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#pragma once
// ${generated_comment}
#ifdef TORCH_ASSERT_NO_OPERATORS
#error This change adds a dependency on native_functions.yaml, \
meaning the file will need to be re-compiled every time an operator \
is changed or added. Consider if your change would be better placed in \
another file, or if a more specific header might achieve the same goal. \
See NOTE: [Tensor vs. TensorBase]
#endif
#if defined(AT_PER_OPERATOR_HEADERS) && defined(TORCH_ASSERT_ONLY_METHOD_OPERATORS)
#error This change adds a dependency on all pytorch operators, meaning the \
file will need to be re-compiled every time an operator is changed or added. \
Consider including a specific operator from <ATen/ops/{my_operator}_native.h> \
and see NOTE [TORCH_ASSERT_ONLY_METHOD_OPERATORS].
#endif
#include <c10/core/Scalar.h>
#include <c10/core/Storage.h>
#include <c10/core/TensorOptions.h>
#include <c10/util/Deprecated.h>
#include <c10/util/Optional.h>
#include <c10/core/QScheme.h>
#include <ATen/core/Reduction.h>
#include <ATen/core/Tensor.h>
#include <tuple>
#include <vector>
${nativeFunctions_declarations}
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