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Diffstat (limited to 'reference_model/src/ops/scatter_gather.cc')
-rw-r--r-- | reference_model/src/ops/scatter_gather.cc | 120 |
1 files changed, 120 insertions, 0 deletions
diff --git a/reference_model/src/ops/scatter_gather.cc b/reference_model/src/ops/scatter_gather.cc new file mode 100644 index 0000000..c54204a --- /dev/null +++ b/reference_model/src/ops/scatter_gather.cc @@ -0,0 +1,120 @@ + +// Copyright (c) 2020, 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 "scatter_gather.h" +#include "quant_util.h" + +using namespace TosaReference; +using namespace Eigen; +using namespace tosa; + +template <int InRank, int IndexRank, DType Dtype> +OpGather<InRank, IndexRank, Dtype>::OpGather(TosaAttributeBase* attribute_, TosaQuantInfoBase* qinfo_, uint64_t id_) + : GraphNode(Op_GATHER, id_) +{ + setRequiredOperands(2, 1); + setRequiredRank(1, 6); + + INIT_ATTRIBUTE(Axis); +} + +template <int InRank, int IndexRank, DType Dtype> +OpGather<InRank, IndexRank, Dtype>::~OpGather() +{ + if (attribute) + delete attribute; +} + +template <int InRank, int IndexRank, DType Dtype> +int OpGather<InRank, IndexRank, Dtype>::checkTensorAttributes() +{ + if (validateRequiredOperands()) + return 1; + + if (validateRequiredRank(inputs[0]) || validateRequiredRank(inputs[1]) || validateRequiredRank(outputs[0])) + { + return 1; + } + + // output and input must be the same types + if (inputs[0]->matchType(*outputs[0])) + { + printNodeValidationError("Failure to match input and output type"); + return 1; + } + + in = dynamic_cast<TosaReference::TensorTemplate<TIn>*>(inputs[0]); + index = dynamic_cast<TosaReference::TensorTemplate<TIndex>*>(inputs[1]); + out = dynamic_cast<TosaReference::TensorTemplate<TOut>*>(outputs[0]); + + ASSERT_MEM(in && index && out); + + return 0; +} + +template <int InRank, int IndexRank, DType Dtype> +int OpGather<InRank, IndexRank, Dtype>::eval() +{ + int axis = attribute->axis(); + + // calculate size left and right to axis + int left_size = 1; + for (int i = 0; i < axis; ++i) + { + left_size *= in->getShape()[i]; + } + + int right_size = 1; + for (int i = axis + 1; i < in->getRank(); ++i) + { + right_size *= in->getShape()[i]; + } + + InEigenType* input_data = in->getTensor().data(); + int32_t* index_data = index->getTensor().data(); + OutEigenType* output_data = out->getTensor().data(); + + int32_t axis_size = in->getShape()[axis]; + int32_t index_count = index->getElementCount(); + + // sanity check if index is valid + // need to check until this point since index is not known until runtime + for (size_t i = 0; i < index->getElementCount(); i++) + { + if (index_data[i] >= axis_size) + { + FATAL_ERROR_NODE("OpGather: index[%lu]=%i can't exceed axis_size=%i", i, index_data[i], axis_size); + } + } + + // Eigen stores tensor in column-major + // so we iterate through dimension right to axis and the index array + // do memory copy with size of left size each time + for (int right = 0; right < right_size; ++right) + { + for (int i = 0; i < index_count; ++i) + { + std::memcpy(output_data + (right * index_count + i) * left_size, + input_data + (right * axis_size + index_data[i]) * left_size, sizeof(InEigenType) * left_size); + } + } + + return GraphNode::eval(); +} + +// template explicit instantiation +DEF_INSTANTIATE_GATHER(OpGather, AINT8); +DEF_INSTANTIATE_GATHER(OpGather, INT16); +DEF_INSTANTIATE_GATHER(OpGather, INT32); |