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| author | Gunes Bayir <gunes.bayir@arm.com> | 2022-09-11 15:59:19 +0100 |
|---|---|---|
| committer | Gunes Bayir <gunes.bayir@arm.com> | 2022-09-16 12:38:59 +0000 |
| commit | c4f2743951473f8d97f5a43767fdbb31a4df967c (patch) | |
| tree | 26c49b1af8113bb169931f3af5e502904d455a25 /src/cpu/kernels/CpuScaleKernel.h | |
| parent | 0d05b6690fe69c57f63ca43d59b551f074613062 (diff) | |
| download | ComputeLibrary-c4f2743951473f8d97f5a43767fdbb31a4df967c.tar.gz | |
Optimize Quantized/Integer Bilinear Scale for Neon™
This patch introduces several performance optimizations regarding the Bilinear Scale operator with REPLICATE Border mode. Changes apply only to NHWC.
This patch
- Reduces the memory footprint by disabling precomputation of indices and weights when they're not used
- Rewrites the kernels for QASYMM8/QASYMM8_SIGNED/U8(Uint8)
- Adds S8(Int8) Bilinear Scale for Border mode REPLICATE
- Removes Bilinear Scale SVE kernels for Quantized and Integer types and adjust the heuristics to choose the Neon™ implementation
- Adds new test cases where the input and output of the Bilinear Scale operator have different quantization scale and offset
Resolves: COMPMID-5453, COMPMID-5454
Change-Id: I3d251e76e0c6978fd5a0a1795ec62ab536bec93c
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8250
Reviewed-by: SiCong Li <sicong.li@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/cpu/kernels/CpuScaleKernel.h')
| -rw-r--r-- | src/cpu/kernels/CpuScaleKernel.h | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/src/cpu/kernels/CpuScaleKernel.h b/src/cpu/kernels/CpuScaleKernel.h index 416e115796..8102142fc3 100644 --- a/src/cpu/kernels/CpuScaleKernel.h +++ b/src/cpu/kernels/CpuScaleKernel.h @@ -50,8 +50,9 @@ public: * * @note dx, dy and offsets have the same dimensions (width and height) of the output tensor * @note Using @p policy Area only supports data layout NCHW and input data type U8. + * @note Using S8 data type only supports NHWC, @p border_mode Replicate, and @p policy Bilinear * - * @param[in] src Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/F32. + * @param[in] src Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S8/S16/F16/F32. * @param[in] dx Distance x tensor info. Pixel's distance between the X real coordinate and the smallest X following integer. Data type supported: F32 * @param[in] dy Distance y tensor info. Pixel's distance between the Y real coordinate and the smallest Y following integer. Data type supported: F32 * @param[in] offsets Offset tensor info. Offset to access the pixel with NEAREST interpolation or the top-left pixel with BILINEAR interpolation in the input tensor. Data type supported: S32. |