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| author | Sheri Zhang <sheri.zhang@arm.com> | 2020-02-20 17:37:12 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-02-26 11:09:09 +0000 |
| commit | 0ef6032e4db7309e2a20fdd6e6e1bd9f0dad2f79 (patch) | |
| tree | e090a00098bbf405efa93261356587c8231dbb09 /arm_compute | |
| parent | ca4111d6eef00d244145e9b32e87fc101034527d (diff) | |
| download | armcl-0ef6032e4db7309e2a20fdd6e6e1bd9f0dad2f79.tar.gz armcl-0ef6032e4db7309e2a20fdd6e6e1bd9f0dad2f79.tar.bz2 armcl-0ef6032e4db7309e2a20fdd6e6e1bd9f0dad2f79.zip | |
COMPMID-2788: Add support for QASYMM8_SIGNED in CLDirectDeconvolutionLayer
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: If7fc27b074e1fe758cf1474c323f432a096c3abf
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2772
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h index f86618d14..76cd0fb0c 100644 --- a/arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h +++ b/arm_compute/runtime/CL/functions/CLDirectDeconvolutionLayer.h @@ -87,9 +87,11 @@ public: CLDirectDeconvolutionLayer &operator=(CLDirectDeconvolutionLayer &&) = default; /** Set the input, weights, biases and output tensors. * - * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8/F16/F32. + * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. + * Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32. * @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. - * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. + * @param[in] bias (Optional) The biases have one dimension. + * 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 output has the same number of dimensions as the @p input. * @param[in] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel. @@ -98,9 +100,11 @@ public: void configure(ICLTensor *input, ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &info, const WeightsInfo &weights_info = WeightsInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CLDirectDeconvolutionLayer * - * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8/F16/F32. + * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. + * Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32. * @param[in] weights The 4d weights info with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input. - * @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input. + * @param[in] bias (Optional) The biases have one dimension. + * 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 info. The output has the same number of dimensions as the @p input. * @param[in] info Contains padding and policies to be used in the deconvolution, this is decribed in @ref PadStrideInfo. * @param[in] weights_info (Optional) Weights information needed for @ref CLConvolutionLayer, specifies if the weights tensor has been reshaped with @ref CLWeightsReshapeKernel. |