### Description
<!-- Describe your changes. -->
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
### Description
Update eps.md about Python wheels for MIGraphX and ROCm
### Motivation and Context
There was no instructions to show how to build python wheels for
MIGraphX and ROCm backends. It is neccesary to add these command
examples.
### Description
Correct variable name from `test_data` to `feed_dict` to fix example
code in mixed precision example docs.
### Motivation and Context
Fixes#21822
### Description
This PR updates the documentation regarding the ACL execution provider
to reflect the changes made in #22032.
It also updates various references to Arm's trademarks in accordance
with the Arm trademark use guidelines.
### Motivation and Context
Ensures documentation is accurate following recent changes.
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Signed-off-by: Michael Tyler <michael.tyler@arm.com>
### Description
This PR contains the steps of building onnxruntime in AIX OS.
### Motivation and Context
AIX OS users can build the onnxruntime in their local env.
### Description
Add download links to previous versions of onnxruntime-gpu.
### Motivation and Context
There was a change in feeds recently, which make it hard to find the
download links for previous versions of onnxruntime-gpu.
### Description
* Add CUDA/CuDNN requirements for 1.19.x
* Update installation guide for cuda 11 package and nightly.
* Remove a sentence for ROCm: `Alternatively, each major ORT release has
a corresponding C/C++ ROCm package, found
[here](https://github.com/microsoft/onnxruntime/releases/).` since
onnxruntime_rocm package is not available in recent releases.
### Motivation and Context
Doc is not up to date.
Likely will need to change HLJS theme for the rest.
Should be good to instantly approve/merge, but feel free to review as
necessary. Not currently deploying a preview as another more significant
PR is being reviewed, but I can do it if requested :)
### Description
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Update CoreML ops lists with recent additions.
### Motivation and Context
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- If it fixes an open issue, please link to the issue here. -->
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Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
### Description
Introduce how to use matmul_4bits_quantizer to do weight only
quantization.
### Motivation and Context
Add 4bit quantizer to onnx runtime doc
This pull request addresses several spelling errors and inconsistencies
in the capitalization of proper nouns within the documentation.
### Motivation and Context
To improve the quality of the documentation, spelling errors and
capitalization mistakes have been corrected. This ensures that the
content is more accurate and easier to read.
### Description
<!-- Describe your changes. -->
- Update Android build instructions.
- Remove references to "mobile" packages with reduced operators and
minimal build which have been removed in 1.19.
In particular, these packages:
- onnxruntime-mobile-c/objc (iOS)
- onnxruntime-mobile (Android)
https://edgchen1.github.io/onnxruntime/docs/
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
Update and remove obsolete documentation.
Update DML EP docs w/ correct DML + ONNX opset version
### Description
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### Motivation and Context
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- If it fixes an open issue, please link to the issue here. -->
### Description
Python code block on home page contained typo
Previous: outputs = session.run(None {"input": inputTensor})
Correction: outputs = session.run(None, {"input": inputTensor})
Fixes issue #21146
### Motivation and Context
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- If it fixes an open issue, please link to the issue here. -->
DRAFT PR until images and thumbnail are provided
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Co-authored-by: Scott McKay <Scott.McKay@microsoft.com>
Co-authored-by: Emma Ning <43255631+EmmaNingMS@users.noreply.github.com>
### Description
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### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
This documentation adds documentation on:
- how to allocate CUDA device tensors from C++ and python
- how to use DML device tensors from C++ and python
- it also shows how to leverage existing GPU allocations in ORT
- how to overlap PCI copies and GPU execution using CUDA streams
- how to overlap PCI copies and GPU execution using D3D12 Command Lists
and custom resources
---------
Co-authored-by: Tianlei Wu <tlwu@microsoft.com>
