Add some likelihood tests
This commit is contained in:
Deaglan Bartlett
parent
17f9099e55
commit
8728be9b3a
11 changed files with 229 additions and 9 deletions
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@ -50,6 +50,9 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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# What type of run we're doing
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self.run_type = config['run']['run_type']
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# Seed if creating mocks
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self.mock_seed = int(config['mock']['seed'])
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# Model parameters
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self.ai = float(config['model']['ai'])
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self.af = float(config['model']['af'])
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@ -198,7 +201,7 @@ class VelocityBORGLikelihood(borg.likelihood.BaseLikelihood):
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self.MB_pos[i] = jnp.transpose(self.MB_pos[i], (2, 1, 0))
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def generateMockData(self, s_hat: np.ndarray, state: borg.likelihood.MarkovState, make_plot: bool=True) -> None:
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def generateMockData(self, s_hat: np.ndarray, state: borg.likelihood.MarkovState,) -> None:
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"""
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Generates mock data by simulating the forward model with the given white noise,
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drawing distance tracers from the density field, computing their distance
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@ -215,6 +218,7 @@ 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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else:
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@ -74,19 +74,20 @@ NCAT = 0
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NSAMP = 2
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[mock]
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seed = 5
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R_max = 100
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[python]
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likelihood_path = /home/bartlett/fsigma8/borg_velocity/borg_velocity/likelihood.py
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[sample_0]
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Nt = 345
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Nt = 160
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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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[sample_1]
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Nt = 1682
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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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BIN
figs/alpha_test.png
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figs/alpha_test.png
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figs/muA_test.png
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figs/muA_test.png
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figs/omegam_test.png
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figs/omegam_test.png
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figs/scaling_test.png
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figs/scaling_test.png
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After Width: | Height: | Size: 20 KiB |
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figs/sigma8_test.png
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figs/sigma8_test.png
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After Width: | Height: | Size: 21 KiB |
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@ -1,5 +1,19 @@
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Memory still allocated at the end: 0 MB
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Memory still allocated at the end: 14.4902 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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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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[/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/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
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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&) 0.078804 7.62939e-06 0.157669
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[/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
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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>] 0.53125 0.515625 2.76713
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[/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
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lpt_ic 80.2188 80.2188 15.2558
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@ -1,18 +1,18 @@
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(fftw-3.3.10 fftw_wisdom #x3c273403 #x192df114 #x4d08727c #xe98e9b9d
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x21347a5d #x286e0d10 #xabf9ff02 #xccdf80a5)
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #xe7f77f6a #xaf2de8b8 #xad19bc70 #x80305f29)
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(fftw_codelet_n1bv_32_avx 0 #x10bdd #x10bdd #x0 #x6d197f20 #xfc9cbd23 #x91ddb367 #x208619cb)
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x1f2e97fe #x61895cd8 #x6073a2f5 #x6ada2663)
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x84033142 #x81339a41 #xb78a491e #x66362e05)
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x0ac209ed #x737616a2 #xc31f0ad8 #x13c3716f)
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(fftw_rdft2_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x40ffeb6f #x4d232a35 #x49c61e65 #x4d75fa83)
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(fftw_codelet_n1bv_32_avx 0 #x10bdd #x10bdd #x0 #x35d0d312 #x6b498ae1 #x1ddcffdc #x4a1a1998)
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #xbffceb36 #x5b340e87 #xc2433c88 #x10e155b2)
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(fftw_rdft2_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x7ec9785e #x02957b55 #xab1017dc #xdcd04ed7)
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(fftw_codelet_r2cf_32 2 #x10bdd #x10bdd #x0 #xe5219ff5 #x7cc0cc2f #x9ce07377 #x12d27b02)
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #xd78cc60c #x6e1210c6 #x5868829d #x70ada990)
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(fftw_codelet_r2cf_32 2 #x10bdd #x10bdd #x0 #x68269cfc #xb89b69b3 #x4eaad8fa #x9807c679)
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(fftw_rdft2_rank_geq2_register 0 #x10bdd #x10bdd #x0 #x7446ec55 #x3f800a5f #xba25afcf #xc0e9d5c1)
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x0ac209ed #x737616a2 #xc31f0ad8 #x13c3716f)
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(fftw_dft_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x4b54e3ca #x4f94ebf3 #x244f4da3 #x2412ca79)
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(fftw_rdft2_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x7ec9785e #x02957b55 #xab1017dc #xdcd04ed7)
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(fftw_rdft2_rank_geq2_register 0 #x10bdd #x10bdd #x0 #x68900aea #xb640ce9e #xcd3b0e06 #x8170fa63)
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(fftw_dft_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x404fdd72 #x2323d034 #xc860c577 #x4779492a)
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(fftw_rdft2_rank_geq2_register 0 #x10bdd #x10bdd #x0 #x3c2e2a1a #x07c08954 #x35c337d9 #x80864862)
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@ -24,5 +24,5 @@
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #xe0a3b250 #xab7e7c07 #xf0935dde #x1568a95f)
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(fftw_codelet_r2cb_32 2 #x10bdd #x10bdd #x0 #x4e6e3714 #xebce55aa #x0ede5253 #x4faf4524)
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(fftw_codelet_n1bv_32_sse2 0 #x10bdd #x10bdd #x0 #x902cd310 #xa659999d #x6fde2637 #xb23e4fd2)
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(fftw_dft_thr_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x21347a5d #x286e0d10 #xabf9ff02 #xccdf80a5)
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(fftw_dft_vrank_geq1_register 0 #x10bdd #x10bdd #x0 #x4b54e3ca #x4f94ebf3 #x244f4da3 #x2412ca79)
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)
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157
tests/test_likelihood.py
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157
tests/test_likelihood.py
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@ -0,0 +1,157 @@
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import aquila_borg as borg
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import configparser
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import numpy as np
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import matplotlib.pyplot as plt
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import borg_velocity.likelihood as likelihood
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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
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test_sigma8 = False
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test_omegam = False
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test_alpha = False
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test_muA = True
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# Input box
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box_in = borg.forward.BoxModel()
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config = configparser.ConfigParser()
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config.read(ini_file)
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box_in.L = (float(config['system']['L0']), float(config['system']['L1']), float(config['system']['L2']))
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box_in.N = (int(config['system']['N0']), int(config['system']['N1']), int(config['system']['N2']))
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box_in.xmin = (float(config['system']['corner0']), float(config['system']['corner1']), float(config['system']['corner2']))
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# Setup BORG forward model and likelihood
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model = likelihood.build_gravity_model(None, box_in, ini_file=ini_file)
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cosmo = utils.get_cosmopar(ini_file)
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model.setCosmoParams(cosmo)
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fwd_param = forwards.NullForward(box_in)
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mylike = likelihood.VelocityBORGLikelihood(model, fwd_param, ini_file)
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# Create mock data
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state = borg.likelihood.MarkovState()
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mylike.initializeLikelihood(state)
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mylike.updateCosmology(cosmo)
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s_hat = np.fft.rfftn(np.random.randn(*box_in.N)) / box_in.Ntot ** (0.5)
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mylike.generateMockData(s_hat, state)
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if test_scaling:
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all_scale = np.linspace(0.5, 1.5, 100)
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all_lkl = np.empty(all_scale.shape)
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for i, scale in enumerate(all_scale):
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all_lkl[i] = mylike.logLikelihoodComplex(scale * s_hat, None)
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fid_lkl = mylike.logLikelihoodComplex(s_hat, None)
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all_lkl -= fid_lkl
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all_lkl = np.exp(-all_lkl)
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fig, ax = plt.subplots(1, 1, figsize=(5,5))
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ax.plot(all_scale, all_lkl)
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ax.axhline(y=0, color='k')
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ax.axvline(x=1, color='k')
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ax.set_xlabel(r'$\hat{s}$ scaling')
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ax.set_ylabel(r'$\mathcal{L}$')
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fig.tight_layout()
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fig.savefig('../figs/scaling_test.png')
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fig.clf()
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plt.close(fig)
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# Test sigma8
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if test_sigma8:
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all_sigma8 = np.linspace(0.5, 1.2, 40)
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all_lkl = np.empty(all_sigma8.shape)
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cosmo_true = mylike.fwd.getCosmoParams()
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cosmo = mylike.fwd.getCosmoParams()
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for i, sigma8 in enumerate(all_sigma8):
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cosmo.sigma8 = sigma8
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mylike.updateCosmology(cosmo)
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all_lkl[i] = mylike.logLikelihoodComplex(s_hat, None)
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mylike.updateCosmology(cosmo_true)
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fid_lkl = mylike.logLikelihoodComplex(s_hat, None)
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all_lkl -= fid_lkl
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all_lkl = np.exp(-all_lkl)
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fig, ax = plt.subplots(1, 1, figsize=(5,5))
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ax.plot(all_sigma8, all_lkl)
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ax.axhline(y=0, color='k')
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ax.axvline(x=cosmo_true.sigma8, color='k')
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ax.set_xlabel(r'$\sigma_8$')
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ax.set_ylabel(r'$\mathcal{L}$')
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fig.tight_layout()
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fig.savefig('../figs/sigma8_test.png')
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fig.clf()
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plt.close(fig)
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# Test sigma8
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if test_omegam:
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all_omegam = np.linspace(0.1, 0.6, 40)
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all_lkl = np.empty(all_omegam.shape)
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cosmo_true = mylike.fwd.getCosmoParams()
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cosmo = mylike.fwd.getCosmoParams()
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for i, omegam in enumerate(all_omegam):
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cosmo.omega_m = omegam
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mylike.updateCosmology(cosmo)
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all_lkl[i] = mylike.logLikelihoodComplex(s_hat, None)
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mylike.updateCosmology(cosmo_true)
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fid_lkl = mylike.logLikelihoodComplex(s_hat, None)
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all_lkl -= fid_lkl
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all_lkl = np.exp(-all_lkl)
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fig, ax = plt.subplots(1, 1, figsize=(5,5))
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ax.plot(all_omegam, all_lkl)
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ax.axhline(y=0, color='k')
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ax.axvline(x=cosmo_true.omega_m, color='k')
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ax.set_xlabel(r'$\Omega_{\rm m}$')
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ax.set_ylabel(r'$\mathcal{L}$')
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fig.tight_layout()
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fig.savefig('../figs/omegam_test.png')
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fig.clf()
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plt.close(fig)
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# Test bias model
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if test_alpha:
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all_alpha = np.linspace(-1.0, 5.0, 50)
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all_lkl = np.empty(all_alpha.shape)
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for i, alpha in enumerate(all_alpha):
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mylike.fwd_param.setModelParams({'alpha0':alpha})
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all_lkl[i] = mylike.logLikelihoodComplex(s_hat, None)
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mylike.fwd_param.setModelParams({'alpha0':mylike.alpha[0]})
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fid_lkl = mylike.logLikelihoodComplex(s_hat, None)
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all_lkl -= fid_lkl
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all_lkl = np.exp(-all_lkl)
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fig, ax = plt.subplots(1, 1, figsize=(5,5))
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ax.plot(all_alpha, all_lkl)
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ax.axhline(y=0, color='k')
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ax.axvline(x=mylike.alpha[0], color='k')
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ax.set_xlabel(r'$\alpha_0$')
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ax.set_ylabel(r'$\mathcal{L}$')
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fig.tight_layout()
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fig.savefig('../figs/alpha_test.png')
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fig.clf()
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plt.close(fig)
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# Test bias model
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if test_muA:
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all_muA = np.linspace(0.5, 1.5, 50)
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all_lkl = np.empty(all_muA.shape)
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for i, muA in enumerate(all_muA):
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mylike.fwd_param.setModelParams({'muA0':muA})
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all_lkl[i] = mylike.logLikelihoodComplex(s_hat, None)
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mylike.fwd_param.setModelParams({'muA0':mylike.muA[0]})
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fid_lkl = mylike.logLikelihoodComplex(s_hat, None)
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all_lkl -= fid_lkl
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all_lkl = np.exp(-all_lkl)
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fig, ax = plt.subplots(1, 1, figsize=(5,5))
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ax.plot(all_muA, all_lkl)
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ax.axhline(y=0, color='k')
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ax.axvline(x=mylike.muA[0], color='k')
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ax.set_xlabel(r'$\mu_0$')
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ax.set_ylabel(r'$\mathcal{L}$')
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fig.tight_layout()
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fig.savefig('../figs/muA_test.png')
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fig.clf()
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plt.close(fig)
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@ -4,4 +4,48 @@ Cumulative timing spent in different context
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--------------------------------------------
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Context, Total time (seconds)
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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 0.000723925
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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>) 302 6.31245
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BORG LPT MODEL 302 5.82636
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BORG forward model 302 5.80025
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[/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
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[/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
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lightcone computation 1 0.69232
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/cosmo.cpp]void LibLSS::Cosmology::precompute_d_plus() 1 0.603931
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lpt_ic 302 0.392354
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[/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
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Classic CIC projection 302 0.256846
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FFTW_Manager::execute_c2r 906 0.122506
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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::updateCosmo() 5 0.0733008
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[/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
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[/build/jenkins/miniconda3/envs/builder/conda-bld/aquila_borg_1686906696789/work/libLSS/physics/cosmo.cpp]void LibLSS::Cosmology::precompute_com2a() 1 0.0703289
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[/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
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[/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
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[/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
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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::getDensityFinal(LibLSS::detail_output::ModelOutput<3>) 302 0.0215866
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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>::transfer(LibLSS::detail_output::ModelOutputBase<Nd, Super>&&) [with long unsigned int Nd = 3; Super = LibLSS::detail_model::ModelIO<3>] 2718 0.0201743
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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) 302 0.0151142
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[/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
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[/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
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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>] 1 0.00491132
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BorgLptModel::BorgLptModel 1 0.00483932
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FFTW_Manager::create_r2c_plan 3 0.00401923
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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::forwardModel_v2(LibLSS::detail_input::ModelInput<3>) 302 0.00395206
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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 0.00265152
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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>] 3322 0.00252739
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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 0.00234709
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FFTW_Manager::create_c2r_plan 2 0.00231646
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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 0.00229587
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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 0.00227005
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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 0.00177235
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[/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
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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>] 1208 0.00107811
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[/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
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[/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
|
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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>] 906 0.000742612
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[/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
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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>] 302 0.000316937
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particle distribution 302 0.000287307
|
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BORGForwardModel::setup 7 0.000122816
|
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Initializing peer system 12 4.3684e-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 1.2359e-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 2.473e-06
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Add table
Reference in a new issue