Start:         2022-10-05 09:53:51.718943
Platform :     Linux-5.3.18-59.37-default-x86_64-with-glibc2.31
Output folder: run.5pgudi99
--------------------------------------------------------------------------------

{
    "ct_image": "./data/291_CT_4mm.mhd",
    "table_mat": "./data/Schneider2000MaterialsTable.txt",
    "table_density": "./data/Schneider2000DensitiesTable.txt",
    "density_tolerance_gcm3": 0.1,
    "radionuclide": "Tc99m",
    "activity_source": "data/five_aligned_sources.mhd",
    "activity_bq": 100000000.0,
    "spect_radius_mm": 410,
    "spect_heads": 4,
    "spect_angles": 1,
    "spect_table_shift_mm": 150,
    "gaga_pth": "pth_Tc99m/train_gaga_v002_GP_0GP_10_60000.pth",
    "gaga_cond_direction": false,
    "gaga_backward_distance_mm": 600,
    "gaga_batch_size": 100000.0,
    "gaga_energy_threshold_keV": 1,
    "garf_pth": "pth_Tc99m/arf_dyb0u6mp_Tc99m_v003.pth",
    "garf_batch_size": 100000.0,
    "number_of_threads": 1,
    "visu": false,
    "verbose": true,
    "output_folder": "run.5pgudi99",
    "angle": null
}
Verbose        : 20
Running verbose: 0
Geant4 verbose : False, level = 1
Visualisation  : False, verbose level = 1
Check overlap  : True
Multithreading : no (but available: G4 was compiled with MT)
Random engine  : MixMaxRng, seed = auto 
world size 242.2 cm
Volume detPlane_0 : {'element_type': 'Volume', 'type_name': 'Box', 'name': 'detPlane_0', 'mother': 'spect_0', 'material': 'G4_Galactic', 'translation': [0, 0, 61.1], 'color': [1, 0, 0, 1], 'rotation': array([[1., 0., 0.],
       [0., 1., 0.],
       [0., 0., 1.]]), 'repeat': None, 'build_physical_volume': True, 'size': [576.0, 446.0, 1.0000000000000002e-06]}
Volume detPlane_1 : {'element_type': 'Volume', 'type_name': 'Box', 'name': 'detPlane_1', 'mother': 'spect_1', 'material': 'G4_Galactic', 'translation': [0, 0, 61.1], 'color': [1, 0, 0, 1], 'rotation': array([[1., 0., 0.],
       [0., 1., 0.],
       [0., 0., 1.]]), 'repeat': None, 'build_physical_volume': True, 'size': [576.0, 446.0, 1.0000000000000002e-06]}
Volume detPlane_2 : {'element_type': 'Volume', 'type_name': 'Box', 'name': 'detPlane_2', 'mother': 'spect_2', 'material': 'G4_Galactic', 'translation': [0, 0, 61.1], 'color': [1, 0, 0, 1], 'rotation': array([[1., 0., 0.],
       [0., 1., 0.],
       [0., 0., 1.]]), 'repeat': None, 'build_physical_volume': True, 'size': [576.0, 446.0, 1.0000000000000002e-06]}
Volume detPlane_3 : {'element_type': 'Volume', 'type_name': 'Box', 'name': 'detPlane_3', 'mother': 'spect_3', 'material': 'G4_Galactic', 'translation': [0, 0, 61.1], 'color': [1, 0, 0, 1], 'rotation': array([[1., 0., 0.],
       [0., 1., 0.],
       [0., 0., 1.]]), 'repeat': None, 'build_physical_volume': True, 'size': [576.0, 446.0, 1.0000000000000002e-06]}
Rad "Tc99m" yield is 0.885
Generate 100000 particles from GAN ... done in 0.5 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 27007 samples
Apply ARF neural network to 36077 samples
Apply ARF neural network to 22913 samples
Apply ARF neural network to 47752 samples
Runs      1
Events    88507843
Tracks    88726450
Step      210060988
Init      1.543031 	1.54303 s  
Duration  622.014468 	10.3669 min
PPS       142292
TPS       142644
SPS       337711
start     Wed Oct  5 09:53:55 2022
stop      Wed Oct  5 10:04:19 2022
Sim start 0 ps 
Sim end   1 s  
Threads   1
Track types: {'e-': 218241, 'gamma': 88508209}
run.5pgudi99/ref_stats.txt

--------------------------------------------------------------------------------
End:           2022-10-05 10:04:19.369846
Duration:      0:10:27.650903
Output folder: run.5pgudi99