RYDE-WORK/llama.cpp
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llama.cpp/ggml/src/ggml-cuda
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Johannes Gäßler 424c5d00a9 ggml/examples: add backend support for numerical optimization (ggml/949) 
* CUDA eval works

* stochastic gradient descent op

* Adam except decay

* CUDA CROSS_ENTROPY_LOSS_BACK

* CUDA mnist-fc training works

* backend CLI arg

* refactor gguf load

* remove sched from opt_step_adam

* implement l1 regularization (weight decay)

* extra call to add optimizer

* initialize gradients with ggml_graph_reset

* gradient accumulation

* increment iter per eval instead of epoch

* adjust backend interfaces

* fix ggml_graph_reset without backend

* fix ggml graph export/import

* fixup

* rename

* revert ggml_opt changes

* more general CUDA repeat_back

* update documentation, fix CNN

* validation split

* add clarifying comment

* optimize PyTorch training

* adjust buffer size, thread count

* fix 0.0f validation split

* Update examples/mnist/mnist-common.cpp

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

* fix gradient accumulation

* tensor flag for accumulators -> tensor hash set

* Update include/ggml.h

Co-authored-by: slaren <slarengh@gmail.com>

* Update tests/test-backend-ops.cpp

Co-authored-by: slaren <slarengh@gmail.com>

* Update tests/test-backend-ops.cpp

Co-authored-by: slaren <slarengh@gmail.com>

* fix test prints

* Update src/ggml-backend.c

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

* better CUDA support for noncontiguous out_prod

* add comment

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
2024-09-20 21:15:05 +03:00
..
template-instances
CUDA: MMQ code deduplication + iquant support (#8495)
2024-07-20 22:25:26 +02:00
vendors
musa: remove Clang builtins mapping (#9421)
2024-09-11 03:46:55 +02:00
acc.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
acc.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
arange.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
arange.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
argsort.cu
ggml : reduce hash table reset cost (#8698)
2024-07-27 04:41:55 +02:00
argsort.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
binbcast.cu
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
binbcast.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
clamp.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
clamp.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
common.cuh
cuda : organize vendor-specific headers into vendors directory (#8746)
2024-07-29 14:56:12 +02:00
concat.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
concat.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
conv-transpose-1d.cu
feat: cuda implementation for ggml_conv_transpose_1d (ggml/854)
2024-07-08 12:23:00 +03:00
conv-transpose-1d.cuh
feat: cuda implementation for ggml_conv_transpose_1d (ggml/854)
2024-07-08 12:23:00 +03:00
convert.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
convert.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
cpy.cu
cuda : fix defrag with quantized KV (#9319)
2024-09-05 11:13:11 +02:00
cpy.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
cross-entropy-loss.cu
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
cross-entropy-loss.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
dequantize.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
diagmask.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
diagmask.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
dmmv.cu
cuda : fix dmmv cols requirement to 2*GGML_CUDA_DMMV_X (#8800)
2024-08-01 15:26:22 +02:00
dmmv.cuh
cuda : fix dmmv cols requirement to 2*GGML_CUDA_DMMV_X (#8800)
2024-08-01 15:26:22 +02:00
fattn-common.cuh
CPU/CUDA: Gemma 2 FlashAttention support (#8542)
2024-08-24 21:34:59 +02:00
fattn-tile-f16.cu
CPU/CUDA: Gemma 2 FlashAttention support (#8542)
2024-08-24 21:34:59 +02:00
fattn-tile-f16.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
fattn-tile-f32.cu
CPU/CUDA: Gemma 2 FlashAttention support (#8542)
2024-08-24 21:34:59 +02:00
fattn-tile-f32.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
fattn-vec-f16.cuh
CPU/CUDA: Gemma 2 FlashAttention support (#8542)
2024-08-24 21:34:59 +02:00
fattn-vec-f32.cuh
CPU/CUDA: Gemma 2 FlashAttention support (#8542)
2024-08-24 21:34:59 +02:00
fattn-wmma-f16.cuh
CPU/CUDA: Gemma 2 FlashAttention support (#8542)
2024-08-24 21:34:59 +02:00
fattn.cu
cuda : fix FA Q src index (1 -> 0) (#9374)
2024-09-08 22:01:02 +03:00
fattn.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
getrows.cu
ggml : reduce hash table reset cost (#8698)
2024-07-27 04:41:55 +02:00
getrows.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
im2col.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
im2col.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
mma.cuh
CUDA: optimize and refactor MMQ (#8416)
2024-07-11 16:47:47 +02:00
mmq.cu
CUDA: fix --split-mode row race condition (#9413)
2024-09-11 10:22:40 +02:00
mmq.cuh
CUDA: fix --split-mode row race condition (#9413)
2024-09-11 10:22:40 +02:00
mmvq.cu
ggml : reduce hash table reset cost (#8698)
2024-07-27 04:41:55 +02:00
mmvq.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
norm.cu
ggml : add epsilon as a parameter for group_norm (#8818)
2024-08-06 10:26:46 +03:00
norm.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
opt-step-adamw.cu
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
opt-step-adamw.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
out-prod.cu
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
out-prod.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
pad.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
pad.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
pool2d.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
pool2d.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
quantize.cu
ggml : reduce hash table reset cost (#8698)
2024-07-27 04:41:55 +02:00
quantize.cuh
CUDA: optimize and refactor MMQ (#8416)
2024-07-11 16:47:47 +02:00
rope.cu
ggml : move rope type enum to ggml.h (#8949)
2024-08-13 21:13:15 +02:00
rope.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
scale.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
scale.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
softmax.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
softmax.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
sum.cu
CUDA: fix sum.cu compilation for CUDA < 11.7 (#9562)
2024-09-20 18:35:35 +02:00
sum.cuh
tests: add gradient tests for all backends (ggml/932)
2024-09-08 11:05:55 +03:00
sumrows.cu
sync : ggml
2024-08-27 22:41:27 +03:00
sumrows.cuh
sync : ggml
2024-08-27 22:41:27 +03:00
tsembd.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
tsembd.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
unary.cu
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
unary.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-20 21:15:05 +03:00
upscale.cu
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
upscale.cuh
llama : reorganize source code + improve CMake (#8006)
2024-06-26 18:33:02 +03:00
vecdotq.cuh
CUDA: MMQ code deduplication + iquant support (#8495)
2024-07-20 22:25:26 +02:00