mirror of
https://github.com/huggingface/candle.git
synced 2025-06-18 11:37:11 +00:00
Backend refactoring. (#1966)
* Backend refactoring. * Metal tweaks. * Move the cudnn module.
This commit is contained in:
287
candle-core/src/metal_backend/device.rs
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287
candle-core/src/metal_backend/device.rs
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use crate::{DType, Result};
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use candle_metal_kernels::Kernels;
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use metal::{Buffer, CommandBuffer, CommandQueue, MTLResourceOptions, NSUInteger};
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use std::collections::HashMap;
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use std::ffi::c_void;
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use std::path::Path;
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use std::sync::{Arc, Mutex, RwLock, RwLockWriteGuard};
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use super::MetalError;
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/// Unique identifier for cuda devices.
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#[derive(Clone, Copy, Debug, PartialEq, Eq, Hash)]
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pub struct DeviceId(usize);
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impl DeviceId {
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pub(crate) fn new() -> Self {
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// https://users.rust-lang.org/t/idiomatic-rust-way-to-generate-unique-id/33805
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use std::sync::atomic;
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static COUNTER: atomic::AtomicUsize = atomic::AtomicUsize::new(1);
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Self(COUNTER.fetch_add(1, atomic::Ordering::Relaxed))
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}
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}
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type BufferMap = HashMap<(NSUInteger, MTLResourceOptions), Vec<Arc<Buffer>>>;
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type AllocatedBuffers = Arc<RwLock<BufferMap>>;
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#[derive(Clone)]
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pub struct MetalDevice {
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/// Unique identifier, the registryID is not sufficient as it identifies the GPU rather than
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/// the device itself.
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pub(crate) id: DeviceId,
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/// Raw metal device: <https://developer.apple.com/documentation/metal/mtldevice?language=objc>
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pub(crate) device: metal::Device,
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/// Single command queue for the entire device.
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pub(crate) command_queue: CommandQueue,
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/// One command buffer at a time.
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/// The scheduler works by allowing multiple
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/// [ComputeCommandEncoder](https://developer.apple.com/documentation/metal/mtlcomputecommandencoder?language=objc)
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/// on a single command buffer. Using a single command buffer would be fastest on the GPU but
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/// prevents overlapping of CPU and GPU commands (because command buffer needs to be committed
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/// to start to work).
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/// Despite what the documentation says, command buffers are NOT ordered. They are ordered
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/// for their START time, but there's no guarantee that command buffer1 will finish before
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/// command buffer2 starts (or there are metal bugs there)
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pub(crate) command_buffer: Arc<RwLock<CommandBuffer>>,
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/// Keeps track of the current amount of compute command encoders on the current
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/// command buffer
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/// Arc, RwLock because of the interior mutability.
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pub(crate) command_buffer_index: Arc<RwLock<usize>>,
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/// The maximum amount of [compute command encoder](https://developer.apple.com/documentation/metal/mtlcomputecommandencoder?language=objc) per [command buffer](https://developer.apple.com/documentation/metal/mtlcommandbuffer?language=objc)
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pub(crate) compute_per_buffer: usize,
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/// Simple keeper struct to keep track of the already compiled kernels so we can reuse them.
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/// Heavily used by [`candle_metal_kernels`]
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pub(crate) kernels: Arc<Kernels>,
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/// Simple allocator struct.
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/// The buffers are stored in size buckets since ML tends to use similar shapes over and over.
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/// We store the buffers in [`Arc`] because it's much faster than Obj-c internal ref counting
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/// (could be linked to FFI communication overhead).
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///
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/// Whenever a buffer has a strong_count==1, we can reuse it, it means it was dropped in the
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/// graph calculation, and only we the allocator kept a reference to it, therefore it's free
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/// to be reused. However, in order for this to work, we need to guarantee the order of
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/// operation, so that this buffer is not being used by another kernel at the same time.
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/// Arc is the CPU reference count, it doesn't mean anything on the GPU side of things.
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///
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/// Whenever we actually allocate a new buffer, we make a full sweep to clean up unused buffers
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/// (strong_count = 1).
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pub(crate) buffers: AllocatedBuffers,
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/// Seed for random number generation.
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pub(crate) seed: Arc<Mutex<Buffer>>,
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}
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impl std::fmt::Debug for MetalDevice {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
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write!(f, "MetalDevice({:?})", self.id)
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}
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}
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impl std::ops::Deref for MetalDevice {
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type Target = metal::DeviceRef;
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fn deref(&self) -> &Self::Target {
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&self.device
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}
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}
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impl MetalDevice {
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pub fn id(&self) -> DeviceId {
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self.id
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}
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pub fn metal_device(&self) -> &metal::Device {
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&self.device
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}
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pub fn command_queue(&self) -> &CommandQueue {
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&self.command_queue
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}
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pub fn command_buffer(&self) -> Result<CommandBuffer> {
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let mut command_buffer_lock = self.command_buffer.try_write().map_err(MetalError::from)?;
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let mut command_buffer = command_buffer_lock.to_owned();
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let mut index = self
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.command_buffer_index
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.try_write()
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.map_err(MetalError::from)?;
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if *index > self.compute_per_buffer {
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command_buffer.commit();
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command_buffer = self.command_queue.new_command_buffer().to_owned();
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*command_buffer_lock = command_buffer.clone();
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*index = 0;
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self.drop_unused_buffers()?;
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}
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*index += 1;
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Ok(command_buffer)
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}
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pub fn wait_until_completed(&self) -> Result<()> {
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let mut command_buffer = self.command_buffer.try_write().map_err(MetalError::from)?;
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match command_buffer.status() {
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metal::MTLCommandBufferStatus::Committed
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| metal::MTLCommandBufferStatus::Scheduled
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| metal::MTLCommandBufferStatus::Completed => {
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panic!("Already committed");
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}
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_ => {}
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}
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command_buffer.commit();
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command_buffer.wait_until_completed();
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*command_buffer = self.command_queue.new_command_buffer().to_owned();
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Ok(())
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}
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pub fn kernels(&self) -> &Kernels {
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&self.kernels
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}
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pub fn device(&self) -> &metal::Device {
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&self.device
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}
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/// Creates a new buffer (not necessarily zeroed).
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/// The buffer is [MTLPrivate](https://developer.apple.com/documentation/metal/mtlstoragemode)
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/// This means the buffer data cannot be read on the CPU directly.
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///
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/// [`name`] is only used to keep track of the resource origin in case of bugs
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pub fn new_buffer(
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&self,
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element_count: usize,
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dtype: DType,
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name: &str,
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) -> Result<Arc<Buffer>> {
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let size = (element_count * dtype.size_in_bytes()) as NSUInteger;
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self.allocate_buffer(size, MTLResourceOptions::StorageModePrivate, name)
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}
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/// Creates a new buffer (not necessarily zeroed).
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/// The buffer is [MTLManaged](https://developer.apple.com/documentation/metal/mtlstoragemode)
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/// This means the buffer can be read on the CPU but will require manual
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/// synchronization when the CPU memory is modified
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/// Used as a bridge to gather data back from the GPU
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pub fn new_buffer_managed(&self, size: NSUInteger) -> Result<Arc<Buffer>> {
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self.allocate_buffer(size, MTLResourceOptions::StorageModeManaged, "managed")
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}
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/// Creates a new buffer from data.
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/// The buffer is [MTLManaged](https://developer.apple.com/documentation/metal/mtlstoragemode)
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///
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/// Does not require synchronization, as [newBufferWithBytes](https://developer.apple.com/documentation/metal/mtldevice/1433429-newbufferwithbytes)
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/// allocates the buffer and copies over the existing data before returning the MTLBuffer.
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pub fn new_buffer_with_data<T>(&self, data: &[T]) -> Result<Arc<Buffer>> {
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let size = core::mem::size_of_val(data) as NSUInteger;
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let new_buffer = self.device.new_buffer_with_data(
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data.as_ptr() as *const c_void,
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size,
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MTLResourceOptions::StorageModeManaged,
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);
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let mut buffers = self.buffers.try_write().map_err(MetalError::from)?;
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let subbuffers = buffers
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.entry((size, MTLResourceOptions::StorageModeManaged))
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.or_insert(vec![]);
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let new_buffer = Arc::new(new_buffer);
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subbuffers.push(new_buffer.clone());
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Ok(new_buffer)
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}
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pub fn allocate_zeros(&self, size_in_bytes: usize) -> Result<Arc<Buffer>> {
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let buffer = self.allocate_buffer(
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size_in_bytes as NSUInteger,
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MTLResourceOptions::StorageModePrivate,
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"allocate_zeros",
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)?;
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let command_buffer = self.command_buffer()?;
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command_buffer.set_label("zeros");
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let blit = command_buffer.new_blit_command_encoder();
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blit.fill_buffer(
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&buffer,
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metal::NSRange {
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location: 0,
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length: buffer.length(),
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},
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0,
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);
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blit.end_encoding();
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Ok(buffer)
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}
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fn find_available_buffer(
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&self,
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size: NSUInteger,
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option: MTLResourceOptions,
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buffers: &RwLockWriteGuard<BufferMap>,
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) -> Option<Arc<Buffer>> {
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let mut best_buffer: Option<&Arc<Buffer>> = None;
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let mut best_buffer_size: NSUInteger = NSUInteger::MAX;
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for ((buffer_size, buffer_option), subbuffers) in buffers.iter() {
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if buffer_size >= &size && buffer_size < &best_buffer_size && buffer_option == &option {
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for sub in subbuffers {
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if Arc::strong_count(sub) == 1 {
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best_buffer = Some(sub);
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best_buffer_size = *buffer_size;
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}
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}
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}
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}
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best_buffer.cloned()
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}
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fn drop_unused_buffers(&self) -> Result<()> {
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let mut buffers = self.buffers.try_write().map_err(MetalError::from)?;
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for subbuffers in buffers.values_mut() {
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let newbuffers = subbuffers
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.iter()
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.filter(|s| Arc::strong_count(*s) > 1)
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.map(Arc::clone)
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.collect();
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*subbuffers = newbuffers;
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}
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Ok(())
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}
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/// The critical allocator algorithm
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fn allocate_buffer(
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&self,
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size: NSUInteger,
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option: MTLResourceOptions,
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_name: &str,
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) -> Result<Arc<Buffer>> {
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let mut buffers = self.buffers.try_write().map_err(MetalError::from)?;
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if let Some(b) = self.find_available_buffer(size, option, &buffers) {
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// Cloning also ensures we increment the strong count
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return Ok(b.clone());
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}
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let size = buf_size(size);
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let subbuffers = buffers.entry((size, option)).or_insert(vec![]);
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let new_buffer = self.device.new_buffer(size as NSUInteger, option);
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let new_buffer = Arc::new(new_buffer);
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subbuffers.push(new_buffer.clone());
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Ok(new_buffer)
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}
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/// Create a metal GPU capture trace on [`path`].
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pub fn capture<P: AsRef<Path>>(&self, path: P) -> Result<()> {
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let capture = metal::CaptureManager::shared();
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let descriptor = metal::CaptureDescriptor::new();
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descriptor.set_destination(metal::MTLCaptureDestination::GpuTraceDocument);
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descriptor.set_capture_device(self);
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descriptor.set_output_url(path);
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capture
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.start_capture(&descriptor)
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.map_err(MetalError::from)?;
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Ok(())
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}
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}
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fn buf_size(size: NSUInteger) -> NSUInteger {
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(size - 1).next_power_of_two() as NSUInteger
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}
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