.Net: Onnx Multi (CPU/GPU/NPU) Target Projects #9437
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
markwallace-microsoft
added
.NET
RogerBarreto
had a problem deploying
to
integration
GitHub Actions
Error
RogerBarreto
had a problem deploying
to
integration
GitHub Actions
Error
RogerBarreto
had a problem deploying
to
integration
GitHub Actions
Error
RogerBarreto
had a problem deploying
to
integration
GitHub Actions
Failure
|
Aren't the ONNX Runtime GenAI folks working on a solution for this? The virality of having different packages for different targets up the whole stack isn't really tenable. |
RogerBarreto
had a problem deploying
to
integration
GitHub Actions
Failure
RogerBarreto
had a problem deploying
to
integration
GitHub Actions
Failure
RogerBarreto
temporarily deployed
to
integration
GitHub Actions
Inactive
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Motivation and Context
Onnx packages cannot be used together but share the same codebase (abstractions and types), following the same pattern as the dependencies, we have to deploy specific packages intended to be used for the specific platform.
Resolves .Net: Bug: .NET Microsoft.SemanticKernel.Connectors.Onnx missing package release for CUDA and DirectML #9056
Creates new packages specific for each target
Microsoft.SemanticKernel.Connectors.Onnx.CpuMicrosoft.SemanticKernel.Connectors.Onnx.GpuMicrosoft.SemanticKernel.Connectors.Onnx.DirectMLConverts
Microsoft.SemanticKernel.Connectors.Onnxinto a meta/proxy package toMicrosoft.SemanticKernel.Connectors.Onnx.Cpu.