diff options
Diffstat (limited to 'src/core/gpu/cl/kernels/ClSoftmaxKernel.h')
| -rw-r--r-- | src/core/gpu/cl/kernels/ClSoftmaxKernel.h | 22 |
1 files changed, 7 insertions, 15 deletions
diff --git a/src/core/gpu/cl/kernels/ClSoftmaxKernel.h b/src/core/gpu/cl/kernels/ClSoftmaxKernel.h index db1aca3b9b..a2ad02d6b7 100644 --- a/src/core/gpu/cl/kernels/ClSoftmaxKernel.h +++ b/src/core/gpu/cl/kernels/ClSoftmaxKernel.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_CLSOFTMAXLAYERKERNEL_H -#define ARM_COMPUTE_CLSOFTMAXLAYERKERNEL_H +#ifndef ARM_COMPUTE_CL_SOFTMAX_KERNEL_H +#define ARM_COMPUTE_CL_SOFTMAX_KERNEL_H #include "arm_compute/core/Error.h" #include "arm_compute/core/KernelDescriptors.h" @@ -50,7 +50,6 @@ public: /** Info for whether a parallel reduction will be run and the vector size of the execution. */ using ParallelReductionInfo = std::tuple<bool, unsigned int>; - /** Default constructor */ ClLogits1DMaxShiftExpSumKernel(); ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClLogits1DMaxShiftExpSumKernel); /** Configure the kernel using the given information about tensors @@ -63,12 +62,9 @@ public: * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo. */ void configure(const CLCompileContext &compile_context, const ITensorInfo &src, ITensorInfo &max, ITensorInfo &dst, ITensorInfo &sum, const SoftmaxKernelInfo &info); - /** Static function to check if given info will lead to a valid configuration of @ref ClLogits1DMaxShiftExpSumKernel + /** Static function to check if given info will lead to a valid configuration * - * @param[in] src Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32 - * @param[in] max Max values tensor. Data types supported: same as @p src - * @param[in] dst Destination tensor. Data types supported: same as @p src - * @param[in] sum Sum of 1D logits tensor. Data types supported: same as @p src + * Similar to @ref ClLogits1DMaxShiftExpSumKernel::configure() * * @return a status */ @@ -93,7 +89,6 @@ public: class ClLogits1DNormKernel : public IClKernel { public: - /** Default constructor */ ClLogits1DNormKernel(); ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClLogits1DNormKernel); @@ -106,12 +101,9 @@ public: * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo. */ void configure(const CLCompileContext &compile_context, const ITensorInfo &src, const ITensorInfo &sum, ITensorInfo &dst, const SoftmaxKernelInfo &info); - /** Static function to check if given info will lead to a valid configuration of @ref ClLogits1DNormKernel + /** Static function to check if given info will lead to a valid configuration * - * @param[in] src Source tensor. Data types supported: S32/F16/F32. If this kernel is used for log softmax, only F32/F16 is supported. - * @param[in] sum Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input - * @param[in] dst Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input - * @param[in] info Contains information consumed by kernels for softmax described in @ref SoftmaxKernelInfo. + * Similar to @ref ClLogits1DNormKernel::configure() * * @return a status */ @@ -123,4 +115,4 @@ public: } // namespace kernels } // namespace opencl } // namespace arm_compute -#endif /*ARM_COMPUTE_CLSOFTMAXLAYERKERNEL_H */ +#endif /* ARM_COMPUTE_CL_SOFTMAX_KERNEL_H */ |