Codegen for Tanh

[steventk-g]

Generated LazyIr.h:

class Tanh : public XlaNode {
 public:
  static torch::lazy::OpKind ClassOpKind() {
    return torch::lazy::OpKind(at::aten::tanh);
  }

  Tanh(const torch::lazy::Value& self, std::vector<torch::lazy::Shape>&& shapes)
      : XlaNode(torch::lazy::OpKind(at::aten::tanh),
              {self}, std::move(shapes),
              [&]() { return TanhOutputShape(self); },
              /* num_outputs */ 1,
              torch::lazy::MHash())
  {
    
  }

  std::string ToString() const override {
    std::stringstream ss;
    ss << XlaNode::ToString();
    
    return ss.str();
  }

  

  bool CanBeReused(const torch::lazy::Value& self) const {
    return false;
    }

  torch_xla::XlaOpVector Lower(LoweringContext* loctx) const override;

  
  

};

Generated XLANativeFunctions.cpp:

    at::Tensor XLANativeFunctions::tanh(const at::Tensor & self) {
        
        XLA_FN_COUNTER("xla::");
        auto common_device = torch_xla::bridge::GetXlaDevice(self);
        TORCH_INTERNAL_ASSERT(common_device);
        
        torch_xla::XLATensorPtr lazy_self = torch_xla::bridge::GetXlaTensorOrCreateForWrappedNumber(self, *common_device);
        torch::lazy::NodePtr node = torch::lazy::ReuseNode<Tanh>(lazy_self->GetIrValue());
        if (!node) {
                    auto self_meta = to_meta(self);
        auto out_meta = at::meta::tanh(self_meta);
        
std::vector<torch::lazy::Shape> shapes{torch::lazy::Shape(out_meta.scalar_type(), out_meta.sizes().vec())};
            TORCH_INTERNAL_ASSERT(shapes.size() == 1);
            if(torch::lazy::symbolicShapeEnabled()){
                std::vector<torch::jit::IValue> inputs = { self };
                const char* schema_str = "aten::tanh(Tensor self) -> Tensor";
                applySymbolicShapesOnLT(schema_str, inputs, shapes);
            }
        
            node = torch::lazy::MakeNode<Tanh>(lazy_self->GetIrValue(), std::move(shapes));
            CacheNode(node);
        }
        
        auto result = torch_xla::bridge::AtenFromXlaTensor(
                torch_xla::XLATensor::Create(std::move(node), *common_device));
        return result;
    };

[wonjoolee95]

Nice! Thanks! 👍

[wonjoolee95]

@steventk-g, also curious what was the cause of the problem you mentioned before regarding the Node being not found?

[steventk-g]

@steventk-g, also curious what was the cause of the problem you mentioned before regarding the Node being not found?

I hadn't removed the Tanh definition from ops.h, so it was interfering with the template somehow. It wasn't clear from the compiler error, though. Once I removed it everything built fine.