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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/CLIm2ColKernel.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/CLIm2ColKernel.h')
-rw-r--r-- | arm_compute/core/CL/kernels/CLIm2ColKernel.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/core/CL/kernels/CLIm2ColKernel.h b/arm_compute/core/CL/kernels/CLIm2ColKernel.h index 7e119a32a8..fc930abcbe 100644 --- a/arm_compute/core/CL/kernels/CLIm2ColKernel.h +++ b/arm_compute/core/CL/kernels/CLIm2ColKernel.h @@ -69,7 +69,7 @@ public: /** Set the input and output of the kernel. * * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QASYMM8/QS16/F16/F32 + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32 * @param[out] output The output tensor. First 2 lower dimensions represent a transform of each 3D input, * while every dimension above represents a batch. Data types supported: Same as @p input * @param[in] kernel_dims The kernel dimensions (width and height). @@ -81,7 +81,7 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLIm2ColKernel * * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QASYMM8/QS16/F16/F32 + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32 * @param[in] output The output tensor. First 2 lower dimensions represent a transform of each 3D input, * while every dimension above represents a batch. Data types supported: Same as @p input * @param[in] kernel_dims The kernel dimensions (width and height). @@ -113,7 +113,7 @@ private: /** Chooses and configure the right kernel for the given input arguments. * * @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/QASYMM8/QS16/F16/F32 + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32 * @param[in] output The output tensor. First 2 lower dimensions represent a transform of each 3D input, * while every dimension above represents a batch. Data types supported: Same as @p input * @param[in] kernel_dims The kernel dimensions (width and height). |