import numpy as np
class ReLU():
def __init__(self):
self.mask = None
def forward(self, x):
self.mask = (x <= 0)
out = x.copy()
out[self.mask] = 0
return out
def backward(self, dout):
dout[self.mask] = 0
dx = dout
return dx
a = np.array([[1.0, -0.5], [-2.0, 3.0]])
relu = ReLU()
out = relu.forward(a)
print(out)
[[1. 0.]
[0. 3.]]
在运用类的时候,要先实例化类,然后用实例化之后的名称进一步调用类内部的函数。
TypeError: Caught TypeError in replica 1 on device 1.
TypeError: forward() missing 1 required positional argument: 'x'
百度了一下发现是因为我使用了多个显卡,导致在inference阶段,模型和数据不在同一个显卡上,所以后面同时报了:
TypeError: forward() missing 1 re...
File ".\seg_v2\framework.py", line 13, in __init__
self.net = net().cuda()
File "C:\Users\Administrator\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
TypeError: forward()
pytorch报错(4)forward() missing 1 required positional argument: ‘x‘或者‘NoneType‘ object is not callable
TypeError: forward() missing 1 required positional argument: ‘x’ #1074
在yolov4 pytorch训练时遇到此错误
解决方法:
测试集的数据量要能被BatchSize整除,简单方法是直接删除valid.txt里的标签路径。
转载请注明出处,谢谢
i = int(input('净利润:'))
I = [1000000,600000,400000,200000,100000,0]
r = [0.01,0.015,0.03,0.05,0.075,0.1]
for j in range(len(I)):
if i > I[j]:
b = [0,0,0,0,0,0]
b[j] = i -I[j]
for k in range(j+1,len