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https://github.com/huggingface/candle.git
synced 2025-06-17 19:18:50 +00:00
Added fill bench
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@ -49,3 +49,7 @@ metal = ["dep:metal", "dep:candle-metal-kernels"]
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name = "matmul"
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harness = false
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[[bench]]
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name = "fill"
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harness = false
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57
candle-core/benches/fill.rs
Normal file
57
candle-core/benches/fill.rs
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@ -0,0 +1,57 @@
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use candle_core::{DType, Device, Tensor};
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use criterion::{black_box, criterion_group, criterion_main, Criterion, Throughput};
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use std::time::Instant;
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fn run(shape: (usize, usize, usize), dtype: DType, device: &Device) {
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Tensor::ones(shape, dtype, device).unwrap();
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}
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fn criterion_benchmark(c: &mut Criterion) {
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let b = 1;
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let rows = 4096;
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let columns = 4096;
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let flops = b * rows * columns;
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let device1 = Device::new_metal(0).unwrap();
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let device2 = device1.clone();
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let mut group = c.benchmark_group("fill_metal_u8");
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group.throughput(Throughput::Bytes(flops as u64));
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group.bench_function("iter", move |bencher| {
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bencher.iter_custom(|iters| {
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let start = Instant::now();
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for _i in 0..iters {
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run(black_box((b, rows, columns)), black_box(DType::U8), black_box(&device1));
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}
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if let Device::Metal(device) = &device1 {
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device.wait_until_completed().unwrap();
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} else {
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panic!("Expected metal device");
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}
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start.elapsed()
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})
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});
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group.finish();
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let mut group = c.benchmark_group("fill_metal_f32");
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group.throughput(Throughput::Bytes((flops * DType::F32.size_in_bytes()) as u64));
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group.bench_function("iter", move |bencher| {
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bencher.iter_custom(|iters| {
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let start = Instant::now();
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for _i in 0..iters {
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run(black_box((b, rows, columns)), black_box(DType::F32), black_box(&device2));
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}
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if let Device::Metal(device) = &device2 {
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device.wait_until_completed().unwrap();
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} else {
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panic!("Expected metal device");
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}
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start.elapsed()
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})
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});
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group.finish();
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}
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criterion_group!(benches, criterion_benchmark);
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criterion_main!(benches);
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@ -3,7 +3,7 @@ use crate::conv::{ParamsConv1D, ParamsConv2D, ParamsConvTranspose1D, ParamsConvT
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use crate::op::{BinaryOpT, CmpOp, ReduceOp, UnaryOpT};
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use crate::{CpuStorage, DType, Layout, Result, Shape};
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use candle_metal_kernels;
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use candle_metal_kernels::{CallFill, Fill, Kernels};
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use candle_metal_kernels::{FillOp, Unary, Kernels};
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use half::{bf16, f16};
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use metal;
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use metal::{Buffer, CommandBuffer, CommandQueue, MTLResourceOptions, NSUInteger};
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@ -1405,9 +1405,9 @@ impl BackendDevice for MetalDevice {
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let command_buffer = self.command_buffer()?;
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command_buffer.set_label("zeros");
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// This assumes the specific zero type DType is equal to 0x00u8
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// This assumes the zero value of this DType is equal to 0x00u8
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// (which is true for all current types)
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Fill::call_fill(
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Unary::fill(
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&self.device,
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&command_buffer,
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&self.kernels,
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@ -1421,13 +1421,13 @@ impl BackendDevice for MetalDevice {
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}
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fn ones_impl(&self, shape: &Shape, dtype: DType) -> Result<Self::Storage> {
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let buffer = self.new_buffer(shape.elem_count(), dtype, "zeros")?;
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let buffer = self.new_buffer(shape.elem_count(), dtype, "ones")?;
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let command_buffer = self.command_buffer()?;
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command_buffer.set_label("ones");
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macro_rules! fill {
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($value:expr) => {
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Fill::call_fill(
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Unary::fill(
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&self.device,
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&command_buffer,
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&self.kernels,
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@ -19,3 +19,8 @@ num-traits = "0.2.17"
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[dev-dependencies]
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rand = "0.8.5"
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criterion = "0.5.1"
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[[bench]]
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name = "fill"
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harness = false
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@ -1573,19 +1573,19 @@ pub fn call_upsample_nearest_2d(
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Ok(())
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}
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#[inline]
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#[inline(always)]
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fn divide(m: usize, b: usize) -> NSUInteger {
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((m + b - 1) / b) as NSUInteger
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}
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pub struct Fill<T> {
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pub struct Unary<T> {
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_marker: PhantomData<T>,
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}
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pub trait CallFill<T> {
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const KERNEL_NAME: &'static str;
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pub trait FillOp<T> {
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const FILL_KERNEL: &'static str;
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fn call_fill(
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fn fill(
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device: &Device,
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command_buffer: &CommandBufferRef,
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kernels: &Kernels,
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@ -1598,66 +1598,12 @@ pub trait CallFill<T> {
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macro_rules ! impl_call_fill {
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($($t:ty),*) => {
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$(
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impl CallFill<$t> for Fill<$t> {
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const KERNEL_NAME: &'static str = concat!("fill_", stringify!($t));
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impl FillOp<$t> for Unary<$t> {
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const FILL_KERNEL: &'static str = concat!("fill_", stringify!($t));
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fn call_fill(device: &Device, command_buffer: &CommandBufferRef, kernels: &Kernels, elem_count: usize, buffer: &Buffer, value: $t) -> Result<(), MetalKernelError> {
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_call_fill(device, command_buffer, kernels, Self::KERNEL_NAME, elem_count, buffer, value)
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}
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}
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)*
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};
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}
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impl_call_fill!(u32, i64, f16, bf16, f32);
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impl CallFill<u8> for Fill<u8> {
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const KERNEL_NAME: &'static str = "";
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fn call_fill(
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_: &Device,
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command_buffer: &CommandBufferRef,
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kernels: &Kernels,
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elem_count: usize,
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buffer: &Buffer,
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value: u8,
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) -> Result<(), MetalKernelError> {
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_call_blit_fill(command_buffer, kernels, elem_count, buffer, value)
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}
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}
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fn _call_blit_fill(
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command_buffer: &CommandBufferRef,
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kernels: &Kernels,
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elem_count: usize,
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buffer: &Buffer,
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value: u8,
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) -> Result<(), MetalKernelError> {
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let blit = command_buffer.new_blit_command_encoder();
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blit.wait_for_fence(&kernels.fence);
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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: elem_count as NSUInteger,
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},
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value,
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);
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blit.update_fence(&kernels.fence);
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blit.end_encoding();
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Ok(())
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}
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fn _call_fill<D: EncoderParam>(
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device: &Device,
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command_buffer: &CommandBufferRef,
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kernels: &Kernels,
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kernel_name: &'static str,
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elem_count: usize,
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buffer: &Buffer,
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value: D,
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) -> Result<(), MetalKernelError> {
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let pipeline = kernels.load_pipeline(device, Source::Fill, kernel_name)?;
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#[inline(always)]
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fn fill(device: &Device, command_buffer: &CommandBufferRef, kernels: &Kernels, elem_count: usize, buffer: &Buffer, value: $t) -> Result<(), MetalKernelError> {
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let pipeline = kernels.load_pipeline(device, Source::Fill, Self::FILL_KERNEL)?;
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let encoder = command_buffer.new_compute_command_encoder();
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encoder.wait_for_fence(&kernels.fence);
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encoder.set_compute_pipeline_state(&pipeline);
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@ -1672,6 +1618,40 @@ fn _call_fill<D: EncoderParam>(
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encoder.end_encoding();
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Ok(())
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}
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}
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)*
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};
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}
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impl_call_fill!(u32, i64, f16, bf16, f32);
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impl FillOp<u8> for Unary<u8> {
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const FILL_KERNEL: &'static str = "";
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#[inline(always)]
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fn fill(
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_: &Device,
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command_buffer: &CommandBufferRef,
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kernels: &Kernels,
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elem_count: usize,
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buffer: &Buffer,
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value: u8,
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) -> Result<(), MetalKernelError> {
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let blit = command_buffer.new_blit_command_encoder();
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blit.wait_for_fence(&kernels.fence);
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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: elem_count as NSUInteger,
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},
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value,
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);
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blit.update_fence(&kernels.fence);
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blit.end_encoding();
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Ok(())
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}
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}
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#[cfg(test)]
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@ -808,7 +808,7 @@ fn gemm() {
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fn run_fill<T: EncoderParam + Clone>(elem_count: usize, value: T) -> Vec<T>
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where
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Fill<T>: CallFill<T>,
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Unary<T>: FillOp<T>,
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{
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let device = device();
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let fence = device.new_fence();
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@ -816,7 +816,7 @@ where
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let command_queue = device.new_command_queue();
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let command_buffer = command_queue.new_command_buffer();
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let buffer = new_buffer(&device, &vec![0.0f32; elem_count]);
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Fill::<T>::call_fill(
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Unary::<T>::fill(
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&device,
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command_buffer,
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&kernels,
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@ -835,7 +835,7 @@ where
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fn fill() {
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fn assert_fill<T: EncoderParam + Copy + std::fmt::Debug + PartialEq>(value: T)
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where
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Fill<T>: CallFill<T>,
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Unary<T>: FillOp<T>,
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{
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for i in 0..4 {
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assert_eq!(run_fill(8 ^ i, value), vec![value; 8 ^ i]);
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