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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-07-02 09:01:49 +0100 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-07-02 15:47:11 +0000 |
commit | 2eb5d16b839cbc28c6cb7f0de7a0bf15290b425a (patch) | |
tree | 523d495c3a4c07d87b337c45a81afa06c9b1f495 /src/core/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.h | |
parent | 4dfc5538948c196def6d2e3305fe8051a5df3f15 (diff) | |
download | ComputeLibrary-2eb5d16b839cbc28c6cb7f0de7a0bf15290b425a.tar.gz |
Align kernel/operator header layout
- Redirect validate documentation to configure
- Align header names
- Align class layout
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ia40f67383826a66e9f9a33745d66805551e31a3a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5897
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'src/core/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.h')
-rw-r--r-- | src/core/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.h | 17 |
1 files changed, 7 insertions, 10 deletions
diff --git a/src/core/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.h b/src/core/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.h index 6f4f09dc32..3976fd45db 100644 --- a/src/core/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.h +++ b/src/core/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.h @@ -21,8 +21,8 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H -#define ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H +#ifndef ARM_COMPUTE_CL_CONVERT_FULLYCONNECTED_WEIGHTS_KERNEL_H +#define ARM_COMPUTE_CL_CONVERT_FULLYCONNECTED_WEIGHTS_KERNEL_H #include "src/core/common/Macros.h" #include "src/core/gpu/cl/ClCompileContext.h" @@ -30,8 +30,6 @@ namespace arm_compute { -class ICLTensor; - /** Interface to convert the 2D Fully Connected weights from NCHW to NHWC or vice versa. * * @note This function can be applied to the 2D weights used by a Fully Connected layer if: @@ -58,12 +56,11 @@ public: * @param[in] data_layout The data layout the weights have been trained in. */ void configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const TensorShape &original_src_shape, DataLayout data_layout); - /** Static function to check if given info will lead to a valid configuration of @ref ClConvertFullyConnectedWeightsKernel + /** Static function to check if given info will lead to a valid configuration + * + * Similar to @ref ClConvertFullyConnectedWeightsKernel::configure() * - * @param[in] src Source weights tensor info to convert. Must be 2 dimensional. Data types supported: All. - * @param[in] dst The converted weights tensor info. Shape and Data Type: Same as @p src. - * @param[in] original_src_shape Shape of the original src tensor (the one entering fully connected layer). - * @param[in] data_layout The data layout the weights have been trained in. + * @return a status */ static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const TensorShape &original_src_shape, DataLayout data_layout); @@ -73,4 +70,4 @@ public: } // namespace kernels } // namespace opencl } // namespace arm_compute -#endif /*ARM_COMPUTE_CLCONVERTFULLYCONNECTEDWEIGHTSKERNEL_H */ +#endif /* ARM_COMPUTE_CL_CONVERT_FULLYCONNECTED_WEIGHTS_KERNEL_H */ |