brenden
682afacd30
Trimmed monorepo checkout (fluxer_desktop + packages/voice_engine_v2 + tools/ci) with a "Connect to a Different Server" menu item and popout that lets the desktop app switch to any self-hosted Fluxer instance, plus fixes for well-known discovery on single-domain self-hosted deployments and a false-positive ERR_ABORTED on same-origin client redirects during the switch. Defaults to chat.fluxr.chat and uses an isolated userData directory from the official build.
88 lines
2.5 KiB
Rust
88 lines
2.5 KiB
Rust
use std::time::Instant;
|
|
|
|
use tract_data::prelude::*;
|
|
use tract_linalg::LADatum;
|
|
use tract_linalg::frame::mmm::FusedSpec;
|
|
use tract_linalg::frame::mmm::MatMatMulKer;
|
|
|
|
fn ruin_cache() {
|
|
let _a = (0..1000000).collect::<Vec<i32>>();
|
|
}
|
|
|
|
fn bench_to_nanos<T: LADatum + Copy + num_traits::Zero, K: MatMatMulKer<T>>(
|
|
k: usize,
|
|
loops: usize,
|
|
) -> f64 {
|
|
let item_size = T::datum_type().size_of();
|
|
let a = Tensor::zero_aligned::<T>(
|
|
&[(k + K::end_padding_packed_a()) * K::mr()],
|
|
K::alignment_bytes_packed_a(),
|
|
)
|
|
.unwrap();
|
|
let b = Tensor::zero_aligned::<T>(
|
|
&[(k + K::end_padding_packed_b()) * K::nr()],
|
|
K::alignment_bytes_packed_b(),
|
|
)
|
|
.unwrap();
|
|
let mut c = Tensor::zero::<T>(&[K::mr() * K::nr()]).unwrap();
|
|
let ref a = InputStoreKer::Packed {
|
|
ptr: unsafe { a.as_ptr_unchecked::<u8>() as _ },
|
|
};
|
|
let ref b = InputStoreKer::Packed {
|
|
ptr: unsafe { b.as_ptr_unchecked::<u8>() as _ },
|
|
};
|
|
let ref c = OutputStoreKer {
|
|
ptr: unsafe { c.as_ptr_mut_unchecked::<u8>() as _ },
|
|
item_size,
|
|
col_byte_stride: (item_size * K::mr()) as isize,
|
|
row_byte_stride: item_size as isize,
|
|
};
|
|
let ref linear = LinearSpec::Mul { k };
|
|
let op = MatMatMulKerSpec {
|
|
a,
|
|
b,
|
|
c,
|
|
linear,
|
|
non_linear: std::ptr::null(),
|
|
};
|
|
let mut values = Vec::with_capacity(loops);
|
|
for _ in 0..loops {
|
|
ruin_cache();
|
|
let start = Instant::now();
|
|
K::kernel(&op);
|
|
values.push(start.elapsed());
|
|
}
|
|
values.sort();
|
|
values[loops / 2].as_nanos() as f64
|
|
}
|
|
|
|
fn model<T: Datum + Copy + num_traits::Zero, K: MatMatMulKer<T>>() -> (f64, f64) {
|
|
let x = 1000;
|
|
let zp = bench_to_nanos::<T, K>(0, 10000);
|
|
let y = bench_to_nanos::<T, K>(x, 1000);
|
|
let slope = (y - zp) / x as f64;
|
|
(slope, zp)
|
|
}
|
|
|
|
fn as_match_line<T: Datum + Copy + num_traits::Zero, K: MatMatMulKer<T>>() {
|
|
let coeffs = model::<T, K>();
|
|
println!(
|
|
"({:?}, {}, {}) => {} * k + {},",
|
|
K::name(),
|
|
K::mr(),
|
|
K::nr(),
|
|
(coeffs.0 * 1000.).round(),
|
|
(coeffs.1 * 1000.).round()
|
|
);
|
|
}
|
|
|
|
fn main() {
|
|
use tract_linalg::arm64::*;
|
|
as_match_line::<f32, MatMatMulF32x16x4>();
|
|
as_match_line::<f32, MatMatMulF32x12x8>();
|
|
as_match_line::<f32, MatMatMulF32x8x8>();
|
|
as_match_line::<f32, MatMatMulF32x16x4A53>();
|
|
as_match_line::<f32, MatMatMulF32x12x8A53>();
|
|
as_match_line::<f32, MatMatMulF32x8x8A53>();
|
|
}
|