Use runners for GPU discovery (#12090)

This revamps how we discover GPUs in the system by leveraging the Ollama
runner.  This should eliminate inconsistency between our GPU discovery and the
runners capabilities at runtime, particularly for cases where we try to filter
out unsupported GPUs.  Now the runner does that implicitly based on the actual
device list.  In some cases free VRAM reporting can be unreliable which can
leaad to scheduling mistakes, so this also includes a patch to leverage more
reliable VRAM reporting libraries if available.

Automatic workarounds have been removed as only one GPU leveraged this, which
is now documented. This GPU will soon fall off the support matrix with the next
ROCm bump.

Additional cleanup of the scheduler and discovery packages can be done in the
future once we have switched on the new memory management code, and removed
support for the llama runner.

integration/utils_test.go

@@ -264,14 +264,13 @@ var (
 	rainbowFollowups = []string{
 		"Explain the physics involved in them.  Be breif in your reply",
 		"Explain the chemistry involved in them.  Be breif in your reply",
-		"Explain the quantum mechanics involved in them. Be breif in your reply",
 		"What are common myths related to them? Be brief in your reply",
 		"What are common fairytales related to them? Be brief in your reply",
 		"Can they form if there is no rain?  Be breif in your reply",
 		"Can they form if there are no clouds?  Be breif in your reply",
 		"Do they happen on other planets? Be brief in your reply",
 	}
-	rainbowExpected = []string{"water", "droplet", "mist", "glow", "refracted", "reflect", "color", "spectrum", "frequency", "end", "gold", "fortune", "blessing", "prosperity"}
+	rainbowExpected = []string{"water", "droplet", "mist", "glow", "refract", "reflect", "scatter", "wave", "color", "spectrum", "raindrop", "atmosphere", "frequency", "end", "gold", "fortune", "blessing", "prosperity", "magic", "shower", "sky", "shimmer", "light", "storm", "sunny"}
 )
 
 func init() {
@@ -456,6 +455,24 @@ func InitServerConnection(ctx context.Context, t *testing.T) (*api.Client, strin
 			t.Fatal(err)
 		}
 	}
+	// Make sure server is online and healthy before returning
+	listCtx, cancel := context.WithDeadlineCause(
+		ctx,
+		time.Now().Add(120*time.Second),
+		fmt.Errorf("list models took too long"),
+	)
+	defer cancel()
+	models, err := client.ListRunning(listCtx)
+	if err != nil {
+		t.Fatal(err)
+	}
+	if len(models.Models) > 0 {
+		names := make([]string, len(models.Models))
+		for i, m := range models.Models {
+			names[i] = m.Name
+		}
+		slog.Info("currently loaded", "models", names)
+	}
 
 	return client, testEndpoint, func() {
 		if os.Getenv("OLLAMA_TEST_EXISTING") == "" {
@@ -577,7 +594,7 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
 				KeepAlive: &api.Duration{Duration: 10 * time.Second},
 			}, {
 				Model:     smol,
-				Prompt:    "how do rainbows form? Be brief but factual in your reply",
+				Prompt:    rainbowPrompt,
 				Stream:    &stream,
 				KeepAlive: &api.Duration{Duration: 10 * time.Second},
 			}, {
@@ -595,7 +612,7 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
 		[][]string{
 			{"sunlight", "scatter", "interact", "color", "surface", "depth", "red", "orange", "yellow", "absorb", "wavelength", "water", "molecule"},
 			{"soil", "organic", "earth", "black", "tan", "chemical", "processes", "pigment", "particle", "iron oxide", "rust", "air", "water", "wet", "mixture", "mixing", "mineral", "element", "decomposed", "matter", "wavelength"},
-			{"water", "droplet", "refract", "reflect", "color", "spectrum", "raindrop"},
+			rainbowExpected,
 			{"fourth", "july", "declaration", "independence"},
 			{"nitrogen", "oxygen", "carbon", "dioxide", "water", "vapor", "fluid", "particles", "gas"},
 		}