nihui
dda2e28bae
skip fp16a gpu test ( #6820 )
2026-07-13 15:13:46 +08:00
nihui
f74639deeb
gemm block quantization infrastructure for llm decoder style ( #6814 )
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* another mha oob read
2026-07-13 10:13:39 +08:00
nihui
13b6d5318c
fix naive mha out-of-bound read ( #6812 )
2026-07-08 13:55:11 +08:00
nihui
127b414614
reshape support batch to/from dim ( #6784 )
2026-07-02 19:29:34 +08:00
nihui
f6f734f44d
vulkan int8 kernels ( #6751 )
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* vulkan: add int8 kernels for core layers
Implement Vulkan int8 paths for convolution, convolutiondepthwise, innerproduct, and gemm with scalar fallback and integer dot product shader branches. Add goal.md and enable existing int8 unit tests for Vulkan coverage.
* enable int8 gpu benchmark
2026-06-17 17:39:49 +08:00
nihui
9c62afb90c
batch infrastructure ( #6656 )
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* batch-aware record upload download
* cast and packing batch
2026-06-17 17:38:53 +08:00
nihui
61b3247dc6
add more oom test ( #6759 )
2026-05-30 14:59:33 +08:00
nihui
104edd7f78
mips/loongarch: remove dead code and optimize transpose pack ( #6749 )
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* limit test nT, add gemm int8 nT test
2026-05-28 23:02:28 +08:00
nihui
b76824882e
refactor mips loongArch packing coding style ( #6745 )
2026-05-26 15:15:01 +08:00
nihui
706c4d1964
support 4d mat in more operators ( #6737 )
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Add 4d Mat handling across generic and optimized backends, extend operator tests, and document supported input and output Mat dimensions.
2026-05-22 15:31:01 +08:00
Lune
bedf9c6568
unaryop: extend sign, hyperbolic, expm1 and log1p support ( #6675 )
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Add backend support for new UnaryOp operations across scalar, SIMD and Vulkan paths, including sign, sinh, cosh, asinh, acosh, atanh, expm1 and log1p.
Wire the new ops through onnx2ncnn and pnnx expression conversion, update generated Python emission, and add regression coverage for the new conversion paths.
Fix portability issues for expm1/log1p math declarations, NCNN_SIMPLEMATH builds, ONNX-enabled pnnx linking, and stabilize unary op tests across fp16, bf16 and torch exporter/version differences.
Co-authored-by: nihui <nihuini@tencent.com >
2026-05-21 16:19:58 +08:00
nihui
0f5c6ef2ce
massive mips and loongarch optimization ( #6662 )
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Co-authored-by: nihui <171016+nihui@users.noreply.github.com >
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com >
2026-05-19 08:19:35 +08:00
Justin Fung
b9c6e636cf
RVV1.0 Requantize Layer ( #6695 )
2026-05-18 16:27:15 +08:00
Justin Fung
abfa9d2e6f
RVV1.0 Dequantize Layer ( #6658 )
2026-05-18 15:38:30 +08:00
nihui
f6b75ceeb8
add fp16s test, skip cpu test for fp16p ( #6724 )
2026-05-15 10:14:31 +08:00
nihui
5a4a483293
unroll 16 for convolution x86 bf16s avx512 ( #6680 )
2026-05-10 16:06:50 +08:00
nihui
10cee2a7bc
Fix x86 bf16 GEMM packing on i386 ( #6708 )
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Correct the i386 AVX512BF16 B-tile packing order so dpbf16 consumes k/k+1 pairs instead of adjacent columns. This fixes intermittent x86 32-bit bf16s GEMM failures on AVX512BF16 hosts without disabling AVX512 paths.
Also make the MultiHeadAttention int8 test inputs follow the same dynamic-quantization-safe randomization used by GEMM int8 tests, avoiding values near .5 rounding boundaries while keeping the tensors random and reproducible.
2026-05-09 13:22:23 +08:00
風的彷徨
a53d0d4b42
conv1d gemm with cm ( #6587 )
...
Co-authored-by: nihui <nihuini@tencent.com >
2026-05-09 11:48:42 +08:00
Junwha Hong
8da3df96cd
Fix BOF in the last channel handling logic of SSE ShuffleChannel ( #5735 )
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Signed-off-by: Junwha Hong <qbit@unist.ac.kr >
Co-authored-by: junwha <17183234+junwha@users.noreply.github.com >
Co-authored-by: nihui <nihuini@tencent.com >
2026-05-09 11:45:33 +08:00
nihui
8c18666821
feat(vulkan): persist pipeline cache ( #6702 )
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Add single-file Vulkan pipeline cache save/load support with strict device, driver, shader, and payload validation. Cache compiled SPIR-V per shader hash alongside the driver pipeline cache blob, add focused cache tests, and document the current Vulkan pipeline cache architecture and usage.
Limit Vulkan layer test cache growth with a shared test-only pipeline cache window so repeated test_layer() calls can still exercise cache reuse.
Co-authored-by: futz12 <56149058+futz12@users.noreply.github.com >
Co-authored-by: CLV-Iclucia <89170890+CLV-Iclucia@users.noreply.github.com >
2026-05-09 09:37:06 +08:00
Lune
d0d5063117
[OPT] x86: optimize PixelShuffle with SIMD block transpose ( #6690 )
2026-04-22 19:42:01 +08:00
Justin Fung
71b1a61f97
RVV 1.0 Quantize Layer ( #6636 )
2026-04-17 21:44:44 +08:00
ihb2032
086dda45c2
Add RVV implementation for threshold ( #6676 )
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---------
Signed-off-by: ihb2032 <hebome@foxmail.com >
2026-04-14 15:39:54 +08:00
風的彷徨
51d4fcfcb2
Remove ability of cm for bf16s and add sdpa perf (decode & prefill) ( #6632 )
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* add sdpa perf
* apply code-format changes
* unify datetype between nv & khr
* remove bf16p when use cm
2026-04-14 10:37:40 +08:00
nihui
e694ecdb56
convolution x86 support bf16 storage ( #6626 )
2026-04-09 11:25:51 +08:00
ihb2032
18ac4ca83c
Add RVV implementation for log ( #6638 )
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* rvv: add log
* add test
Signed-off-by: ihb2032 <hebome@foxmail.com >
2026-04-06 12:15:48 +08:00
ihb2032
74f371181a
Add RVV implementation for exp ( #6637 )
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* rvv: add exp
* add test
Signed-off-by: ihb2032 <hebome@foxmail.com >
2026-04-06 12:15:34 +08:00
nihui
371bbad09b
gemm x86 support out_elemtype, multiheadattention and sdpa x86 support bf16 storage, skip mha bf16 tests ( #6623 )
2026-03-31 15:29:45 +08:00
nihui
913badf2a0
x86 interp optimization ( #6597 )
2026-03-11 19:10:50 +08:00
nihui
5cb7641afa
x86: add LayerNorm_x86 bf16s storage support with avx512bf16 dispatch ( #6585 )
2026-03-08 16:08:59 +08:00
風的彷徨
f698111525
fmod logaddexp floor_divide remainder support for binaryop ( #6549 )
2026-03-08 00:05:11 +08:00
nihui
081f2b86d9
vulkan deconvolution gemm unified elempack ( #6572 )
2026-03-02 20:53:51 +08:00
nihui
512c6ca8f4
perf infrastructure ( #6570 )
2026-03-02 15:45:20 +08:00
nihui
f6e1c0cd49
x86 deconvolution packed unified elempack ( #6568 )
2026-02-28 22:30:58 +08:00
nihui
b1a08ae9ed
packed shape hint for vulkan layers ( #6553 )
2026-02-26 14:33:43 +08:00
nihui
e5e09d5ee3
readonly mappedfile wrapper class, use_mapped_model_loading option ( #6537 )
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* test mmap loading
2026-02-09 22:15:51 +08:00
nihui
e665c48470
sdpa vulkan flash attention with cooperative matrix optimization ( #6528 )
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* disable sm pad on old driver
2026-02-04 14:21:02 +08:00
nihui
21bfe858bc
gemm vulkan bf16 cooperative matrix optimization ( #6515 )
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* cannot alias shared memory for output with a and b
* opt bf16p on fp16s
2026-01-20 21:15:04 +08:00
nihui
ce2c5659b9
sdpa vulkan ( #6514 )
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* sdpa vulkan
* unroll 2x2
* local memory opt
2026-01-16 17:41:29 +08:00
nihui
419db5e04d
net load api wchar_t version ( #6491 )
2026-01-06 15:33:26 +08:00
nihui
6bc338e561
c-api / pyncnn expose more option setter getter ( #6489 )
2026-01-06 12:48:43 +08:00
nihui
e5639d308d
discard pipeline cache for gpu shape hint tests, reduce gpu memory usage under tests ( #6486 )
2026-01-04 22:57:57 +08:00
nihui
6499fc0348
vulkan bf16 infrastructure ( #6469 )
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* skip gpu bf16 winograd
* update doc
2026-01-04 19:34:50 +08:00
nihui
c99cb27c42
unroll n-tile x16 for gemm x86 avx512 ( #6434 )
2025-12-02 15:54:12 +08:00
nihui
44b88e4f16
test gemm oom ( #6429 )
2025-11-28 19:09:31 +08:00
nihui
544230f71d
gemm x86 tile-N threading, drop testutil layer hook function ( #6428 )
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* test threading
* drop testutil layer hook function
2025-11-28 15:48:48 +08:00
風的彷徨
9d294b2162
spda x86 optimization (using gemm & softmax) ( #6421 )
2025-11-26 10:43:13 +08:00
nihui
559a8e8cb0
rotaryembed layer ( #6407 )
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* add deepseek_v3 attention test
* fuse non interleaved rotary embed
* fuse t5 layernorm without gamma
* test qwen2 attention
* sdpa pattern ++
2025-11-19 17:28:08 +08:00
nihui
11fb99795b
sdpa kvcache ( #6405 )
2025-11-18 11:05:27 +08:00
nihui
d73c0d6fd8
pnnx ncnn convert tensor expand to tile, fix missing tile repeats ( #6399 )
2025-11-12 10:56:57 +08:00