diff options
Diffstat (limited to 'src/core/CL/cl_kernels/reduction_operation.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/reduction_operation.cl | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/src/core/CL/cl_kernels/reduction_operation.cl b/src/core/CL/cl_kernels/reduction_operation.cl index c5fdfd8751..b2e56928d0 100644 --- a/src/core/CL/cl_kernels/reduction_operation.cl +++ b/src/core/CL/cl_kernels/reduction_operation.cl @@ -167,11 +167,11 @@ __kernel void reduction_operation_x( * @note The product flag must be passed at compile time using -DPROD if we want to compute the product, otherwise sum will be used * @note In case of MIN and MAX the condition data type must be passed at compile time using -DCOND_DATA_TYPE e.g. -DCOND_DATA_TYPE=short * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: S32/F16/F32 and QASYMM8 for operation MEAN + * @param[in] src_ptr Pointer to the source tensor. Supported data types: S32/F16/F32 and QASYMM8/QASYMM8_SIGNED for operation MEAN * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p src_ptt + * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p src_ptr * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] output_offset_first_element_in_bytes The offset of the first element in the source tensor @@ -233,13 +233,13 @@ __kernel void reduction_operation_non_parallel_x( * @note The input data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float * @note The height size must be passed at compile time using -DHEIGHT e.g. -DHEIGHT=128 * - * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8/S32/F16/F32 + * @param[in] src_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes) * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p src_ptt + * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p src_ptr * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) @@ -316,7 +316,7 @@ __kernel void reduction_operation_y( * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float * @note The depth size must be passed at compile time using -DDEPTH e.g. -DDEPTH=128 * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/S32/F16/F32 + * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) @@ -324,7 +324,7 @@ __kernel void reduction_operation_y( * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p input_ptt + * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p input_ptr * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) @@ -420,7 +420,7 @@ __kernel void reduction_operation_z( * @note The batch size must be passed at compile time using -DBATCH e.g. -DBATCH=128 * @note The depth size must be passed at compile time using -DBATCH e.g. -DDEPTH=128 * - * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/S32/F16/F32 + * @param[in] input_ptr Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/S32/F16/F32 * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes) * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes) @@ -430,7 +430,7 @@ __kernel void reduction_operation_z( * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes) * @param[in] input_step_w input_stride_w * number of elements along W processed per workitem(in bytes) * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor - * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p input_ptt + * @param[in] output_ptr The local buffer to hold sumed values. Supported data types: same as @p input_ptr * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes) * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes) |