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NEON
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2023-05-11
Remove check for bias in CPU Depthwise Convolution
Jakub Sujak
2023-05-10
Remove inclusion of NEReorderKernel header from NEReorderLayer
Ramy Elgammal
2023-05-10
Re-enable dyanmic weights in Neon™ depthwise convolution
Ramy Elgammal
2023-05-05
Disable dynamic weights in unsupported operators
Viet-Hoa Do
2023-05-05
Make NECast::validate take args by const pointer
Matthew Bentham
2023-05-03
Guards to make NEReorder aarch64 only
David Svantesson
2023-05-01
Add Reorder to changelog
David Svantesson
2023-04-28
Reorder added
David Svantesson
2023-04-14
Fix dynamic weights for CPU connected layer
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
2023-03-21
Add dynamic weights for CPU fully connected layer
Viet-Hoa Do
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
2023-02-14
Extend skip upsampling for deconvolution for non-1x1 kernels
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
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
2022-09-09
Optimize FP32/16 Bilinear Scale Kernel 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
2022-05-06
QLSTM add support for different qinfo
Mike Kelly
2022-04-21
NEQLSTM: perform type conversion in prepare method.
Pablo Marquez Tello
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
2022-03-24
QLSTM add support for different qinfo in weights
Pablo Marquez Tello
2022-02-16
Fixed threshould argument order in NE/CL/LSTM
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
2021-11-15
Initialise quantization info in NEPadLayer
Pablo Marquez Tello
2021-10-18
DirectConv3d support refine
Sheri Zhang
2021-10-15
Conv3d support
Sheri Zhang
2021-10-04
Provide logging for configure functions in all CPP functions
ramelg01
2021-09-22
Provide logging for configure functions in all NEON functions
ramelg01
2021-08-25
Move CPU/GPU files from Core/Runtime to the respective backend folders
Georgios Pinitas
2021-08-20
Rename [Cl|Cpu]GemmConvolution to [Cl|Gpu]GemmConv2d
Georgios Pinitas
2021-08-19
Address comments on avoiding releasing weights if used by multiple functions
Giorgio Arena
2021-08-13
Avoid releasing weights if they are used by multiple functions
Georgios Pinitas
2021-08-13
Ensure correct transformed matrices are used in CpuGemmConvolution
Georgios Pinitas
2021-08-12
Ensure that correct transformed matrices are used in CpuFullyConnected
Georgios Pinitas
2021-07-30
Reintroduce implementation of NEConvolutionLayer::get_convolution_method
Michele Di Giorgio
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
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