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dynamic_ir.h
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dynamic_ir.h
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#pragma once
#include <ATen/core/symbol.h>
#include <functional>
#include <memory>
#include <set>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <utility>
#include <vector>
#include <c10/core/ScalarType.h>
#include <c10/util/Flags.h>
#include <torch/csrc/lazy/core/dynamic_ir.h>
#include <torch/csrc/lazy/core/hash.h>
#include <torch/csrc/lazy/core/ir.h>
#include <torch/csrc/lazy/core/ir_metadata.h>
#include <torch/csrc/lazy/ts_backend/ts_node.h>
C10_DECLARE_bool(ltc_enable_dynamic_shapes);
namespace torch {
namespace lazy {
/**
* The goal of "dynamic" Nodes is to patch a hole in our tracing.
* Previously, if a user called `sizes` on a Tensor, it would leak out
* of our tracing system, as `sizes` returns a torch.Size or an int. To
* prevent this from happening, we introduce DimensionNode, a new type
* of Node that abstracts the operation of getting the dimensions of a
* Tensor.
*
* Consider the following example:
* ```
* numel = x.shape()[0] * x.shape()[1]
* ```
*
* Here, `x.shape()[i]` will be a SizeNode (subclass of DimensionNode),
* and the multiplication of the two SizeNodes will be represented by
* a SizeMul (also a subclass of DimensionNode). Through this, we can
* prevent `numel` from being represented as a Python int and thus
* burned into the Graph.
*/
// Represents the result of calling `size` on a Tensor
class TORCH_API SizeNode : public TsNode, public DimensionNode {
public:
SizeNode(Value input, size_t dim);
int64_t getStaticValue() const override;
bool isSymbolic() const override;
std::string ToString() const override;
size_t dim_ = 0;
torch::lazy::TSOpVector Lower(
std::shared_ptr<torch::jit::GraphFunction> function,
TSLoweringContext* loctx) const override;
};
class TORCH_API SizeAdd : public TsNode, public DimensionNode {
public:
SizeAdd(Value a, Value b);
int64_t getStaticValue() const override;
bool isSymbolic() const override;
std::string ToString() const override;
};
class TORCH_API SizeMul : public TsNode, public DimensionNode {
public:
SizeMul(Value a, Value b);
int64_t getStaticValue() const override;
bool isSymbolic() const override;
std::string ToString() const override;
};
class TORCH_API SizeDiv : public TsNode, public DimensionNode {
public:
SizeDiv(Value a, Value b);
int64_t getStaticValue() const override;
bool isSymbolic() const override;
std::string ToString() const override;
};
} // namespace lazy
} // namespace torch