Onnxruntime nightly install (#22529)

microsoft · Oct 25, 2024 · 381b610 · 381b610
1 parent 5775e39
commit 381b610
Show file tree

Hide file tree

Showing 6 changed files with 67 additions and 45 deletions.
diff --git a/docs/execution-providers/QNN-ExecutionProvider.md b/docs/execution-providers/QNN-ExecutionProvider.md
@@ -43,7 +43,7 @@ Note: Starting version 1.18.0 , you do not need to separately download and insta
     - Python 3.11.x
     - Numpy 1.25.2 or >= 1.26.4
   - Install: `pip install onnxruntime-qnn`
-  - Install nightly package `python -m pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ort-nightly-qnn`
+  - Install nightly package `python -m pip install --pre --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple onnxruntime-qnn`
 
 ## Qualcomm AI Hub
 Qualcomm AI Hub can be used to optimize and run models on Qualcomm hosted devices.

diff --git a/docs/get-started/with-c.md b/docs/get-started/with-c.md
@@ -20,7 +20,7 @@ nav_order: 3
 | [Microsoft.ML.OnnxRuntime](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime) | CPU (Release) |Windows, Linux,  Mac, X64, X86 (Windows-only), ARM64 (Windows-only)...more details: [compatibility](../reference/compatibility) |
 | [Microsoft.ML.OnnxRuntime.Gpu](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.gpu) | GPU - CUDA (Release) | Windows, Linux, Mac, X64...more details: [compatibility](../reference/compatibility) |
 | [Microsoft.ML.OnnxRuntime.DirectML](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.directml) | GPU - DirectML (Release) | Windows 10 1709+ |
-| [ort-nightly](https://aiinfra.visualstudio.com/PublicPackages/_packaging?_a=feed&feed=ORT-Nightly) | CPU, GPU (Dev), CPU (On-Device Training) | Same as Release versions |
+| [onnxruntime](https://aiinfra.visualstudio.com/PublicPackages/_packaging?_a=feed&feed=ORT-Nightly) | CPU, GPU (Dev), CPU (On-Device Training) | Same as Release versions |
 | [Microsoft.ML.OnnxRuntime.Training](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime) | CPU On-Device Training (Release) |Windows, Linux,  Mac, X64, X86 (Windows-only), ARM64 (Windows-only)...more details: [compatibility](../reference/compatibility) |
 
 

diff --git a/docs/get-started/with-cpp.md b/docs/get-started/with-cpp.md
@@ -20,7 +20,7 @@ nav_order: 2
 | [Microsoft.ML.OnnxRuntime](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime) | CPU (Release) |Windows, Linux,  Mac, X64, X86 (Windows-only), ARM64 (Windows-only)...more details: [compatibility](../reference/compatibility.md) |
 | [Microsoft.ML.OnnxRuntime.Gpu](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.gpu) | GPU - CUDA (Release) | Windows, Linux, Mac, X64...more details: [compatibility](../reference/compatibility.md) |
 | [Microsoft.ML.OnnxRuntime.DirectML](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.directml) | GPU - DirectML (Release) | Windows 10 1709+ |
-| [ort-nightly](https://aiinfra.visualstudio.com/PublicPackages/_packaging?_a=feed&feed=ORT-Nightly) | CPU, GPU (Dev), CPU (On-Device Training) | Same as Release versions |
+| [onnxruntime](https://aiinfra.visualstudio.com/PublicPackages/_packaging?_a=feed&feed=ORT-Nightly) | CPU, GPU (Dev), CPU (On-Device Training) | Same as Release versions |
 | [Microsoft.ML.OnnxRuntime.Training](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime) | CPU On-Device Training (Release) |Windows, Linux,  Mac, X64, X86 (Windows-only), ARM64 (Windows-only)...more details: [compatibility](../reference/compatibility.md) |
 
 .zip and .tgz files are also included as assets in each [Github release](https://github.com/microsoft/onnxruntime/releases).

diff --git a/docs/get-started/with-csharp.md b/docs/get-started/with-csharp.md
@@ -217,7 +217,7 @@ The ONNX runtime provides a C# .NET binding for running inference on ONNX models
 | [Microsoft.ML.OnnxRuntime](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime) | CPU (Release) |Windows, Linux,  Mac, X64, X86 (Windows-only), ARM64 (Windows-only)...more details: [compatibility](../reference/compatibility.md) |
 | [Microsoft.ML.OnnxRuntime.Gpu](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.gpu) | GPU - CUDA (Release) | Windows, Linux, Mac, X64...more details: [compatibility](../reference/compatibility.md) |
 | [Microsoft.ML.OnnxRuntime.DirectML](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.directml) | GPU - DirectML (Release) | Windows 10 1709+ |
-| [ort-nightly](https://aiinfra.visualstudio.com/PublicPackages/_packaging?_a=feed&feed=ORT-Nightly) | CPU, GPU (Dev), CPU (On-Device Training) | Same as Release versions |
+| [onnxruntime](https://aiinfra.visualstudio.com/PublicPackages/_packaging?_a=feed&feed=ORT-Nightly) | CPU, GPU (Dev), CPU (On-Device Training) | Same as Release versions |
 | [Microsoft.ML.OnnxRuntime.Training](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime) | CPU On-Device Training (Release) |Windows, Linux,  Mac, X64, X86 (Windows-only), ARM64 (Windows-only)...more details: [compatibility](../reference/compatibility.md) |
 
 

diff --git a/docs/get-started/with-python.md b/docs/get-started/with-python.md
@@ -253,29 +253,26 @@ print(pred_onx)
  <span class="fs-5"> [Go to the ORT Python API Docs](../api/python/api_summary.html){: .btn  .mr-4 target="_blank"} </span>
 
 ## Builds
+
 If using pip, run `pip install --upgrade pip` prior to downloading.
 
 | Artifact      | Description | Supported Platforms |
 |-----------    |-------------|---------------------|
 |[onnxruntime](https://pypi.org/project/onnxruntime)|CPU (Release)| Windows (x64), Linux (x64, ARM64), Mac (X64),  |
-|[ort-nightly](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/ort-nightly)|CPU (Dev)    | Same as above |
+|[nightly](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/onnxruntime)|CPU (Dev)    | Same as above |
 |[onnxruntime-gpu](https://pypi.org/project/onnxruntime-gpu)|GPU (Release)| Windows (x64), Linux (x64, ARM64) |
-|[ort-nightly-gpu for CUDA 11.*](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ort-cuda-11-nightly/PyPI/ort-nightly-gpu) |GPU (Dev) | Windows (x64), Linux (x64, ARM64) |
-|[ort-nightly-gpu for CUDA 12.*](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/ort-nightly-gpu) |GPU (Dev) | Windows (x64), Linux (x64, ARM64) |
+|[onnxruntime-gpu for CUDA 11.*](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ort-cuda-11-nightly/PyPI/onnxruntime-gpu) |GPU (Dev) | Windows (x64), Linux (x64, ARM64) |
+|[onnxruntime-gpu for CUDA 12.*](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/onnxruntime-gpu) |GPU (Dev) | Windows (x64), Linux (x64, ARM64) |
 
-Before installing nightly package, you will need install dependencies first.
-```
-python -m pip install coloredlogs flatbuffers numpy packaging protobuf sympy
-```
 
-Example to install ort-nightly-gpu for CUDA 11.*:
+Example to install onnxruntime-gpu for CUDA 11.*:
 ```
-python -m pip install ort-nightly-gpu --index-url=https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ort-cuda-11-nightly/pypi/simple/
+python -m pip install onnxruntime-gpu --extra-index-url=https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ort-cuda-11-nightly/pypi/simple/
 ```
 
-Example to install ort-nightly-gpu for CUDA 12.*:
+Example to install onnxruntime-gpu for CUDA 12.*:
 ```
-python -m pip install ort-nightly-gpu --index-url=https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/
+python -m pip install onnxruntime-gpu --pre --extra-index-url=https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/
 ```
 
 For Python compiler version notes, see [this page](https://github.com/microsoft/onnxruntime/tree/main/docs/Python_Dev_Notes.md)