9 Commits

Author	SHA1	Message	Date
Jared Van Bortel	50579f27e9	attempt to get test-backend-ops working	2024-01-10 16:37:01 -05:00
Jared Van Bortel	1eb8804c18	PR #4766	2024-01-10 12:26:31 -05:00
Finn Voorhees	1bf681f90e	ggml : add error handling to graph_compute (whisper/1714)	2024-01-05 18:02:06 +02:00
bssrdf	afc8c19291	ggml : fix some mul mat cases + add tests for src1 F16 (ggml/669) ... * fixed mul-mat error for old GPUs * style fixes * add mul mat src1 f16 test cases, fix more cases ggml-ci --------- Co-authored-by: bssrdf <bssrdf@gmail.com> Co-authored-by: slaren <slarengh@gmail.com>	2023-12-29 14:54:19 +02:00
slaren	5bf3953d7e	cuda : improve cuda pool efficiency using virtual memory (#4606) ... * cuda : improve cuda pool efficiency using virtual memory * fix mixtral * fix cmake build * check for vmm support, disable for hip ggml-ci * fix hip build * clarify granularity * move all caps to g_device_caps * refactor error checking * add cuda_pool_alloc, refactor most pool allocations ggml-ci * fix hip build * CUBLAS_TF32_TENSOR_OP_MATH is not a macro * more hip crap * llama : fix msvc warnings * ggml : fix msvc warnings * minor * minor * cuda : fallback to CPU on host buffer alloc fail * Update ggml-cuda.cu Co-authored-by: Johannes Gäßler <johannesg@5d6.de> * Update ggml-cuda.cu Co-authored-by: Johannes Gäßler <johannesg@5d6.de> * ensure allocations are always aligned * act_size -> actual_size --------- Co-authored-by: Johannes Gäßler <johannesg@5d6.de>	2023-12-24 14:34:22 +01:00
slaren	d232aca5a7	llama : initial ggml-backend integration (#4520) ... * llama : initial ggml-backend integration * add ggml-metal * cuda backend can be used though ggml-backend with LLAMA_GGML_BACKEND_CUDA_TEST access all tensor data with ggml_backend_tensor_get/set * add ggml_backend_buffer_clear zero-init KV cache buffer * add ggml_backend_buffer_is_hos, used to avoid copies if possible when accesing tensor data * disable gpu backends with ngl 0 * more accurate mlock * unmap offloaded part of the model * use posix_fadvise64(.., POSIX_FADV_SEQUENTIAL) to improve performance with mmap * update quantize and lora * update session copy/set to use ggml-backend ggml-ci * use posix_fadvise instead of posix_fadvise64 * ggml_backend_alloc_ctx_tensors_from_buft : remove old print * llama_mmap::align_offset : use pointers instead of references for out parameters * restore progress_callback behavior * move final progress_callback call to load_all_data * cuda : fix fprintf format string (minor) * do not offload scales * llama_mmap : avoid unmapping the same fragments again in the destructor * remove unnecessary unmap * metal : add default log function that prints to stderr, cleanup code ggml-ci --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>	2023-12-21 21:07:46 +01:00
Georgi Gerganov	fe680e3d10	sync : ggml (new ops, tests, backend, etc.) (#4359) ... * sync : ggml (part 1) * sync : ggml (part 2, CUDA) * sync : ggml (part 3, Metal) * ggml : build fixes ggml-ci * cuda : restore lost changes * cuda : restore lost changes (StableLM rope) * cmake : enable separable compilation for CUDA ggml-ci * ggml-cuda : remove device side dequantize * Revert "cmake : enable separable compilation for CUDA" This reverts commit 09e35d04b1. * cuda : remove assert for rope * tests : add test-backend-ops * ggml : fix bug in ggml_concat * ggml : restore `ggml_get_n_tasks()` logic in `ggml_graph_plan()` * ci : try to fix macOS * ggml-backend : remove backend self-registration * ci : disable Metal for macOS cmake build ggml-ci * metal : fix "supports family" call * metal : fix assert * metal : print resource path ggml-ci --------- Co-authored-by: slaren <slarengh@gmail.com>	2023-12-07 22:26:54 +02:00
Georgi Gerganov	4760e7cc0b	sync : ggml (backend v2) (#3912) ... * sync : ggml (backend v2) (wip) * sync : migrate examples and llama.cpp to dynamic graphs (wip) * sync : update tests + fix max op params to 64 ggml-ci * sync : ggml-cuda ggml-ci * llama : fix save/load state context size ggml-ci * sync : try to fix build on tvOS * sync : pass custom graph sizes in training examples * sync : update graph copies to new ggml API * sync : update sync-ggml.sh with new files * scripts : fix header in sync script * train : fix context size calculations * llama : increase inference graph size up to 4096 nodes * train : allocate grads for backward graphs * train : allocate grads for gb_tmp	2023-11-13 14:16:23 +02:00
Georgi Gerganov	db3abcc114	sync : ggml (ggml-backend) (#3548) ... * sync : ggml (ggml-backend) ggml-ci * zig : add ggml-backend to the build	2023-10-08 20:19:14 +03:00