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// This script estimates the maximum errors of `rsqrt` approximation for | |
// ARM NEON, SSE, AVX2, and AVX-512. | |
// | |
// Compile with Clang or GCC: | |
// | |
// $ gcc rsqrt.c -o rsqrt -std=c99 -lm -march=native -O3 && time ./rsqrt | |
// $ gcc rsqrt.c -o rsqrt -std=c99 -lm -march=skylake-avx512 -O3 && time ./rsqrt | |
// $ gcc rsqrt.c -o rsqrt -std=c99 -lm -march=haswell -O3 && time ./rsqrt | |
// $ gcc rsqrt.c -o rsqrt -std=c99 -lm -march=westmere -O3 && time ./rsqrt | |
// |
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import argparse | |
import time | |
from datasets import load_dataset | |
from datasets import disable_caching | |
# Set up argument parser | |
parser = argparse.ArgumentParser(description="Benchmark HuggingFace datasets library for a large textual file.") | |
parser.add_argument("file_path", type=str, help="Path to the textual file to be parsed and chunked.") | |
parser.add_argument("--sample_by", type=str, help="How to split - by line or by paragraph.", default="line") |
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~/StringZilla$ ./build_release/stringzilla_bench_search leipzig1M.txt | |
StringZilla. Starting search benchmarks. | |
Parsed the file with 8388608 words of 5 mean length! | |
Benchmarking for whitespaces: | |
- std::string_view.find_first_of 0.1882 GB/s 356648820.2 ns 0 errors in 32 iterations | |
- sz_find_from_set_serial 0.2286 GB/s 293561982.7 ns 0 errors in 36 iterations | |
- sz_find_from_set_neon 0.2289 GB/s 293157591.5 ns 0 errors in 36 iterations | |
- strcspn 0.2956 GB/s 226998443.9 ns 0 errors in 48 iterations | |
- std::string_view.find_last_of 0.2117 GB/s 317041158.2 ns 0 errors in 32 iterations | |
- sz_find_last_from_set_serial 0.2333 GB/s 287684198.9 ns 0 errors in 36 iterations |
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#include <string> | |
#include <iostream> | |
#include <cstdlib> | |
template <typename T = char> | |
struct failing_alloc : public std::allocator<T> { | |
using value_type = T; | |
failing_alloc() = default; | |
template <class U> failing_alloc(failing_alloc<U> const&) {} | |
template <typename U> struct rebind { typedef failing_alloc<U> other; }; |
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#if defined(WIN32) || defined(_WIN32) || defined(__WIN32__) || defined(__NT__) | |
#include <Windows.h> | |
#endif | |
namespace ashvardanian { | |
#if defined(WIN32) || defined(_WIN32) || defined(__WIN32__) || defined(__NT__) |
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def read_matrix(filename: str, start_row: int = 0, count_rows: Optional[int] = None): | |
""" | |
Read *.ibin, *.hbin, *.fbin, *.dbin files with matrixes. | |
Args: | |
:param filename (str): path to the matrix file | |
:param start_row (int): start reading vectors from this index | |
:param count_rows (int): number of vectors to read. If None, read all vectors | |
Returns: | |
Parsed matrix (numpy.ndarray) | |
""" |