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An Engine-Agnostic Deep Learning Framework in Java

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Hello DJL team, I am trying to convert a network policy from Python using Pytorch to Java and one of the parameters I am missing in_channel and out_channel which is...

## Copying an issue from [a Slack thread](https://deepjavalibrary.slack.com/archives/CPXNLGGTS/p1675956480760269): oleogin [1 month ago](https://deepjavalibrary.slack.com/archives/CPXNLGGTS/p1675956480760269) Hi I'm encountering an issue when trying to run training on multiple GPUs using DJL. I'm using the...

bug

## Currently pytorch engine throws on percentile() or median(). Add native support for NDArray.percentile() and NDArray.median() This change will not change the API.

enhancement

I've noticed that using DJL requires more than simply altering a Maven pom file and since I wish to do development on a machine that uses an Arm pricessor, I...

## Description Running the code specified below I get a number of warning at the beginning, apparently harmless. > Training: 0% |= | Accuracy: _, SoftmaxCrossEntropyLoss: _ > Training: 0%...

bug

version: ai.djl api 0.21.0 ai.djl.nn.core.Linear#loadMetadata this method Override parent#loadMetadata cause inputShapes not initialize

bug

VERSION: ai.djl.mxnet mxnet-engine 0.21.0 ai.djl.mxnet mxnet-native-mkl win-x86_64 1.9.1 Block: public static SequentialBlock build() { SequentialBlock resNet = new SequentialBlock(); resNet.add(Conv2d.builder() .setKernelShape(new Shape(3, 3)) // 9个图片数据合成1个数据 .setFilters(FILTERS_NUM) // 生成多少changle .optStride(new Shape(1,...

bug

**Code** : NDManager manager = NDManager.newBaseManager(); NDArray X = manager.randomNormal(new Shape(1, 2)); NDArray trueW = manager.create(new float[]{2, -3.4f}); X.dot(trueW); **Exception** Dimension mismatch or high dimensional dot operation is not supported....

## Description When linking the static library, I will be prompted that it cannot be found, but I have seen the temporary path created and it exists. What is the...

bug

## Description Use same onnx model as input to transform to tensorrt model with trtexec,if fix input format djl runs ok: ``` TensorRT-8.4.1.5/bin/trtexec --onnx=models/model.onnx --shapes=input_ids:1x4 --fp16 --saveEngine=model8415-1*4.trt ``` output: ```...

bug