/**************************************************************************** * * Copyright (c) 2020 Vivante Corporation * * Permission is hereby granted, free of charge, to any person obtaining a * copy of this software and associated documentation files (the "Software"), * to deal in the Software without restriction, including without limitation * the rights to use, copy, modify, merge, publish, distribute, sublicense, * and/or sell copies of the Software, and to permit persons to whom the * Software is furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER * DEALINGS IN THE SOFTWARE. * *****************************************************************************/ #include "tim/vx/operation.h" #include #include "graph_private.h" #include "operation_private.h" #include "type_utils.h" #include "vsi_nn_pub.h" namespace tim { namespace vx { OperationImpl::OperationImpl(Graph* graph, uint32_t operation_id, int input_cnt, int output_cnt, DataLayout layout) : graph_(reinterpret_cast(graph)), operation_id_(operation_id), input_cnt_(input_cnt), output_cnt_(output_cnt), layout_(layout), node_(vsi_nn_AddNode(graph_->graph(), operation_id_, input_cnt_, output_cnt_, NULL)) { SetRoundingPolicy(); node_->uid = graph_->graph()->cur_nid; } OperationImpl& OperationImpl::BindInput(const std::shared_ptr& tensor) { inputs_tensor_.push_back(tensor); uint32_t tensor_id = tensor->GetId(); node_->input.tensors[input_tensor_index++] = tensor_id; if (tensor->GetSpec().attr_ & TensorAttribute::INPUT) { graph_->AddInput(tensor_id); graph_->AddInput(tensor); } return *this; } OperationImpl& OperationImpl::BindOutput( const std::shared_ptr& tensor) { outputs_tensor_.push_back(tensor); uint32_t tensor_id = tensor->GetId(); node_->output.tensors[output_tensor_index++] = tensor_id; if (tensor->GetSpec().attr_ == TensorAttribute::OUTPUT) { graph_->AddOutput(tensor_id); graph_->AddOutput(tensor); } return *this; } OperationImpl& OperationImpl::SetRoundingPolicy( OverflowPolicy overflow_policy, RoundingPolicy rounding_policy, RoundType down_scale_size_rounding, uint32_t accumulator_bits) { node_->vx_param.overflow_policy = TranslateOverflowPolicy(overflow_policy); node_->vx_param.rounding_policy = TranslateRoundingPolicy(rounding_policy); node_->vx_param.down_scale_size_rounding = TranslateDownScaleSizeRounding(down_scale_size_rounding); node_->vx_param.accumulator_bits = accumulator_bits; return *this; } // Operation implementation Operation::Operation(Graph* graph, uint32_t operation_id, int input_cnt, int output_cnt, DataLayout layout) { impl_ = std::make_unique(graph, operation_id, input_cnt, output_cnt, layout); } Operation::~Operation() {} std::unique_ptr& Operation::impl() { return impl_; } const std::unique_ptr& Operation::impl() const { return impl_; } Operation& Operation::BindInput(const std::shared_ptr& tensor) { impl_->BindInput(tensor); impl_->graph_->UpdateTensorConsumersMap(tensor, this); return *this; } Operation& Operation::BindOutput(const std::shared_ptr& tensor) { impl_->BindOutput(tensor); impl_->graph_->UpdateTensorProducerMap(tensor, this); return *this; } Operation& Operation::SetRoundingPolicy( OverflowPolicy overflow_policy, RoundingPolicy rounding_policy, RoundType down_scale_size_rounding, uint32_t accumulator_bits) { impl_->SetRoundingPolicy(overflow_policy, rounding_policy, down_scale_size_rounding, accumulator_bits); return *this; } Operation& Operation::BindInputs( const std::vector>& tensors) { for (auto& t : tensors) { BindInput(t); } return *this; } Operation& Operation::BindOutputs( const std::vector>& tensors) { for (auto& t : tensors) { BindOutput(t); } return *this; } } // namespace vx } // namespace tim