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<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Source of the Rust file `/home/sangenya/.cargo/registry/src/github.com-1ecc6299db9ec823/matrixmultiply-0.1.15/src/lib.rs`."><meta name="keywords" content="rust, rustlang, rust-lang"><title>lib.rs - source</title><link rel="stylesheet" type="text/css" href="../../normalize.css"><link rel="stylesheet" type="text/css" href="../../rustdoc.css" id="mainThemeStyle"><link rel="stylesheet" type="text/css" href="../../light.css"  id="themeStyle"><link rel="stylesheet" type="text/css" href="../../dark.css" disabled ><link rel="stylesheet" type="text/css" href="../../ayu.css" disabled ><script id="default-settings"></script><script src="../../storage.js"></script><script src="../../crates.js"></script><noscript><link rel="stylesheet" href="../../noscript.css"></noscript><link rel="icon" type="image/svg+xml" href="../../favicon.svg">
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</pre><pre class="rust">
<span class="comment">// Copyright 2016 bluss</span>
<span class="comment">//</span>
<span class="comment">// Licensed under the Apache License, Version 2.0 &lt;LICENSE-APACHE or</span>
<span class="comment">// http://www.apache.org/licenses/LICENSE-2.0&gt; or the MIT license</span>
<span class="comment">// &lt;LICENSE-MIT or http://opensource.org/licenses/MIT&gt;, at your</span>
<span class="comment">// option. This file may not be copied, modified, or distributed</span>
<span class="comment">// except according to those terms.</span>
<span class="doccomment">//! </span>
<span class="doccomment">//! General matrix multiplication for f32, f64 matrices.</span>
<span class="doccomment">//! </span>
<span class="doccomment">//! Allows arbitrary row, column strided matrices.</span>
<span class="doccomment">//! </span>
<span class="doccomment">//! Uses the same microkernel algorithm as [BLIS][bl], but in a much simpler</span>
<span class="doccomment">//! and less featureful implementation.</span>
<span class="doccomment">//! See their [multithreading][mt] page for a very good diagram over how</span>
<span class="doccomment">//! the algorithm partitions the matrix (*Note:* this crate does not implement</span>
<span class="doccomment">//! multithreading).</span>
<span class="doccomment">//! </span>
<span class="doccomment">//! [bl]: https://github.com/flame/blis</span>
<span class="doccomment">//! </span>
<span class="doccomment">//! [mt]: https://github.com/flame/blis/wiki/Multithreading</span>
<span class="doccomment">//!</span>
<span class="doccomment">//! ## Matrix Representation</span>
<span class="doccomment">//!</span>
<span class="doccomment">//! **matrixmultiply** supports matrices with general stride, so a matrix</span>
<span class="doccomment">//! is passed using a pointer and four integers:</span>
<span class="doccomment">//!</span>
<span class="doccomment">//! - `a: *const f32`, pointer to the first element in the matrix</span>
<span class="doccomment">//! - `m: usize`, number of rows</span>
<span class="doccomment">//! - `k: usize`, number of columns</span>
<span class="doccomment">//! - `rsa: isize`, row stride</span>
<span class="doccomment">//! - `csa: isize`, column stride</span>
<span class="doccomment">//!</span>
<span class="doccomment">//! In this example, A is a m by k matrix. `a` is a pointer to the element at</span>
<span class="doccomment">//! index *0, 0*.</span>
<span class="doccomment">//!</span>
<span class="doccomment">//! The *row stride* is the pointer offset (in number of elements) to the</span>
<span class="doccomment">//! element on the next row. It’s the distance from element *i, j* to *i + 1,</span>
<span class="doccomment">//! j*.</span>
<span class="doccomment">//!</span>
<span class="doccomment">//! The *column stride* is the pointer offset (in number of elements) to the</span>
<span class="doccomment">//! element in the next column. It’s the distance from element *i, j* to *i,</span>
<span class="doccomment">//! j + 1*.</span>
<span class="doccomment">//!</span>
<span class="doccomment">//! For example for a contiguous matrix, row major strides are *rsa=k,</span>
<span class="doccomment">//! csa=1* and column major strides are *rsa=1, csa=m*.</span>
<span class="doccomment">//!</span>
<span class="doccomment">//! Stides can be negative or even zero, but for a mutable matrix elements</span>
<span class="doccomment">//! may not alias each other.</span>

<span class="attribute">#![<span class="ident">doc</span>(<span class="ident">html_root_url</span> <span class="op">=</span> <span class="string">&quot;https://docs.rs/matrixmultiply/0.1/&quot;</span>)]</span>

<span class="kw">extern</span> <span class="kw">crate</span> <span class="ident">rawpointer</span>;

<span class="attribute">#[<span class="ident">macro_use</span>]</span> <span class="kw">mod</span> <span class="ident">debugmacros</span>;
<span class="attribute">#[<span class="ident">macro_use</span>]</span> <span class="kw">mod</span> <span class="ident">loopmacros</span>;
<span class="kw">mod</span> <span class="ident">archparam</span>;
<span class="kw">mod</span> <span class="ident">kernel</span>;
<span class="kw">mod</span> <span class="ident">gemm</span>;
<span class="kw">mod</span> <span class="ident">sgemm_kernel</span>;
<span class="kw">mod</span> <span class="ident">dgemm_kernel</span>;
<span class="kw">mod</span> <span class="ident">util</span>;

<span class="kw">pub</span> <span class="kw">use</span> <span class="ident">gemm::sgemm</span>;
<span class="kw">pub</span> <span class="kw">use</span> <span class="ident">gemm::dgemm</span>;
</pre></div>
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