/* * Copyright (C) 2017 The Android Open Source Project * * 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 "EmbeddingLookup.h" #include "CpuExecutor.h" #include "Operations.h" #include "Tracing.h" namespace android { namespace nn { EmbeddingLookup::EmbeddingLookup(const Operation& operation, std::vector& operands) { value_ = GetInput(operation, operands, kValueTensor); lookup_ = GetInput(operation, operands, kLookupTensor); output_ = GetOutput(operation, operands, kOutputTensor); } bool EmbeddingLookup::Eval() { NNTRACE_COMP("EmbeddingLookup::Eval"); const int row_size = value_->shape().dimensions[0]; const int total_bytes = nonExtensionOperandSizeOfData(value_->type, value_->dimensions); const int row_bytes = total_bytes/row_size; for (uint32_t i = 0; i < lookup_->shape().dimensions[0]; i++) { int idx = (reinterpret_cast(lookup_->buffer))[i]; if (idx >= row_size || idx < 0) { LOG(ERROR) << "Embedding Lookup: index out of bounds."; return false; } else { memcpy(output_->buffer + i * row_bytes, value_->buffer + idx * row_bytes, row_bytes); } } return true; } } // namespace nn } // namespace android