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if you have multi GPU in a system, you can choose what GPU to use on model start

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iperov 2019-01-10 19:22:54 +04:00
parent 48d0123f0b
commit bf5282f7ec
4 changed files with 32 additions and 8 deletions
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4
nnlib/nnlib.py
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@ -168,15 +168,14 @@ NLayerDiscriminator = nnlib.NLayerDiscriminator
for idx in device_config.gpu_idxs:
visible_device_list += str(idx) + ','
config.gpu_options.visible_device_list=visible_device_list[:-1]
config.gpu_options.force_gpu_compatible = True
config.gpu_options.force_gpu_compatible = True
config.gpu_options.allow_growth = device_config.allow_growth
nnlib.tf_sess = tf.Session(config=config)
if suppressor is not None:
suppressor.__exit__()
nnlib.__initialize_tf_functions()
nnlib.code_import_tf = compile (nnlib.code_import_tf_string,'','exec')
@ -395,6 +394,7 @@ NLayerDiscriminator = nnlib.NLayerDiscriminator
nnlib.keras.backend.set_floatx('float16')
nnlib.keras.backend.set_session(nnlib.tf_sess)
nnlib.keras.backend.set_image_data_format('channels_last')
if 'TF_SUPPRESS_STD' in os.environ.keys() and os.environ['TF_SUPPRESS_STD'] == '1':
suppressor.__exit__()