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author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-07-04 09:34:00 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
commit | 7485d5a62685cb745ab50e970adb722cb71557ac (patch) | |
tree | ba01b99ca466c93edc9a3f8c1e34394ff84be060 /arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h | |
parent | 014333d73883c3872e458cedda5ccef586a7ccd4 (diff) | |
download | ComputeLibrary-7485d5a62685cb745ab50e970adb722cb71557ac.tar.gz |
COMPMID-970 : Remove QS8 / QS16 support
Removed fixed point related code.
Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h index ef00e59e5c..f2d37a781c 100644 --- a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h @@ -48,7 +48,7 @@ public: /** Set the input and output tensors. * * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], - * and an optional 4th dimension for batch of inputs. Data types supported: QS8/QS16/F16/F32. + * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input. * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. */ @@ -56,7 +56,7 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizationLayerKernel * * @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM], - * and an optional 4th dimension for batch of inputs. Data types supported: QS8/QS16/F16/F32. + * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. * @param[in] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input. * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters. * |