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Diffstat (limited to 'compute/cker/include/cker/operation/Split.h')
-rw-r--r-- | compute/cker/include/cker/operation/Split.h | 65 |
1 files changed, 65 insertions, 0 deletions
diff --git a/compute/cker/include/cker/operation/Split.h b/compute/cker/include/cker/operation/Split.h new file mode 100644 index 000000000..08a436ee9 --- /dev/null +++ b/compute/cker/include/cker/operation/Split.h @@ -0,0 +1,65 @@ +/* + * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved + * Copyright 2017 The TensorFlow Authors. All Rights Reserved. + * + * 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. + */ + +#ifndef __NNFW_CKER_SPLIT_H__ +#define __NNFW_CKER_SPLIT_H__ + +#include "cker/Shape.h" +#include "cker/Types.h" + +namespace nnfw +{ +namespace cker +{ + +template <typename Scalar> +void Split(const SplitParams ¶ms, const Shape &input_shape, const Scalar *input_data, + const Shape &output_shape, Scalar *const *output_data) +{ + const int split_dimensions = input_shape.DimensionsCount(); + int axis = params.axis < 0 ? params.axis + split_dimensions : params.axis; + int outputs_count = params.num_split; + + int64_t outer_size = 1; + for (int i = 0; i < axis; ++i) + { + outer_size *= input_shape.Dims(i); + } + // For all output arrays, + // FlatSize() = outer_size * Dims(axis) * base_inner_size; + int64_t base_inner_size = 1; + for (int i = axis + 1; i < split_dimensions; ++i) + { + base_inner_size *= input_shape.Dims(i); + } + + const Scalar *input_ptr = input_data; + for (int k = 0; k < outer_size; k++) + { + for (int i = 0; i < outputs_count; ++i) + { + const int copy_size = output_shape.Dims(axis) * base_inner_size; + memcpy(output_data[i] + k * copy_size, input_ptr, copy_size * sizeof(Scalar)); + input_ptr += copy_size; + } + } +} + +} // namespace cker +} // namespace nnfw + +#endif // __NNFW_CKER_SPLIT_H__ |