### Description
Fix broken links referenced in issue #20790
Llama2 blog link was updated to the correct location and ResNet sample
was removed entirely because it no longer exists anywhere in the AML
docs
### Motivation and Context
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Add a section for how to use three major TRT EP caches: TRT timing
cache, TRT engine cache and Embedded engine model /EPContext model.
Some materials are from my GTC slides.
### Description
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### Motivation and Context
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update cudnn to 8.9.2.26 (Linux)<br/>8.9.2.26 (Windows)
### Description
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### Motivation and Context
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### Description
Fix package name
from ```dotnet add package Microsoft.ML.OnnxRuntimeGenAI.*Cuda*
--prerelease``` to ```dotnet add package
Microsoft.ML.OnnxRuntimeGenAI.DirectML --prerelease``` in DirectML
section.
### Motivation and Context
Clearly confusing for beginners if not fixed (will break further processes)
### Description
Update compatibility/version info for ORT 1.18 release
### Motivation and Context
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### Description
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### Motivation and Context
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### Description
Updated blog link so it goes directly to the Hugging Face blog site
### Motivation and Context
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### Description
Add announcement with link to Phi-3 On-Device blog on Hugging Face site
Staged here:
https://sophies927.github.io/onnxruntime/blogs/phi-3-on-device
### Motivation and Context
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### Description
-These changes reflect the latest changes we have made to enable NPU
-Export OpenVINO Blob to ONNX Operator
-Enable QDQ Optimizations Passes
- Separate Device/Precision
### Motivation and Context
These changes reflect the latest changes we have made to enable NPU.
These changes reflect the latest changes we have made to enable rel-1.18
- If it fixes an open issue, please link to the issue here. -->
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Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
### Description
This PR updates a reference link in the LLaMA-2 blog post and fixes a
word formatting issue.
### Motivation and Context
With these changes, the link to the example E2E notebook works again.
### Description
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* Update TRT version to 10.0
### Motivation and Context
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### Description
Addresses #20096, and checked #20261 (should have already been fixed)
Also added a different animation for words on the hero as they didn't
look good (some svelte animation bug I think)
Link found at: https://maanavd.github.io/onnxruntime/
Co-authored-by: MaanavD <maanavdalal@microsoft.com>
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Co-authored-by: MaanavD <maanavdalal@microsoft.com>
### Description
with-python.md does not currently include installation instructions for
CUDA 12.X, so I added the instructions from
https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements.
### Motivation and Context
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### Description
File previously included TOC placeholder instead of actual TOC
### Motivation and Context
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### Description
CUDA-ExecutionProvider.md table of contents previously not showing up
correctly b/c of spacing issue.
### Motivation and Context
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Update the document for PR: Enable Cross-Compiling Support for ONNX
Runtime on Linux for RISC-V 64-bit.
https://github.com/microsoft/onnxruntime/pull/19238
Signed-off-by: Phoebe Chen <phoebe.chen@sifive.com>
- doc suggests that QDQ model are created with dynamic quant, which is
not the case anymore.
- updating and restructuring the doc
### Description
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- QDQ model format representation doesn't come for dynamic quantization,
but the doc was suggesting.
- May be a couple of years back this support was there but not anymore
### Motivation and Context
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- Clears misunderstanding that QDQ Onnx models can be created with
dynamic quantization.
https://github.com/microsoft/onnxruntime/issues/20125
Get Started table currently only includes instructions for
Windows/Python/X64/CUDA and Linux/Python/X64/CUDA for (default) CUDA
11.8. Updating to include installation instructions for CUDA 12.X as
well.
This PR update docs of Ascend CANN excution provider doc for #20075
### Changes
1. Add new option
`dump_om_model`: Whether to dump the OM(Offlined Model for Aasend Npu)
to disk
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Co-authored-by: Tianlei Wu <tlwu@microsoft.com>
### Description
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### Motivation and Context
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(1) Add CUDA and cuDNN installation section to ORT installation.
(2) For build, TRT EP refers to CUDA EP for CUDA/cuDNN installation to avoid duplication.
(3) Add comments about CUDA/cuDNN compatiblility
update to link to Qualcomm SDK docs
### Description
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### Motivation and Context
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