None)
|
||||
all_lkl -= fid_lkl
|
||||
all_lkl = np.exp(-all_lkl)
|
||||
|
|
|
|||
|
|
@ -4,48 +4,51 @@ Cumulative timing spent in different context
|
|||
--------------------------------------------
|
||||
Context, Total time (seconds)
|
||||
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/chain_forward_model.cpp]virtual void LibLSS::ChainForwardModel::forwardModel_v2(LibLSS::detail_input::ModelInput<3>) 302 6.31245
|
||||
BORG LPT MODEL 302 5.82636
|
||||
BORG forward model 302 5.80025
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forward_model.cpp]void LibLSS::ForwardModel::setCosmoParams(const LibLSS::CosmologicalParameters&) 29 1.56883
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/borg_lpt.cpp]void LibLSS::BorgLptModel<CIC>::updateCosmo() [with CIC = LibLSS::ClassicCloudInCell<double>] 5 0.710055
|
||||
lightcone computation 1 0.69232
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/cosmo.cpp]void LibLSS::Cosmology::precompute_d_plus() 1 0.603931
|
||||
lpt_ic 302 0.392354
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/lpt/borg_fwd_lpt.cpp]void LibLSS::BorgLptModel<CIC>::getDensityFinal(LibLSS::detail_output::ModelOutput<3>) [with CIC = LibLSS::ClassicCloudInCell<double>] 302 0.321819
|
||||
Classic CIC projection 302 0.256846
|
||||
FFTW_Manager::execute_c2r 906 0.122506
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/transfer_class.cpp]virtual void LibLSS::ForwardClass::updateCosmo() 5 0.0733008
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/class_cosmo.cpp]LibLSS::ClassCosmo::ClassCosmo(const LibLSS::CosmologicalParameters&, unsigned int, double, std::string, unsigned int, const std::map<std::__cxx11::basic_string<char>, std::__cxx11::basic_string<char> >&) 1 0.0726085
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/cosmo.cpp]void LibLSS::Cosmology::precompute_com2a() 1 0.0703289
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/python/pyforward.cpp]void do_get_density_final(LibLSS::BORGForwardModel*, pybind11::array) 302 0.0631881
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/python/pyforward.cpp]void transfer_in(std::shared_ptr<LibLSS::FFTW_Manager<double, 3> >&, T&, U&, bool) [with T = boost::multi_array_ref<std::complex<double>, 3>; U = pybind11::detail::unchecked_reference<std::complex<double>, 3>] 302 0.0370347
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]LibLSS::detail_output::ModelOutputBase<Nd, Super>::~ModelOutputBase() [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 3322 0.0272583
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/chain_forward_model.cpp]virtual void LibLSS::ChainForwardModel::getDensityFinal(LibLSS::detail_output::ModelOutput<3>) 302 0.0215866
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_output::ModelOutputBase<Nd, Super>::transfer(LibLSS::detail_output::ModelOutputBase<Nd, Super>&&) [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 2718 0.0201743
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/particle_balancer/balanceinfo.hpp]void LibLSS::BalanceInfo::allocate(LibLSS::MPI_Communication*, size_t) 302 0.0151142
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io/base.hpp]void LibLSS::detail_model::ModelIO<Nd>::transfer(LibLSS::detail_model::ModelIO<Nd>&&) [with long unsigned int Nd = 3] 6946 0.00685386
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/primordial_as.cpp]virtual void LibLSS::ForwardPrimordial_As::forwardModel_v2(LibLSS::detail_input::ModelInput<3>) 302 0.00566568
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/borg_lpt.cpp]std::shared_ptr<LibLSS::BORGForwardModel> build_borg_lpt(std::shared_ptr<LibLSS::MPI_Communication>, const LibLSS::BoxModel&, const LibLSS::PropertyProxy&) [with Grid = LibLSS::ClassicCloudInCell<double>; LibLSS::BoxModel = LibLSS::NBoxModel<3>] 1 0.00491132
|
||||
BorgLptModel::BorgLptModel 1 0.00483932
|
||||
FFTW_Manager::create_r2c_plan 3 0.00401923
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/transfer_class.cpp]virtual void LibLSS::ForwardClass::forwardModel_v2(LibLSS::detail_input::ModelInput<3>) 302 0.00395206
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/adapt_generic_bias.cpp]void {anonymous}::bias_registrator() 1 0.00265152
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_output::ModelOutputBase<Nd, Super>::close() [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 3322 0.00252739
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forward_model.cpp]void LibLSS::BORGForwardModel::setupDefault() 1 0.00234709
|
||||
FFTW_Manager::create_c2r_plan 2 0.00231646
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/transfer_class.cpp]std::shared_ptr<LibLSS::BORGForwardModel> build_class(std::shared_ptr<LibLSS::MPI_Communication>, const LibLSS::BoxModel&, const LibLSS::PropertyProxy&) 1 0.00229587
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/primordial_as.cpp]std::shared_ptr<LibLSS::BORGForwardModel> build_primordial_as(std::shared_ptr<LibLSS::MPI_Communication>, const LibLSS::BoxModel&, const LibLSS::PropertyProxy&) 1 0.00227005
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/samplers/core/gridLikelihoodBase.cpp]LibLSS::GridDensityLikelihoodBase<Dims>::GridDensityLikelihoodBase(LibLSS::MPI_Communication*, const GridSizes&, const GridLengths&) [with int Dims = 3; GridSizes = std::array<long unsigned int, 3>; GridLengths = std::array<double, 3>] 1 0.00177235
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/class_cosmo.cpp]void LibLSS::ClassCosmo::retrieve_Tk(double) 2 0.00115242
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_output::ModelOutputBase<Nd, Super>::setRequestedIO(LibLSS::PreferredIO) [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 1208 0.00107811
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/class_cosmo.cpp]void LibLSS::ClassCosmo::reinterpolate(const array_ref_1d&, const array_ref_1d&, LibLSS::internal_auto_interp::auto_interpolator<double>&) 6 0.00102937
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/primordial_as.cpp]virtual void LibLSS::ForwardPrimordial_As::updateCosmo() 10 0.0010009
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_input::ModelInputBase<Nd, Super>::setRequestedIO(LibLSS::PreferredIO) [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 906 0.000742612
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/primordial_as.cpp]void LibLSS::ForwardPrimordial_As::updatePower() 5 0.000559304
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_input::ModelInputBase<Nd, Super>::needDestroyInput() [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 302 0.000316937
|
||||
particle distribution 302 0.000287307
|
||||
BORGForwardModel::setup 7 0.000122816
|
||||
Initializing peer system 12 4.3684e-05
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/transfer_class.cpp]virtual void LibLSS::ForwardClass::setModelParams(const LibLSS::ModelDictionnary&) 1 1.2359e-05
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forward_model.cpp]virtual void LibLSS::ForwardModel::setModelParams(const LibLSS::ModelDictionnary&) 1 2.473e-06
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forward_model.cpp]void LibLSS::ForwardModel::setCosmoParams(const LibLSS::CosmologicalParameters&) 439 128.974
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/borg_lpt.cpp]void LibLSS::BorgLptModel<CIC>::updateCosmo() [with CIC = LibLSS::ClassicCloudInCell<double>] 87 59.7371
|
||||
lightcone computation 83 58.2376
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/cosmo.cpp]void LibLSS::Cosmology::precompute_d_plus() 83 50.8567
|
||||
LinearModel::getVelocityField 286 13.1932
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/chain_forward_model.cpp]virtual void LibLSS::ChainForwardModel::forwardModel_v2(LibLSS::detail_input::ModelInput<3>) 286 6.19859
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/cosmo.cpp]void LibLSS::Cosmology::precompute_com2a() 83 5.85109
|
||||
BORG LPT MODEL 286 5.68871
|
||||
BORG forward model 286 5.65939
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/transfer_class.cpp]virtual void LibLSS::ForwardClass::updateCosmo() 87 4.72651
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/class_cosmo.cpp]LibLSS::ClassCosmo::ClassCosmo(const LibLSS::CosmologicalParameters&, unsigned int, double, std::string, unsigned int, const std::map<std::__cxx11::basic_string<char>, std::__cxx11::basic_string<char> >&) 83 4.65339
|
||||
FFTW_Manager::create_c2r_plan 860 1.08067
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/lpt/borg_fwd_lpt.cpp]void LibLSS::BorgLptModel<CIC>::getDensityFinal(LibLSS::detail_output::ModelOutput<3>) [with CIC = LibLSS::ClassicCloudInCell<double>] 572 0.636041
|
||||
Classic CIC projection 572 0.489137
|
||||
lpt_ic 286 0.474278
|
||||
FFTW_Manager::create_r2c_plan 289 0.377194
|
||||
FFTW_Manager::execute_c2r 1716 0.297204
|
||||
FFTW_Manager::destroy_plan 1144 0.0944267
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/class_cosmo.cpp]void LibLSS::ClassCosmo::retrieve_Tk(double) 166 0.0942418
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/class_cosmo.cpp]void LibLSS::ClassCosmo::reinterpolate(const array_ref_1d&, const array_ref_1d&, LibLSS::internal_auto_interp::auto_interpolator<double>&) 498 0.0858865
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/python/pyforward.cpp]void transfer_in(std::shared_ptr<LibLSS::FFTW_Manager<double, 3> >&, T&, U&, bool) [with T = boost::multi_array_ref<std::complex<double>, 3>; U = pybind11::detail::unchecked_reference<std::complex<double>, 3>] 286 0.0699093
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/python/pyforward.cpp]void do_get_density_final(LibLSS::BORGForwardModel*, pybind11::array) 286 0.0698282
|
||||
FFTW_Manager::execute_r2c 286 0.0460398
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/chain_forward_model.cpp]virtual void LibLSS::ChainForwardModel::getDensityFinal(LibLSS::detail_output::ModelOutput<3>) 286 0.0272996
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]LibLSS::detail_output::ModelOutputBase<Nd, Super>::~ModelOutputBase() [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 3432 0.0272375
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/primordial_as.cpp]virtual void LibLSS::ForwardPrimordial_As::updateCosmo() 174 0.0224216
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/particle_balancer/balanceinfo.hpp]void LibLSS::BalanceInfo::allocate(LibLSS::MPI_Communication*, size_t) 286 0.018951
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_output::ModelOutputBase<Nd, Super>::transfer(LibLSS::detail_output::ModelOutputBase<Nd, Super>&&) [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 2574 0.0179214
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/primordial_as.cpp]void LibLSS::ForwardPrimordial_As::updatePower() 87 0.0121461
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io/base.hpp]void LibLSS::detail_model::ModelIO<Nd>::transfer(LibLSS::detail_model::ModelIO<Nd>&&) [with long unsigned int Nd = 3] 6578 0.00613989
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/primordial_as.cpp]virtual void LibLSS::ForwardPrimordial_As::forwardModel_v2(LibLSS::detail_input::ModelInput<3>) 286 0.00534198
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/borg_lpt.cpp]std::shared_ptr<LibLSS::BORGForwardModel> build_borg_lpt(std::shared_ptr<LibLSS::MPI_Communication>, const LibLSS::BoxModel&, const LibLSS::PropertyProxy&) [with Grid = LibLSS::ClassicCloudInCell<double>; LibLSS::BoxModel = LibLSS::NBoxModel<3>] 1 0.00492109
|
||||
BorgLptModel::BorgLptModel 1 0.00485408
|
||||
[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/transfer_class.cpp]virtual void LibLSS::ForwardClass::forwardModel_v2(LibLSS::detail_input::ModelInput<3>) 286 0.00379283
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/transfer_class.cpp]std::shared_ptr<LibLSS::BORGForwardModel> build_class(std::shared_ptr<LibLSS::MPI_Communication>, const LibLSS::BoxModel&, const LibLSS::PropertyProxy&) 1 0.00279151
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/primordial_as.cpp]std::shared_ptr<LibLSS::BORGForwardModel> build_primordial_as(std::shared_ptr<LibLSS::MPI_Communication>, const LibLSS::BoxModel&, const LibLSS::PropertyProxy&) 1 0.00275793
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_output::ModelOutputBase<Nd, Super>::close() [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 3432 0.00244201
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forward_model.cpp]void LibLSS::BORGForwardModel::setupDefault() 1 0.00234473
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/samplers/core/gridLikelihoodBase.cpp]LibLSS::GridDensityLikelihoodBase<Dims>::GridDensityLikelihoodBase(LibLSS::MPI_Communication*, const GridSizes&, const GridLengths&) [with int Dims = 3; GridSizes = std::array<long unsigned int, 3>; GridLengths = std::array<double, 3>] 1 0.00177276
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_output::ModelOutputBase<Nd, Super>::setRequestedIO(LibLSS::PreferredIO) [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 1430 0.00117615
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/adapt_generic_bias.cpp]void {anonymous}::bias_registrator() 1 0.00110666
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_input::ModelInputBase<Nd, Super>::setRequestedIO(LibLSS::PreferredIO) [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 858 0.000657356
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/model_io.cpp]void LibLSS::detail_input::ModelInputBase<Nd, Super>::needDestroyInput() [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 286 0.00030629
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particle distribution 286 0.000249263
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BORGForwardModel::setup 7 0.000130953
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Initializing peer system 13 4.4624e-05
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forwards/transfer_class.cpp]virtual void LibLSS::ForwardClass::setModelParams(const LibLSS::ModelDictionnary&) 1 1.445e-05
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/forward_model.cpp]virtual void LibLSS::ForwardModel::setModelParams(const LibLSS::ModelDictionnary&) 1 3.659e-06
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Add table
Reference in a new issue