wehub-resource-sync
65 lines
1.9 KiB
C++
65 lines
1.9 KiB
C++
#include "QNNMatMul.hpp"
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namespace MNN {
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namespace QNN {
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#ifdef ENABLE_QNN_ONLINE_FINALIZE
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ErrorCode QNNMatMul::onEncode(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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auto param = mOp->main_as_MatMul();
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mNodeType = "MatMul";
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bool transpose0 = param->transposeA();
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bool transpose1 = param->transposeB();
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#ifdef QNN_VERBOSE
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MNN_PRINT("QNN MatMul\ninput0:");
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auto shape0 = inputs[0]->shape();
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for(int i = 0; i < shape0.size(); i++) {
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MNN_PRINT("%d x ", shape0[i]);
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}
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MNN_PRINT("\ninput1:");
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auto shape1 = inputs[1]->shape();
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for(int i = 0; i < shape1.size(); i++) {
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MNN_PRINT("%d x ", shape1[i]);
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}
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MNN_PRINT("\noutput:");
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auto outShape = outputs[0]->shape();
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for(int i = 0; i < outShape.size(); i++) {
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MNN_PRINT("%d x ", outShape[i]);
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}
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MNN_PRINT("\n");
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#endif
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this->createParamScalar("transpose_in0", transpose0); // mParamScalarWrappers[0], transpose_in0
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this->createParamScalar("transpose_in1", transpose1); // mParamScalarWrappers[1], transpose_in1
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// Add nodes.
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this->addNodeCommon(inputs, outputs);
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return NO_ERROR;
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}
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class QNNMatMulCreator : public QnnBackend::Creator {
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public:
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virtual QNNCommonExecution * onCreate(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs, const MNN::Op* op,
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Backend* backend) const override {
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// Currently, GEMV is not allowed.
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if (inputs[0]->dimensions() == 1 || inputs[1]->dimensions() == 1) {
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return nullptr;
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}
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// Currently, the broadcast case is not allowed.
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if (inputs[0]->dimensions()!= inputs[1]->dimensions()) {
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return nullptr;
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}
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return new QNNMatMul(backend, op);
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}
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};
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REGISTER_QNN_OP_CREATOR(QNNMatMulCreator, OpType_MatMul)
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#endif
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} // end namespace QNN
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} // end namespace MNN
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