add option for python training nightly installation for cuda 12 (#19246)

Add an option for installing ort-training nightly build for cuda 12.2
scenario

### 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. -->

src/routes/getting-started/table.svelte

@@ -56,8 +56,8 @@
 	const TrainingPlatformIds = ['ot_linux', 'ot_windows', 'ot_mac', 'ot_android', 'ot_ios'];
 	const TrainingAPIs = ['Python', 'C', 'C++', 'C#', 'Java', 'Obj-C'];
 	const TrainingAPIIds = ['ot_python', 'ot_c', 'ot_cplusplus', 'ot_csharp', 'ot_java', 'ot_objc'];
-	const TrainingVersions = ['CUDA 11.8', 'ROCm', 'CPU'];
-	const TrainingVersionIds = ['ot_CUDA118', 'ot_ROCm', 'ot_CPU'];
+	const TrainingVersions = ['CUDA 11.8', 'CUDA 12.2', 'ROCm', 'CPU'];
+	const TrainingVersionIds = ['ot_CUDA118', 'ot_CUDA122', 'ot_ROCm', 'ot_CPU'];
 	const TrainingBuilds = ['Stable', 'Preview (Nightly)'];
 	const TrainingBuildIds = ['ot_stable', 'ot_nightly'];
 	const validCombos = {
@@ -690,6 +690,9 @@
 		'ot_linux,ot_large_model,ot_python,ot_X64,ot_CUDA118,ot_nightly':
 			'python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ onnxruntime-training<br/>pip install torch-ort<br/>python -m torch_ort.configure',
 
+		'ot_linux,ot_large_model,ot_python,ot_X64,ot_CUDA122,ot_nightly':
+			'python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ort-cuda-12-nightly/pypi/simple/ onnxruntime-training<br/>pip install torch-ort<br/>python -m torch_ort.configure',
+
 		'ot_linux,ot_large_model,ot_python,ot_X64,ot_ROCm,ot_stable':
 			"pip install onnxruntime-training -f https://download.onnxruntime.ai/onnxruntime_stable_<b>&lt;rocm_version*</b>&gt;.html<br/>pip install torch-ort<br/>python -m torch_ort.configure<br/><br/>*<a class='text-blue-500' href='https://download.onnxruntime.ai/' target='blank'>Available versions</a>",
 
@@ -2018,7 +2021,7 @@
 				aria-labelledby="ot_selectHardwareAcceleration"
 				aria-describedby="ot_decriptionHardwareAcceleration"
 			>
-				<div class="grid grid-cols-3 gap-4 ot_hardwareAcceleration">
+				<div class="grid grid-cols-4 gap-4 ot_hardwareAcceleration">
 					{#each TrainingVersions as version, i}
 						<a
 							class="r-option version join-item btn rounded"