schwa · September 18, 2025 19:05 · schwa · Sep 18, 2025 · schwa · Sep 18, 2025
diff --git a/functions.swift b/functions.swift
 // https://developer.apple.com/videos/play/wwdc2020/10013
 // Using Metal Visible Functions:
 // 1. Define a function pointer type alias in the kernel (e.g., `using OperationFunction = float(float, constant void *)`)
 // 2. Kernel takes a `visible_function_table<FunctionType>` parameter
 // 3. Mark functions as `[[visible]]` in Metal shader code
 // 4. Use MTLLinkedFunctions to link visible functions when creating the compute pipeline
 // 5. Create MTLVisibleFunctionTable and populate with function handles from the pipeline
 // 6. Pass the visible function table to compute encoder with setVisibleFunctionTable()
 // 7. Access functions in kernel via table index: `operationFunctions[index]`

 import Metal

 func main() {
    let device = MTLCreateSystemDefaultDevice()!

    // MARK: Setup input buffer with data.

    let count = 10
    let bufferSize = count * MemoryLayout<Float>.size
    let buffer = device.makeBuffer(length: bufferSize, options: .storageModeShared)!

    let pointer = buffer.contents().bindMemory(to: Float.self, capacity: count)
    for i in 0..<count {
        pointer[i] = Float(i + 1)
    }

    print("Before: \((0..<count).map { pointer[$0] })")

    // MARK: Compile the compute kernel that uses a visible function table.

    let kernelSource = """
        #include <metal_stdlib>
        using namespace metal;

        using OperationFunction = float(float, constant void *);

        kernel void doubleValues(
            device float* buffer [[buffer(0)]],
            visible_function_table<OperationFunction> operationFunctions [[buffer(1)]],
            constant int &functionIndex [[buffer(2)]],
            constant void *functionParameter [[buffer(3)]],
            uint index [[thread_position_in_grid]]
        ) {
            auto operationFunction = operationFunctions[functionIndex];
            buffer[index] = operationFunction(buffer[index], functionParameter);
        }
    """
    let kernelLibrary = try! device.makeLibrary(source: kernelSource, options: nil)
    let kernelFunction = kernelLibrary.makeFunction(name: "doubleValues")!

    // MARK: Compile the "helper" functions that will be called via the visible function table.

    let operationSource = """
        // Both functions need the same signature to match OperationFunction type, but we dont need to use parameter here
        [[visible]] float times2(float value, constant void *) {
            return value * 2.0;
        }
        // The kernel thinks it's a `void *` but we think it's a `float &` and through the power of no-type safety we can do what we want!
        [[visible]] float timesN(float value, constant float &parameter) {
            return value * parameter;
        }
    """
    let operationLibrary = try! device.makeLibrary(source: operationSource, options: nil)
    let times2Function = operationLibrary.makeFunction(name: "times2")!
    let timesNFunction = operationLibrary.makeFunction(name: "timesN")!
    let linkedFunctions = MTLLinkedFunctions()
    linkedFunctions.functions = [times2Function, timesNFunction]

    // MARK: Create the pipeline with the kernel function and the linked functions.

    let computePipelineDescriptor = MTLComputePipelineDescriptor()
    computePipelineDescriptor.computeFunction = kernelFunction
    computePipelineDescriptor.linkedFunctions = linkedFunctions
    let computePipeline = try! device.makeComputePipelineState(descriptor: computePipelineDescriptor, options: [], reflection: nil)

    // MARK: Create and populate the visible function table. We'll be choosing at runtime which function to call.

    let visibleFunctionTableDescriptor = MTLVisibleFunctionTableDescriptor()
    visibleFunctionTableDescriptor.functionCount = 2
    let visibleFunctionTable = computePipeline.makeVisibleFunctionTable(descriptor: visibleFunctionTableDescriptor)!
    visibleFunctionTable.setFunction(computePipeline.functionHandle(function: times2Function)!, index:0)
    visibleFunctionTable.setFunction(computePipeline.functionHandle(function: timesNFunction)!, index:1)

    // MARK: Start the compute pass.

    for index in 0..<2 {
        let commandQueue = device.makeCommandQueue()!
        let commandBuffer = commandQueue.makeCommandBuffer()!

        // MARK: Set up the compute encoder. Give it our visible function table.

        let computeEncoder = commandBuffer.makeComputeCommandEncoder()!
        computeEncoder.setComputePipelineState(computePipeline)
        computeEncoder.setBuffer(buffer, offset: 0, index: 0)
        computeEncoder.setVisibleFunctionTable(visibleFunctionTable, bufferIndex: 1)
        withUnsafeBytes(of: UInt32(index)) { bytes in
            let bytes = UnsafeRawBufferPointer(bytes)
            computeEncoder.setBytes(bytes.baseAddress!, length: bytes.count, index: 2)
        }
        withUnsafeBytes(of: Float(10.0)) { bytes in
            let bytes = UnsafeRawBufferPointer(bytes)
            computeEncoder.setBytes(bytes.baseAddress!, length: bytes.count, index: 3)
        }

        // MARK: Dispatch the compute work.

        let threadsPerGrid = MTLSize(width: count, height: 1, depth: 1)
        let threadsPerThreadgroup = MTLSize(width: computePipeline.maxTotalThreadsPerThreadgroup, height: 1, depth: 1)
        computeEncoder.dispatchThreads(threadsPerGrid, threadsPerThreadgroup: threadsPerThreadgroup)

        // MARK: End the compute pass and wait for it to finish.

        computeEncoder.endEncoding()
        commandBuffer.commit()
        commandBuffer.waitUntilCompleted()

        // MARK: Print the results.

        print("After operation #\(index): \((0..<count).map { pointer[$0] })")
    }
 }

 main()
	// https://developer.apple.com/videos/play/wwdc2020/10013
	// Using Metal Visible Functions:
	// 1. Define a function pointer type alias in the kernel (e.g., `using OperationFunction = float(float, constant void *)`)
	// 2. Kernel takes a `visible_function_table<FunctionType>` parameter
	// 3. Mark functions as `[[visible]]` in Metal shader code
	// 4. Use MTLLinkedFunctions to link visible functions when creating the compute pipeline
	// 5. Create MTLVisibleFunctionTable and populate with function handles from the pipeline
	// 6. Pass the visible function table to compute encoder with setVisibleFunctionTable()
	// 7. Access functions in kernel via table index: `operationFunctions[index]`

	import Metal

	func main() {
	let device = MTLCreateSystemDefaultDevice()!

	// MARK: Setup input buffer with data.

	let count = 10
	let bufferSize = count * MemoryLayout<Float>.size
	let buffer = device.makeBuffer(length: bufferSize, options: .storageModeShared)!

	let pointer = buffer.contents().bindMemory(to: Float.self, capacity: count)
	for i in 0..<count {
	pointer[i] = Float(i + 1)
	}

	print("Before: \((0..<count).map { pointer[$0] })")

	// MARK: Compile the compute kernel that uses a visible function table.

	let kernelSource = """
	#include <metal_stdlib>
	using namespace metal;

	using OperationFunction = float(float, constant void *);

	kernel void doubleValues(
	device float* buffer [[buffer(0)]],
	visible_function_table<OperationFunction> operationFunctions [[buffer(1)]],
	constant int &functionIndex [[buffer(2)]],
	constant void *functionParameter [[buffer(3)]],
	uint index [[thread_position_in_grid]]
	) {
	auto operationFunction = operationFunctions[functionIndex];
	buffer[index] = operationFunction(buffer[index], functionParameter);
	}
	"""
	let kernelLibrary = try! device.makeLibrary(source: kernelSource, options: nil)
	let kernelFunction = kernelLibrary.makeFunction(name: "doubleValues")!

	// MARK: Compile the "helper" functions that will be called via the visible function table.

	let operationSource = """
	// Both functions need the same signature to match OperationFunction type, but we dont need to use parameter here
	[[visible]] float times2(float value, constant void *) {
	return value * 2.0;
	}
	// The kernel thinks it's a `void *` but we think it's a `float &` and through the power of no-type safety we can do what we want!
	[[visible]] float timesN(float value, constant float &parameter) {
	return value * parameter;
	}
	"""
	let operationLibrary = try! device.makeLibrary(source: operationSource, options: nil)
	let times2Function = operationLibrary.makeFunction(name: "times2")!
	let timesNFunction = operationLibrary.makeFunction(name: "timesN")!
	let linkedFunctions = MTLLinkedFunctions()
	linkedFunctions.functions = [times2Function, timesNFunction]

	// MARK: Create the pipeline with the kernel function and the linked functions.

	let computePipelineDescriptor = MTLComputePipelineDescriptor()
	computePipelineDescriptor.computeFunction = kernelFunction
	computePipelineDescriptor.linkedFunctions = linkedFunctions
	let computePipeline = try! device.makeComputePipelineState(descriptor: computePipelineDescriptor, options: [], reflection: nil)

	// MARK: Create and populate the visible function table. We'll be choosing at runtime which function to call.

	let visibleFunctionTableDescriptor = MTLVisibleFunctionTableDescriptor()
	visibleFunctionTableDescriptor.functionCount = 2
	let visibleFunctionTable = computePipeline.makeVisibleFunctionTable(descriptor: visibleFunctionTableDescriptor)!
	visibleFunctionTable.setFunction(computePipeline.functionHandle(function: times2Function)!, index:0)
	visibleFunctionTable.setFunction(computePipeline.functionHandle(function: timesNFunction)!, index:1)

	// MARK: Start the compute pass.

	for index in 0..<2 {
	let commandQueue = device.makeCommandQueue()!
	let commandBuffer = commandQueue.makeCommandBuffer()!

	// MARK: Set up the compute encoder. Give it our visible function table.

	let computeEncoder = commandBuffer.makeComputeCommandEncoder()!
	computeEncoder.setComputePipelineState(computePipeline)
	computeEncoder.setBuffer(buffer, offset: 0, index: 0)
	computeEncoder.setVisibleFunctionTable(visibleFunctionTable, bufferIndex: 1)
	withUnsafeBytes(of: UInt32(index)) { bytes in
	let bytes = UnsafeRawBufferPointer(bytes)
	computeEncoder.setBytes(bytes.baseAddress!, length: bytes.count, index: 2)
	}
	withUnsafeBytes(of: Float(10.0)) { bytes in
	let bytes = UnsafeRawBufferPointer(bytes)
	computeEncoder.setBytes(bytes.baseAddress!, length: bytes.count, index: 3)
	}

	// MARK: Dispatch the compute work.

	let threadsPerGrid = MTLSize(width: count, height: 1, depth: 1)
	let threadsPerThreadgroup = MTLSize(width: computePipeline.maxTotalThreadsPerThreadgroup, height: 1, depth: 1)
	computeEncoder.dispatchThreads(threadsPerGrid, threadsPerThreadgroup: threadsPerThreadgroup)

	// MARK: End the compute pass and wait for it to finish.

	computeEncoder.endEncoding()
	commandBuffer.commit()
	commandBuffer.waitUntilCompleted()

	// MARK: Print the results.

	print("After operation #\(index): \((0..<count).map { pointer[$0] })")
	}
	}

	main()
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