Start:         2022-10-06 14:20:51.820755
Platform :     Linux-5.3.18-59.37-default-x86_64-with-glibc2.31
Output folder: run.sxz3660z
--------------------------------------------------------------------------------

{
    "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/four_spheres.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.sxz3660z",
    "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 3.8 sec (GPU=True)
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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
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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
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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
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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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Generate 100000 particles from GAN ... done in 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
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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
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)
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)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 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)
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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 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)
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)
Generate 100000 particles from GAN ... done in 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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 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
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)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
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)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
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)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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
Apply ARF neural network to 85722 samples
Apply ARF neural network to 46313 samples
Apply ARF neural network to 37008 samples
Apply ARF neural network to 1874 samples
Runs      1
Events    88484019
Tracks    88701915
Step      209408705
Init      1.486803 	1.4868 s  
Duration  629.158807 	10.486 min
PPS       140639
TPS       140985
SPS       332839
start     Thu Oct  6 14:20:57 2022
stop      Thu Oct  6 14:31:28 2022
Sim start 0 ps 
Sim end   1 s  
Threads   1
Track types: {'e-': 217511, 'gamma': 88484404}
run.sxz3660z/ref_stats.txt

--------------------------------------------------------------------------------
End:           2022-10-06 14:31:28.123273
Duration:      0:10:36.302518
Output folder: run.sxz3660z