isin_cuda_dispatch.h 1.9 KB

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  1. #pragma once
  2. // @generated by torchgen/gen.py from DispatchKeyFunction.h
  3. // NB: The implementing C++ file is RegisterDispatchKey.cpp
  4. // The only #includes we need are for custom classes that have defaults in the C++ API
  5. #include <c10/core/MemoryFormat.h>
  6. #include <c10/core/Scalar.h>
  7. #include <ATen/core/Reduction.h>
  8. // Forward declarations of any types needed in the operator signatures.
  9. // We can't directly include these classes because it will cause circular include dependencies.
  10. // This file is included by TensorBody.h, which defines the Tensor class.
  11. #include <ATen/core/ATen_fwd.h>
  12. namespace at {
  13. namespace cuda {
  14. TORCH_API at::Tensor isin(const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false);
  15. TORCH_API at::Tensor & isin_out(at::Tensor & out, const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false);
  16. TORCH_API at::Tensor & isin_outf(const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out);
  17. TORCH_API at::Tensor isin(const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false);
  18. TORCH_API at::Tensor & isin_out(at::Tensor & out, const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false);
  19. TORCH_API at::Tensor & isin_outf(const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique, bool invert, at::Tensor & out);
  20. TORCH_API at::Tensor isin(const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false);
  21. TORCH_API at::Tensor & isin_out(at::Tensor & out, const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false);
  22. TORCH_API at::Tensor & isin_outf(const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out);
  23. } // namespace cuda
  24. } // namespace at