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Reference implementation for ScatterUpdate (openvinotoolkit#1678)
* Reference implementation for ScatterUpdate and use of it in evaluate. * Review comments. Clarify comments. * Update file directory. * Replace scatter_update reference implementation in ngraph/core/reference/ * Remove template code from ScatterUpdate reference implementation * Apply review requests Co-authored-by: mitruska <[email protected]>
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ngraph/core/reference/include/ngraph/runtime/reference/scatter_update.hpp
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| // Copyright (C) 2020 Intel Corporation | ||
| // SPDX-License-Identifier: Apache-2.0 | ||
| //***************************************************************************** | ||
| // Copyright 2017-2020 Intel Corporation | ||
| // | ||
| // 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. | ||
| //***************************************************************************** | ||
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| #pragma once | ||
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| #include <string> | ||
| #include "ngraph/check.hpp" | ||
| #include "ngraph/coordinate_transform.hpp" | ||
| #include "ngraph/shape.hpp" | ||
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| using namespace ngraph; | ||
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| namespace ngraph | ||
| { | ||
| namespace runtime | ||
| { | ||
| namespace reference | ||
| { | ||
| template <typename dataType, typename indicesType, typename axisType> | ||
| void scatterUpdate(const dataType* inputData, | ||
| const indicesType* indices, | ||
| const dataType* updates, | ||
| const axisType* _axis, | ||
| dataType* outBuf, | ||
| const Shape& dataShape, | ||
| const Shape& indicesShape, | ||
| const Shape& updatesShape) | ||
| void scatter_update(const char* input_data, | ||
| const int64_t* indices, | ||
| const char* updates, | ||
| const int64_t axis, | ||
| char* out_buf, | ||
| const size_t elem_size, | ||
| const Shape& data_shape, | ||
| const Shape& indices_shape, | ||
| const Shape& updates_shape) | ||
| { | ||
| int rank = static_cast<int>(dataShape.size()); | ||
| if (_axis[0] < -rank || _axis[0] > rank - 1) | ||
| { | ||
| std::string error = | ||
| std::string("ScatterUpdate layer has out of bounds axis value: ") + | ||
| std::to_string(_axis[0]); | ||
| throw ngraph_error(error); | ||
| } | ||
| size_t axis = _axis[0] < 0 ? _axis[0] + rank : _axis[0]; | ||
| CoordinateTransform indicesTransform{indicesShape}; | ||
| // Copy inputs to out | ||
| std::memcpy(out_buf, input_data, elem_size * shape_size(data_shape)); | ||
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| // Algorithm overview | ||
| // data[..., indices[m, n, ..., p], ...] = updates[..., m, n, ..., p, ...] | ||
| // where first ... in the data corresponds to first axis dimensions, | ||
| // last ... in the data corresponds to the rank(data) - (axis + 1) dimensions. | ||
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| // | ||
| // for i_coord in indices[m, n, ..., p]: | ||
| // # get linear index | ||
| // i_idx = index(i_coord) | ||
| // # simultaneously iterate over two slices of data with same elements count | ||
| // for d_coord in slice data[..., i_idx, ...], | ||
| // u_coord in slice updates[..., i_coord, ...] | ||
| // data[index(d_coord)] = updates[index(u_coord)] | ||
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| Shape dataShapeIter = dataShape; | ||
| dataShapeIter.erase(dataShapeIter.begin() + axis); | ||
| CoordinateTransform dataTransfIter{dataShapeIter}; | ||
| CoordinateTransform indices_transform{indices_shape}; | ||
| CoordinateTransform data_transform{data_shape}; | ||
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| CoordinateTransform updateTransform{updatesShape}; | ||
| CoordinateTransform dataTransform{dataShape}; | ||
| size_t indices_ndim = indices_shape.size(); | ||
| size_t updates_ndim = updates_shape.size(); | ||
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| std::memcpy(outBuf, inputData, sizeof(dataType) * shape_size(dataShape)); | ||
| // Create an outer CoordinateTransform for "update", which would allow to | ||
| // iterate only over "indices" dimensions: | ||
| // set to "1" all non-indices dimensions | ||
| // updates[1, ..., 1, m, n, ..., p, 1, 1,..., 1] | ||
| Coordinate updates_indices_start_corner(updates_ndim, 0); | ||
| Coordinate updates_indices_end_corner(updates_ndim, 1); | ||
| for (size_t i = 0; i < indices_ndim; ++i) | ||
| { | ||
| updates_indices_end_corner[axis + i] = updates_shape[axis + i]; | ||
| } | ||
| CoordinateTransform updates_indices_transform( | ||
| updates_shape, updates_indices_start_corner, updates_indices_end_corner); | ||
| // Is needed to simultaneously iterate over updates coordinates while | ||
| // iterating over indices. | ||
| auto updates_indices_coord_iter = updates_indices_transform.begin(); | ||
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| for (const Coordinate& indicesCoordIt : indicesTransform) | ||
| for (const Coordinate& indices_cord : indices_transform) | ||
| { | ||
| const size_t indicesIdx = indicesTransform.index(indicesCoordIt); | ||
| const size_t indices_idx = indices_transform.index(indices_cord); | ||
| int64_t slice_index = indices[indices_idx]; | ||
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| if (indices[indicesIdx] < 0) | ||
| { | ||
| std::string error = | ||
| std::string("ScatterUpdate layer has negative index value: ") + | ||
| std::to_string(indices[indicesIdx]); | ||
| throw ngraph_error(error); | ||
| } | ||
| const size_t idx = static_cast<size_t>(indices[indicesIdx]); | ||
| if (dataShape[axis] <= idx) | ||
| // Define the extent of coordinates which will be updated. | ||
| Coordinate out_start_corner(data_shape.size(), 0); | ||
| Coordinate out_end_corner(data_shape); | ||
| out_start_corner[axis] = static_cast<size_t>(slice_index); | ||
| out_end_corner[axis] = out_start_corner[axis] + 1; | ||
| CoordinateTransform out_transform(data_shape, out_start_corner, out_end_corner); | ||
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| // Define the CoordinateTransform for updates coordinates. | ||
| // All except indices-dimensions. | ||
| Coordinate updates_update_start_corner = *updates_indices_coord_iter; | ||
| Coordinate updates_update_end_corner(updates_shape); | ||
| for (size_t i = 0; i < indices_ndim; ++i) | ||
| { | ||
| std::string error = | ||
| std::string("ScatterUpdate layer has out of bounds coordinate: ") + | ||
| std::to_string(idx) + " on 'data' input on " + std::to_string(axis) + | ||
| "th axis"; | ||
| throw ngraph_error(error); | ||
| updates_update_end_corner[axis + i] = | ||
| updates_update_start_corner[axis + i] + 1; | ||
| } | ||
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| for (const Coordinate& dataCoordIt : dataTransfIter) | ||
| // The m, n, .., p symbols stand for values at those axes. | ||
| // The m+1 means value at axis m plus 1. | ||
| // udpates_shape (start): [ 0, ..., 0, m , n , ... p , 0, ..., 0] | ||
| // updates_shape (end): [-1, ..., -1, m+1, n+1, ... p+1, -1, ..., -1] | ||
| CoordinateTransform updates_update_transform( | ||
| updates_shape, updates_update_start_corner, updates_update_end_corner); | ||
| auto updates_update_coord_iter = updates_update_transform.begin(); | ||
| for (const Coordinate& out_cord : out_transform) | ||
| { | ||
| Coordinate dataCoord = dataCoordIt; | ||
| dataCoord.insert(dataCoord.begin() + axis, idx); | ||
| const size_t startIndices = dataTransform.index(dataCoord); | ||
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| auto updCoord = dataCoordIt; | ||
| updCoord.insert( | ||
| updCoord.begin() + axis, indicesCoordIt.begin(), indicesCoordIt.end()); | ||
| const size_t startUpd = updateTransform.index(updCoord); | ||
| outBuf[startIndices] = updates[startUpd]; | ||
| const auto src_idx = | ||
| updates_update_transform.index(*updates_update_coord_iter) * elem_size; | ||
| std::copy(updates + src_idx, | ||
| updates + (src_idx + elem_size), | ||
| out_buf + out_transform.index(out_cord) * elem_size); | ||
| updates_update_coord_iter++; | ||
| } | ||
| updates_indices_coord_iter++; | ||
| } | ||
| } | ||
| } // namespace reference | ||
| } // namespace runtime | ||
| } // namespace ngraph | ||
| } | ||
| } | ||
| } |
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