hello,please tell me how to use generated samples to train

[liuxiuxuhaodong]

I make use of market-1501 datasets to train DCGAN and get the number of pictures,but,I do not know how to train baseline by generated samples,such as the name of generated pictures,class ,please tell me,thank you.

[qiaoguan]

hi, try to read the source code of train_baseline.py and prepare.py. you do not need to know all the details of the source code, just know how the model read the dataset（the path）, its not difficult, bset wishes!

[liuxiuxuhaodong]

well，I did it，but when i run train_baseline.py.i met a trouble that print Traceback (most recent call last): File "/home/dl/Person-reid-GAN/train_baseline.py", line 339, in os.mkdir(dir_name) FileNotFoundError: [Errno 2] No such file or directory: './model/ft_DesNet121'

[qiaoguan]

just create a new folder（named model）

[liuxiuxuhaodong]

thank you very much!

[liuxiuxuhaodong]

excuse me,after creat a new folder named model,i run again,then i also meet a new question that printed follw: RuntimeError: cuda runtime error (10) : invalid device ordinal at torch/csrc/cuda/Module.cpp:84 I look for solutions on internet.there is a blog writer who met a similar trouble in https://blog.csdn.net/shincling/article/details/78919282.But i just to learn pytorch.Would you like to help me resolve this problem？

[liuxiuxuhaodong]

My computer only have one gpu.

[qiaoguan]

just change it to the single GPU-training mode.
torch.cuda.set_device(gpu_ids[0]) and delete the code : model=nn.DataParallel(model,device_ids=[0,1,2]) # multi-GPU for mode details , you can search the internet

[liuxiuxuhaodong]

thank you very much,i have solved my trouble and run it successfully.

[liuxiuxuhaodong]

I am so sorry to trouble you again,i run train_baseline.py successfully a few days ago,but i just meet a new problem when i run it again.I read your demo ,but i don't find solution,the problem is printed follow: train Loss: 291.3983 Acc: 0.0109 /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [0,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [2,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [6,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [7,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [10,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [11,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. THCudaCheck FAIL file=/pytorch/torch/lib/THC/generated/../THCReduceAll.cuh line=339 error=59 : device-side assert triggered Traceback (most recent call last): File "train_baseline.py", line 346, in num_epochs=130) File "train_baseline.py", line 246, in train_model loss = criterion(outputs,labels,flags) File "/home/dl/anaconda3/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call result = self.forward(*input, **kwargs) File "train_baseline.py", line 173, in forward return loss.mean() RuntimeError: cuda runtime error (59) : device-side assert triggered at /pytorch/torch/lib/THC/generated/../THCReduceAll.cuh:339 I don't modify your code , a little confused.

[liuxiuxuhaodong]

I have solved it ,thank you

[flychen321]

I met it too, how did you solve it?

[Vincy-L]

me too,anyone solved it?

[Vincy-L]

I am so sorry to trouble you again,i run train_baseline.py successfully a few days ago,but i just meet a new problem when i run it again.I read your demo ,but i don't find solution,the problem is printed follow: train Loss: 291.3983 Acc: 0.0109 /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [0,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [2,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [6,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [7,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [10,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. /pytorch/torch/lib/THC/THCTensorScatterGather.cu:97: void THCudaTensor_gatherKernel(TensorInfo<Real, IndexType>, TensorInfo<Real, IndexType>, TensorInfo<long, IndexType>, int, IndexType) [with IndexType = unsigned int, Real = float, Dims = 2]: block: [0,0,0], thread: [11,0,0] Assertion indexValue >= 0 && indexValue < src.sizes[dim] failed. THCudaCheck FAIL file=/pytorch/torch/lib/THC/generated/../THCReduceAll.cuh line=339 error=59 : device-side assert triggered Traceback (most recent call last): File "train_baseline.py", line 346, in num_epochs=130) File "train_baseline.py", line 246, in train_model loss = criterion(outputs,labels,flags) File "/home/dl/anaconda3/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call result = self.forward(*input, **kwargs) File "train_baseline.py", line 173, in forward return loss.mean() RuntimeError: cuda runtime error (59) : device-side assert triggered at /pytorch/torch/lib/THC/generated/../THCReduceAll.cuh:339 I don't modify your code , a little confused.

can you tell me how to solve it,thank you