WebNov 18, 2024 · I add three line code on "tensorpack/trainv1/config.py" 108 gpu_options=tf.GPUOptions () 109 gpu_options.allow_growth = True 110 config = … Webconfig = tf.ConfigProto() config.gpu_options.allow_growth = True session = tf.Session(config=config) The second method is the per_process_gpu_memory_fraction option, which determines the fraction of the overall amount of memory that each visible GPU should be allocated. For example, you can tell TensorFlow to only allocate 40% of the …
Is there a way of determining how much GPU memory is in use by …
Webkeras导入weights方式. 若将by_name改为True则加载权重按照layer的name进行,layer的name相同时加载权重,适合用于改变了模型的相关结构或增加了节点但利用了原网络的主体结构情况下使用,源码描述如下:。 Webconfig = tf.ConfigProto() config.gpu_options.allow_growth=True sess = tf.Session(config=config) run nvidia-smi -l (or some other utility) to monitor GPU memory consumption. Step through your code with the debugger until you see the unexpected GPU memory consumption. (1) There is some limited support with Timeline for logging … raymond run
Python Examples of tensorflow.GPUOptions - ProgramCreek.com
WebNov 5, 2024 · It seems gpu_options.allow_growth doesn't work together with gpu_options.per_process_gpu_memory_fraction. Here is my code: tf_config = … WebNov 18, 2024 · 109 gpu_options.allow_growth = True 110 config = tf.ConfigProto (gpu_options = gpu_options,allow_soft_placement = True) 111 self.session_creator = NewSessionCreator (config=config) rebuild tensorpack by python setup.py install and then run python imagenet-resnet.py --fake --gpu 0,1 --depth 18 --mode resnet Webdef get_tensorflow_session(): gpu_options = tf.GPUOptions(allow_growth=True) config_proto = tf.ConfigProto( log_device_placement=False, allow_soft_placement=True, gpu_options=gpu_options) return tf.Session(config=config_proto) Example #26 Source File: bc.py From rl_algorithms with MIT License 5 votes def get_tf_session(): """ Returning a … raymond rumple