| |
| // Copyright (c) 2020, 2023, 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 "custom.h" |
| #include "attribute.h" |
| |
| #include "tensor.h" |
| |
| using namespace TosaReference; |
| using namespace Eigen; |
| using namespace tosa; |
| |
| OpCustom::OpCustom(SubgraphTraverser* sgt_, TosaAttributeBase* attribute_, uint64_t id_) |
| : GraphNode(sgt_, Op_CUSTOM, id_) |
| { |
| // Init Attribute |
| if (auto p = dynamic_cast<TosaCustomAttribute*>(attribute_)) |
| attribute = new TosaCustomAttribute(p); |
| } |
| |
| OpCustom::~OpCustom() |
| {} |
| |
| int OpCustom::checkTensorAttributes() |
| { |
| // Get the pointer to customOp library |
| auto domain_name_vec = attribute->domain_name(); |
| auto operator_name_vec = attribute->operator_name(); |
| std::string domain_name(domain_name_vec.begin(), domain_name_vec.end()); |
| std::string operator_name(operator_name_vec.begin(), operator_name_vec.end()); |
| |
| auto getCustomNodeFunc = MasterRegistry::get_op(domain_name, operator_name); |
| ERROR_IF(getCustomNodeFunc == nullptr, "Can't find the custom shared library: %s::%s is not registered.", |
| domain_name.c_str(), operator_name.c_str()); |
| this->custom_op_ptr = getCustomNodeFunc(); |
| |
| return 0; |
| } |
| |
| int OpCustom::eval() |
| { |
| auto implementation_attrs_vec = attribute->implementation_attrs(); |
| std::string implementation_attrs(implementation_attrs_vec.begin(), implementation_attrs_vec.end()); |
| custom_op_ptr->eval(getInputs(), getOutputs(), implementation_attrs); |
| return GraphNode::eval(); |
| } |