Fix MiniLM Swift 6.2 CoreML compatibility on macOS

Author: christopherkarani

Sources/WaxVectorSearchMiniLM/CoreML/MiniLMEmbeddings.swift

@@ -271,11 +271,9 @@ private extension MiniLMEmbeddings {
                 let float16Ptr = embeddings.dataPointer.bindMemory(to: Float16.self, capacity: elementCount)
                 return (0..<batch).map { row in
                     let start = row * dim
-                    var vector = [Float](repeating: 0, count: dim)
-                    // Use Accelerate SIMD for 8-16x faster Float16→Float32 conversion
-                    let srcPtr = float16Ptr.advanced(by: start)
-                    vDSP.convertElements(of: UnsafeBufferPointer(start: srcPtr, count: dim), to: &vector)
-                    return vector
+                    return (0..<dim).map { col in
+                        Float(float16Ptr[start + col])
+                    }
                 }
             }
         }

Sources/WaxVectorSearchMiniLM/CoreML/all-MiniLM-L6-v2.swift

@@ -55,13 +55,11 @@ public class all_MiniLM_L6_v2Output : MLFeatureProvider {
     }
 
     /// var_554 as multidimensional array of 16-bit floats
-    #if (os(macOS) || targetEnvironment(macCatalyst)) && arch(x86_64)
-    @available(macOS, unavailable)
-    @available(macCatalyst, unavailable)
-    #endif
+    #if !(os(macOS) || targetEnvironment(macCatalyst))
     public var var_554ShapedArray: MLShapedArray<Float16> {
         MLShapedArray<Float16>(var_554)
     }
+    #endif
 
     public var featureNames: Set<String> {
         provider.featureNames

Sources/WaxVectorSearchMiniLM/MiniLMEmbedder.swift

@@ -4,14 +4,11 @@ import WaxVectorSearch
 #if canImport(CoreML)
 @preconcurrency import CoreML
 #if canImport(OSLog)
-import OSLog
+@preconcurrency import OSLog
 #endif
 
 extension MiniLMEmbeddings: @unchecked Sendable {}
 
-// MARK: - Logging
-private let logger = Logger(subsystem: "com.wax.vectormodel", category: "MiniLMEmbedder")
-
 /// High-performance MiniLM embedder with batch support for optimal ANE/GPU utilization.
 /// Implements BatchEmbeddingProvider for significant throughput improvements during ingest.
 @available(macOS 15.0, iOS 18.0, *)
@@ -80,10 +77,13 @@ public actor MiniLMEmbedder: EmbeddingProvider, BatchEmbeddingProvider {
     }
 
     private nonisolated func logComputeUnits() {
+#if canImport(OSLog)
+        let logger = Logger(subsystem: "com.wax.vectormodel", category: "MiniLMEmbedder")
         let units = currentComputeUnits()
         let aneAvailable = isUsingANE()
         logger.info("MiniLMEmbedder initialized with computeUnits: \(units.rawValue, privacy: .public)")
         logger.info("ANE configured: \(aneAvailable ? "Yes" : "No", privacy: .public)")
+#endif
 
         // TODO: Expose MLModelConfiguration knobs (e.g. low-precision accumulation) for more tuning.
     }