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- 版本、环境信息
1）hub.__version__'1.7.1'
2）paddle.__version__'1.7.2'
3）ubuntu16.04
4) cuda10
5）paddle.fluid.install_check.run_check()
Running Verify Paddle Program ...
W0610 10:19:19.803442 8827 d…
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## Report needed documentation
Firstly, thanks for the project! I'm really looking forward to being able to combine these classical ML approaches with deep learning all on the GPU.
There should …
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triage / assess / breakout after the session
---
- metadata on pages to tag last update
- distinction between last reviewed and last updated
- flag when content gets stale
- need more tea…
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### Feature request / Suggestion
Currently, we have set `celery`'s concurrency to 1 process with several threads, in order to get around race conditions and OutOfMemory issues with the deep learning …
JeS24 updated
5 months ago
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I am trying to create a GPU-based environment where a model is being trained say resnet18 where the number of environment can be greater than 1. I am not familiar with Jax but I am planning to learn i…
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Since @crockpotveggies got some issues with convergence time with ParallelWrapper, and we're going to introduce multiple different asynchronous updaters for parallel training, it would be really nice …
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It would be cool to have a function that applies a function to all the patches of a matrix.
For example:
Matrix.MapPatch(PatchWidth,PatchHeight,Function);
or
Matrix.MapPatch(HorizontalPatches,Vertical…
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tensorflow.python.framework.errors_impl.FailedPreconditionError: tfrecords; Is a directory
[[{{node pascalvoc_2007_data_provider/parallel_read/ReaderReadV2_1}}]]
This is my .sh:
DATASET_DIR=./tfr…
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[Enter feedback here]
I'm following [this](https://docs.microsoft.com/en-us/python/api/azureml-pipeline-core/azureml.pipeline.core.graph.pipelineparameter?view=azure-ml-py) example to create a Pipeli…
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Setting n_jobs > 1 in MiniBatchDictionaryLearning (and in function dictionary_learning_online) leads to worse performance.
Multi processing is handled in sklearn.decompositions, function dict_learnin…