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author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2017-07-03 12:33:49 +0100 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
commit | 368da83fdd7406d629e8cca64f3eb0af05437419 (patch) | |
tree | fadac4142651cb0f86b997c06cbabb1bec622aae /arm_compute/core/CL | |
parent | adffa30de9292c96bf29ff0697ac573270046612 (diff) | |
download | ComputeLibrary-368da83fdd7406d629e8cca64f3eb0af05437419.tar.gz |
COMPMID-420, COMPMID-414 - Port CLConvolutionLayer and CLFullyConnectedLayer to use 8 bit fixed point
Change-Id: I1cb1b4d7711ad7b569ee691e13a5df1b3430292b
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79565
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/core/CL')
-rw-r--r-- | arm_compute/core/CL/kernels/CLCol2ImKernel.h | 2 | ||||
-rw-r--r-- | arm_compute/core/CL/kernels/CLIm2ColKernel.h | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLCol2ImKernel.h b/arm_compute/core/CL/kernels/CLCol2ImKernel.h index d391cac889..63b0b63f20 100644 --- a/arm_compute/core/CL/kernels/CLCol2ImKernel.h +++ b/arm_compute/core/CL/kernels/CLCol2ImKernel.h @@ -66,7 +66,7 @@ public: /** Set the input and output of the kernel. * - * @param[in] input The input tensor to convert. Data types supported: F16/F32 + * @param[in] input The input tensor to convert. Data types supported: QS8/F16/F32 * @param[out] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM], * while the rest represent batch of outputs. Data types supported: Same as @p input * @param[in] convolved_dims Output convolved dimensions. diff --git a/arm_compute/core/CL/kernels/CLIm2ColKernel.h b/arm_compute/core/CL/kernels/CLIm2ColKernel.h index b3b5cd8e80..e9f1a3f8e2 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: F16/F32 + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QS8/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). |