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Diffstat (limited to 'runtimes/libs/ARMComputeEx/src/core/CL/cl_kernels/arg_operation.cl')
| -rw-r--r-- | runtimes/libs/ARMComputeEx/src/core/CL/cl_kernels/arg_operation.cl | 113 |
1 files changed, 113 insertions, 0 deletions
diff --git a/runtimes/libs/ARMComputeEx/src/core/CL/cl_kernels/arg_operation.cl b/runtimes/libs/ARMComputeEx/src/core/CL/cl_kernels/arg_operation.cl new file mode 100644 index 000000000..2a6dfc91f --- /dev/null +++ b/runtimes/libs/ARMComputeEx/src/core/CL/cl_kernels/arg_operation.cl @@ -0,0 +1,113 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved + * Copyright (c) 2017 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" + +#if defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(OP_CODE) +/** Perform arg_max/arg_min + * + * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. + * e.g. -DDATA_TYPE=short + * @attention Output tensor depth should be given as a preprocessor argument using -DDEPTH_OUT=size. + * e.g. -DDEPTH_OUT=16 + * @attention Operation type(code) specifying which operation to perform should be passed as + * preprocessor argument using -DOP_CODE = number. e.g. -DOP_CODE=1 + * + * @param[in] input_ptr Pointer to the source image. Supported data + * types: + * U8/QASYMM8/S8/U16/S16/F16/U32/S32/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[in] input_stride_w Stride of the source tensor in W dimension + * (in bytes) + * @param[in] input_step_w output_stride_w * number of elements along W + * processed per workitem(in bytes) + * @param[out] output_ptr Pointer to the destination image. + * Supported data types: U32 + * @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_stride_w Stride of the source tensor in W dimension + * (in bytes) + * @param[in] output_step_w output_stride_w * number of elements along W + * processed per workitem(in bytes) + * @param[in] output_offset_first_element_in_bytes The offset of the first element in the + * destination image + * @param[in] axis Axis through which reduction occurs + * @param[in] dim Dimension across the axis to be reduced. + */ + +__kernel void arg_op(TENSOR4D_DECLARATION(input), TENSOR4D_DECLARATION(output), const int axis, + const int dim) +{ + Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, 0); + Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(output, DEPTH_OUT); + + int indices[4] = { + get_global_id(0), get_global_id(1), get_global_id(2) % DEPTH_OUT, + get_global_id(2) / DEPTH_OUT, + }; + + DATA_TYPE value = + *((__global DATA_TYPE *)tensor4D_offset(&in, indices[0], indices[1], indices[2], indices[3])); + DATA_TYPE tval = value; + int idx = 0; + for (int i = 1; i < dim; ++i) + { + indices[axis] = i; + +#if OP_CODE == 1 // ArgMax + value = max(value, *((__global DATA_TYPE *)tensor4D_offset(&in, indices[0], indices[1], + indices[2], indices[3]))); +#elif OP_CODE == 2 // ArgMin + value = min(value, *((__global DATA_TYPE *)tensor4D_offset(&in, indices[0], indices[1], + indices[2], indices[3]))); +#else + return; + +#endif + + if (tval != value) + { + idx = indices[axis]; + tval = value; + } + } + + *((__global uint *)out.ptr) = idx; +} +#endif // defined(DATA_TYPE) && defined(DEPTH_OUT) && defined(OP_CODE) |