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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-07-05 17:02:25 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
| commit | ac4e873dad6aa6291fc36aff62047a896db04f6a (patch) | |
| tree | 2c5397c6c04b97cedb88ff809f5d40cbe7dc79c9 /arm_compute/core/CL | |
| parent | df24618b53cffed1c574e11e9fd4ba7740f8c009 (diff) | |
| download | ComputeLibrary-ac4e873dad6aa6291fc36aff62047a896db04f6a.tar.gz | |
COMPMID-417: Port DepthConcatenate to QS8/QS16 for NEON/CL.
Change-Id: I3dddae63043c7aa18d908a4fc8abacf3c64f98ca
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80081
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Steven Niu <steven.niu@arm.com>
Diffstat (limited to 'arm_compute/core/CL')
| -rw-r--r-- | arm_compute/core/CL/CLHelpers.h | 8 | ||||
| -rw-r--r-- | arm_compute/core/CL/kernels/CLDepthConcatenateKernel.h | 4 |
2 files changed, 10 insertions, 2 deletions
diff --git a/arm_compute/core/CL/CLHelpers.h b/arm_compute/core/CL/CLHelpers.h index 01980d9793..eeb3e7699d 100644 --- a/arm_compute/core/CL/CLHelpers.h +++ b/arm_compute/core/CL/CLHelpers.h @@ -53,6 +53,14 @@ static constexpr const unsigned int max_cl_vector_width = 16; */ std::string get_cl_type_from_data_type(const DataType &dt); +/** Translates fixed point tensor data type to the underlying OpenCL type. + * + * @param[in] dt @ref DataType to be translated to OpenCL type. + * + * @return The string specifying the underlying OpenCL type to be used. + */ +std::string get_underlying_cl_type_from_data_type(const DataType &dt); + /** Translates a given gpu device target to string. * * @param[in] target Given gpu target. diff --git a/arm_compute/core/CL/kernels/CLDepthConcatenateKernel.h b/arm_compute/core/CL/kernels/CLDepthConcatenateKernel.h index eda4c66883..e85e0ec232 100644 --- a/arm_compute/core/CL/kernels/CLDepthConcatenateKernel.h +++ b/arm_compute/core/CL/kernels/CLDepthConcatenateKernel.h @@ -52,9 +52,9 @@ public: ~CLDepthConcatenateKernel() = default; /** Initialise the kernel's inputs and output * - * @param[in] input Input tensor. Data types supported: F32. + * @param[in] input Input tensor. Data types supported: QS8/QS16/F16/F32. * @param[in] depth_offset The offset on the Z axis. - * @param[in,out] output Output tensor. Data types supported: F32. + * @param[in,out] output Output tensor. Data types supported: Same as @p input. * * @note: The output tensor's low two dimensions can't be smaller than the input one's. * @note: The gaps between the two lowest dimensions of input and output need to be divisible by 2. |