Johannes Gäßler 432df2d5f9 RoPE: fix back, CUDA support for back + noncont. (#11240) ...

* RoPE: fix back, CUDA support for back + noncont.

* fix comments reg. non-cont. RoPE support [no-ci]

2025-01-15 12:51:37 +01:00

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template-instances

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vendors

CUDA: add BF16 support (#11093)

2025-01-06 02:33:52 +01:00

acc.cu

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acc.cuh

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arange.cu

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arange.cuh

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argmax.cu

cuda : optimize argmax (#10441)

2024-11-21 18:18:50 +01:00

argmax.cuh

ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)

2024-10-03 21:17:26 +03:00

argsort.cu

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argsort.cuh

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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

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clamp.cuh

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CMakeLists.txt

cmake : enable warnings in llama (#10474)

2024-11-26 14:18:08 +02:00

common.cuh

CUDA: rename macros to avoid conflicts with WinAPI (#10736)

2024-12-10 18:23:24 +01:00

concat.cu

fix: add missing msg in static_assert (#11143)

2025-01-08 20:03:28 +00:00

concat.cuh

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conv-transpose-1d.cu

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conv-transpose-1d.cuh

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convert.cu

CUDA: add BF16 support (#11093)

2025-01-06 02:33:52 +01:00

convert.cuh

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count-equal.cu

ggml: fix zero division in ‘dne’ calculation in CUDA COUNT_EQUAL operator when ‘ne’ is small (#10213)

2024-11-09 08:35:46 +01:00

count-equal.cuh

ggml/ex: calculate accuracy in graph, adapt MNIST (ggml/980)

2024-10-03 21:17:26 +03:00

cpy.cu

cuda: add q8_0->f32 cpy operation (#9571)

2024-09-24 02:14:24 +02:00

cpy.cuh

increase cuda_cpy block size (ggml/996)

2024-10-26 10:33:56 +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

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diagmask.cu

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diagmask.cuh

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fattn-common.cuh

ggml : build backends as libraries (#10256)

2024-11-14 18:04:35 +01:00

fattn-tile-f16.cu

ggml : build backends as libraries (#10256)

2024-11-14 18:04:35 +01:00

fattn-tile-f16.cuh

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fattn-tile-f32.cu

ggml : build backends as libraries (#10256)

2024-11-14 18:04:35 +01:00

fattn-tile-f32.cuh

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fattn-vec-f16.cuh

CUDA: remove unnecessary warp reduce in FA (ggml/1032)

2024-12-03 20:04:49 +02:00

fattn-vec-f32.cuh

CUDA: remove unnecessary warp reduce in FA (ggml/1032)

2024-12-03 20:04:49 +02:00

fattn-wmma-f16.cuh

ggml : build backends as libraries (#10256)

2024-11-14 18:04:35 +01:00

fattn.cu

CUDA: rename macros to avoid conflicts with WinAPI (#10736)

2024-12-10 18:23:24 +01:00

fattn.cuh

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getrows.cu

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getrows.cuh

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ggml-cuda.cu

RoPE: fix back, CUDA support for back + noncont. (#11240)

2025-01-15 12:51:37 +01:00

gla.cu

llama: add support for QRWKV6 model architecture (#11001)

2025-01-10 09:58:08 +08:00

gla.cuh

llama: add support for QRWKV6 model architecture (#11001)

2025-01-10 09:58:08 +08:00

im2col.cu

CUDA: fix 1D im2col, add tests (ggml/993)

2024-10-23 16:50:02 +03:00

im2col.cuh

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mma.cuh

CUDA: rename macros to avoid conflicts with WinAPI (#10736)

2024-12-10 18:23:24 +01:00

mmq.cu

CUDA: rename macros to avoid conflicts with WinAPI (#10736)

2024-12-10 18:23:24 +01:00

mmq.cuh

CUDA: rename macros to avoid conflicts with WinAPI (#10736)

2024-12-10 18:23:24 +01:00

mmv.cu

CUDA: add BF16 support (#11093)

2025-01-06 02:33:52 +01:00

mmv.cuh

CUDA: remove DMMV, consolidate F16 mult mat vec (#10318)

2024-11-17 09:09:55 +01:00

mmvq.cu

CUDA: rename macros to avoid conflicts with WinAPI (#10736)

2024-12-10 18:23:24 +01:00

mmvq.cuh

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norm.cu

ggml : add epsilon as a parameter for group_norm (#8818)

2024-08-06 10:26:46 +03:00

norm.cuh

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opt-step-adamw.cu

ggml: new optimization interface (ggml/988)

2024-11-17 08:30:29 +02:00

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 : fix builds (#0)

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

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pad.cuh

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pool2d.cu

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pool2d.cuh

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quantize.cu

cuda : optimize argmax (#10441)

2024-11-21 18:18:50 +01:00

quantize.cuh

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rope.cu

RoPE: fix back, CUDA support for back + noncont. (#11240)

2025-01-15 12:51:37 +01:00

rope.cuh

RoPE: fix back, CUDA support for back + noncont. (#11240)

2025-01-15 12:51:37 +01:00

scale.cu

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scale.cuh

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softmax.cu

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softmax.cuh

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sum.cu

CUDA: rename macros to avoid conflicts with WinAPI (#10736)

2024-12-10 18:23:24 +01:00

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

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tsembd.cuh

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unary.cu

RWKV v6: RWKV_WKV op CUDA implementation (#9454)

2024-09-22 04:29:12 +02:00

unary.cuh

RWKV v6: RWKV_WKV op CUDA implementation (#9454)

2024-09-22 04:29:12 +02:00

upscale.cu

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upscale.cuh

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vecdotq.cuh

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wkv6.cu

llama: add support for QRWKV6 model architecture (#11001)

2025-01-10 09:58:08 +08:00

wkv6.cuh

Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration (#10133)

2024-11-07 15:19:10 +08:00