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We update the PATH on windows to get the CLI mapped, but this has
an unintended side effect of causing other apps that may use our bundled
DLLs to get terminated when we upgrade.

* llm: update llama.cpp submodule to `7c26775`

* disable `LLAMA_BLAS` for now

* `-DLLAMA_OPENMP=off`

Signed-off-by: Lei Jitang <leijitang@outlook.com>

* gpu: add env var for detecting intel oneapi gpus

* fix build error

Add some more debugging logs for intel discovery

Also removes an unused overall count variable

* Add Mod Time to Show

* Error Handling

* docs: add missing instruction for powershell build

The powershell script for building Ollama on Windows now requires the `ThreadJob` module. Add this to the instructions and dependency list.

* Update development.md

gpu: Fix build warning

More parallelism on windows generate

Make the build faster

Rocm gfx900 workaround

Rocm v6 bump

Centralize GPU configuration vars

Signed-off-by: Lei Jitang <leijitang@outlook.com>

fix: "Skip searching for network devices"

This should aid in troubleshooting by capturing and reporting the GPU
settings at startup in the logs along with all the other server settings.

Implement support for GPU env var workarounds, and leverage
this for the Vega RX 56 which needs
HSA_ENABLE_SDMA=0 set to work properly

Enhanced GPU discovery and multi-gpu support with concurrency

While models are loading, the VRAM metrics are dynamic, so try
to load on a GPU that doesn't have a model actively loading, or wait
to avoid races that lead to OOMs

This library will give us the most reliable free VRAM reporting on windows
to enable concurrent model scheduling.

adjust timing on some tests so they don't timeout on small/slow GPUs

Our default behavior today is to try to fit into a single GPU if possible.
Some users would prefer the old behavior of always spreading across
multiple GPUs even if the model can fit into one.  This exposes that
tunable behavior.

Still not complete, needs some refinement to our prediction to understand the
discrete GPUs available space so we can see how many layers fit in each one
since we can't split one layer across multiple GPUs we can't treat free space
as one logical block

This worked remotely but wound up trying to spawn multiple servers
locally which doesn't work

Now that we call the GPU discovery routines many times to
update memory, this splits initial discovery from free memory
updating.

The amdgpu drivers free VRAM reporting omits some other apps, so leverage the
upstream DRM driver which keeps better tabs on things

This reverts commit 476fb8e8.

Actually skip PhysX on windows