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Diffstat (limited to 'libs/ARMComputeEx/src/core/CL/cl_kernels/prelu.cl')
| -rw-r--r-- | libs/ARMComputeEx/src/core/CL/cl_kernels/prelu.cl | 74 |
1 files changed, 74 insertions, 0 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/prelu.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/prelu.cl new file mode 100644 index 000000000..68da2ba32 --- /dev/null +++ b/libs/ARMComputeEx/src/core/CL/cl_kernels/prelu.cl @@ -0,0 +1,74 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved + * Copyright (c) 2016-2018 ARM Limited. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +#include "helpers.h" + +#ifndef VEC_SIZE +#define VEC_SIZE 1 +#endif + +#if defined(DATA_TYPE) +/** Returns result of prelu function implemented as below: + * f(input) = alpha * input for input < 0, f(input) = input for input >= 0. + * + * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float + * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 + * @note Can only take floating point data types. + * + * @param[in] input1_ptr Pointer to the source image. Supported Data types : F16/F32 + * @param[in] input1_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] input1_step_x input1_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] input1_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] input1_step_y input1_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] input1_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] input1_step_z input1_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] input1_offset_first_element_in_bytes The offset of the first element in the source image + * + * @param[in] alpha_ptr Pointer to the source image. Supported Data types : F16/F32 + * @param[in] alpha_stride_x Stride of the source image in X dimension (in bytes) + * @param[in] alpha_step_x input2_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] alpha_stride_y Stride of the source image in Y dimension (in bytes) + * @param[in] alpha_step_y input2_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] alpha_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] alpha_step_z input2_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] alpha_offset_first_element_in_bytes The offset of the first element in the source image + * + * @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr + * @param[in] output_stride_x Stride of the destination image 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 destination image in Y dimension (in bytes) + * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) + * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) + * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image + */ +__kernel void prelu( + TENSOR3D_DECLARATION(input), + TENSOR3D_DECLARATION(alpha), + TENSOR3D_DECLARATION(output)) +{ + Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); + Tensor3D alpha = CONVERT_TO_TENSOR3D_STRUCT(alpha); + Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); + + VSTORE(VEC_SIZE) + (VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr) < 0 ? + VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr) * VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)alpha.ptr) : + VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr), + 0, (__global DATA_TYPE *)output.ptr); + +} +#endif // defined(DATA_TYPE) |