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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, 0 insertions, 74 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/prelu.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/prelu.cl deleted file mode 100644 index 68da2ba32..000000000 --- a/libs/ARMComputeEx/src/core/CL/cl_kernels/prelu.cl +++ /dev/null @@ -1,74 +0,0 @@ -/* - * 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) |