loss 在0与0.0x之前变化

[twinsyssy1018]

loss 在0与0.0x之前变化

[louielu1027]

美女你好，我想问一下，caffe里面怎么配置他这个Python layer，除了取消注释WITH_PYTHON_LAYER := 1，其他还需要设置什么？怎么才能将他写的Python layer加入到caffe里面呢？

[twinsyssy1018]

@louielu1027 没有其它设置，如果有报错，可能是代码里面其它的错误，你看下别人的issue

[louielu1027]

美女，我想再问一下，在作者read me 里面，setup里说的Rebuild your caffe directory and makesure your python could find the added layers.后面半句“确保你的Python能找到这些添加的层”是什么意思？需要对应什么操作，或者在caffe某些文件里添加什么吗？

[louielu1027]

因为我现在出现了一个错误，一直解决不了
File "/home/dl1/lvlu/10000all/tripletloss-master/tripletloss/datalayer.py", line 82, in setup
layer_params = yaml.load(self.param_str_)

AttributeError: 'DataLayer' object has no attribute 'param_str_'

[LiuJinxue]

@louielu1027 把param_str_ 改为 param_str就可以了

[qiufan]

@twinsyssy1018 你好~请问最后你效果出来了么？我也是这个情况，觉得是不是batch size太小的原因。 但是按照代码里的方法，每一类图片最小的数字是有要求的，要不就会无限循环。所以batch size我又不能取得太大。想知道你最后是怎么解决的呢？

[luxiangju]

我的LOSS很大，貌似没收敛，有人遇到过这种情况吗？BATCHSIZE=42，1000人左右

speed: 1.262s / iter
I0119 11:29:48.248039 1499 solver.cpp:337] Iteration 1000, Testing net (#0)
I0119 11:29:49.508103 1499 solver.cpp:404] Test net output #0: accuracy = 0
I0119 11:29:49.508152 1499 solver.cpp:404] Test net output #1: loss_cls = 9.70228 (* 1 = 9.70228 loss)
I0119 11:29:50.766808 1499 solver.cpp:228] Iteration 1000, loss = 10.9084
I0119 11:29:50.766860 1499 solver.cpp:244] Train net output #0: loss_cls = 10.9084 (* 1 = 10.9084 loss)
I0119 11:29:50.766870 1499 sgd_solver.cpp:106] Iteration 1000, lr = 0.05
I0119 11:30:15.997308 1499 solver.cpp:228] Iteration 1020, loss = 10.1421
I0119 11:30:15.997361 1499 solver.cpp:244] Train net output #0: loss_cls = 10.1421 (* 1 = 10.1421 loss)
I0119 11:30:15.997371 1499 sgd_solver.cpp:106] Iteration 1020, lr = 0.05
I0119 11:30:41.227283 1499 solver.cpp:228] Iteration 1040, loss = 10.7562
I0119 11:30:41.227332 1499 solver.cpp:244] Train net output #0: loss_cls = 10.7562 (* 1 = 10.7562 loss)
I0119 11:30:41.227342 1499 sgd_solver.cpp:106] Iteration 1040, lr = 0.05
I0119 11:31:06.449278 1499 solver.cpp:228] Iteration 1060, loss = 10.7111
I0119 11:31:06.449329 1499 solver.cpp:244] Train net output #0: loss_cls = 10.7111 (* 1 = 10.7111 loss)
I0119 11:31:06.449338 1499 sgd_solver.cpp:106] Iteration 1060, lr = 0.05
I0119 11:31:31.674744 1499 solver.cpp:228] Iteration 1080, loss = 8.994
I0119 11:31:31.674787 1499 solver.cpp:244] Train net output #0: loss_cls = 8.994 (* 1 = 8.994 loss)
I0119 11:31:31.674796 1499 sgd_solver.cpp:106] Iteration 1080, lr = 0.05
I0119 11:31:56.904220 1499 solver.cpp:228] Iteration 1100, loss = 9.24442
I0119 11:31:56.904271 1499 solver.cpp:244] Train net output #0: loss_cls = 9.24442 (* 1 = 9.24442 loss)
I0119 11:31:56.904281 1499 sgd_solver.cpp:106] Iteration 1100, lr = 0.05
I0119 11:32:22.130637 1499 solver.cpp:228] Iteration 1120, loss = 11.5263
I0119 11:32:22.130688 1499 solver.cpp:244] Train net output #0: loss_cls = 11.5263 (* 1 = 11.5263 loss)
I0119 11:32:22.130698 1499 sgd_solver.cpp:106] Iteration 1120, lr = 0.05
I0119 11:32:47.357022 1499 solver.cpp:228] Iteration 1140, loss = 10.7919
I0119 11:32:47.357074 1499 solver.cpp:244] Train net output #0: loss_cls = 10.7919 (* 1 = 10.7919 loss)
I0119 11:32:47.357084 1499 sgd_solver.cpp:106] Iteration 1140, lr = 0.05
I0119 11:33:12.589174 1499 solver.cpp:228] Iteration 1160, loss = 10.9585
I0119 11:33:12.589224 1499 solver.cpp:244] Train net output #0: loss_cls = 10.9585 (* 1 = 10.9585 loss)
I0119 11:33:12.589234 1499 sgd_solver.cpp:106] Iteration 1160, lr = 0.05
I0119 11:33:37.824996 1499 solver.cpp:228] Iteration 1180, loss = 9.55746
I0119 11:33:37.825044 1499 solver.cpp:244] Train net output #0: loss_cls = 9.55746 (* 1 = 9.55746 loss)
I0119 11:33:37.825054 1499 sgd_solver.cpp:106] Iteration 1180, lr = 0.05
speed: 1.263s / iter
I0119 11:34:03.060225 1499 solver.cpp:228] Iteration 1200, loss = 12.1203
I0119 11:34:03.060277 1499 solver.cpp:244] Train net output #0: loss_cls = 12.1203 (* 1 = 12.1203 loss)
I0119 11:34:03.060286 1499 sgd_solver.cpp:106] Iteration 1200, lr = 0.05
I0119 11:34:28.291772 1499 solver.cpp:228] Iteration 1220, loss = 11.2631
I0119 11:34:28.291823 1499 solver.cpp:244] Train net output #0: loss_cls = 11.2631 (* 1 = 11.2631 loss)
I0119 11:34:28.291833 1499 sgd_solver.cpp:106] Iteration 1220, lr = 0.05

[iamZe]

@luxiangju @twinsyssy1018 我的loss也是在很小范围内振荡，根本不收敛 请问你们解决了这个问题了吗？谢谢

[IrvingShu]

loss在margin附近震荡，你们解决好了吗