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Diffstat (limited to 'libs/ARMComputeEx/src/core/CL/cl_kernels/activation_layer_ex.cl')
| -rw-r--r-- | libs/ARMComputeEx/src/core/CL/cl_kernels/activation_layer_ex.cl | 89 |
1 files changed, 89 insertions, 0 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/cl_kernels/activation_layer_ex.cl b/libs/ARMComputeEx/src/core/CL/cl_kernels/activation_layer_ex.cl new file mode 100644 index 000000000..f54c7bde3 --- /dev/null +++ b/libs/ARMComputeEx/src/core/CL/cl_kernels/activation_layer_ex.cl @@ -0,0 +1,89 @@ +/* + * 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" + +#define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) + +#define CONST_ONE 1.f +#define DIV_OP(a, b) ((a) / (b)) +#define RSQRT_OP(a) DIV_OP(CONST_ONE, sqrt((a))) + +// Inverse Square-root Activation +inline TYPE rsqrt_op(TYPE x) +{ + return RSQRT_OP(x); +} + +#define ACTIVATION_OP2(op, x) op##_op(x) +#define ACTIVATION_OP(op, x) ACTIVATION_OP2(op, x) + +#if defined(ACT) + +/** This performs an activation function floating point inputs. + * + * @note In order to perform the activation function "in-place", the pre-processor -DIN_PLACE must be passed at compile time + * + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short + * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 + * @note Activation function should be given as a preprocessor argument using -DACT=name. e.g. -DACT=TANH + * @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively. + * + * @param[in] input_ptr Pointer to the source image. Supported data types: F16/F32 + * @param[in] input_stride_x Stride of the source image 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 image in Y dimension (in bytes) + * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) + * @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 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 activation_layer_ex( + TENSOR3D_DECLARATION(input) +#ifndef IN_PLACE + , + TENSOR3D_DECLARATION(output) +#endif /* not IN_PLACE */ +) +{ + // Get pixels pointer + Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input); +#ifdef IN_PLACE + Tensor3D output = input; +#else /* IN_PLACE */ + Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output); +#endif /* IN_PLACE */ + + // Load data + TYPE data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr); + + // Perform activation + data = ACTIVATION_OP(ACT, data); + + // Store result + VSTORE(VEC_SIZE) + (data, 0, (__global DATA_TYPE *)output.ptr); +} + +#endif /* defined(ACT) */ |