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NEON
Age
Commit message (
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Author
2023-10-02
Optimize CL and Neon Winograd tests
Gunes Bayir
2023-09-28
Revise clang-format configuration
Jakub Sujak
2023-09-28
Apply clang-format on repository
Felix Thomasmathibalan
2023-09-27
Implement tflite compliant reverse for CPU
Adnan AlSinan
2023-08-08
Add support for S64 output in NEArgMinMaxLayer
Pablo Marquez Tello
2023-07-28
Retain back-compatibility for arm_compute/core/Types.h
SiCong Li
2023-06-16
Add Fused Activation to OpenCL MatMul
Mohammed Suhail Munshi
2023-06-15
Break up arm_compute/core/Types.h a bit
Matthew Bentham
2023-06-09
Reorder destructor in src
David Svantesson
2023-05-10
Remove inclusion of NEReorderKernel header from NEReorderLayer
Ramy Elgammal
2023-05-05
Connect CLMatMul function to quantized kernels and resolve NE BatchMatMul int...
Jakub Sujak
2023-05-05
Make NECast::validate take args by const pointer
Matthew Bentham
2023-05-03
Guards to make NEReorder aarch64 only
David Svantesson
2023-04-28
Reorder added
David Svantesson
2023-04-28
Fix the gather layer indices check
Viet-Hoa Do
2023-04-13
Implement MatMul Function and Operator with Floating Point support for CPU
Mohammed Suhail Munshi
2023-03-30
Add cropping support to NEBatchToSpace
SiCong Li
2023-03-14
Add CropInfo to BatchToSpace reference and fixture
SiCong Li
2023-03-03
Add weights_info as optional input for NEDeconvolutionLayer
Annop Wongwathanarat
2023-02-01
Add new operator AddMulAdd for Neon™ backend for Float/Quantized types
Gunes Bayir
2023-02-01
Remove fixed format strides hack
Jonathan Deakin
2023-01-30
Skip upsampling for deconvolution when not needed
Annop Wongwathanarat
2023-01-20
Add enable_fast_math for NEDeconvolutionLayer
Annop Wongwathanarat
2023-01-18
Add broadcast batched matmul validation cases
SiCong Li
2022-12-21
Optimize MeanReduce by integer acc. and removing upfront dequant.
Omar Al Khatib
2022-09-16
Optimize Quantized/Integer Bilinear Scale for Neon™
Gunes Bayir
2022-08-03
[ONCPUML-968] Fixed format kernel support in additional APIs
Milos Puzovic
2022-07-26
Fix for inclusion of "arm_gemm" from src into "Types.h" from core
Ramy Elgammal
2022-07-19
[ONCPUML-951] Variable weight support for Convolution.
Francesco Petrogalli
2022-07-14
Integrate new winograd APIs from MLTech
ramelg01
2022-06-13
Add support for 2d and 3d indices for axis 1
Pablo Marquez Tello
2022-04-13
Add support for int8 CpuPool3d
Adnan AlSinan
2022-04-01
Add CPU Pool3d FP16/32 implementation
Adnan AlSinan
2022-03-29
NEQLSTM: Add support for QASYMM8_SIGNED for input_to_forget_weights
Pablo Marquez Tello
2022-02-14
Port MaxUnpoolingLayer kernel and add KernelSelect vaidation test
Dana Zlotnik
2022-02-09
Remove deprecated remap functions.
Adnan AlSinan
2021-12-25
Add tests for FP Cpu Pooling where pool region is completely outside the input
SiCongLi
2021-10-22
Add uint8/int8 support to cpu conv3d
Freddie Liardet
2021-10-18
DirectConv3d support refine
Sheri Zhang
2021-10-15
Conv3d support
Sheri Zhang
2021-09-03
List OpenCL kernels in Android.bp script
Michele Di Giorgio
2021-08-20
Rename [Cl|Cpu]GemmConvolution to [Cl|Gpu]GemmConv2d
Georgios Pinitas
2021-08-04
Remove 21.08 deprecated code
Freddie Liardet
2021-07-29
Port NEConvolutionLayer
Michalis Spyrou
2021-07-28
Reduce binary footprint of CpuConvertFullyConnectedWeightsKernel
Michele Di Giorgio
2021-07-23
Port NEFullyConnectedLayer to memory injecting interface
Michele Di Giorgio
2021-07-22
Expose fast_math mode for GEMM through BFloat16
Georgios Pinitas
2021-07-15
Port NEGEMMConvolutionLayer
Manuel Bottini
2021-07-13
Port NEWinogradConvolutionLayer
Michalis Spyrou
2021-07-09
Port NECol2ImKernel
Manuel Bottini
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