#pragma once // @generated by torchgen/gen.py from Function.h #include <ATen/Context.h> #include <ATen/DeviceGuard.h> #include <ATen/TensorUtils.h> #include <ATen/TracerMode.h> #include <ATen/core/Generator.h> #include <ATen/core/Reduction.h> #include <ATen/core/Tensor.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 <ATen/ops/reshape_ops.h> namespace at { // aten::reshape(Tensor(a) self, SymInt[] shape) -> Tensor(a) inline at::Tensor reshape(const at::Tensor & self, at::IntArrayRef shape) { return at::_ops::reshape::call(self, c10::fromIntArrayRefSlow(shape)); } namespace symint { template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>> at::Tensor reshape(const at::Tensor & self, at::IntArrayRef shape) { return at::_ops::reshape::call(self, c10::fromIntArrayRefSlow(shape)); } } // aten::reshape(Tensor(a) self, SymInt[] shape) -> Tensor(a) inline at::Tensor reshape_symint(const at::Tensor & self, c10::SymIntArrayRef shape) { return at::_ops::reshape::call(self, shape); } namespace symint { template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>> at::Tensor reshape(const at::Tensor & self, c10::SymIntArrayRef shape) { return at::_ops::reshape::call(self, shape); } } }
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