337 commits

Author	SHA1	Message	Date
Concedo	af170fc2db	Merge branch 'master' into concedo_experimental ... # Conflicts: # README.md # llama.cpp # scripts/sync-ggml.sh # tests/test-tokenizer-0.cpp	2023-08-23 17:08:09 +08:00
Concedo	39cc83e8c9	incomplete merge, compiles but generates rubbish	2023-08-22 23:12:47 +08:00
Georgi Gerganov	ef3f333d37	ggml : sync latest (SAM + SD operators, CUDA alibi) (#2709) ... * ggml : sync latest (SAM + SD operators, CUDA alibi) ggml-ci * ggml : fix tabs	2023-08-22 14:22:08 +03:00
Concedo	2d17c22437	functional commit before gguf merge	2023-08-22 18:20:06 +08:00
Georgi Gerganov	6381d4e110	gguf : new file format with flexible meta data (beta) (#2398) ... * gguf : first API pass * gguf : read header + meta data * gguf : read tensor info * gguf : initial model loading - not tested * gguf : add gguf_get_tensor_name() * gguf : do not support passing existing ggml_context to gguf_init * gguf : simplify gguf_get_val * gguf : gguf.c is now part of ggml.c * gguf : read / write sample models * gguf : add comments * refactor : reduce code duplication and better API (#2415) * gguf : expose the gguf_type enum through the API for now * gguf : add array support * gguf.py : some code style changes * convert.py : start a new simplified implementation by removing old stuff * convert.py : remove GGML vocab + other obsolete stuff * GGUF : write tensor (#2426) * WIP: Write tensor * GGUF : Support writing tensors in Python * refactor : rm unused import and upd todos * fix : fix errors upd writing example * rm example.gguf * gitignore *.gguf * undo formatting * gguf : add gguf_find_key (#2438) * gguf.cpp : find key example * ggml.h : add gguf_find_key * ggml.c : add gguf_find_key * gguf : fix writing tensors * gguf : do not hardcode tensor names to read * gguf : write sample tensors to read * gguf : add tokenization constants * quick and dirty conversion example * gguf : fix writing gguf arrays * gguf : write tensors one by one and code reuse * gguf : fix writing gguf arrays * gguf : write tensors one by one * gguf : write tensors one by one * gguf : write tokenizer data * gguf : upd gguf conversion script * Update convert-llama-h5-to-gguf.py * gguf : handle already encoded string * ggml.h : get array str and f32 * ggml.c : get arr str and f32 * gguf.py : support any type * Update convert-llama-h5-to-gguf.py * gguf : fix set is not subscriptable * gguf : update convert-llama-h5-to-gguf.py * constants.py : add layer norm eps * gguf.py : add layer norm eps and merges * ggml.h : increase GGML_MAX_NAME to 64 * ggml.c : add gguf_get_arr_n * Update convert-llama-h5-to-gguf.py * add gptneox gguf example * Makefile : add gptneox gguf example * Update convert-llama-h5-to-gguf.py * add gptneox gguf example * Update convert-llama-h5-to-gguf.py * Update convert-gptneox-h5-to-gguf.py * Update convert-gptneox-h5-to-gguf.py * Update convert-llama-h5-to-gguf.py * gguf : support custom alignment value * gguf : fix typo in function call * gguf : mmap tensor data example * fix : update convert-llama-h5-to-gguf.py * Update convert-llama-h5-to-gguf.py * convert-gptneox-h5-to-gguf.py : Special tokens * gptneox-main.cpp : special tokens * Update gptneox-main.cpp * constants.py : special tokens * gguf.py : accumulate kv and tensor info data + special tokens * convert-gptneox-h5-to-gguf.py : accumulate kv and ti + special tokens * gguf : gguf counterpart of llama-util.h * gguf-util.h : update note * convert-llama-h5-to-gguf.py : accumulate kv / ti + special tokens * convert-llama-h5-to-gguf.py : special tokens * Delete gptneox-common.cpp * Delete gptneox-common.h * convert-gptneox-h5-to-gguf.py : gpt2bpe tokenizer * gptneox-main.cpp : gpt2 bpe tokenizer * gpt2 bpe tokenizer (handles merges and unicode) * Makefile : remove gptneox-common * gguf.py : bytesarray for gpt2bpe tokenizer * cmpnct_gpt2bpe.hpp : comments * gguf.py : use custom alignment if present * gguf : minor stuff * Update gptneox-main.cpp * map tensor names * convert-gptneox-h5-to-gguf.py : map tensor names * convert-llama-h5-to-gguf.py : map tensor names * gptneox-main.cpp : map tensor names * gguf : start implementing libllama in GGUF (WIP) * gguf : start implementing libllama in GGUF (WIP) * rm binary commited by mistake * upd .gitignore * gguf : calculate n_mult * gguf : inference with 7B model working (WIP) * gguf : rm deprecated function * gguf : start implementing gguf_file_saver (WIP) * gguf : start implementing gguf_file_saver (WIP) * gguf : start implementing gguf_file_saver (WIP) * gguf : add gguf_get_kv_type * gguf : add gguf_get_kv_type * gguf : write metadata in gguf_file_saver (WIP) * gguf : write metadata in gguf_file_saver (WIP) * gguf : write metadata in gguf_file_saver * gguf : rm references to old file formats * gguf : shorter name for member variable * gguf : rm redundant method * gguf : get rid of n_mult, read n_ff from file * Update gguf_tensor_map.py * Update gptneox-main.cpp * gguf : rm references to old file magics * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : start implementing quantization (WIP) * gguf : quantization is working * gguf : roper closing of file * gguf.py : no need to convert tensors twice * convert-gptneox-h5-to-gguf.py : no need to convert tensors twice * convert-llama-h5-to-gguf.py : no need to convert tensors twice * convert-gptneox-h5-to-gguf.py : simplify nbytes * convert-llama-h5-to-gguf.py : simplify nbytes * gptneox-main.cpp : n_layer --> n_block * constants.py : n_layer --> n_block * gguf.py : n_layer --> n_block * convert-gptneox-h5-to-gguf.py : n_layer --> n_block * convert-llama-h5-to-gguf.py : n_layer --> n_block * gptneox-main.cpp : n_layer --> n_block * Update gguf_tensor_map.py * convert-gptneox-h5-to-gguf.py : load model in parts to save memory * convert-llama-h5-to-gguf.py : load model in parts to save memory * convert : write more metadata for LLaMA * convert : rm quantization version * convert-gptneox-h5-to-gguf.py : add file_type key * gptneox-main.cpp : add file_type key * fix conflicts * gguf : add todos and comments * convert-gptneox-h5-to-gguf.py : tensor name map changes * Create gguf_namemap.py : tensor name map changes * Delete gguf_tensor_map.py * gptneox-main.cpp : tensor name map changes * convert-llama-h5-to-gguf.py : fixes * gguf.py : dont add empty strings * simple : minor style changes * gguf : use UNIX line ending * Create convert-llama-7b-pth-to-gguf.py * llama : sync gguf-llama.cpp with latest llama.cpp (#2608) * llama : sync gguf-llama.cpp with latest llama.cpp * minor : indentation + assert * llama : refactor gguf_buffer and gguf_ctx_buffer * llama : minor * gitignore : add gptneox-main * llama : tokenizer fixes (#2549) * Merge tokenizer fixes into the gguf branch. * Add test vocabularies * convert : update convert-new.py with tokenizer fixes (#2614) * Merge tokenizer fixes into the gguf branch. * Add test vocabularies * Adapt convert-new.py (and fix a clang-cl compiler error on windows) * llama : sync gguf-llama with llama (#2613) * llama : sync gguf-llama with llama * tests : fix build + warnings (test-tokenizer-1 still fails) * tests : fix wstring_convert * convert : fix layer names * llama : sync gguf-llama.cpp * convert : update HF converter to new tokenizer voodoo magics * llama : update tokenizer style * convert-llama-h5-to-gguf.py : add token types * constants.py : add token types * gguf.py : add token types * convert-llama-7b-pth-to-gguf.py : add token types * gguf-llama.cpp : fix n_head_kv * convert-llama-h5-to-gguf.py : add 70b gqa support * gguf.py : add tensor data layout * convert-llama-h5-to-gguf.py : add tensor data layout * convert-llama-7b-pth-to-gguf.py : add tensor data layout * gptneox-main.cpp : add tensor data layout * convert-llama-h5-to-gguf.py : clarify the reverse permute * llama : refactor model loading code (#2620) * llama : style formatting + remove helper methods * llama : fix quantization using gguf tool * llama : simplify gguf_file_saver * llama : fix method names * llama : simplify write_header() * llama : no need to pass full file loader to the file saver just gguf_ctx * llama : gguf_file_saver write I32 * llama : refactor tensor names (#2622) * gguf: update tensor names searched in quantization * gguf : define tensor names as constants * gguf : initial write API (not tested yet) * gguf : write to file API (not tested) * gguf : initial write API ready + example * gguf : fix header write * gguf : fixes + simplify example + add ggml_nbytes_pad() * gguf : minor * llama : replace gguf_file_saver with new gguf write API * gguf : streaming support when writing files * gguf : remove oboslete write methods * gguf : remove obosolete gguf_get_arr_xxx API * llama : simplify gguf_file_loader * llama : move hparams and vocab from gguf_file_loader to llama_model_loader * llama : merge gguf-util.h in llama.cpp * llama : reorder definitions in .cpp to match .h * llama : minor simplifications * llama : refactor llama_model_loader (WIP) wip : remove ggml_ctx from llama_model_loader wip : merge gguf_file_loader in llama_model_loader * llama : fix shape prints * llama : fix Windows build + fix norm_rms_eps key * llama : throw error on missing KV paris in model meta data * llama : improve printing + log meta data * llama : switch print order of meta data --------- Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com> * gguf : deduplicate (#2629) * gguf : better type names * dedup : CPU + Metal is working * ggml : fix warnings about unused results * llama.cpp : fix line feed and compiler warning * llama : fix strncpy warning + note token_to_str does not write null * llama : restore the original load/save session implementation Will migrate this to GGUF in the future * convert-llama-h5-to-gguf.py : support alt ctx param name * ggml : assert when using ggml_mul with non-F32 src1 * examples : dedup simple --------- Co-authored-by: klosax <131523366+klosax@users.noreply.github.com> * gguf.py : merge all files in gguf.py * convert-new.py : pick #2427 for HF 70B support * examples/gguf : no need to keep q option for quantization any more * llama.cpp : print actual model size * llama.cpp : use ggml_elements() * convert-new.py : output gguf (#2635) * convert-new.py : output gguf (WIP) * convert-new.py : add gguf key-value pairs * llama : add hparams.ctx_train + no longer print ftype * convert-new.py : minor fixes * convert-new.py : vocab-only option should work now * llama : fix tokenizer to use llama_char_to_byte * tests : add new ggml-vocab-llama.gguf * convert-new.py : tensor name mapping * convert-new.py : add map for skipping tensor serialization * convert-new.py : convert script now works * gguf.py : pick some of the refactoring from #2644 * convert-new.py : minor fixes * convert.py : update to support GGUF output * Revert "ci : disable CI temporary to not waste energy" This reverts commit 7e82d25f40386540c2c15226300ad998ecd871ea. * convert.py : n_head_kv optional and .gguf file extension * convert.py : better always have n_head_kv and default it to n_head * llama : sync with recent PRs on master * editorconfig : ignore models folder ggml-ci * ci : update ".bin" to ".gguf" extension ggml-ci * llama : fix llama_model_loader memory leak * gptneox : move as a WIP example * llama : fix lambda capture ggml-ci * ggml : fix bug in gguf_set_kv ggml-ci * common.h : .bin --> .gguf * quantize-stats.cpp : .bin --> .gguf * convert.py : fix HF tensor permuting / unpacking ggml-ci * llama.cpp : typo * llama : throw error if gguf fails to init from file ggml-ci * llama : fix tensor name grepping during quantization ggml-ci * gguf.py : write tensors in a single pass (#2644) * gguf : single pass for writing tensors + refactoring writer * gguf : single pass for writing tensors + refactoring writer * gguf : single pass for writing tensors + refactoring writer * gguf : style fixes in simple conversion script * gguf : refactor gptneox conversion script * gguf : rename h5 to hf (for HuggingFace) * gguf : refactor pth to gguf conversion script * gguf : rm file_type key and method * gguf.py : fix vertical alignment * gguf.py : indentation --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * convert-gptneox-hf-to-gguf.py : fixes * gguf.py : gptneox mapping * convert-llama-hf-to-gguf.py : fixes * convert-llama-7b-pth-to-gguf.py : fixes * ggml.h : reverse GGUF_MAGIC * gguf.py : reverse GGUF_MAGIC * test-tokenizer-0.cpp : fix warning * llama.cpp : print kv general.name * llama.cpp : get special token kv and linefeed token id * llama : print number of tensors per type + print arch + style * tests : update vocab file with new magic * editorconfig : fix whitespaces * llama : re-order functions * llama : remove C++ API + reorganize common source in /common dir * llama : minor API updates * llama : avoid hardcoded special tokens * llama : fix MPI build ggml-ci * llama : introduce enum llama_vocab_type + remove hardcoded string constants * convert-falcon-hf-to-gguf.py : falcon HF --> gguf conversion, not tested * falcon-main.cpp : falcon inference example * convert-falcon-hf-to-gguf.py : remove extra kv * convert-gptneox-hf-to-gguf.py : remove extra kv * convert-llama-7b-pth-to-gguf.py : remove extra kv * convert-llama-hf-to-gguf.py : remove extra kv * gguf.py : fix for falcon 40b * falcon-main.cpp : fix for falcon 40b * convert-falcon-hf-to-gguf.py : update ref * convert-falcon-hf-to-gguf.py : add tensor data layout * cmpnct_gpt2bpe.hpp : fixes * falcon-main.cpp : fixes * gptneox-main.cpp : fixes * cmpnct_gpt2bpe.hpp : remove non-general stuff * Update examples/server/README.md Co-authored-by: slaren <slarengh@gmail.com> * cmpnct_gpt2bpe.hpp : cleanup * convert-llama-hf-to-gguf.py : special tokens * convert-llama-7b-pth-to-gguf.py : special tokens * convert-permute-debug.py : permute debug print * convert-permute-debug-master.py : permute debug for master * convert-permute-debug.py : change permute type of attn_q * convert.py : 70b model working (change attn_q permute) * Delete convert-permute-debug-master.py * Delete convert-permute-debug.py * convert-llama-hf-to-gguf.py : fix attn_q permute * gguf.py : fix rope scale kv * convert-llama-hf-to-gguf.py : rope scale and added tokens * convert-llama-7b-pth-to-gguf.py : rope scale and added tokens * llama.cpp : use rope scale kv * convert-llama-7b-pth-to-gguf.py : rope scale fix * convert-llama-hf-to-gguf.py : rope scale fix * py : fix whitespace * gguf : add Python script to convert GGMLv3 LLaMA models to GGUF (#2682) * First pass at converting GGMLv3 LLaMA models to GGUF * Cleanups, better output during conversion * Fix vocab space conversion logic * More vocab conversion fixes * Add description to converted GGUF files * Improve help text, expand warning * Allow specifying name and description for output GGUF * Allow overriding vocab and hyperparams from original model metadata * Use correct params override var name * Fix wrong type size for Q8_K Better handling of original style metadata * Set default value for gguf add_tensor raw_shape KW arg * llama : improve token type support (#2668) * Merge tokenizer fixes into the gguf branch. * Add test vocabularies * Adapt convert-new.py (and fix a clang-cl compiler error on windows) * Improved tokenizer test But does it work on MacOS? * Improve token type support - Added @klosax code to convert.py - Improved token type support in vocabulary * Exclude platform dependent tests * More sentencepiece compatibility by eliminating magic numbers * Restored accidentally removed comment * llama : add API for token type ggml-ci * tests : use new tokenizer type API (#2692) * Merge tokenizer fixes into the gguf branch. * Add test vocabularies * Adapt convert-new.py (and fix a clang-cl compiler error on windows) * Improved tokenizer test But does it work on MacOS? * Improve token type support - Added @klosax code to convert.py - Improved token type support in vocabulary * Exclude platform dependent tests * More sentencepiece compatibility by eliminating magic numbers * Restored accidentally removed comment * Improve commentary * Use token type API in test-tokenizer-1.cpp * py : cosmetics * readme : add notice about new file format ggml-ci --------- Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com> Co-authored-by: klosax <131523366+klosax@users.noreply.github.com> Co-authored-by: goerch <jhr.walter@t-online.de> Co-authored-by: slaren <slarengh@gmail.com> Co-authored-by: Kerfuffle <44031344+KerfuffleV2@users.noreply.github.com>	2023-08-21 23:07:43 +03:00
slaren	9e232f0234	ggml : move all type info to ggml_type_traits (#2663)	2023-08-20 22:17:53 +02:00
Concedo	28ad80b6e4	Merge branch 'master' into concedo_experimental	2023-08-08 00:34:10 +08:00
Georgi Gerganov	93356bdb7a	ggml : mul mat tweaks (#2372) ... * ggml : mul mat wip ggml-ci * ggml : alternative thread distribution for mul_mat ggml-ci * ggml : mul_mat block tiling attempt * ggml : mul_mat threads yield ggml-ci	2023-08-07 14:25:58 +03:00
Georgi Gerganov	60baff7c85	ggml : pad result of ggml_nbytes()	2023-08-07 14:24:42 +03:00
Georgi Gerganov	9082b5dfbf	ggml : change params pointer (style change) (#2539) ... ggml-ci	2023-08-07 13:55:18 +03:00
Georgi Gerganov	99d29c0094	ggml : sync (custom ops) (#2537) ... ggml-ci	2023-08-07 13:20:09 +03:00
Concedo	3e370f83ef	Warning: Very experimental merge, do not use until confirmed stable.	2023-07-31 22:33:43 +08:00
slaren	a113689571	ggml : add graph tensor allocator (#2411) ... * ggml : add graph tensor allocator * ggml : don't calculate data pointer of unallocated tensors when creating a view with an offset * ggml : refactor ggml_view_Nd into ggml_view_tensor_offset	2023-07-30 15:58:01 +02:00
Concedo	cde3760e52	Merge branch 'master' into concedo_experimental ... # Conflicts: # Makefile # README.md # ggml.h # llama.cpp	2023-07-29 17:47:00 +08:00
slaren	b5472ea0ad	ggml : fix assert in ggml_set_unary_op (#2410)	2023-07-26 23:57:23 +02:00
slaren	5488fb789e	ggml : allocate graphs in a context (#2392) ... * ggml : graph allocation in contexts * allocate work buffer as a ggml_object in ggml_graph_compute_with_ctx * llama.cpp : allocate graph in the context * add GGML_PAD --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>	2023-07-26 15:56:53 +02:00
Concedo	6a054b80b0	Merge branch 'master' into concedo_experimental ... # Conflicts: # .github/workflows/build.yml # scripts/build-info.sh	2023-07-25 22:55:55 +08:00
slaren	07aaa0f63f	ggml : fix ggml_flash_attn to use op_params (#2387) ... * ggml : fix ggml_flash_attn to use op_params	2023-07-25 16:20:12 +02:00
Jiahao Li	875086bdb9	ggml : relax contiguous constraints in activation function (#2371)	2023-07-25 15:58:32 +03:00
slaren	da1889834a	ggml : improve graph build time via hash table lookup (#2329) ... * improve graph build time * ggml_tensor : use 1 bit per flag * use a hash table instead	2023-07-25 15:32:20 +03:00
Concedo	3e68cdd26a	Merge branch 'master' into concedo_experimental ... # Conflicts: # Makefile # tests/test-grad0.c	2023-07-25 18:52:48 +08:00
Concedo	48c27a9ce1	hotfix for 70b broadcast issues	2023-07-25 01:32:47 +08:00
slaren	41c674161f	make rms_norm_eps a parameter (#2374) ... * make rms_norm_eps a parameter * add rms_norm_eps to command line * fix baby llama, test-grad0 * use scientific notation for eps param in the help ggml-ci	2023-07-24 17:57:12 +02:00
Concedo	8a9b40840b	Merge branch 'master' into concedo_experimental ... # Conflicts: # tests/test-grad0.c # tests/test-opt.c	2023-07-24 20:51:28 +08:00
Georgi Gerganov	5b2b2dc6ae	ggml : sync (unary ops refactor, static-correctness) (#2370) ... * ggml : sync (unary ops, tests) ggml-ci * tests : remove unnecessary funcs	2023-07-24 14:46:21 +03:00
Concedo	910744e2c0	Merge branch 'master' into concedo_experimental ... # Conflicts: # Makefile # README.md # flake.nix # llama.cpp	2023-07-23 22:37:38 +08:00
slaren	3602ac4255	fix n_tasks (#2342) ... ggml-ci	2023-07-23 15:19:39 +02:00
slaren	95a6c595e7	ggml: move op parameters from tensors to ggml_tensor::op_params (#2333) ... * ggml: move op parameters from tensors to ggml_tensor::op_params * alibi: use memcpy for float params * remove `src[1] = NULL` in ops	2023-07-23 14:36:02 +02:00
Concedo	343ae756fa	Merge branch 'master' into concedo_experimental ... # Conflicts: # .gitignore # CMakeLists.txt # Makefile # README.md # flake.nix # ggml-cuda.cu	2023-07-22 11:51:30 +08:00
Georgi Gerganov	0db14fef06	ggml : fix the rope fix (513f861953)	2023-07-21 15:16:55 +03:00
Georgi Gerganov	513f861953	ggml : fix rope args order + assert (#2054)	2023-07-21 14:51:34 +03:00
Concedo	e9467f5a44	auto rope scale adjustments, added sched yield fix for apple, adjust warning for mirostat	2023-07-19 16:44:44 +08:00
Concedo	374fffb9c6	Reworking rope WIP	2023-07-19 00:54:41 +08:00
Concedo	0a11f50da8	reenabled sched_yield, reduced sampler warning msg to once per session	2023-07-18 20:26:18 +08:00
Concedo	6d32e7fc8b	Merge commit 'a6803cab94' into concedo_experimental ... # Conflicts: # .devops/tools.sh # Makefile # build.zig # flake.nix # ggml-cuda.cu # ggml.h # tests/test-grad0.c # tests/test-opt.c	2023-07-18 19:12:06 +08:00
Qingyou Meng	672dda10e4	ggml : fixed runtime bugs and compile errors related to GGML_PERF and GGML_DEBUG (#2219) ... * fixed runtime bugs and compile errors related to GGML_PERF and GGML_DEBUG * remove ifdef GGML_PERF; update fmt	2023-07-16 22:57:28 +03:00
Xiao-Yong Jin	6e7cca4047	llama : add custom RoPE (#2054) ... * Implement customizable RoPE The original RoPE has pre-defined parameters theta_i = 10000^(−2(i−1)/d), for i in [1, 2, ..., d/2] Our customizable RoPE, ggml_rope_custom_inplace, uses theta_i = scale * base^(−2(i−1)/d), for i in [1, 2, ..., d/2] with the default matches the original scale = 1.0 base = 10000 The new command line arguments --rope-freq-base --rope-freq-scale set the two new RoPE parameter. Recent researches show changing these two parameters extends the context limit with minimal loss. 1. Extending Context to 8K kaiokendev https://kaiokendev.github.io/til#extending-context-to-8k 2. Extending Context Window of Large Language Models via Positional Interpolation Shouyuan Chen, Sherman Wong, Liangjian Chen, Yuandong Tian https://arxiv.org/abs/2306.15595 3. NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation. https://www.reddit.com/user/bloc97 https://www.reddit.com/r/LocalLLaMA/comments/14lz7j5/ntkaware_scaled_rope_allows_llama_models_to_have/ For the bold, try adding the following command line parameters to your favorite model: -c 16384 --rope-freq-base 80000 --rope-freq-scale 0.5 * ggml-metal: fix custom rope * common: fix argument names in help * llama: increase MEM_REQ_EVAL for MODEL_3B It avoids crashing for quantized weights on CPU. Better ways to calculate the required buffer size would be better. * llama: make MEM_REQ_EVAL depend on n_ctx * server: use proper Content-Type in curl examples Without the header Content-Type: application/json, curl will POST with Content-Type: application/x-www-form-urlencoded Though our simple server doesn't care, the httplib.h used has a limit with CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH 8192 With Content-Type: application/json, we can send large json data. * style : minor fixes, mostly indentations * ggml : fix asserts --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>	2023-07-15 13:34:16 +03:00
Evan Miller	e8035f141e	ggml : fix static_assert with older compilers #2024 (#2218)	2023-07-14 21:55:56 +03:00
Georgi Gerganov	697966680b	ggml : sync (ggml_conv_2d, fix mul_mat bug, CUDA GLM rope)	2023-07-14 16:36:41 +03:00
Georgi Gerganov	975221e954	ggml : broadcast mul_mat + conv batch support (#2199) ... * ggml : broadcast mul_mat + conv batch support * ggml : apply mul_mat broadcast fix by @jploski	2023-07-12 20:51:29 +03:00
Georgi Gerganov	4523d10d0c	ggml : add ggml_pool_1d and ggml_pool_2d	2023-07-12 20:32:15 +03:00
Concedo	5941514e95	Merge commit '5bf2a27718' into concedo_experimental ... # Conflicts: # .devops/tools.sh # README.md	2023-07-12 13:05:16 +08:00
Georgi Gerganov	20d7740a9b	ggml : sync (abort callback, mul / add broadcast, fix alibi) (#2183)	2023-07-11 22:53:34 +03:00
Spencer Sutton	5bf2a27718	ggml : remove src0 and src1 from ggml_tensor and rename opt to src (#2178) ... * Add ggml changes * Update train-text-from-scratch for change * mpi : adapt to new ggml_tensor->src --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>	2023-07-11 19:31:10 +03:00
Concedo	4be167915a	added linear rope option, added warning for bad samplers	2023-07-11 18:08:19 +08:00
Concedo	50097e6c7f	Merge branch 'master' into concedo_experimental ... # Conflicts: # CMakeLists.txt # README.md # llama.cpp	2023-07-10 20:08:27 +08:00
clyang	3bbc1a11f0	ggml : fix buidling with Intel MKL but ask for "cblas.h" issue (#2104) (#2115) ... * Fix buidling with Intel MKL but ask for "cblas.h" issue * Use angle brackets to indicate the system library	2023-07-09 11:12:20 +03:00
Concedo	15576bc865	Merge branch 'kquant_vocab_fix' into concedo_experimental ... # Conflicts: # .github/workflows/build.yml # Makefile # README.md # llama.cpp # tests/CMakeLists.txt # tests/test-grad0.c # tests/test-opt.c	2023-07-08 20:43:20 +08:00
Qingyou Meng	1d656d6360	ggml : change ggml_graph_compute() API to not require context (#1999) ... * ggml_graph_compute: deprecate using ggml_context, try resolve issue #287 * rewrite: no longer consider backward compitability; plan and make_plan * minor: rename ctx as plan; const * remove ggml_graph_compute from tests/test-grad0.c, but current change breaks backward * add static ggml_graph_compute_sugar() * minor: update comments * reusable buffers * ggml : more consistent naming + metal fixes * ggml : fix docs * tests : disable grad / opt + minor naming changes * ggml : add ggml_graph_compute_with_ctx() - backwards compatible API - deduplicates a lot of copy-paste * ci : enable test-grad0 * examples : factor out plan allocation into a helper function * llama : factor out plan stuff into a helper function * ci : fix env * llama : fix duplicate symbols + refactor example benchmark * ggml : remove obsolete assert + refactor n_tasks section * ggml : fix indentation in switch * llama : avoid unnecessary bool * ggml : remove comments from source file and match order in header --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>	2023-07-07 19:24:01 +03:00
Georgi Gerganov	7242140283	ggml : remove sched_yield() call in ggml_graph_compute_thread() (#2134)	2023-07-07 18:37:10 +03:00