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review.mlplatform.org / ml / ComputeLibrary / a7077e9b8cc2d93a84249ee665776d09963e08a0 / tests / validation / NEON
  1. a7077e9 Updateable weights in depthwise convolution by Milos Puzovic · 1 year, 9 months ago
  2. 9fc0b5c Update reinterpret tensor as 1D for CPU add by Viet-Hoa Do · 1 year, 9 months ago
  3. 6782452 Add test in GEMMLowp for batch matmul by Mohammed Suhail Munshi · 1 year, 9 months ago
  4. 304dfdb Fix Batch Matmul nightly failure by Adnan AlSinan · 1 year, 10 months ago
  5. 40b4419 Optimize CPU add layer on quantized data by Viet-Hoa Do · 1 year, 10 months ago
  6. d6b8a71 Add FP32 Neon™ swish activation by Jonathan Deakin · 1 year, 11 months ago
  7. c4f2743 Optimize Quantized/Integer Bilinear Scale for Neon™ by Gunes Bayir · 1 year, 10 months ago
  8. 926f502 Adding GELU activation by Murray Kornelsen · 2 years ago
  9. 6e09e14 INT8 Quantized MeanStdDevNorm (LayerNorm) by Murray Kornelsen · 2 years ago
  10. a4814e8 Add test case for disable Winograd on fp16 if fast-math = false by Ramy Elgammal · 1 year, 10 months ago
  11. 26c9d1a Add test for NEGEMM to test a batched matrix multiplication with variable input tensors by Adnan AlSinan · 1 year, 10 months ago
  12. 93581a5 [ONCPUML-970] Fast math mode for fixed format kernels by Pablo Marquez Tello · 2 years ago
  13. 9b921be Optimize add layer by considering the input tensors as 1D array by Gunes Bayir · 2 years ago
  14. 9178002 Fix for inclusion of "arm_gemm" from src into "Types.h" from core by Ramy Elgammal · 2 years ago
  15. d208f4f Enable march=armv8.6-a in non multi-isa builds by Pablo Marquez Tello · 2 years ago
  16. 553f695 [ONCPUML-951] Variable weight support for Convolution. by Francesco Petrogalli · 2 years ago
  17. 29cab36 Fixed clang-cl errors on Windows native builds. by Pablo Tello · 2 years, 4 months ago
  18. 894659a Add support for 2d and 3d indices for axis 1 by Pablo Marquez Tello · 2 years, 2 months ago
  19. d75cd8a Compute Hard-Swish with a Lookup table for qasymm8. by Pablo Marquez Tello · 2 years, 2 months ago
  20. dc4f276 Revert "Add support for 2d and 3d indices for axis 0" by Mohammed Suhail Munshi · 2 years, 2 months ago
  21. 920f2b6 Add support for 2d and 3d indices for axis 0 by Pablo Marquez Tello · 2 years, 2 months ago
  22. f55cca5 Add LU_BOUNDED_RELU support for QSYMM16 by Pablo Marquez Tello · 2 years, 3 months ago
  23. 9104cd5 Add support for int8 CpuPool3d by Adnan AlSinan · 2 years, 3 months ago
  24. 4c17ba9 Fix Nightly build failure by Adnan AlSinan · 2 years, 3 months ago
  25. 171fc3d Add CPU Pool3d FP16/32 implementation by Adnan AlSinan · 2 years, 4 months ago
  26. 298b2c0 Decouple castKernel by Yair Schwarzbaum · 2 years, 5 months ago
  27. c9e519d Decouple CpuDirectConv2dKernel by alerah01 · 2 years, 5 months ago
  28. ebbae94 Decouple CpuDepthwiseConv2dNativeKernel by Dana Zlotnik · 2 years, 5 months ago
  29. 256ac62 Decouple CpuGemmMatrixMultiplyKernel and CpuGemmMatrixAdditionKernel by Dana Zlotnik · 2 years, 5 months ago
  30. 149203b Port MaxUnpoolingLayer kernel and add KernelSelect vaidation test by Dana Zlotnik · 2 years, 6 months ago
  31. 6a2df88 Add kernel selection UT for submitted kernels by Dana Zlotnik · 2 years, 6 months ago
  32. 6863fa0 Remove deprecated remap functions. by Adnan AlSinan · 2 years, 5 months ago
  33. 0ef2c21 Remove padding from CpuDirectConv2dKernel by Adnan AlSinan · 2 years, 6 months ago
  34. 5ae8d80 Enable kernel selection testing (Phase #1) by Giorgio Arena · 2 years, 8 months ago
  35. c4270cf Add tests for FP Cpu Pooling where pool region is completely outside the input by SiCongLi · 2 years, 7 months ago
  36. 4d44ac8 Added support for filter size 8x8 NCHW DirectConv by Pablo Marquez Tello · 2 years, 7 months ago
  37. 8b9ce8c Increase FP16 tolerance for BatchNormalizationLayer by Freddie Liardet · 2 years, 8 months ago
  38. 69df64f Improve conv3d validation by Freddie Liardet · 2 years, 9 months ago
  39. f727ef4 Add uint8/int8 support to cpu conv3d by Freddie Liardet · 2 years, 9 months ago
  40. 841c3e9 Fix unused variable issue by Sheri Zhang · 2 years, 9 months ago
  41. 6d9c982 Conv3d support by Sheri Zhang · 2 years, 10 months ago
  42. ded3663 Remove padding in cpuPool2d NCHW by Freddie Liardet · 2 years, 10 months ago
  43. 8b8405a Optimize CpuScale NHWC F32/F16 by Gian Marco Iodice · 2 years, 9 months ago
  44. 63e0beb Add support for non-constant weights and biases in CpuFullyConnected by Giorgio Arena · 2 years, 10 months ago
  45. 9ac7b99 Revert "Add support for non-constant weights and biases in CpuFullyConnected" by Pablo Marquez Tello · 2 years, 10 months ago
  46. aed63ee Add support for non-constant weights and biases in CpuFullyConnected by Michele Di Giorgio · 3 years ago
  47. 9dc558f Review all shapes in datasets to account for padding removal Part 1 by Gian Marco Iodice · 3 years, 8 months ago
  48. 7891a73 Move CPU/GPU files from Core/Runtime to the respective backend folders by Georgios Pinitas · 2 years, 11 months ago
  49. 1988463 Rename [Cl|Cpu]GemmConvolution to [Cl|Gpu]GemmConv2d by Georgios Pinitas · 2 years, 11 months ago
  50. 37a4611 Add test for validating batched-GEMM on CPU by Gian Marco Iodice · 3 years ago
  51. 4164814 Implement Operator API by Georgios Pinitas · 3 years ago
  52. a0efe69 Reintroduce implementation of NEConvolutionLayer::get_convolution_method by Michele Di Giorgio · 3 years ago
  53. b55f8e8 Port NEConvolutionLayer by Michalis Spyrou · 3 years ago
  54. d9cdf14 Port NEFullyConnectedLayer to memory injecting interface by Michele Di Giorgio · 3 years ago
  55. 29599d0 Port NEGEMMConvolutionLayer by Manuel Bottini · 3 years ago
  56. e5d76e1 Increase tolerance for NEMeanStdDevNormalization by Georgios Pinitas · 3 years ago
  57. a387e27 Add in-place calculation support for CL elementwise arithmetic kernels by Sheri Zhang · 3 years ago
  58. 96f977e Port NEWinogradConvolutionLayer by Michalis Spyrou · 3 years ago
  59. 24b8920 Port NECol2ImKernel by Manuel Bottini · 3 years ago
  60. da81675 Remove redundant implementations of Add/Sub operators by Georgios Pinitas · 3 years ago
  61. cfac51c Port NEGEMMLowp Part 2 by Manuel Bottini · 3 years, 1 month ago
  62. 9002899 Port NEIm2ColKernel by Manuel Bottini · 3 years ago
  63. 4dfc553 Port NEGEMM to memory injecting interface (Part 3) by Michele Di Giorgio · 3 years ago
  64. 53832b2 Port NEGEMM to memory injecting interface (Part 2) by Michele Di Giorgio · 3 years, 1 month ago
  65. 93b75e0 Port NEGEMM to memory injecting interface (Part 1) by Michele Di Giorgio · 3 years, 1 month ago
  66. d7316eb Port NEGEMMConv2d to memory injecting interface by Michele Di Giorgio · 3 years, 1 month ago
  67. ae58bdf Port NEGEMMLowp Part 1 by Manuel Bottini · 3 years, 1 month ago
  68. 90805b8 Fixed DirectConvolutionLayer validation tests by Pablo Marquez Tello · 3 years, 1 month ago
  69. ee301b3 Fix errata in documentation by Jakub Sujak · 3 years, 1 month ago
  70. 8ae3cda Revert "Implement memory injection in CpuDirectGemmConv2d" by Michele Di Giorgio · 3 years, 1 month ago
  71. bdcdc39 Enable fat binary support by Georgios Pinitas · 3 years, 3 months ago
  72. b4bb6a0 Rename ported functions by Manuel Bottini · 3 years, 2 months ago
  73. b3be457 Implement memory injection in CpuDirectGemmConv2d by Sang-Hoon Park · 3 years, 2 months ago
  74. 11d8415 Port DepthConvert to new Api by Georgios Pinitas · 3 years, 2 months ago
  75. ed4b8a0 Fix MeanStdDevNormalizationLayer reference outputting nan for FP16 by Giorgio Arena · 3 years, 2 months ago
  76. afcbb8f Fix Pooling Layer Bug when input is 1xN size by Freddie Liardet · 3 years, 2 months ago
  77. b065437 NEON/RoiAlign/Quantized/QASYMM8_SIGNED mismatches by Manuel Bottini · 3 years, 2 months ago
  78. 4fc10b3 Turn EXPECT into ASSERT when testing invalid conditions by Michele Di Giorgio · 3 years, 2 months ago
  79. e5df1d5 [Nightly #1144] NEON/DepthwiseConvolutionLayer/Float/F16/Optimized mismatch on S10 by Manuel Bottini · 3 years, 2 months ago
  80. 223aba9 Remove stale/solved TODOs by Michele Di Giorgio · 3 years, 2 months ago
  81. e92b045 Add per-channel quantization support for CLDeconvolutionLayer by Freddie Liardet · 3 years, 3 months ago
  82. 60c3b0e Port DepthwiseConvolution to new API by Michalis Spyrou · 3 years, 3 months ago
  83. fe56edb Add padding consideration to pooling index computation by Sang-Hoon Park · 3 years, 3 months ago
  84. 63825e8 Implicit padding testing along the X axis on high priority operators by Giorgio Arena · 3 years, 4 months ago
  85. 9d061b0 Add per channel quantization support for NEDeconvolutionLayer by Freddie Liardet · 3 years, 3 months ago
  86. ca62c6f Mixed data-layout testing on high priority operators by Manuel Bottini · 3 years, 4 months ago
  87. 33f41fa Fix trademarks throughout the codebase by Michele Di Giorgio · 3 years, 4 months ago
  88. 97e2580 Check biases pointer before referencing in CLDirectConvolutionLayer by Michele Di Giorgio · 3 years, 4 months ago
  89. ab84088 Added Qasymm8 datatype support to NEROIPoolingLayer with Tests by Suhail Munshi · 3 years, 5 months ago
  90. 10b3826 Port Arm(R) Neon(TM) Scale to new API by Manuel Bottini · 3 years, 5 months ago
  91. 668ccdc Add dynamic tensor support to CpuElementwise by Sang-Hoon Park · 3 years, 5 months ago
  92. 473cb01 Remove Compute Vision CL support by Michalis Spyrou · 3 years, 5 months ago
  93. 68e29da Set up configure-only flag for validation. First trial with DepthwiseConvoltion by Giorgio Arena · 3 years, 5 months ago
  94. 27e67f0 Remove Compute Vision Neon support by Michalis Spyrou · 3 years, 5 months ago
  95. ac6499a Comply with Trademark rules for use of Neon, Arm and Mali by Sheri Zhang · 3 years, 5 months ago
  96. 8876204 Fix tolerance for NEReduceMean on aarch64 by Giorgio Arena · 3 years, 5 months ago
  97. afc9c3d Fix tolerance for NEON RNNLayer by Manuel Bottini · 3 years, 5 months ago
  98. 8b555e3 Fix tolerance for NEON RNNLayer by Manuel Bottini · 3 years, 5 months ago
  99. d556d7b Integrate improved pooling layer on NEON by Michele Di Giorgio · 3 years, 9 months ago
  100. 7e5a865 Add tolerance for quantized activations computed in float by Michele Di Giorgio · 3 years, 6 months ago