pytorch version problem?

[huanghjA]

  File "/home/hjhuang/weichen/t2vec/train.py", line 271, in train
    loss.backward()
  File "/home/hjhuang/anaconda3/envs/t2vec2/lib/python3.6/site-packages/torch/tensor.py", line 102, in backward
    torch.autograd.backward(self, gradient, retain_graph, create_graph)
  File "/home/hjhuang/anaconda3/envs/t2vec2/lib/python3.6/site-packages/torch/autograd/__init__.py", line 90, in backward
    allow_unreachable=True)  # allow_unreachable flag
RuntimeError: CUDA error: device-side assert triggered
/opt/conda/conda-bld/pytorch_1544081127912/work/aten/src/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: [13,0,0], thread: [385,0,0] Assertion `indexValue >= 0 && indexValue < src.sizes[dim]` failed.

I have run the Training after preprocess successfully and error occurred as above.

[boathit]

The code was tested in Python 3.6 and PyTorch 1.1 and 1.3.

[huanghjA]

Thanks for your replying and i have successfully trained the model.
However, another problem occurred when creating test files with the command julia1.5.3 createTest.jl as following:

ERROR: LoadError: UndefVarError: jldopen not defined
Stacktrace:
 [1] loadregion!(::SpatialRegion, ::String) at /home/hjhuang/weichen/t2vec/preprocessing/SpatialRegionTools.jl:394
 [2] top-level scope at /home/hjhuang/weichen/t2vec/experiment/createTest.jl:15
 [3] include(::Function, ::Module, ::String) at ./Base.jl:380
 [4] include(::Module, ::String) at ./Base.jl:368
 [5] exec_options(::Base.JLOptions) at ./client.jl:296
 [6] _start() at ./client.jl:506
in expression starting at /home/hjhuang/weichen/t2vec/experiment/createTest.jl:15

[boathit]

It seems the script has been out of date, you may consider referring to this jupyter-notebook for testing.

[huanghjA]

It works!
However, my python environment need to run conda activate XXX before python t2vec.py.
I can't solve this in Julia as I can skip this process by running in terminal.
Thank you for your help~