…vior (#23856)

### Description

Resolve #23817



### 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

#### Background

From code search, the following EPs use
`onnxruntime::GetCpuPreferredNodes()` in their `GetCapabilities()`
methods:
- CANN
- CUDA
- DML
- JS
- ROCM
- WebGPU

However, the source file that implements
`onnxruntime::GetCpuPreferredNodes()` is excluded when minimal build is
ON:
https://github.com/microsoft/onnxruntime/blob/6df0973e58ba5399fcaa98686f70ed9a9e59aaef/cmake/onnxruntime_framework.cmake#L38-L42

This means that all EPs mentioned above is not able to compile with
minimal build.

#### Solution

The excluded file `core/framework/fallback_cpu_capability.cc` cannot
build in minimal build because some of its dependencies are not included
in the minimal build. However, in extended minimal build mode, all
dependencies are available.

This PR looses the restrict and allows to compile this file when it is
extended minimal build. After this change, those EPs are able to compile
in extended minimal build.

### Description

Add `dawn` to ThirdPartyNotices.

…#23892)

### Description
When using the enable_htp_shared_memory feature, we see that the address
of the buffer passed to rpcmem_free is incorrect. So the rpc buffers are
not freed leading to memory exhaustion.

### Motivation and Context
When using the enable_htp_shared_memory_allocator feature for QNN in
GenAI extensions, it leads to inference failures during the second
prompt. As GenAI memory asks are higher, it surfaces sooner in gen AI
use cases.

Co-authored-by: Ashish Garg <ashigarg@qti.qualcomm.com>