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zhiayang zhiayang @flax-lang Singapore zhiayang.github.io programming languages and kernels

zhiayang/mx 12

Hobby Operating System in C++

zhiayang/nx 8

a kernel in c++

zhiayang/mkvtaginator 4

tag mkv files sanely and automatically

zhiayang/instrad 3

instruction (assembler) & disassembler, for x86.

zhiayang/adventofcode 1

Advent of Code solutions (2015-2019)

zhiayang/EPIC 1

Tiny kernel experiment with the goal of running a precompiled 64-bit Linux ELF executable of `echo` as-is. Purely for educational purposes.

zhiayang/moestreamer 1

macOS menubar music player

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OrionOS, Revision 4

flax-lang/reference-manual 0

Reference manual for Flax

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Linux kernel variant from Analog Devices; see README.md for details

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issue commentxtensor-stack/xtensor

np.matmul implementation

right, I just looked into the xt::linalg::dot implementation and it does work properly for the (a, b, c) x (c, d) case to give (a, b, d). It doesn't do the (a, b) x (b, c, d) -> (a, c, d) case (is that even a useful thing? idk, like i said I have close to 0 math background) nor the (a, b, c) x (a, c, d) -> (a, b, d) case -- or at least the output is different from that of numpy.

As for the template thing, this is what i came up with, after digging a bit into the sources:

template <typename At, typename Bt, typename R = std::common_type_t<typename At::value_type, typename Bt::value_type>>
xarray<R> matrix_mul(const xexpression<At>& aexp, const xexpression<Bt>& bexp)

more importantly, is the implementation mathematically/logically sound?

YeeCY

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issue commentxtensor-stack/xtensor

np.matmul implementation

neither xtensor nor xtensor-blas have implemented matmul as described here, so I implemented my own version that properly handles broadcasting; eg. you can multiply perform (2, 4, 3) x (3, 5) as well as (5, 2) x (2, 4, 6).

template <class _Tp>
xt::xarray<_Tp> matrix_mul(xt::xarray<_Tp> a, xt::xarray<_Tp> b)
{
	using Arr = xt::xarray<_Tp>;

	if(a.dimension() == 1 && b.dimension() == 1)
	{
		return xt::linalg::outer(a, b);
	}
	else if(a.dimension() <= 2 && b.dimension() <= 2)
	{
		return xt::linalg::dot(a, b);
	}
	else
	{
		if(a.dimension() == b.dimension())
		{
			assert(a.shape()[0] == b.shape()[0]);
			size_t layers = a.shape()[0];

			Arr tmp;
			{
				Arr a0 = xt::view(a, 0);
				Arr b0 = xt::view(b, 0);
				tmp = matrix_mul(std::move(a0), std::move(b0));
			}

			auto out_shape = tmp.shape();
			out_shape.insert(out_shape.begin(), layers);

			auto result = Arr::from_shape(out_shape);
			xt::view(result, 0) = tmp;

			for(size_t i = 1; i < layers; i++)
			{
				Arr ai = xt::view(a, i);
				Arr bi = xt::view(b, i);
				xt::view(result, i) = matrix_mul(std::move(ai), std::move(bi));
			}

			return result;
		}
		else if(a.dimension() > b.dimension())
		{
			size_t layers = a.shape()[0];

			Arr tmp;
			{
				Arr a0 = xt::view(a, 0);
				tmp = matrix_mul(std::move(a0), b);
			}

			auto out_shape = tmp.shape();
			out_shape.insert(out_shape.begin(), layers);

			auto result = Arr::from_shape(out_shape);
			xt::view(result, 0) = std::move(tmp);

			for(size_t i = 1; i < layers; i++)
			{
				Arr ai = xt::view(a, i);
				xt::view(result, i) = matrix_mul(std::move(ai), b);
			}

			return result;
		}
		else
		{
			assert(a.dimension() < b.dimension());
			size_t layers = b.shape().back();

			Arr tmp;
			{
				Arr b0 = xt::strided_view(b, { xt::ellipsis(), 0 });
				tmp = matrix_mul(a, std::move(b0));
			}

			auto out_shape = tmp.shape();
			out_shape.insert(out_shape.end(), layers);

			auto result = Arr::from_shape(out_shape);
			xt::strided_view(result, { xt::ellipsis(), 0 }) = std::move(tmp);

			for(size_t i = 1; i < layers; i++)
			{
				Arr bi = xt::strided_view(b, { xt::ellipsis(), i });
				xt::strided_view(result, { xt::ellipsis(), i }) = matrix_mul(a, std::move(bi));
			}

			return result;
		}
	}
}

I have neither a strong math background nor a BLAS background, so idk how correct this is; it looks mathematically sound from my small tests, but I'm sure it can be made more efficient.

YeeCY

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neural net library in c++

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issue commenttsoding/something

window too small

are you running on a high-dpi display? or running with some kind of display scaling?

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pull request commentYbalrid/kissnet

Address #17

looks good to me! thanks for the quick fix (:

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kernel: fix spinlock/mutex move constructors. also, lock stuff. pendingSignalQueue is now Synchronised<>.

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kernel: simplify and unify blocking (mutexes and convars) now both mutex and condvar utilise a "condition" type; a mutex inherits from it, and a condvar contains an internal member of it. the scheduler now has a unified interface: all of block(), notifyOne, and notifyAll() [previously wakeUpBlockers] operate on these 'conditions'. also, condvar is now correctly implemented. owo.

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issue openedYbalrid/kissnet

Uninitialised fields when OpenSSL is enabled

The socket destructor unconditionally calls this->close(), and that checks:

if(pSSL && pContext) { SSL_xxx(...) } Unfortunately these fields are pointers that aren't initialised to a value unless you connect() the socket first. So, destructing an unconnected socket with SSL enabled will most likely result in trying to pass garbage pointers to openSSL and causing a crash.

A simple fix is just to set them to nullptr either at the declaration site or in the constructor. They also need to be set to zero when moved from, similar to this getaddrinfo_results fix.

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pull request commentYbalrid/kissnet

Update kissnet.hpp

Yep, I've applied the fixes locally in the meantime and they seem to work fine!

However, there's another issue regarding the SSL state; not sure if I should open another issue but i'll just talk about it here:

The socket destructor unconditionally calls this->close(), and that checks:

if(pSSL && pContext) {
    SSL_xxx(...)
}

Unfortunately these fields are pointers that aren't initialised to a value unless you connect() the socket first. So, destructing an unconnected socket with SSL enabled will most likely result in trying to pass garbage pointers to openSSL and causing a crash.

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issue openedYbalrid/kissnet

Double free when moved

When either the move constructor or move-assign operator is called, we do:

this->getaddrinfo_results = std::move(other.getaddrinfo_results);

unfortunately, std::move does not set the moved-from pointer (ie. other.getaddrinfo_results) to null; when the rvalue is destructed after being moved from, it will call freeaddrinfo() on the result which has been moved.

When the "real" socket is then destructed, it will call freeaddrinfo() again on the same result pointer, leading to a double-free.

created time in 3 months

issue closedzhiayang/nx

libc build failure

$ uname -a
 Linux sagittarius 5.6.10-arch1-1 #1 SMP PREEMPT Sat, 02 May 2020 19:11:54 +0000 x86_64 GNU/Linux

Commit: 8d97c23dad63931ba0be62ec270b572d9abc5f49

./bootstrap (after successul build of gcc and binutils) Log:

=> building libm
=> building libc
In file included from source/platform/thread_local.cpp:5:
source/platform/../../include/nx/thread_local.h:7:10: fatal error: nx/thread.h: No such file or directory
    7 | #include <nx/thread.h>
      |          ^~~~~~~~~~~~~
compilation terminated.
make: *** [makefile:38: source/platform/thread_local.cpp.o] Error 1
!> libc compilation failed!

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herrhotzenplotz

issue commentzhiayang/nx

libc build failure

Closed by 66ff38f

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IssuesEvent

issue closedzhiayang/nx

libc build failure

$ uname -a
 Linux sagittarius 5.6.10-arch1-1 #1 SMP PREEMPT Sat, 02 May 2020 19:11:54 +0000 x86_64 GNU/Linux

Commit: 8d97c23dad63931ba0be62ec270b572d9abc5f49

./bootstrap (after successul build of gcc and binutils) Log:

=> building libm
=> building libc
In file included from source/platform/thread_local.cpp:5:
source/platform/../../include/nx/thread_local.h:7:10: fatal error: nx/thread.h: No such file or directory
    7 | #include <nx/thread.h>
      |          ^~~~~~~~~~~~~
compilation terminated.
make: *** [makefile:38: source/platform/thread_local.cpp.o] Error 1
!> libc compilation failed!

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commit sha 31c20897f3f37e67df5f722de11f9966c9925a11

kernel: move memticket code out of the syscall namespace

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commit sha 8d97c23dad63931ba0be62ec270b572d9abc5f49

kernel: move some ipc stuff around

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startedsigma-os/Sigma

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commit sha d8dbe73646c25e2af2b13679290ee614e07db533

krt: stuff

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commit sha d0afd6771c7955a936b650a442ea8382ce13c832

instrad: copy changes from upstream

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commit sha 5d063cb34715d45011485c6ff8b14cec3822af9c

kernel: fix demangler

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commit sha 7bdbdce2736a7b220cf37dc3ac728345268ab534

krt: fix bug in krt::string trying to deallocate the inline buffer

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commit sha e86e33ebd79e04203dc426daeee816bd63a54ca8

driver/ps2: fix the bug where the controller wouldn't work

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commit sha 5d3ef9d830d10ffa50ba9e58a6be35191024e25e

libinstrad: update upstream

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commit sha faa5a22642ab22c6ce123912c4be6511cd2002dc

kernel: safely crash the thread when an exception happens previously we were calling scheduler::exit from the exception context, which called yield(), which does int $0xF8. this is 0% safe, since the interrupt flag will never be restored. now, we have a new crashFromException() function that will directly call the scheduler to switch away from the thread.

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commit sha 5b3cf176f52ce6d24f017ff0381677ee491cfb1e

kernel: fix demangler

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commit sha a8d8d8ded45e27163016e4c12a2e1688c9f25993

kernel: change disasm to at&t syntax

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commit sha 947e174316fc167bd2fa9b59b82e5a57b2fddf1f

kernel: fill uninitialised and freed heap memory with patterns

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