gpt4all/gpt4all-bindings/typescript/prompt.h
Jacob Nguyen da95bcfb4b
vulkan support for typescript bindings, gguf support (#1390)
* adding some native methods to cpp wrapper

* gpu seems to work

* typings and add availibleGpus method

* fix spelling

* fix syntax

* more

* normalize methods to conform to py

* remove extra dynamic linker deps when building with vulkan

* bump python version (library linking fix)

* Don't link against libvulkan.

* vulkan python bindings on windows fixes

* Bring the vulkan backend to the GUI.

* When device is Auto (the default) then we will only consider discrete GPU's otherwise fallback to CPU.

* Show the device we're currently using.

* Fix up the name and formatting.

* init at most one vulkan device, submodule update

fixes issues w/ multiple of the same gpu

* Update the submodule.

* Add version 2.4.15 and bump the version number.

* Fix a bug where we're not properly falling back to CPU.

* Sync to a newer version of llama.cpp with bugfix for vulkan.

* Report the actual device we're using.

* Only show GPU when we're actually using it.

* Bump to new llama with new bugfix.

* Release notes for v2.4.16 and bump the version.

* Fallback to CPU more robustly.

* Release notes for v2.4.17 and bump the version.

* Bump the Python version to python-v1.0.12 to restrict the quants that vulkan recognizes.

* Link against ggml in bin so we can get the available devices without loading a model.

* Send actual and requested device info for those who have opt-in.

* Actually bump the version.

* Release notes for v2.4.18 and bump the version.

* Fix for crashes on systems where vulkan is not installed properly.

* Release notes for v2.4.19 and bump the version.

* fix typings and vulkan build works on win

* Add flatpak manifest

* Remove unnecessary stuffs from manifest

* Update to 2.4.19

* appdata: update software description

* Latest rebase on llama.cpp with gguf support.

* macos build fixes

* llamamodel: metal supports all quantization types now

* gpt4all.py: GGUF

* pyllmodel: print specific error message

* backend: port BERT to GGUF

* backend: port MPT to GGUF

* backend: port Replit to GGUF

* backend: use gguf branch of llama.cpp-mainline

* backend: use llamamodel.cpp for StarCoder

* conversion scripts: cleanup

* convert scripts: load model as late as possible

* convert_mpt_hf_to_gguf.py: better tokenizer decoding

* backend: use llamamodel.cpp for Falcon

* convert scripts: make them directly executable

* fix references to removed model types

* modellist: fix the system prompt

* backend: port GPT-J to GGUF

* gpt-j: update inference to match latest llama.cpp insights

- Use F16 KV cache
- Store transposed V in the cache
- Avoid unnecessary Q copy

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

ggml upstream commit 0265f0813492602fec0e1159fe61de1bf0ccaf78

* chatllm: grammar fix

* convert scripts: use bytes_to_unicode from transformers

* convert scripts: make gptj script executable

* convert scripts: add feed-forward length for better compatiblilty

This GGUF key is used by all llama.cpp models with upstream support.

* gptj: remove unused variables

* Refactor for subgroups on mat * vec kernel.

* Add q6_k kernels for vulkan.

* python binding: print debug message to stderr

* Fix regenerate button to be deterministic and bump the llama version to latest we have for gguf.

* Bump to the latest fixes for vulkan in llama.

* llamamodel: fix static vector in LLamaModel::endTokens

* Switch to new models2.json for new gguf release and bump our version to
2.5.0.

* Bump to latest llama/gguf branch.

* chat: report reason for fallback to CPU

* chat: make sure to clear fallback reason on success

* more accurate fallback descriptions

* differentiate between init failure and unsupported models

* backend: do not use Vulkan with non-LLaMA models

* Add q8_0 kernels to kompute shaders and bump to latest llama/gguf.

* backend: fix build with Visual Studio generator

Use the $<CONFIG> generator expression instead of CMAKE_BUILD_TYPE. This
is needed because Visual Studio is a multi-configuration generator, so
we do not know what the build type will be until `cmake --build` is
called.

Fixes #1470

* remove old llama.cpp submodules

* Reorder and refresh our models2.json.

* rebase on newer llama.cpp

* python/embed4all: use gguf model, allow passing kwargs/overriding model

* Add starcoder, rift and sbert to our models2.json.

* Push a new version number for llmodel backend now that it is based on gguf.

* fix stray comma in models2.json

Signed-off-by: Aaron Miller <apage43@ninjawhale.com>

* Speculative fix for build on mac.

* chat: clearer CPU fallback messages

* Fix crasher with an empty string for prompt template.

* Update the language here to avoid misunderstanding.

* added EM German Mistral Model

* make codespell happy

* issue template: remove "Related Components" section

* cmake: install the GPT-J plugin (#1487)

* Do not delete saved chats if we fail to serialize properly.

* Restore state from text if necessary.

* Another codespell attempted fix.

* llmodel: do not call magic_match unless build variant is correct (#1488)

* chatllm: do not write uninitialized data to stream (#1486)

* mat*mat for q4_0, q8_0

* do not process prompts on gpu yet

* python: support Path in GPT4All.__init__ (#1462)

* llmodel: print an error if the CPU does not support AVX (#1499)

* python bindings should be quiet by default

* disable llama.cpp logging unless GPT4ALL_VERBOSE_LLAMACPP envvar is
  nonempty
* make verbose flag for retrieve_model default false (but also be
  overridable via gpt4all constructor)

should be able to run a basic test:

```python
import gpt4all
model = gpt4all.GPT4All('/Users/aaron/Downloads/rift-coder-v0-7b-q4_0.gguf')
print(model.generate('def fib(n):'))
```

and see no non-model output when successful

* python: always check status code of HTTP responses (#1502)

* Always save chats to disk, but save them as text by default. This also changes
the UI behavior to always open a 'New Chat' and setting it as current instead
of setting a restored chat as current. This improves usability by not requiring
the user to wait if they want to immediately start chatting.

* Update README.md

Signed-off-by: umarmnaq <102142660+umarmnaq@users.noreply.github.com>

* fix embed4all filename

https://discordapp.com/channels/1076964370942267462/1093558720690143283/1161778216462192692

Signed-off-by: Aaron Miller <apage43@ninjawhale.com>

* Improves Java API signatures maintaining back compatibility

* python: replace deprecated pkg_resources with importlib (#1505)

* Updated chat wishlist (#1351)

* q6k, q4_1 mat*mat

* update mini-orca 3b to gguf2, license

Signed-off-by: Aaron Miller <apage43@ninjawhale.com>

* convert scripts: fix AutoConfig typo (#1512)

* publish config https://docs.npmjs.com/cli/v9/configuring-npm/package-json#publishconfig (#1375)

merge into my branch

* fix appendBin

* fix gpu not initializing first

* sync up

* progress, still wip on destructor

* some detection work

* untested dispose method

* add js side of dispose

* Update gpt4all-bindings/typescript/index.cc

Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>

* Update gpt4all-bindings/typescript/index.cc

Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>

* Update gpt4all-bindings/typescript/index.cc

Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>

* Update gpt4all-bindings/typescript/src/gpt4all.d.ts

Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>

* Update gpt4all-bindings/typescript/src/gpt4all.js

Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>

* Update gpt4all-bindings/typescript/src/util.js

Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>

* fix tests

* fix circleci for nodejs

* bump version

---------

Signed-off-by: Aaron Miller <apage43@ninjawhale.com>
Signed-off-by: umarmnaq <102142660+umarmnaq@users.noreply.github.com>
Signed-off-by: Jacob Nguyen <76754747+jacoobes@users.noreply.github.com>
Co-authored-by: Aaron Miller <apage43@ninjawhale.com>
Co-authored-by: Adam Treat <treat.adam@gmail.com>
Co-authored-by: Akarshan Biswas <akarshan.biswas@gmail.com>
Co-authored-by: Cebtenzzre <cebtenzzre@gmail.com>
Co-authored-by: Jan Philipp Harries <jpdus@users.noreply.github.com>
Co-authored-by: umarmnaq <102142660+umarmnaq@users.noreply.github.com>
Co-authored-by: Alex Soto <asotobu@gmail.com>
Co-authored-by: niansa/tuxifan <tuxifan@posteo.de>
2023-11-01 14:38:58 -05:00

45 lines
1.2 KiB
C++

#ifndef TSFN_CONTEXT_H
#define TSFN_CONTEXT_H
#include "napi.h"
#include "llmodel_c.h"
#include <thread>
#include <mutex>
#include <iostream>
#include <atomic>
#include <memory>
struct PromptWorkContext {
std::string question;
llmodel_model inference_;
llmodel_prompt_context prompt_params;
std::string res;
};
struct TsfnContext {
public:
TsfnContext(Napi::Env env, const PromptWorkContext &pc);
std::thread nativeThread;
Napi::Promise::Deferred deferred_;
PromptWorkContext pc;
Napi::ThreadSafeFunction tsfn;
// Some data to pass around
// int ints[ARRAY_LENGTH];
};
// The thread entry point. This takes as its arguments the specific
// threadsafe-function context created inside the main thread.
void threadEntry(TsfnContext*);
// The thread-safe function finalizer callback. This callback executes
// at destruction of thread-safe function, taking as arguments the finalizer
// data and threadsafe-function context.
void FinalizerCallback(Napi::Env, void* finalizeData, TsfnContext*);
bool response_callback(int32_t token_id, const char *response);
bool recalculate_callback (bool isrecalculating);
bool prompt_callback (int32_t tid);
#endif // TSFN_CONTEXT_H