Start:         2022-10-03 17:03:13.679510
Platform :     Linux-5.3.18-59.37-default-x86_64-with-glibc2.31
Output folder: run.4wvv11kh
--------------------------------------------------------------------------------

{
    "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_v002_GP_0GP_10_60000.pth",
    "gaga_cond_direction": false,
    "gaga_backward_distance_mm": 600,
    "gaga_batch_size": 100000.0,
    "gaga_energy_threshold_keV": 1,
    "garf_pth": "pth_Tc99m/arf_dyb0u6mp_Tc99m_v003.pth",
    "garf_batch_size": 100000.0,
    "number_of_threads": 1,
    "visu": false,
    "verbose": true,
    "output_folder": "run.4wvv11kh",
    "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
ARF 
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
initialize Source gaga : {'element_type': 'Source', 'type_name': 'GAN', 'name': 'gaga', 'mother': 'world', 'start_time': 0, 'end_time': 1000000000.0, 'particle': 'gamma', 'ion': Box({'Z': 0, 'A': 0, 'E': 0}), 'n': -1, 'activity': 0.08850000000000001, 'weight': -1, 'weight_sigma': -1, 'half_life': -1, 'position': Box({'type': 'point', 'radius': 0, 'sigma_x': 0, 'sigma_y': 0, 'size': [0, 0, 0], 'translation': [0, 0, 0], 'rotation': array([[1., 0., 0.],
       [0., 1., 0.],
       [0., 0., 1.]]), 'confine': None}), 'direction': Box({'type': 'iso', 'momentum': [0, 0, 1], 'focus_point': [0, 0, 0], 'sigma': [0, 0], 'acceptance_angle': {'volumes': [], 'intersection_flag': False, 'normal_flag': False, 'normal_vector': [0, 0, 1], 'normal_tolerance': 0.05235987755982989}}), 'energy': Box({'type': 'mono', 'mono': 0, 'sigma_gauss': 0, 'is_cdf': False, 'min_energy': 0, 'max_energy': 0}), 'pth_filename': 'pth_Tc99m/train_gaga_v002_GP_0GP_10_60000.pth', 'position_keys': ['PrePosition_X', 'PrePosition_Y', 'PrePosition_Z'], 'backward_distance': 600.0, 'direction_keys': ['PreDirection_X', 'PreDirection_Y', 'PreDirection_Z'], 'energy_key': ['KineticEnergy'], 'energy_threshold': 0.001, 'weight_key': None, 'time_key': ['TimeFromBeginOfEvent'], 'time_relative': True, 'batch_size': 100000, 'generator': <opengate.source.GANSourceConditionalGenerator.GANSourceConditionalGenerator object at 0x7fb3d4b1b3a0>, 'verbose_generator': True, 'is_paired': False, 'use_time': False, 'use_weight': False}
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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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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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
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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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Apply ARF neural network to 100000 samples
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
Generate 100000 particles from GAN ... done in 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
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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)
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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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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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Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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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Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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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)
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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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
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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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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
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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Generate 100000 particles from GAN ... done in 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
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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)
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)
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Generate 100000 particles from GAN ... done in 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
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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
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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
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)
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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
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)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 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
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Apply ARF neural network to 100000 samples
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 0.2 sec (GPU=True)
Generate 100000 particles from GAN ... done in 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 7643 samples
Apply ARF neural network to 3497 samples
Apply ARF neural network to 91118 samples
Apply ARF neural network to 73760 samples
Runs      1
Events    88507181
Tracks    88724162
Step      208278241
Init      1.533922 	1.53392 s  
Duration  619.457201 	10.3243 min
PPS       142879
TPS       143229
SPS       336227
start     Mon Oct  3 17:03:17 2022
stop      Mon Oct  3 17:13:38 2022
Sim start 0 ps 
Sim end   1 s  
Threads   1
Track types: {'e-': 216585, 'gamma': 88507577}
run.4wvv11kh/ref_stats.txt

--------------------------------------------------------------------------------
End:           2022-10-03 17:13:38.223759
Duration:      0:10:24.544249
Output folder: run.4wvv11kh