Adds QNN EP HTP shared memory allocator.

The HTP shared memory allocator (`HtpSharedMemoryAllocator`) calls the
rpcmem shared library (libcdsprpc.so/dll) to allocate and free memory
that can be shared between HTP and CPU.

The allocator can be enabled by setting QNN EP option
`enable_htp_shared_memory_allocator` to `1`.
`QNNExecutionProvider::CreatePreferredAllocators()` will then return an
instance of `HtpSharedMemoryAllocator`.

For each QNN context, we also need to register and unregister memory
handles in order to use the HTP shared memory. This memory handle
management is added to `QnnBackendManager`, which also manages the QNN
context handles.

For more information about using HTP shared memory with QNN, see:
https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/htp_shared_buffer_tutorial.html#shared-buffer-tutorial

Limitations:
- HTP shared memory usage is only supported for graph inputs and
outputs. Intermediate values are not supported.
- An allocation is assigned to a single shared memory buffer. The
allocator is not smart enough to have multiple allocations share a
single shared memory buffer.

Co-authored-by: Baiju Meswani <bmeswani@microsoft.com>

Adds QNN EP HTP shared memory allocator.

The HTP shared memory allocator (`HtpSharedMemoryAllocator`) calls the
rpcmem shared library (libcdsprpc.so/dll) to allocate and free memory
that can be shared between HTP and CPU.

The allocator can be enabled by setting QNN EP option
`enable_htp_shared_memory_allocator` to `1`.
`QNNExecutionProvider::CreatePreferredAllocators()` will then return an
instance of `HtpSharedMemoryAllocator`.

For each QNN context, we also need to register and unregister memory
handles in order to use the HTP shared memory. This memory handle
management is added to `QnnBackendManager`, which also manages the QNN
context handles.

For more information about using HTP shared memory with QNN, see:
https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/htp_shared_buffer_tutorial.html#shared-buffer-tutorial

Limitations:
- HTP shared memory usage is only supported for graph inputs and
outputs. Intermediate values are not supported.
- An allocation is assigned to a single shared memory buffer. The
allocator is not smart enough to have multiple allocations share a
single shared memory buffer.

Co-authored-by: Baiju Meswani <bmeswani@microsoft.com>

…24196)

### Description
During inference, using the QNN EP option to set enable_htp_shared_memory_allocator gives a hint that we use RPC allocated buffers to avoid buffer copy between CPU and NPU.

With the current PR, we add hints in the compilation phase that if RPC memory is going to be used, any additional  allocations done on the CPU can be avoided.

### Motivation and Context
This should help reduce the peak CPU memory consumption while running AI work loads using shared memory.

Related PR: #23136

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

…icrosoft#24196)

### Description
During inference, using the QNN EP option to set enable_htp_shared_memory_allocator gives a hint that we use RPC allocated buffers to avoid buffer copy between CPU and NPU.

With the current PR, we add hints in the compilation phase that if RPC memory is going to be used, any additional  allocations done on the CPU can be avoided.

### Motivation and Context
This should help reduce the peak CPU memory consumption while running AI work loads using shared memory.

Related PR: microsoft#23136

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