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- #pragma once
- // @generated by torchgen/gen.py from NativeFunction.h
- #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>
- #include <ATen/ops/gelu_meta.h>
- namespace at {
- namespace native {
- struct TORCH_API structured_gelu_out_cpu : public at::meta::structured_gelu {
- void impl(const at::Tensor & self, c10::string_view approximate, const at::Tensor & out);
- };
- struct TORCH_API structured_gelu_out_cuda : public at::meta::structured_gelu {
- void impl(const at::Tensor & self, c10::string_view approximate, const at::Tensor & out);
- };
- TORCH_API at::Tensor NestedTensor_gelu(const at::Tensor & self, c10::string_view approximate="none");
- TORCH_API at::Tensor & NestedTensor_gelu_(at::Tensor & self, c10::string_view approximate="none");
- TORCH_API at::Tensor mkldnn_gelu(const at::Tensor & self, c10::string_view approximate="none");
- TORCH_API at::Tensor gelu_quantized_cpu(const at::Tensor & self, c10::string_view approximate="none");
- TORCH_API at::Tensor gelu_quantized_cuda(const at::Tensor & self, c10::string_view approximate="none");
- } // namespace native
- } // namespace at
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