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