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review.mlplatform.org / ml / ComputeLibrary / 9f7aca97f41a1aa683141f14f19f605f122f7561 / src / cpu
  1. 8d4cdd4 BatchNorm changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 7 months ago
  2. 568aab6 CpuMul changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 8 months ago
  3. ded5b18 thread_local _custom_scheduler by David Svantesson · 11 months ago
  4. ba93371 NormalizationLayer changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 8 months ago
  5. d4650e9 Fix various coverity issues by SiCong Li · 8 months ago
  6. 24c140f Fix CpuGemmConv2d int8 segfault by SiCong Li · 8 months ago
  7. 01b0f9b Pooling changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 8 months ago
  8. 64f4a30 DepthwiseConvolution changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 8 months ago
  9. c5ab4df Optimize CpuGemmConv2d start-up time by SiCong Li · 9 months ago
  10. e5362e7 DirectConv and Im2Col changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 9 months ago
  11. 074b985 FuseBatchNorm changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 9 months ago
  12. d8a397e Fix build error in CpuScale by Pablo Marquez Tello · 9 months ago
  13. b5cb4d2 Scale changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 9 months ago
  14. 9aa153a Fix build error by Pablo Marquez Tello · 9 months ago
  15. 6777359 CpuSubKernel changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 9 months ago
  16. 68b6dce Pool2d changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 9 months ago
  17. a23b468 Optimize CLTranspose operator by Jakub Sujak · 9 months ago
  18. c2a51bd Optimize CL and Neon Winograd tests by Gunes Bayir · 9 months ago
  19. afd38f0 Apply clang-format on repository by Felix Thomasmathibalan · 9 months ago
  20. 0392160 Re-arrange header inclusion order by Felix Thomasmathibalan · 9 months ago
  21. 6d87887 Select changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 9 months ago
  22. 6b6ba9e Maxunpooling changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 9 months ago
  23. e9fd8b4 L2Norm changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  24. f57d6ec Gemm changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  25. e071b5e Fix the validation issue in AddMulAdd fused kernel by Gunes Bayir · 10 months ago
  26. 40a9d3e Remove deprecated support for BF16 in CpuCast by Adnan AlSinan · 10 months ago
  27. 2ffc85e GenerateProposals changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  28. 7e58980 Fuse batch normalization changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  29. c071328 Fix include dependencies for mass reformatting patch by Gunes Bayir · 10 months ago
  30. 7ce8a83 Softmax changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  31. 145e82e Changes to InstanceNrom to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  32. cf219a4 Changes in NECropResize to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  33. 3912f47 Meanstddevnorm changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  34. 45e5b5a Changes to BoundingBoxTransform to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  35. ea9bd8f Changes to ElementwiseOp to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  36. 0d27b2e Remove legacy PostOps code by Jakub Sujak · 10 months ago
  37. 7ff03b6 DWC changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  38. 324ba7a Pool3d changes to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  39. 8770669 Changes in roi_align to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 10 months ago
  40. cea7060 NEFuseBatchNormalizationKernel rework by Pablo Marquez Tello · 11 months ago
  41. 3a9ecdf CpuAdd rework to enable fp16 in armv8a multi_isa builds by Pablo Marquez Tello · 11 months ago
  42. 082630b Update CpuGemmConv2d and CpuFlatten to use CpuReshape operator by Anitha Raj · 11 months ago
  43. eb5696d Optimize CpuReshapeKernel by Anitha Raj · 12 months ago
  44. 580ecd7 Fix depthwise convolution not using assembly kernel by Viet-Hoa Do · 11 months ago
  45. 246fe08 Fix various static check issues by Viet-Hoa Do · 11 months ago
  46. 29e27b0 Add support for S64 output in NEArgMinMaxLayer by Pablo Marquez Tello · 11 months ago
  47. 78ce273 Document the Conv2D heuristic by Gian Marco Iodice · 11 months ago
  48. 9129549 Retain back-compatibility for arm_compute/core/Types.h by SiCong Li · 12 months ago
  49. 4a1c917 Add support for input S64/U64 in CpuCastKernel by Pablo Marquez Tello · 12 months ago
  50. 314d3e2 Break up core/Utils.h to reduce unused code being included everywhere by Matthew Bentham · 1 year ago
  51. 1d06204 Do not include headers necessary for logging when logging is disabled by Matthew Bentham · 12 months ago
  52. 8deee9b Depthwise channel pre-multiplication by Michael Tyler · 1 year ago
  53. 7d9a78e Remove dependency on fp16 definitions from some core include files by Matthew Bentham · 1 year, 1 month ago
  54. 47a50ef Address the issues with the ACL coverage pipeline failures related to matmul. by Renato Arantes · 1 year, 1 month ago
  55. 8eb82d2 Fix CPU depthwise convolution in case of large padding by Viet-Hoa Do · 1 year ago
  56. 94abde4 Add Fused Activation to OpenCL MatMul by Mohammed Suhail Munshi · 1 year, 1 month ago
  57. 043613f Break up Utils.h a bit to reduce unused code being included everywhere by Matthew Bentham · 1 year, 1 month ago
  58. f1aeab9 Break up arm_compute/core/Types.h a bit by Matthew Bentham · 1 year, 1 month ago
  59. 48cfd5f Refactor activation LUT computation by Pablo Marquez Tello · 1 year, 1 month ago
  60. 48c0ed9 Fix ScaleKernel validate method. by Pablo Marquez Tello · 1 year, 2 months ago
  61. c0463a2 Move lut kernel to sve2 category by SiCong Li · 1 year, 2 months ago
  62. a8db612 Re-enable dyanmic weights in Neon™ depthwise convolution by Ramy Elgammal · 1 year, 2 months ago
  63. e9b3ee2 Connect CLMatMul function to quantized kernels and resolve NE BatchMatMul int_8 failures by Jakub Sujak · 1 year, 3 months ago
  64. edafe7f Disable dynamic weights in unsupported operators by Viet-Hoa Do · 1 year, 2 months ago
  65. 5713294 Fix im2col for fast-maths mode with padding. by Renato Arantes · 1 year, 2 months ago
  66. 54e52a9 Fix CPU MatMul broadcast detection by Viet-Hoa Do · 1 year, 2 months ago
  67. a62129a Fix fully connected and matmul mismatches by Viet-Hoa Do · 1 year, 2 months ago
  68. dba672c Integrate multi-threaded pretranspose_B_array by SiCong Li · 1 year, 3 months ago
  69. a07c01b NETranspose 8x8 kernel for 32-bit elements by Ethan Doe · 1 year, 3 months ago
  70. 9c7c2d2 Add quantized support for CPU MatMul by Viet-Hoa Do · 1 year, 3 months ago
  71. b84df20 Fix unhandled case in ElementwiseUnary by Ramy Elgammal · 1 year, 3 months ago
  72. 9b0a6b4 Fix dynamic weights for CPU connected layer by Viet-Hoa Do · 1 year, 3 months ago
  73. a1b1e41 Implement MatMul Function and Operator with Floating Point support for CPU by Mohammed Suhail Munshi · 1 year, 3 months ago
  74. 8b7f42a Enable quantized data types for CpuElementwiseUnary on Armv7a by Ramy Elgammal · 1 year, 3 months ago
  75. 732c1b2 Fix GCC13 compiler errors by Pablo Marquez Tello · 1 year, 3 months ago
  76. fd472f0 Add quantized support for unary elementwise in CPU by Viet-Hoa Do · 1 year, 4 months ago
  77. 20cfa45 Round to nearest with ties to away from zero in Relu by Pablo Marquez Tello · 1 year, 4 months ago
  78. a3e57c2 Add dynamic weights for CPU fully connected layer by Viet-Hoa Do · 1 year, 4 months ago
  79. 0ffc88b [ONCPUML-1174] Allow src/weights mismatch for fixed format by Jonathan Deakin · 1 year, 4 months ago
  80. 1fe48ca NEGEMMLowpMatrixMultiplyCore should be configured for optimized int8 kernel. by Ethan Doe · 1 year, 4 months ago
  81. bbf2e74 Add support for kernel indices in Maxpool by Adnan AlSinan · 1 year, 4 months ago
  82. 227db8d Add an option to use lowest for max-pooling by Adnan AlSinan · 1 year, 5 months ago
  83. 7d9a626 Update CPU kernels to remove x19 and w19 by Michael Tyler · 1 year, 5 months ago
  84. 4e2bbbb Add support for dilation > 1 in assembly DepthwiseConvolution by Pablo Marquez Tello · 1 year, 6 months ago
  85. fbe94da Fix armv7a failing GEMMConvolutionLayer tests by Mohammed Suhail Munshi · 1 year, 5 months ago
  86. 5b9d223 Fix GEMMLowp/Batched MatMul mismatches on CPU by Mohammed Suhail Munshi · 1 year, 5 months ago
  87. ae72a46 Add new operator AddMulAdd for Neon™ backend for Float/Quantized types by Gunes Bayir · 1 year, 5 months ago
  88. 464ed20 Remove fixed format strides hack by Jonathan Deakin · 1 year, 6 months ago
  89. 1b6377b Add broadcast batched matmul validation cases by SiCong Li · 1 year, 6 months ago
  90. be13cea Revert "Update CPU kernels to remove x19" by Michael Tyler · 1 year, 6 months ago
  91. ba20975 Update CPU kernels to remove x19 by Michael Tyler · 1 year, 7 months ago
  92. 6bcdc57 Deprecated BF16 support in DepthConvert by Pablo Marquez Tello · 1 year, 6 months ago
  93. 939b21a Use CPU quantized addition kernel for quantized subtraction by Omar Al Khatib · 1 year, 7 months ago
  94. 9d7b690 Fixed various mismatches in CpuCastKernel by Pablo Marquez Tello · 1 year, 7 months ago
  95. f16973b Fix build error for unused variables in data type specific builds by Gunes Bayir · 1 year, 7 months ago
  96. e112ef1 ONCPUML-1072: Remove double definition of get_mws for Mul kernel by fadara01 · 1 year, 7 months ago
  97. 73bb6b7 ONCPUML-1072: Tuned MWS values (for N1, V1) for binary operators used by oneDNN by Fadi Arafeh · 1 year, 9 months ago
  98. 8307ecf Fix regression caused by mws in ActivationLayer by Mohammed Suhail Munshi · 1 year, 8 months ago
  99. b230a1f Fixed Arm NN unit test failure caused by quantised multiplication patch. by Omar Al Khatib · 1 year, 8 months ago
  100. d4a9cc0 Fix CPU multiplication layer threading overhead by Viet-Hoa Do · 1 year, 8 months ago