Move sampling to a compute kernel

This commit is contained in:
Eryn Wells 2018-10-14 17:26:12 -07:00
parent d60b2d8744
commit 275b260cf9
5 changed files with 121 additions and 44 deletions

View file

@ -8,6 +8,7 @@
import Foundation
import Metal
import simd
class MarchingSquares {
private var field: Field
@ -15,10 +16,13 @@ class MarchingSquares {
private var semaphore: DispatchSemaphore
private var samplingPipeline: MTLComputePipelineState?
private var parametersBuffer: MTLBuffer?
/// Samples of the field's current state.
private(set) var samplesBuffer: MTLBuffer?
/// Indexes of geometry to render.
private(set) var indexes: MTLTexture?
private(set) var indexBuffer: MTLBuffer?
private(set) var gridGeometry: MTLBuffer?
@ -41,31 +45,45 @@ class MarchingSquares {
semaphore = DispatchSemaphore(value: 1)
}
func setupMetal(withDevice device: MTLDevice) {
// let samplesDesc = MTLTextureDescriptor()
// samplesDesc.textureType = .type2D
// samplesDesc.width = xSamples
// samplesDesc.height = ySamples
// samplesDesc.pixelFormat = .r32Float
// samples = device.makeTexture(descriptor: samplesDesc)
//
// let indexesDesc = MTLTextureDescriptor()
// indexesDesc.textureType = .type2D
// indexesDesc.width = xSamples - 1
// indexesDesc.height = ySamples - 1
// indexesDesc.pixelFormat = .a8Unorm
// indexes = device.makeTexture(descriptor: indexesDesc)
func setupMetal(withDevice device: MTLDevice, library: MTLLibrary) {
guard let samplingFunction = library.makeFunction(name: "samplingKernel") else {
fatalError("Couldn't get samplingKernel function from library")
}
do {
samplingPipeline = try device.makeComputePipelineState(function: samplingFunction)
} catch let e {
fatalError("Error building compute pipeline state for sampling kernel: \(e)")
}
let parametersLength = MemoryLayout<simd.packed_int2>.stride * 3 + MemoryLayout<simd.uint>.stride
parametersBuffer = device.makeBuffer(length: parametersLength, options: .storageModeShared)
populateParametersBuffer()
}
func fieldDidResize() {
guard let device = gridGeometry?.device else {
return
}
populateParametersBuffer()
populateGrid(withDevice: device)
populateSamples(withDevice: device)
lastSamplesCount = samplesCount
}
func populateParametersBuffer() {
guard let buffer = parametersBuffer else {
print("Tried to copy parameters buffer before buffer was allocated!")
return
}
let params: [uint] = [
field.size.x, field.size.y,
uint(xSamples), uint(ySamples),
sampleGridSize.x, sampleGridSize.y,
uint(field.balls.count)
]
memcpy(buffer.contents(), params, MemoryLayout<uint>.stride * params.count)
}
func populateGrid(withDevice device: MTLDevice) {
guard lastSamplesCount != samplesCount else {
return
@ -97,24 +115,45 @@ class MarchingSquares {
}
func populateSamples(withDevice device: MTLDevice) {
var samples = [Float]()
samples.reserveCapacity(samplesCount)
// var samples = [Float]()
// samples.reserveCapacity(samplesCount)
for ys in 0..<ySamples {
let y = Float(ys * Int(sampleGridSize.y))
for xs in 0..<xSamples {
let x = Float(xs * Int(sampleGridSize.x))
let sample = field.sample(at: Float2(x: x, y: y))
samples.append(sample)
}
}
// for ys in 0..<ySamples {
// let y = Float(ys * Int(sampleGridSize.y))
// for xs in 0..<xSamples {
// let x = Float(xs * Int(sampleGridSize.x))
// let sample = field.sample(at: Float2(x: x, y: y))
// samples.append(sample)
// }
// }
let samplesLength = MemoryLayout<Float>.stride * samplesCount
if let buffer = device.makeBuffer(length: MemoryLayout<Float>.stride * samples.count, options: .storageModeShared) {
memcpy(buffer.contents(), samples, samplesLength)
samplesBuffer = buffer
} else {
fatalError("Couldn't create buffer for samples")
samplesBuffer = device.makeBuffer(length: samplesLength, options: .storageModePrivate)
if samplesBuffer == nil {
fatalError("Couldn't create samplesBuffer!")
}
}
func encodeSamplingKernel(intoBuffer buffer: MTLCommandBuffer) {
guard let samplingPipeline = samplingPipeline else {
print("Encode called before sampling pipeline was set up!")
return
}
guard let encoder = buffer.makeComputeCommandEncoder() else {
print("Couldn't create compute encoder")
return
}
encoder.label = "Sample Field"
encoder.setComputePipelineState(samplingPipeline)
encoder.setBuffer(parametersBuffer, offset: 0, index: 0)
encoder.setBuffer(field.ballBuffer, offset: 0, index: 1)
encoder.setBuffer(samplesBuffer, offset: 0, index: 2)
// Dispatch!
let gridSize = MTLSize(width: xSamples, height: ySamples, depth: 1)
let threadgroupSize = MTLSize(width: xSamples, height: 1, depth: 1)
encoder.dispatchThreads(gridSize, threadsPerThreadgroup: threadgroupSize)
encoder.endEncoding()
}
}