xla/torch_xla/csrc/ir_builder.h at 8767c73021cda872f605ad0555ca57d0eb404007 · pytorch/xla · GitHub

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#ifndef XLA_TORCH_XLA_CSRC_IR_BUILDER_H_
#define XLA_TORCH_XLA_CSRC_IR_BUILDER_H_

#include <torch/csrc/lazy/core/ir.h>
#include <torch/csrc/lazy/core/ir_builder.h>

#include "torch_xla/csrc/aten_xla_bridge.h"
#include "torch_xla/csrc/device.h"
#include "torch_xla/csrc/ops/as_strided.h"
#include "torch_xla/csrc/ops/cast.h"
#include "torch_xla/csrc/ops/device_data.h"
#include "torch_xla/csrc/ops/diagonal.h"
#include "torch_xla/csrc/ops/dynamic_ir.h"
#include "torch_xla/csrc/ops/expand.h"
#include "torch_xla/csrc/ops/generic.h"
#include "torch_xla/csrc/ops/ops.h"
#include "torch_xla/csrc/runtime/debug_macros.h"
#include "torch_xla/csrc/tensor_util.h"

namespace torch_xla {

struct XLAIrBuilder : torch::lazy::IrBuilder {
  torch::lazy::NodePtr MakeDeviceData(
      const std::shared_ptr<torch::lazy::BackendData>& data) const override {
    return torch_xla::MakeNode<DeviceData>(data);
  }

  torch::lazy::NodePtr MakeScalar(const at::Scalar& value,
                                  const at::ScalarType& type) const override {
    XLA_ASSIGN_OR_THROW(const torch::lazy::BackendDevice* default_device,
                        bridge::GetDefaultDevice());
    return torch_xla::MakeNode<Scalar>(
        value, MakeXlaPrimitiveType(type, default_device));
  }
  torch::lazy::NodePtr MakeExpand(const torch::lazy::Value& input0,
                                  const std::vector<int64_t>& size,
                                  const bool& is_scalar_expand) const override {
    // TODO(JackCaoG): handle is_scalar_expand
    return torch_xla::MakeNode<Expand>(input0, size);
  }
  torch::lazy::NodePtr MakeCast(const torch::lazy::Value& input0,
                                const at::ScalarType& dtype,
                                const std::optional<at::ScalarType>& stype =
                                    std::nullopt) const override {
    return torch_xla::MakeNode<Cast>(input0, dtype, stype);
  }
  torch::lazy::NodePtr MakeTensorList(
      const torch::lazy::OpList& inputs) const override {
    // TODO(JackCaoG): implement tensorList IR. This is used by codegen.
    XLA_ERROR() << "Need to implement";
    return nullptr;
  }
  // Generic needs cleanup
  torch::lazy::NodePtr MakeGeneric(
      const torch::lazy::OpKind& op, const torch::lazy::OpList& operands,
      const torch::lazy::Shape& shape, const size_t& num_outputs = 1,
      const torch::lazy::hash_t& hash_seed =
          static_cast<uint32_t>(0x5a2d296e9)) const override {
    // TODO(JackCaoG): ltc generic op does not take lowering function
    // return torch_xla::MakeNode<Generic>(
    //     op, operands, MakeXlaShapeFromLazyShape(shape,
    //     *bridge::GetDefaultDevice()), num_outputs, hash_seed);
  }

  torch::lazy::NodePtr MakeSizeNode(const torch::lazy::Value& input,
                                    size_t dim) const override {
    return torch_xla::MakeNode<SizeNode>(input, dim);
  }
  torch::lazy::NodePtr MakeSizeAdd(const torch::lazy::Value& a,
                                   const torch::lazy::Value& b) const override {
    return torch_xla::MakeNode<SizeAdd>(a, b);
  }
  torch::lazy::NodePtr MakeSizeMul(const torch::lazy::Value& a,
                                   const torch::lazy::Value& b) const override {
    return torch_xla::MakeNode<SizeMul>(a, b);
  }
  torch::lazy::NodePtr MakeSizeDiv(const torch::lazy::Value& a,
                                   const torch::lazy::Value& b) const override {
    return torch_xla::MakeNode<SizeDiv>(a, b);
  }
};

}  // namespace torch_xla

#endif  // XLA_TORCH_XLA_CSRC_IR_BUILDER_H_