next build (#8539)

* add build to .dockerignore

* test: only build one arch

* add build to .gitignore

* fix ccache path

* filter amdgpu targets

* only filter if autodetecting

* Don't clobber gpu list for default runner

This ensures the GPU specific environment variables are set properly

* explicitly set CXX compiler for HIP

* Update build_windows.ps1

This isn't complete, but is close.  Dependencies are missing, and it only builds the "default" preset.

* build: add ollama subdir

* add .git to .dockerignore

* docs: update development.md

* update build_darwin.sh

* remove unused scripts

* llm: add cwd and build/lib/ollama to library paths

* default DYLD_LIBRARY_PATH to LD_LIBRARY_PATH in runner on macOS

* add additional cmake output vars for msvc

* interim edits to make server detection logic work with dll directories like lib/ollama/cuda_v12

* remove unncessary filepath.Dir, cleanup

* add hardware-specific directory to path

* use absolute server path

* build: linux arm

* cmake install targets

* remove unused files

* ml: visit each library path once

* build: skip cpu variants on arm

* build: install cpu targets

* build: fix workflow

* shorter names

* fix rocblas install

* docs: clean up development.md

* consistent build dir removal in development.md

* silence -Wimplicit-function-declaration build warnings in ggml-cpu

* update readme

* update development readme

* llm: update library lookup logic now that there is one runner (#8587)

* tweak development.md

* update docs

* add windows cuda/rocm tests

---------

Co-authored-by: jmorganca <jmorganca@gmail.com>
Co-authored-by: Daniel Hiltgen <daniel@ollama.com>

server/routes.go

@@ -33,7 +33,6 @@ import (
 	"github.com/ollama/ollama/llm"
 	"github.com/ollama/ollama/model/mllama"
 	"github.com/ollama/ollama/openai"
-	"github.com/ollama/ollama/runners"
 	"github.com/ollama/ollama/template"
 	"github.com/ollama/ollama/types/errtypes"
 	"github.com/ollama/ollama/types/model"
@@ -1259,14 +1258,6 @@ func Serve(ln net.Listener) error {
 		done()
 	}()
 
-	// Locate and log what runners are present at startup
-	var runnerNames []string
-	for v := range runners.GetAvailableServers() {
-		runnerNames = append(runnerNames, v)
-	}
-	slog.Info("Dynamic LLM libraries", "runners", runnerNames)
-	slog.Debug("Override detection logic by setting OLLAMA_LLM_LIBRARY")
-
 	s.sched.Run(schedCtx)
 
 	// At startup we retrieve GPU information so we can get log messages before loading a model