public_git/whisper.cpp
1
0
Fork 0
mirror of https://github.com/ggml-org/whisper.cpp.git synced 2026-10-09 15:55:37 +02:00
Code Issues Packages Projects Releases Wiki Activity
Files
7a5e7368a343f275186c0ef1a01fe4b2d454ac2b
whisper.cpp/ggml/src/ggml-cuda
T
History
Akarshan Biswas 2ba5e0cb47 CUDA: fix build error from ambiguous __half conversions in conv2d (llama/15690) 
* CUDA: fix build error from ambiguous __half conversions in conv2d

Building conv2d with half precision failed because `__half` defines
multiple implicit conversion operators (to float, int, short, etc.),
causing ambiguous overload resolution when multiplying with float.

Introduce a templated `to_float` helper that explicitly converts
`__half` via `__half2float`, while passing through float unchanged.
Use this helper in conv2d accumulation to ensure unambiguous and
correct promotion to float.

Fixes some build errors with half-precision kernels on CUDA.

ggml-ci

* CUDA: Replace custom to_float helper with unified ggml_cuda_cast and add half‑>float conversion

* CUDA: Add missing convert.cuh header

* CUDA: remove unnecessary extension in ggml_cuda_cast

* CUDA: Address review comment, remove second type template argument
2025-09-20 13:42:46 +03:00
..
template-instances
llama : add gpt-oss (llama/15091)
2025-08-18 20:30:45 +03:00
vendors
CUDA: MoE helper in device code, better tile sizes (llama/15525)
2025-09-20 13:42:41 +03:00
acc.cu
llama/ggml: add LLM training support (llama/10544)
2025-05-13 13:59:21 +03:00
acc.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
add-id.cu
musa: fix build warnings (llama/15258)
2025-09-20 13:42:38 +03:00
add-id.cuh
llama : add gpt-oss (llama/15091)
2025-08-18 20:30:45 +03:00
arange.cu
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
arange.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
argmax.cu
cuda : optimize argmax (llama/10441)
2024-12-08 20:14:35 +02:00
argmax.cuh
ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)
2024-10-05 15:23:51 +03:00
argsort.cu
ggml : reduce hash table reset cost (llama/8698)
2024-08-08 22:48:46 +03:00
argsort.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
binbcast.cu
CUDA: fix bug in rms_norm fusion (llama/15660)
2025-09-20 13:42:44 +03:00
binbcast.cuh
CUDA: fuse adds, fuse add with rms norm (llama/15631)
2025-09-20 13:42:44 +03:00
clamp.cu
cuda: unary ops as float + de-duplicate (ggml/1130)
2025-03-08 15:13:01 +02:00
clamp.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
CMakeLists.txt
cuda: Add cublasLt_static linking when GGML_STATIC is enabled (llama/15622)
2025-09-20 13:42:43 +03:00
common.cuh
CUDA: return -1 for nonexistent compiled arch (llama/15587)
2025-09-20 13:42:42 +03:00
concat.cu
musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (llama/12611)
2025-03-31 14:56:53 +03:00
concat.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
conv2d-dw.cu
CUDA: add conv_2d_dw (llama/14265)
2025-06-21 07:34:17 +03:00
conv2d-dw.cuh
CUDA: add conv_2d_dw (llama/14265)
2025-06-21 07:34:17 +03:00
conv2d-transpose.cu
CUDA: add conv_2d_transpose (llama/14287)
2025-06-21 07:34:17 +03:00
conv2d-transpose.cuh
CUDA: add conv_2d_transpose (llama/14287)
2025-06-21 07:34:17 +03:00
conv2d.cu
CUDA: fix build error from ambiguous __half conversions in conv2d (llama/15690)
2025-09-20 13:42:46 +03:00
conv2d.cuh
CUDA: add conv2d (llama/15635)
2025-09-20 13:42:44 +03:00
conv-transpose-1d.cu
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
conv-transpose-1d.cuh
feat: cuda implementation for ggml_conv_transpose_1d (ggml/854)
2024-07-08 14:53:55 +03:00
convert.cu
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
convert.cuh
HIP: Cleanup hipification header (llama/15285)
2025-08-18 20:30:45 +03:00
count-equal.cu
ggml: fix zero division in ‘dne’ calculation in CUDA COUNT_EQUAL operator when ‘ne’ is small (#10213)
2024-11-15 15:21:04 +02:00
count-equal.cuh
ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)
2024-10-05 15:23:51 +03:00
cp-async.cuh
CUDA: FA support for Deepseek (Ampere or newer) (llama/13306)
2025-05-13 13:59:21 +03:00
cpy-utils.cuh
HIP: Cleanup hipification header (llama/15285)
2025-08-18 20:30:45 +03:00
cpy.cu
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
cpy.cuh
ggml: Re-enable CUDA graphs in presence of CONT and DUP nodes (llama/12970)
2025-04-24 20:39:16 +03:00
cross-entropy-loss.cu
CUDA: add dynamic shared mem to softmax, refactor general usage (llama/14497)
2025-07-12 19:23:56 +03:00
cross-entropy-loss.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-24 19:45:08 +03:00
dequantize.cuh
CUDA: replace GGML_CUDA_F16 with CUDA arch checks (llama/15433)
2025-09-20 13:42:38 +03:00
diagmask.cu
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
diagmask.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
fattn-common.cuh
CUDA: refactor FA support/selection code (llama/15454)
2025-09-20 13:42:38 +03:00
fattn-mma-f16.cuh
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
fattn-tile-f16.cu
CUDA: fix half2 -> half conversion for HIP (llama/15529)
2025-09-20 13:42:40 +03:00
fattn-tile-f16.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
fattn-tile-f32.cu
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
fattn-tile-f32.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
fattn-vec-f16.cuh
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
fattn-vec-f32.cuh
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
fattn-wmma-f16.cu
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
fattn-wmma-f16.cuh
CUDA: use mma PTX instructions for FlashAttention (llama/11583)
2025-02-03 22:00:57 +02:00
fattn.cu
CUDA: refactor FA support/selection code (llama/15454)
2025-09-20 13:42:38 +03:00
fattn.cuh
CUDA: refactor FA support/selection code (llama/15454)
2025-09-20 13:42:38 +03:00
getrows.cu
CUDA: replace GGML_CUDA_F16 with CUDA arch checks (llama/15433)
2025-09-20 13:42:38 +03:00
getrows.cuh
CUDA: batched+noncont MMQ, refactor bs>1 MoE code (llama/13199)
2025-05-01 13:29:02 +03:00
ggml-cuda.cu
CUDA: fix bug in rms_norm fusion (llama/15660)
2025-09-20 13:42:44 +03:00
gla.cu
llama: add support for QRWKV6 model architecture (llama/11001)
2025-01-14 10:38:01 +02:00
gla.cuh
llama: add support for QRWKV6 model architecture (llama/11001)
2025-01-14 10:38:01 +02:00
im2col.cu
llama : add gpt-oss (llama/15091)
2025-08-18 20:30:45 +03:00
im2col.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
mean.cu
cuda : fix GGML_CUDA_GRAPHS=OFF (llama/15300)
2025-08-18 20:30:45 +03:00
mean.cuh
CUDA: add mean operation (llama/14313)
2025-07-01 17:54:53 +03:00
mma.cuh
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
mmf.cu
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
mmf.cuh
CUDA: GEMM for FP32/FP16/BF16 and ne11 <= 16 (llama/15131)
2025-08-18 20:30:45 +03:00
mmq.cu
CUDA: MoE helper in device code, better tile sizes (llama/15525)
2025-09-20 13:42:41 +03:00
mmq.cuh
CUDA: MoE helper in device code, better tile sizes (llama/15525)
2025-09-20 13:42:41 +03:00
mmvf.cu
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
mmvf.cuh
CUDA: GEMM for FP32/FP16/BF16 and ne11 <= 16 (llama/15131)
2025-08-18 20:30:45 +03:00
mmvq.cu
musa: add GGML_UNUSED_VARS (llama/15446)
2025-09-20 13:42:38 +03:00
mmvq.cuh
CUDA: noncont MMVQ + batched bs1 MUL_MAT_ID (llama/13014)
2025-04-24 20:39:16 +03:00
norm.cu
CUDA: fix bug in rms_norm fusion (llama/15660)
2025-09-20 13:42:44 +03:00
norm.cuh
CUDA: fuse adds, fuse add with rms norm (llama/15631)
2025-09-20 13:42:44 +03:00
opt-step-adamw.cu
ggml: new optimization interface (ggml/988)
2024-11-20 21:00:08 +02:00
opt-step-adamw.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-24 19:45:08 +03:00
opt-step-sgd.cu
finetune: SGD optimizer, more CLI args (llama/13873)
2025-08-18 20:30:45 +03:00
opt-step-sgd.cuh
finetune: SGD optimizer, more CLI args (llama/13873)
2025-08-18 20:30:45 +03:00
out-prod.cu
CPU/CUDA: fix (GQA) mul mat back, add CUDA support (llama/11380)
2025-02-03 22:00:57 +02:00
out-prod.cuh
ggml/examples: add backend support for numerical optimization (ggml/949)
2024-09-24 19:45:08 +03:00
pad_reflect_1d.cu
cuda : add Pad Reflect 1D support (llama/14659)
2025-09-20 13:42:39 +03:00
pad_reflect_1d.cuh
cuda : add Pad Reflect 1D support (llama/14659)
2025-09-20 13:42:39 +03:00
pad.cu
musa: fix all warnings, re-enable -DLLAMA_FATAL_WARNINGS=ON in ci and update doc (llama/12611)
2025-03-31 14:56:53 +03:00
pad.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
pool2d.cu
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
pool2d.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
quantize.cu
CUDA: fix crash on large batch size for quant. MoE (llama/13537)
2025-05-19 14:58:39 +03:00
quantize.cuh
CUDA: batched+noncont MMQ, refactor bs>1 MoE code (llama/13199)
2025-05-01 13:29:02 +03:00
reduce_rows.cuh
musa: fix build warnings (llama/15258)
2025-09-20 13:42:38 +03:00
roll.cu
CUDA: add roll (llama/14919)
2025-08-18 20:30:45 +03:00
roll.cuh
CUDA: add roll (llama/14919)
2025-08-18 20:30:45 +03:00
rope.cu
cuda : fix rope with partial rotation and non-cont src (llama/14580)
2025-07-12 19:23:56 +03:00
rope.cuh
RoPE: fix back, CUDA support for back + noncont. (llama/11240)
2025-02-03 22:00:57 +02:00
scale.cu
ggml : add ggml_scale_bias (llama/14417)
2025-07-12 19:23:56 +03:00
scale.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
set-rows.cu
HIP: Cleanup hipification header (llama/15285)
2025-08-18 20:30:45 +03:00
set-rows.cuh
CUDA: add set rows for f32 and f16 (llama/14551)
2025-07-20 00:23:50 +03:00
softcap.cu
cuda : add softcap fusion (llama/14907)
2025-08-18 20:30:45 +03:00
softcap.cuh
cuda : add softcap fusion (llama/14907)
2025-08-18 20:30:45 +03:00
softmax.cu
llama : add gpt-oss (llama/15091)
2025-08-18 20:30:45 +03:00
softmax.cuh
CUDA: backwards pass for misc. ops, add tests (llama/11257)
2025-02-03 22:00:57 +02:00
ssm-conv.cu
model : support LiquidAI LFM2 hybrid family (llama/14620)
2025-07-12 19:23:56 +03:00
ssm-conv.cuh
ggml : faster ssm scan (llama/10558)
2025-04-02 15:51:57 +03:00
ssm-scan.cu
ggml : fix SSM_SCAN for n_groups > 1 (llama/15625)
2025-09-20 13:42:43 +03:00
ssm-scan.cuh
ggml : faster ssm scan (llama/10558)
2025-04-02 15:51:57 +03:00
sum.cu
CUDA: Optimize reduce_rows_f32 kernel, leading up to 25x perf improvement on kernel-level and 10% perf increase for Gemma3n (llama/15132)
2025-08-18 20:30:45 +03:00
sum.cuh
tests: add gradient tests for all backends (ggml/932)
2024-09-24 19:45:08 +03:00
sumrows.cu
CUDA: Optimize reduce_rows_f32 kernel, leading up to 25x perf improvement on kernel-level and 10% perf increase for Gemma3n (llama/15132)
2025-08-18 20:30:45 +03:00
sumrows.cuh
CUDA: add mean operation (llama/14313)
2025-07-01 17:54:53 +03:00
tsembd.cu
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
tsembd.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
unary.cu
llama : add gpt-oss (llama/15091)
2025-08-18 20:30:45 +03:00
unary.cuh
llama : add gpt-oss (llama/15091)
2025-08-18 20:30:45 +03:00
upscale.cu
CUDA: add bilinear interpolation for upscale (llama/14563)
2025-07-12 19:23:56 +03:00
upscale.cuh
whisper : reorganize source code + improve CMake (#2256)
2024-06-26 19:34:09 +03:00
vecdotq.cuh
CUDA: Accelerate MXFP4 table lookup using __byte_perm (llama/15451)
2025-09-20 13:42:41 +03:00
wkv.cu
llama: Add support for RWKV v7 architecture (llama/12412)
2025-03-27 11:06:03 +02:00
wkv.cuh
llama: Add support for RWKV v7 architecture (llama/12412)
2025-03-27 11:06:03 +02:00