在使用大于八张卡的情况下,定义了device_map后,使用accelerate里的dispatch_model(model, device_map=device_map)出现如下报错。但是使用小于八张卡时,可以正常运行 二、软件版本: -- CANN 版本 (e.g., CANN 3.0.x,5.x.x): 8.0.RC1 --Tensorflow/Pytorch/MindSpore 版本: 2.1.0 ...
raise ValueError( ValueError: We need anoffload_dirto dispatch this model according to thisdevice_map, the following submodules need to be offloaded: base_model.model.model.layers.3, base_model.model.model.layers.4, base_model.model.model.layers.5, base_model.model.model.layers.6, base_mod...
(x) z = self.lin2(x) return torch.cat((y, z), 0) net = Net() max_memory = {0: 50000, 1: 50000, 2: 50000, 'cpu': 100000} device_map = infer_auto_device_map(net, max_memory) print("device map", device_map) net = dispatch_model(net, device_map) res = net(torch....
A heatmap representation of hourly electricity prices reveals an accumulation of high prices in the morning and evening hours, and lower prices during night-time and early afternoon (Figure 5). This is plausible as grid power demand peaks in the morning and evening hours. Moreover, the share ...
If the load cannot be balanced after the battery discharge, the power loss in the microgrid can be satisfied by purchasing power from the large power grid; when the energy storage device has excess power, it can be considered to sell power to the main network for profit. According to the...