Start:         2022-10-06 08:04:36.182445
Platform :     Linux-5.3.18-59.37-default-x86_64-with-glibc2.31
Output folder: run.659v7ty4
--------------------------------------------------------------------------------

{
    "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_v001_GP_0GP_10_60000.pth",
    "gaga_cond_direction": true,
    "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.659v7ty4",
    "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)
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Apply ARF neural network to 100000 samples
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Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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Apply ARF neural network to 100000 samples
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Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
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Apply ARF neural network to 100000 samples
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Apply ARF neural network to 100000 samples
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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
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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)
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
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
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
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)
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)
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
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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
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
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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)
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)
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)
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)
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)
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)
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
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)
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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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)
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)
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
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
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)
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)
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)
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)
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)
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)
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)
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
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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 11441 samples
Apply ARF neural network to 27393 samples
Apply ARF neural network to 95582 samples
Apply ARF neural network to 93701 samples
Runs      1
Events    88500531
Tracks    88718456
Step      210073309
Init      1.460336 	1.46034 s  
Duration  605.029375 	10.0838 min
PPS       146275
TPS       146635
SPS       347212
start     Thu Oct  6 08:04:39 2022
stop      Thu Oct  6 08:14:46 2022
Sim start 0 ps 
Sim end   1 s  
Threads   1
Track types: {'e-': 217538, 'gamma': 88500918}
run.659v7ty4/ref_stats.txt

--------------------------------------------------------------------------------
End:           2022-10-06 08:14:46.424989
Duration:      0:10:10.242544
Output folder: run.659v7ty4