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authorManuel Bottini <manuel.bottini@arm.com>2021-03-10 09:55:14 +0000
committerManuel Bottini <manuel.bottini@arm.com>2021-03-11 10:29:12 +0000
commit00f4dfce66c0e1cb820b443f111b7c01846d4d5b (patch)
treea80845d4af6582afc8a1340ff1cfc835986112b0 /docs/00_introduction.dox
parent1ffa5ac9459865436a3a0ec36480f92ac02f4013 (diff)
downloadComputeLibrary-00f4dfce66c0e1cb820b443f111b7c01846d4d5b.tar.gz
Port Arm(R) Neon(TM) Dequantization to new API
Partially resolves: COMPMID-4193 Change-Id: Icf9afdd009f7fd03ccfff3da47ca8f8cc87e2d3a Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5245 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
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diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox
index 68c64be53f..5912383e7c 100644
--- a/docs/00_introduction.dox
+++ b/docs/00_introduction.dox
@@ -1296,7 +1296,7 @@ v17.09 Public major release
- Most machine learning functions support both fixed point 8 and 16 bit (QS8, QS16) for both Neon and OpenCL.
- New Neon kernels / functions:
- arm_compute::NEGEMMAssemblyBaseKernel arm_compute::NEGEMMAArch64Kernel
- - @ref NEDequantizationLayerKernel / @ref NEDequantizationLayer
+ - NEDequantizationLayerKernel / @ref NEDequantizationLayer
- NEFloorKernel / @ref NEFloor
- @ref NEL2NormalizeLayerKernel / @ref NEL2NormalizeLayer
- NEQuantizationLayerKernel @ref NEMinMaxLayerKernel / @ref NEQuantizationLayer