Open Arfea opened 3 years ago
Excuse me, I'm faced with the exact same question. Have you find the solution yet?
It doesn't seem to be a problem with the seed, because for me the second experiment is always X
when ran in loop l in [1,2]
and always Y
when ran in loop l in [2]
, where X!=Y
is the problem and unexpected behavior. I tried
del estimator, predictor
gc.collect()
but that doesn't fix it either. Btw I'm using TemporalFusionTransformerEstimator
.
Any ideas?
Hello, I am required to run DeepAR with nested cross-validation and hyperparameter tuning, and I tried running the example code in a simple loop to check reproducibility, and found that the second experiment (i.e. the one with 2 layers of LSTM) has different results when it is run in a loop compared to it is run directly (i.e. running the following code with
for l in [2]:
). I notice this only happens on GPU (I use Tesla V100 GPU and cuda 10.2 ). I was wondering if anyone knows how to fix the cuda random seed in mxnet? Many thanks!