sample_rate = 16000 loss_func = NegSTOILoss(sample_rate=sample_rate) est_speec = torch.randn(2, sample_rate) clean_speech = torch.randn(2, sample_rate) # Compute loss and backward (then step etc...) loss_batch = loss_func(est_speech, clen_speech) loss_batch.mean().backward() 代...
pytorch代码实现: importtorchfromtorch.autogradimportVariableimporttorch.nnasnnimporttorch.nn.functionalasF#选择损失函数MSEloss_func=torch.nn.MSELoss()#随机生成数据input=torch.autograd.Variable(torch.randn(3,4))targets=torch.autograd.Variable(torch.randn(3,4))#计算lossloss=loss_func(input,target)print...
loss_functoin = nn.CrossEntropyLoss() 1. 就构建了一个loss_function,从loss_function的构建过程中知道,nn.CrossEntropyLoss是一个Module。Debug程序到: AI检测代码解析 loss = loss_functoin(outputs, labels) 1. 因为loss_functoin()是一个Module,所以输入outputs和labels,其实就是执行一个forward(),一个...
loss_func = torch.nn.SmoothL1Loss(reduce=False, size_average=False) input = torch.autograd.Variable(torch.randn(3,4)) target = torch.autograd.Variable(torch.randn(3,4)) loss = loss_func(input, target) print(input); print(target); print(loss) print(input.size(), target.size(), loss...
直接使用pytorch中的loss_func=nn.CrossEntropyLoss()计算得到的结果与softmax-log-NLLLoss计算得到的结果是一致的。 classtorch.nn.CrossEntropyLoss(weight=None, size_average=None, ignore_index=-100, reduce=None, reduction='mean') pytorch源码
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y = torch.tensor([-1]) #创建损失函数 loss_func = nn.CosineEmbeddingLoss(margin=0.0) #计算损失 loss = loss_func(x1, x2, y) #打印结果 print(loss) ```©2022 Baidu |由 百度智能云 提供计算服务 | 使用百度前必读 | 文库协议 | 网站地图 | 百度营销 ...
总结:cost function是各个样本的loss funcion的平均 === 那么caffe下的loss又是怎么一回事?=== caffe通常是视觉任务用的深度学习框架,处理的原始数据是图片。每次处理一张图片,这本身可以run,算是OK,但不够好。 每次处理多张图片,称为一个batch(批次),比如训练图片一共有4000张,每个batch处理50张。 按照batch...
return func(*args, **kwargs) File "C:\Users\ilove\AppData\Roaming\Python\Python37\lib\site-packages\keras\engine\training.py", line 1418, in fit_generator initial_epoch=initial_epoch) File "C:\Users\ilove\AppData\Roaming\Python\Python37\lib\site-packages\keras\engine\training_generator.py...
[logging, checkpoint]) File "C:\Users\ilove\AppData\Roaming\Python\Python37\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "C:\Users\ilove\AppData\Roaming\Python\Python37\lib\site-packages\keras\engine\training.py", line 1418, in...