I have a fbo generated by last frame, which contain a color texture and a depth texture. Then i want blit that fbo to current MTKView, but failed. Thanks a lot for any suggestions. Here is the code: last frame: id <MTLTexture> src_color; id <MTLTexture> src_depth; drawTo(src_color, src_depth); current frame: first, init a depth texture if null: id<MTLTexture> depth_texture_; if(depth_texture_) { depth_texture_ = [device_ newTextureWithDescriptor:desc]; } second， create desc for encoder: current_desc = metal_view_.currentRenderPassDescriptor; current_desc.depthAttachment.texture = depth_texture_; current_desc.depthAttachment.loadAction = MTLLoadActionClear; current_desc.depthAttachment.clearDepth = 1.0; current_desc.stencilAttachment.texture = depth_texture_; current_desc.stencilAttachment.loadAction = MTLLoadActionClear; current_desc.stencilAttachment.clearStencil = 0; current_desc.colorAttachments[0].loadAction = MTLLoadActionClear; current_desc.colorAttachments[0].clearColor = MTLClearColorMake(1.0, 1, 1, 1.0); third, blit to current MTKView: auto dst_color = current_desc.colorAttachments[0].texture; auto dst_depth = current_desc.depthAttachment.texture; id<MTLCommandBuffer> commandBuffer = [command_queue_ commandBuffer]; commandBuffer.label = @"blit"; id <MTLBlitCommandEncoder> blitEncoder = [commandBuffer blitCommandEncoder]; [blitEncoder copyFromTexture:src_color sourceSlice:0 sourceLevel:0 sourceOrigin:MTLOriginMake(srcRect.x, srcRect.y, 0) sourceSize:MTLSizeMake(srcRect.width, srcRect.height, 1) toTexture:dst_color destinationSlice:0 destinationLevel:0 destinationOrigin:MTLOriginMake(dstRect.x, dstRect.y, 0)]; [blitEncoder copyFromTexture:src_depth sourceSlice:0 sourceLevel:0 sourceOrigin:MTLOriginMake(srcRect.x, srcRect.y, 0) sourceSize:MTLSizeMake(srcRect.width, srcRect.height, 1) toTexture:dst_depth destinationSlice:0 destinationLevel:0 destinationOrigin:MTLOriginMake(dstRect.x, dstRect.y, 0)]; [blitEncoder endEncoding]; [commandBuffer commit]; [commandBuffer waitUntilCompleted];

I'm trying to follow the metal-cpp tutorials I've found at https://developer.apple.com/metal/sample-code/?q=learn The program seems to be launching correctly (I can see the menu bar and interact with it), but nothing is rendered inside the window. I suppose the culprit is somewhere in the following function (I see it binds the device, the view and the window with the object in charge of drawing stuff in the view) void core::Application::applicationDidFinishLaunching(NS::Notification *pNotification) { CGRect frame = (CGRect){{100.0, 100.0}, {512.0, 512.0}}; m_Window->init(frame, NS::WindowStyleMaskClosable | NS::WindowStyleMaskTitled, NS::BackingStoreBuffered, false); m_Device = MTL::CreateSystemDefaultDevice(); m_View = MTK::View::alloc()->init(frame, m_Device); m_View->setColorPixelFormat(MTL::PixelFormat::PixelFormatBGRA8Unorm); m_View->setClearColor(MTL::ClearColor::Make(1.0, 0.0, 0.0, 1.0)); m_ViewDelegate = new graphics::ViewDelegate(m_Device); m_View->setDelegate(m_ViewDelegate); m_Window->setContentView(m_View); m_Window->setTitle(NS::String::string("Template 1", NS::StringEncoding::UTF8StringEncoding)); m_Window->makeKeyAndOrderFront(nullptr); NS::Application* nsApp = reinterpret_cast<NS::Application*>(pNotification->object()); nsApp->activateIgnoringOtherApps(true); } but, as you can infer from the fact that I'm failing at the very first tutorial of the bunch, I'm quite lost. I've tried debugging the app with the Xcode debugger and I saw that it never enters in this function. void ViewDelegate::drawInMTKView(MTK::View *pView) { m_Renderer->Draw(pView); } Can it be a symptom of some call missing from my code? Thank you in advance for your help

Hi, I have a CUDA program that I want to convert to Metal Compute so that we can support Apple hardware. When I wrote the CUDA version, I was able to write efficient code because I learned first about the Cuda-core architecture. The way the cores can access memory for instance is very important information so that I could write code that efficiently access the memory. Now I want to do the same for the Metal Compute software. But I can not find any information about the low level architecture and especially the things you should know to be able to write efficient code. Do I miss something? Is there some guide giving hints for the most efficient way to access memory for instance?

Platform 'METAL' is experimental and not all JAX functionality may be correctly supported! 2024-03-23 22:04:38.947506: W pjrt_plugin/src/mps_client.cc:563] WARNING: JAX Apple GPU support is experimental and not all JAX functionality is correctly supported! Metal device set to: Apple M1 Pro systemMemory: 16.00 GB maxCacheSize: 5.33 GB loc("-":0:0): error: current mps dialect version is 1.0.0, can't parse version 1.1.0 /AppleInternal/Library/BuildRoots/495c257e-668e-11ee-93ce-926038f30c31/Library/Caches/com.apple.xbs/Sources/MetalPerformanceShadersGraph/mpsgraph/MetalPerformanceShadersGraph/Core/Files/MPSGraphExecutable.mm:1097: failed assertion `Error importing MLIR bytecode. ' zsh: abort python -c 'import jax; print(jax.numpy.arange(10))'

in Swift languange, CVMetalTextureCacheCreateTextureFromImage return CVMetalTexture, and CVMetalTexture is Swift class, so. it doesn't need to call CVBufferRelease manually. My question is : should I use a variable to keep strong reference until GPU finished (until addCompleteHandler callback ) ？ cvmetaltexturecachecreatetexture

Currently (jax-metal 0.0.5) doesn't support matrix decompositions like Cholesky, LU, or Eigen, on Metal. I have a 64GB M1 Max on Sonoma 14.2.1 (23C71). Eigen raises a NotImplemented error, but Cholesky and jax.linalg.inv error out. When using the CPU by setting export JAX_PLATFORM_NAME=CPU then the decompositions work. The error I am getting: XlaRuntimeError Traceback (most recent call last) Cell In[33], line 1 ----> 1 jsl.cho_factor(Sigma_0_inv) File ~/miniconda3/envs/jaxmetal/lib/python3.10/site-packages/jax/_src/scipy/linalg.py:61, in cho_factor(failed resolving arguments) 56 @_wraps(scipy.linalg.cho_factor, 57 lax_description=_no_overwrite_and_chkfinite_doc, skip_params=('overwrite_a', 'check_finite')) 58 def cho_factor(a: ArrayLike, lower: bool = False, overwrite_a: bool = False, 59 check_finite: bool = True) -> tuple[Array, bool]: 60 del overwrite_a, check_finite # Unused ---> 61 return (cholesky(a, lower=lower), lower) File ~/miniconda3/envs/jaxmetal/lib/python3.10/site-packages/jax/_src/scipy/linalg.py:54, in cholesky(failed resolving arguments) 49 @_wraps(scipy.linalg.cholesky, 50 lax_description=_no_overwrite_and_chkfinite_doc, skip_params=('overwrite_a', 'check_finite')) 51 def cholesky(a: ArrayLike, lower: bool = False, overwrite_a: bool = False, 52 check_finite: bool = True) -> Array: 53 del overwrite_a, check_finite # Unused ---> 54 return _cholesky(a, lower) File ~/miniconda3/envs/jaxmetal/lib/python3.10/site-packages/jax/_src/compiler.py:255, in backend_compile(backend, module, options, host_callbacks) 250 return backend.compile(built_c, compile_options=options, 251 host_callbacks=host_callbacks) 252 # Some backends don't have host_callbacks option yet 253 # TODO(sharadmv): remove this fallback when all backends allow compile 254 # to take in host_callbacks --> 255 return backend.compile(built_c, compile_options=options) XlaRuntimeError: UNKNOWN: /var/folders/9d/0035yr7j3bx84h3ghpp_86pc0000gn/T/ipykernel_40684/3046650730.py:1:0: error: failed to legalize operation 'mhlo.cholesky' /var/folders/9d/0035yr7j3bx84h3ghpp_86pc0000gn/T/ipykernel_40684/3046650730.py:1:0: note: see current operation: %5 = "mhlo.cholesky"(%4) {lower = true} : (tensor<200x200xf32>) -> tensor<200x200xf32>

I am working on an application where we are planning to use Metal for directly rendering custom content. When user looks at something on the rendered image, I want to get the position or ray of cursor (the point where the user is currently looking at) to render something else like a crosshair. Is it possible to get the cursor position information on VisionOS to accomplish this? How can I know if something is being hovered on by the eyes?

I wanna draw a pixel buffer directly on the screen with the Metal API. in OpenGL I can use glDrawPixels how to do it in Metal?

On macOS 14.2.1 Sonoma, when our app is displayed in full screen, there is a problem where the operations at hand are not reflected at all on the connection destination. This issue does not occur on macOS 13 Ventura. If you stop displaying full screen and reduce the window size, you will be able to operate it to some extent. Were there any specifications or technical changes around the screen between Ventura and Sonoma? Mac at hand* - Relay server - Windows to connect to *This does not occur on windows, android, or ios.

With the advent of the third dimension, I wanted to know wether if it's currently possible to display the flat swiftUI Views with some thickness in xrOS? While the .frame(depth: CGFloat?) does the job for Views in general, I am eager for a more granular level of control at the pixel-specific level. I was hoping that there are lower level APIs to achieve this & I've looked into the fairly new layerEffect shader API, yet it seems it's incapable of setting the depths of pixels...

Hello, I have been following the excellent/informative "Metal for Machine Learning" from WWDC19 to learn how to do on device training (I have a specific use case for this) and it is all working really well using the MPSNNGraph. However, I would like to call my own metal compute/render function/pipeline to transform the inference result before calculating the loss, does anyone know if this possible and what would this look like in code? Please see my current code below, at the comment I need to call an intermediate compute/render function to transform the inference result image before passing to the MPSNNForwardLossNode. let rgbImageNode = MPSNNImageNode(handle: nil) let inferGraph = makeInferenceGraph() let reshape = MPSNNReshapeNode(source: inferGraph.resultImage, resultWidth: 64, resultHeight: 64, resultFeatureChannels: 4) //Need to call render or compute pipeline to post process in the inference result image let rgbLoss = MPSNNForwardLossNode(source:reshape.resultImage, labels:rgbImageNode, lossDescriptor:lossDescriptor) let initGrad = MPSNNInitialGradientNode(source:rgbLoss.resultImage) let gradNodes = initGrad.trainingGraph(withSourceGradient:nil, nodeHandler:nil) guard let trainGraph = MPSNNGraph(device: device, resultImage: gradNodes![0].resultImage, resultImageIsNeeded: true) else{ fatalError("Unable to get training graph.") } Thanks

Hi, I am looking for a routine to perform complex-valued linear algebra on the GPU in python for scientific programming, in particular quantum physics simulations. At the moment I am looking for a routine for complex-valued matrix multiplication. I found MLX has a routine for float matrix multiplication, but it does not directly work for complex-valued matrices. I figured a work-around by splitting the complex valued matrix into real and imaginary part and working with the pair, but it makes it cumbersome to integrate with the remainder of the code. I was hoping for a library-based implementation similar to cupy. I also tried out using the tensorflow linear algebra routines, but I couldn't get them to run on the GPU by now. Specifically, a testfile with a tensorflow.keras.applications.ResNet50 routine runs on the GPU, but the routines from tensorflow.linalg and tensorflow.math that I tested (matmul, expm, eigh) were not running on the GPU. Any advice on how to make linear algebra calculations on mac GPUs work is highly appreciated! For my application the unified memory might be especially beneficial. Thank you!

I used metal and CompositorLayer to render an immersive space skybox. In this space, the window created by the Swift UI I created only displays the gray frosted glass background effect (it seems to ignore the metal-rendered skybox and only samples and displays the black background). why is that? Is there any solution to display the normal frosted glass background? Thank you very much!

Hi We have an issue where the blurred background shown behind the Views is incorrect. We are using the compositor layer to render a fully immersive scene using Metal, so there is no real world passthrough. We have a couple of SwiftUI Views in the scene that have translucency and the glassBackground effect enabled. We expected that the background would show the blurred immersive scene, in the same way it shows the blurred real world in passthrough mode. Instead, it seems to still show the blurred real world, which feels strange from the user perspective. This is only visible on-device, in the simulator the background is always black. Thanks Mark

Hi there, I've met a problem that in my working project build settings. There is no Metal Compiler Build Setting, but it works well in my demo project. And I'm certain I've move the shader files(.metal) into the bundle. How could I resolve this problem? XCode Version 15.0 13.6.1 (22G313)

Is there a way to render stereoscopic (left/right) images in a 2d plane that resides in a swiftUI view? I know this is possible in realityKit shaders, and in immersive metal composits, but is it possible via swiftUI shaders, CAMetalLayer, etc? I'd like to draw a 2d window with standard UI chrome (resize, move etc) that displays stereoscopic content on the flat plane of the window.

When developping jax code locally, I use jax's debug_callback. Metal does not implement it. NotImplementedError: MLIR translation rule for primitive 'debug_callback' not found for platform METAL

I experience an issue with SceneKit that is driving me crazy ;( I have severe hangs when I disable Metal API Validation (which is default when you don't run from Xcode). So is there any way to force enable Metal API Validation for AppStore binary? (run MTL_DEBUG_LAYER=1 for Testflight or App Store) Hangs happen on Catalyst but also on iOS if I use lightingEnvironment...