torch.cuda.set_per_process_memory_fraction():用于设置当前线程默认使用的GPU的显存比例。可以将其传入一个浮点数参数,表示显存的比例,取值范围为0到1。例如,通过torch.cuda.set_per_process_memory_fraction(0.5)来设置使用一半的显存。 代码示例 importtorch# 设置使用第一块GPUtorch.cuda.set_device(0)# 设置...
config.gpu_options.per_process_gpu_memory_fraction=0.7# 最大显存占用率70%config.allow_soft_placement=True# 可以自带选择当前可用的GPU设备:6或7都能用;config.log_device_placement=False# 程序运行中的各种打印,是否顺便显示出于哪台设备?—— 一般不用sess=tf.Session(config=config)KTF.set_session(sess)...
config.gpu_options.per_process_gpu_memory_fraction = 0.7 结果:产生错误,代码无法运行 3.最终解决方案 不使用上述语句,注释掉他们 config = tf.ConfigProto() # config.gpu_options.allow_growth = True # config.gpu_options.per_process_gpu_memory_fraction = 0.7 config.allow_soft_placement = True 结果...
# 限制PyTorch可以使用的最大GPU内存# 用于限制最大内存。如果你希望Pytorh只使用1000MB的显存,可以使用:max_memory=1000# 最大内存,单位MBtorch.cuda.set_per_process_memory_fraction(max_memory/torch.cuda.get_device_properties(0).total_memory) 1. 2. 3. 4. 通过以上代码,您可以控制内存的使用量,避免...
Including non-PyTorch memory, this process has 3.66 GiB memory in use. torch设置set_max_workspace_size参数和set_per_process_memory_fraction可以试试,但你这个明显显存不足。zRzRzRzRzRzRzR closed this as completed Feb 26, 2024 zRzRzRzRzRzRzR self-assigned this Feb 26, 2024 ...
config.gpu_options.per_process_gpu_memory_fraction = 0.4 set_session(tf.Session(config=config)) import keras from keras.applications.resnet50 import ResNet50 from keras.applications.resnet50 import Dense from keras.layers import Dropout from keras.models import Sequential ...
double fragmentation_fraction = 0; }; BFCAllocator(std::unique_ptr<SubAllocator> sub_allocator, size_t total_memory, const string& name, const Options& opts); ~BFCAllocator() override; string Name() override { return name_; } void* AllocateRaw(size_t alignment, size_t num_bytes) overrid...
config.gpu_options.per_process_gpu_memory_fraction=0.9 tf.compat.v1.Session(config=config) # 构建数据集 X_data = np.linspace(-1,1,1000)[:, np.newaxis] noise = np.random.normal(0,0.05,X_data.shape) y_data = np.square(X_data) + noise + 0.5 ...
This may not be the optimum value for my GPU, but it is configurable using config.gpu_options.per_process_gpu_memory_fraction = 0.7 setting, for example. Share Improve this answer Follow answered Nov 29, 2017 at 13:24 Minoru 1,73033 gold badges2121 silver badges4545 bronze badges A...
{int64_tsize=0;boolallocated=false;boolactive=false;};// Struct containing info of a memory segment (i.e. one contiguous cudaMalloc).structSegmentInfo{int64_tdevice=0;int64_taddress=0;int64_ttotal_size=0;int64_tallocated_size=0;int64_tactive_size=0;boolis_large=false;std::vector<Block...