importtorch.nn.functionalasF#define your task model, which outputs the classifier logitsmodel=TaskModel()defcompute_kl_loss(p,q,pad_mask=None):p_loss=F.kl_div(F.log_softmax(p,dim=-1),F.softmax(q,dim=-1),reductio
在pytorch的多卡训练中,这是所有卡总的batchsize;而在paddle中,设置的是单卡的batchsize,因此使用脚本任务四卡训练时,应该把batchsize设为128,这样总的batchsize才是128×4=512。 关于多卡并行训练:多卡分布式训练时,数据处理部分需要加上distributebatchsampler,这样相当于把数据分到多个卡上训练,否则其实就是每个卡...
WithPyTorch 1.7.1and exactly the same code/script in this Github, the results magically, supersingly, and unreasonablely reach back to53.5%in accuracy. Here is the full log: val_unseen Iter 139100 , train , nav_error: 0.681, oracle_error: 0.490, steps: 25.227, lengths: 10.059, success_...
pytorchmergebotadded a commit that referenced this pull requestOct 30, 2024 Revert "Drop caffe2 string_utils (#139217)"… ec5fbee This reverts commit1797a20. Revertedon behalf ofdue to Chatting with, this is still used in lots of place internally ([comment]()) ...