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| author | Sheri Zhang <sheri.zhang@arm.com> | 2020-02-20 11:23:08 +0000 |
|---|---|---|
| committer | Sheri Zhang <sheri.zhang@arm.com> | 2020-02-21 17:07:07 +0000 |
| commit | 681f2d4263c5e762ea4c7b3d0ba7a087823d36fc (patch) | |
| tree | 0461e6efd4f0860cefb3201a01a5bcca9648baca /arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h | |
| parent | d239053e03e93f0f7a0e7e3dc941d9b9b2eeff52 (diff) | |
| download | ComputeLibrary-681f2d4263c5e762ea4c7b3d0ba7a087823d36fc.tar.gz | |
COMPMID-2758: Add support for QASYMM8_SIGNED in CLDirectConvolutionLayer
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: I0c153f7d880005aeced38cc64b7571578a5ea7f3
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2753
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h | 9 |
1 files changed, 5 insertions, 4 deletions
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h index b37d3a4047..5bf9a5d57f 100644 --- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h @@ -57,12 +57,12 @@ public: * 9x9 convolution with stride_x = 1/2, stride_y = 1/2, data_layout=NHWC * * @param[in] input The input tensor to convolve. 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: QASYMM8/F16/F32. + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32. * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. * The 3rd dimension must be the same as the input's volume 3rd dimension. * Data type supported:Same as @p input. * @param[in] biases Biases tensor. Biases are 1D tensor with dimension [OFM]. - * Data type supported: Should match @p input data type, except for input of QASYMM8 type where biases should be of S32 type + * Data type supported: Should match @p input data type, except for input of QASYMM8 and QASYMM8_SIGNED type where biases should be of S32 type * @param[out] output Output tensor. * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input. * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. @@ -71,11 +71,12 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLDirectConvolutionLayerKernel * * @param[in] input The input tensor to convolve. 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: QASYMM8/F16/F32. + * while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32. * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. * The 3rd dimension must be the same as the input's volume 3rd dimension. * Data type supported:Same as @p input. - * @param[in] biases Biases tensor. Biases are 1D tensor with dimension [OFM]. Data type supported: Same as @p input. + * @param[in] biases Biases tensor. Biases are 1D tensor with dimension [OFM]. + * Data type supported: Should match @p input data type, except for input of QASYMM8 and QASYMM8_SIGNED type where biases should be of S32 type. * @param[in] output Output tensor. * The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input. * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |