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### Motivation: Why do you think this is important?
When using elastic we can greatly improve checkpointing performance using https://pytorch.org/blog/reducing-checkpointing-times/
### Goal: What sh…
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Thank you for providing the good work!
I'm implementing lsd using the code in this repository in my pytorch training pipeline. I found that computing lsd on cpu takes much more time than training (…
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I found that the recall rate and accuracy rate are very low during my training. Is my training not enough? is this normal?I am using my own data set
`512/512 [====================] - 29s 56ms/step - …
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Repro:
- Train OD Model with large images ( 4000 x 3000 )
Result:
- Stalls at Epoch 0 and uses 100% of CPU
Expected Result:
- It works :)
Workaround:
- Resize Images
- https://…
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I want to use the npy2ckpt.py to transfer my own resnet50 pre-train model:
the layer name in my pre-train resnet50 model are:
bn4c_branch2c
bn5b_branch2b
res3d_branch2b
res2b_branch2b
…
y-kl8 updated
6 years ago
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请问在CPU集群运行分布式TF的时候遇到这个问题是咋回事?有啥解决办法吗?
INFO:tensorflow:Done calling model_fn.
INFO:tensorflow:Create CheckpointSaverHook.
could not find method isEncrypted from class org/apache/hadoop/fs/FileStatus…
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Both the MNIST [softmax regression model](https://malmaud.github.io/TensorFlow.jl/latest/tutorial.html#Building-a-softmax-regression-model-1) and the [multi-layer convolutional network](https://malmau…
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Every time when I want to train a scene, it will have a error in epoch 20000 as shown as below:
Optimizing output/kitchen_24_SparseGS
Output folder: output/kitchen_24_SparseGS [14/09 04:53:08]
…
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I need to compute custom metrics during training. I first thought it would be as easy as adding my own metric function to some callback, but I couldn't find anything like this in the doc or in issues.…
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Hello,
We have been developing a FastAPI application where we use some external libraries to perform some NLP tasks, such as tokenization. On top of this, we are launching the service with Gunicorn …