dmmiller612 sparktorch issues

dmmiller612 / sparktorch

Train and run Pytorch models on Apache Spark.

MIT License

339 stars 44 forks source link

issues

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Issue with spark_model fit

#35 kvinshorts opened 1 year ago
0
spark.rdd API

#34 Safary1094 opened 1 year ago
1
Why I am not seeing prints for different iterations in my jupyter notebook?

#33 hassledzebra opened 1 year ago
0
Zhenghan

#32 hassledzebra opened 1 year ago
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Add publish

#31 dmmiller612 closed 1 year ago
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Inference on multi GPU

#30 milad1378yz opened 2 years ago
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PyTorch Lightning Integration

#29 tchaton opened 2 years ago
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What's the difference?

#28 Sem4ik228 opened 2 years ago
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how to convert model from spark ml form to torch form?

#27 Yumeka999 opened 2 years ago
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Why is nobody using this?

#26 adsk2050 opened 2 years ago
1
Made small fixes and bumped to spark 3

#25 dmmiller612 closed 1 year ago
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Is this project in active development?

#24 absognety closed 3 years ago
2
Does this support tensor? Meaning each sample is MxNxT

#23 ghost opened 3 years ago
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SPARK-5063 error

#22 ramondalmau opened 3 years ago
3
Storing serialized objects in rows of dataframes

#21 kostjaigin opened 3 years ago
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Fixed cases in README.md

#20 deepaks2112 opened 3 years ago
1
getting vectors

#19 lizush23 opened 4 years ago
0
NOTE: One thing to remember is that if your network is not a sequential, it will need to be saved in a separate file and available in the python path

#18 shexuan opened 4 years ago
0
Problem when using a pretrained Hugginface-Transformer model: "Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.FloatTensor instead"

#17 cperezmig opened 4 years ago
1
Added distributed loss

#16 dmmiller612 closed 4 years ago
0
Mode updates to async behavior

#15 dmmiller612 closed 4 years ago
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Added early stopping

#14 dmmiller612 closed 4 years ago
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Implement Device handling

#13 dmmiller612 closed 4 years ago
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Add new torch distributed parameter server.

#12 dmmiller612 closed 4 years ago
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New server

#11 dmmiller612 closed 4 years ago
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Implement learning rate scheduler.

#10 dmmiller612 closed 4 years ago
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Fixed up early stopping params

#9 dmmiller612 closed 4 years ago
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early stopping

#8 dmmiller612 closed 4 years ago
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Final performance updates

#7 dmmiller612 closed 4 years ago
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Performance upgrades around inference

#6 dmmiller612 closed 4 years ago
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Documentation around use of the library.

#5 dmmiller612 closed 4 years ago
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Implement mini-batches for training to reduce CPU burden for large datasets in partitions.

#4 dmmiller612 closed 4 years ago
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Setup inner cross validation for each task.

#3 dmmiller612 closed 4 years ago
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Implement Early Stopping

#2 dmmiller612 closed 4 years ago
1
Set up Travis builds

#1 dmmiller612 closed 4 years ago
0