Add support for softmaxcrossentropy loss to MIGraphX EP (#64) #22603
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@tianleiwu Need to get this in sooner than later. |
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/azp run Windows ARM64 QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CUDA CI Pipeline,Windows GPU DML CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows GPU TensorRT CI Pipeline,ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline |
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/azp run Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,orttraining-amd-gpu-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,onnxruntime-binary-size-checks-ci-pipeline |
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/azp run Big Models,Linux Android Emulator QNN CI Pipeline,Android CI Pipeline,iOS CI Pipeline,ONNX Runtime React Native CI Pipeline |
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Azure Pipelines successfully started running 5 pipeline(s). |
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Azure Pipelines successfully started running 6 pipeline(s). |
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Azure Pipelines successfully started running 10 pipeline(s). |
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/azp run Linux MIGraphX CI Pipeline |
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Azure Pipelines successfully started running 1 pipeline(s). |
microsoft#22603) Add support for softmaxcrossentropy loss. This is already enabled on our ROCm Fork of the MIGraphX EP ### Motivation and Context Adds support for the SoftmaxCrossEntropyLoss operator and removes the filtering of inputs here.
…oft#22603) Add support for softmaxcrossentropy loss. This is already enabled on our ROCm Fork of the MIGraphX EP ### Motivation and Context Adds support for the SoftmaxCrossEntropyLoss operator and removes the filtering of inputs here.
…oft#22603) Add support for softmaxcrossentropy loss. This is already enabled on our ROCm Fork of the MIGraphX EP ### Motivation and Context Adds support for the SoftmaxCrossEntropyLoss operator and removes the filtering of inputs here.
Description
Add support for softmaxcrossentropy loss. This is already enabled on our ROCm Fork of the MIGraphX EP
Motivation and Context
Adds support for the SoftmaxCrossEntropyLoss operator and removes the filtering of inputs here.