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Author
2023-08-23
Update CpuGemmConv2d and CpuFlatten to use CpuReshape operator
Anitha Raj
2023-08-22
Optimize CpuReshapeKernel
Anitha Raj
2023-08-17
Fix various static check issues
Viet-Hoa Do
2023-08-07
Document the Conv2D heuristic
Gian Marco Iodice
2023-07-28
Retain back-compatibility for arm_compute/core/Types.h
SiCong Li
2023-07-19
Add support for input S64/U64 in CpuCastKernel
Pablo Marquez Tello
2023-07-10
Do not include headers necessary for logging when logging is disabled
Matthew Bentham
2023-07-04
Depthwise channel pre-multiplication
Michael Tyler
2023-06-23
Address the issues with the ACL coverage pipeline failures related to matmul.
Renato Arantes
2023-06-16
Add Fused Activation to OpenCL MatMul
Mohammed Suhail Munshi
2023-06-15
Break up Utils.h a bit to reduce unused code being included everywhere
Matthew Bentham
2023-06-15
Break up arm_compute/core/Types.h a bit
Matthew Bentham
2023-05-10
Re-enable dyanmic weights in Neon™ depthwise convolution
Ramy Elgammal
2023-05-05
Connect CLMatMul function to quantized kernels and resolve NE BatchMatMul int...
Jakub Sujak
2023-05-05
Disable dynamic weights in unsupported operators
Viet-Hoa Do
2023-05-03
Fix im2col for fast-maths mode with padding.
Renato Arantes
2023-05-03
Fix CPU MatMul broadcast detection
Viet-Hoa Do
2023-05-02
Fix fully connected and matmul mismatches
Viet-Hoa Do
2023-04-26
Integrate multi-threaded pretranspose_B_array
SiCong Li
2023-04-19
Add quantized support for CPU MatMul
Viet-Hoa Do
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
2023-03-21
Add dynamic weights for CPU fully connected layer
Viet-Hoa Do
2023-03-13
[ONCPUML-1174] Allow src/weights mismatch for fixed format
Jonathan Deakin
2023-03-03
NEGEMMLowpMatrixMultiplyCore should be configured for optimized int8 kernel.
Ethan Doe
2023-03-01
Add support for kernel indices in Maxpool
Adnan AlSinan
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
2023-01-18
Add broadcast batched matmul validation cases
SiCong Li
2023-01-11
Deprecated BF16 support in DepthConvert
Pablo Marquez Tello
2022-11-01
Updateable weights in depthwise convolution
Milos Puzovic
2022-11-01
Add check for Batch Matmul in GemmAssemblyDispatch
Mohammed Suhail Munshi
2022-10-20
Update reinterpret tensor as 1D for CPU add
Viet-Hoa Do
2022-10-12
Optimize Neon™ Logistic Activation
Mohammed Suhail Munshi
2022-10-12
Adding documentation section explaining how BF16 is used
Ramy Elgammal
2022-10-07
Optimize Neon™ SUB operator by squashing execution window
Jakub Sujak
2022-09-16
Optimize Quantized/Integer Bilinear Scale for Neon™
Gunes Bayir
2022-09-14
Interpreting tensor as 1D for CPU multiplication
Viet-Hoa Do
2022-09-12
Add test for NEGEMM to test a batched matrix multiplication with variable inp...
Adnan AlSinan
2022-09-09
Optimize FP32/16 Bilinear Scale Kernel for Neon™
Gunes Bayir
2022-09-08
Disable Winograd on fp16 if fast-math = false
Ramy Elgammal
2022-08-08
Fix for AI benchmark ResNet regression
Viet-Hoa Do
2022-08-04
[ONCPUML-970] Fast math mode for fixed format kernels
Pablo Marquez Tello
2022-08-03
[ONCPUML-968] Fixed format kernel support in additional APIs
Milos Puzovic
2022-08-01
Optimize add layer by considering the input tensors as 1D array
Gunes Bayir
2022-07-27
Fix compilation error rasied in Nightly_NEW
Ramy Elgammal
2022-07-26
Fix for inclusion of "arm_gemm" from src into "Types.h" from core
Ramy Elgammal
2022-07-25
Enable march=armv8.6-a in non multi-isa builds
Pablo Marquez Tello
2022-07-19
[ONCPUML-951] Variable weight support for Convolution.
Francesco Petrogalli
2022-07-14
Integrate new winograd APIs from MLTech
ramelg01
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