#pragma once // @generated by torchgen/gen.py from Function.h #include #include #include #include #include #include #include #include #include #include #include #include #include namespace at { // aten::from_file(str filename, bool? shared=None, int? size=0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor from_file(c10::string_view filename, c10::optional shared=c10::nullopt, c10::optional size=0, at::TensorOptions options={}) { return at::_ops::from_file::call(filename, shared, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); } // aten::from_file(str filename, bool? shared=None, int? size=0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor from_file(c10::string_view filename, c10::optional shared, c10::optional size, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory) { return at::_ops::from_file::call(filename, shared, size, dtype, layout, device, pin_memory); } // aten::from_file.out(str filename, bool? shared=None, int? size=0, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & from_file_out(at::Tensor & out, c10::string_view filename, c10::optional shared=c10::nullopt, c10::optional size=0) { return at::_ops::from_file_out::call(filename, shared, size, out); } // aten::from_file.out(str filename, bool? shared=None, int? size=0, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & from_file_outf(c10::string_view filename, c10::optional shared, c10::optional size, at::Tensor & out) { return at::_ops::from_file_out::call(filename, shared, size, out); } }