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In NEQuantizeLayer for QASYMM8_SIGNED, the rounding was inconsistent
between the unrolled loop and the leftover loop, which meant identical
values (e.g. 0.5) at different indices of a Tensor could round to
different values (0 or 1 in this case). We have changed vcvtaq to
vcvtnq to round to the nearest, with ties to even. This matches the
default fegetround setting, so it is a sensible default.
Relates-to: COMPMID-6994
Signed-off-by: Jonathan Deakin <jonathan.deakin@arm.com>
Change-Id: I8e7ecb1b8dbdd3e887697a92046af99ed33fc78f
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11532
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.
Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/
There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.
Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
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Resolves: COMPMID-6312
Signed-off-by: ramy.elgammal@arm.com <ramy.elgammal@arm.com>
Change-Id: I9f68ccd2edb8c4d03fec19e6b9c29609d4833342
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9806
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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* This patch adds support for rounding modes in vmlaq_qasymm8_signed
which is used to compute Relu for quantized types
* Partially resolves MLCE-1018
Change-Id: I2a267b84745430e1ffe92b8bc79828a39332db18
Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9354
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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- LEAKY RELU activation is supported for QASYMM8 data type
- vquantize on NEON side has been modified to match with
other backends (OpenCL and reference)
Change-Id: I194631225c8d4f3cc96027d64812ec2be2b4328a
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4593
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I524b0c4b49c7a7035b7d078b9585d77b0d438e10
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4083
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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