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```
This is an enhancement rather than an issue.
It would be nice to have several functions operate across multiple gpus
double gpuSumProd(vec, vec): this would compute the dot-product of two vecto…
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hi i have changed the following command to running on GPU device
Training on TPU
MODEL_DIR=gs:///
TFHUB_CACHE_DIR=gs:///
TFHUB_CACHE_DIR=$TFHUB_CACHE_DIR \
TPU_NAME=
python -m language.orqa.…
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Hi, @kwea123
I am conducting some experiments using this MVSNet implementation, since its clear and simple PyTorch Lightning warping.
For faster training process, the model is trained with 3 GPUs…
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When I successfully run " CUDA_VISIBLE_DEVICES=0,1 python train_multi_gpu.py --num_gpus 2 " on the server, I get an error when running " python evaluate.py --num_votes 12 ": tensorflow.python.framewor…
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Thank you for your work. I want to run your code on my mahcine but encountered many issues with tensorflow. Could you provice more information about your working environment ,like python version, cuda…
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Hello, first off, I really like this project, thanks a lot for your development time! The fact I can train networks with Keras using basically any underlying GPU is wonderful.
I have tested this on…
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Any plans to release a multi-GPU version of this? It looks like we should be able to run the `meta_batch_size` iterations of the outer loop in `reptile.train_step` in parallel on separate GPUs.
(I…
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I trained yolov4 on my own data set with the param **"-dont_show -map -gpus 1,2"**, and an error occurred while calculating mAP.
We have 2 Tesla K80 (4 GPU in total) and I trained my dataset on GPUs …
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The same seed seems to be used by every GPU, so using multi-GPU produces the same result as just using 1.
Reproduction:
`python launch.py --config configs/dreamfusion-if.yaml --train --gpu 0,1 s…
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Hi,
I'm using multi-node training and I need to know how to calculate the hyperparameter values in the train_redpajama script. Can you please elaborate more on how to set these values?
Here are …