[Performance] Missing CUDA Kernal for Pad, MaxPool, ConvTranspose opset 19-23

### Describe the issue

Starting Opset 19 I have this missing cuda kernel
```
[I:onnxruntime:, cuda_execution_provider.cc:2922 GetCapability] CUDA kernel not found in registries for Op type: Pad node name: node_pad_3
```
And starting opset 22 I have both two more warning
```
[I:onnxruntime:, cuda_execution_provider.cc:2922 GetCapability] CUDA kernel not found in registries for Op type: MaxPool node name: node_max_pool2d_2
[I:onnxruntime:, cuda_execution_provider.cc:2922 GetCapability] CUDA kernel not found in registries for Op type: ConvTranspose node name: node_convolution_1
```

I don't know If there much difference introduced by Pad op19+ and MaxPool, ConvTranspose op23+ but it would be much appreciated to have kernel for thoses Ops

This is like https://github.com/microsoft/onnxruntime/pull/26075

### To reproduce

NA

### Urgency

_No response_

### Platform

Linux

### OS Version

Ubuntu 24.04

### ONNX Runtime Installation

Released Package

### ONNX Runtime Version or Commit ID

1.23.1

### ONNX Runtime API

Python

### Architecture

X64

### Execution Provider

CUDA

### Execution Provider Library Version

CUDA 12.9

### Model File

_No response_

### Is this a quantized model?

No

Start at cuda_execution_provider.cc:2922 and trace the CUDA kernel registries for Pad, MaxPool, and ConvTranspose. Compare the relevant opset 19–23 operator definitions and existing kernel tests; done means the required kernels are registered and the reported warnings no longer occur for those opsets.

Written by the indexing model from the issue text.