#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::zeros.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor zeros(at::IntArrayRef size, c10::optional names, at::TensorOptions options={}) { return at::_ops::zeros_names::call(size, names, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); } // aten::zeros.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor zeros(at::IntArrayRef size, c10::optional names, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory) { return at::_ops::zeros_names::call(size, names, dtype, layout, device, pin_memory); } // aten::zeros(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor zeros(at::IntArrayRef size, at::TensorOptions options={}) { return at::_ops::zeros::call(c10::fromIntArrayRefSlow(size), c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); } namespace symint { template ::value>> at::Tensor zeros(at::IntArrayRef size, at::TensorOptions options={}) { return at::_ops::zeros::call(c10::fromIntArrayRefSlow(size), c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); } } // aten::zeros(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor zeros(at::IntArrayRef size, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory) { return at::_ops::zeros::call(c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); } namespace symint { template ::value>> at::Tensor zeros(at::IntArrayRef size, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory) { return at::_ops::zeros::call(c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); } } // aten::zeros(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor zeros_symint(c10::SymIntArrayRef size, at::TensorOptions options={}) { return at::_ops::zeros::call(size, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); } namespace symint { template ::value>> at::Tensor zeros(c10::SymIntArrayRef size, at::TensorOptions options={}) { return at::_ops::zeros::call(size, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); } } // aten::zeros(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor zeros_symint(c10::SymIntArrayRef size, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory) { return at::_ops::zeros::call(size, dtype, layout, device, pin_memory); } namespace symint { template ::value>> at::Tensor zeros(c10::SymIntArrayRef size, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory) { return at::_ops::zeros::call(size, dtype, layout, device, pin_memory); } } // aten::zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & zeros_out(at::Tensor & out, at::IntArrayRef size) { return at::_ops::zeros_out::call(c10::fromIntArrayRefSlow(size), out); } namespace symint { template ::value>> at::Tensor & zeros_out(at::Tensor & out, at::IntArrayRef size) { return at::_ops::zeros_out::call(c10::fromIntArrayRefSlow(size), out); } } // aten::zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & zeros_outf(at::IntArrayRef size, at::Tensor & out) { return at::_ops::zeros_out::call(c10::fromIntArrayRefSlow(size), out); } namespace symint { template ::value>> at::Tensor & zeros_outf(at::IntArrayRef size, at::Tensor & out) { return at::_ops::zeros_out::call(c10::fromIntArrayRefSlow(size), out); } } // aten::zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & zeros_symint_out(at::Tensor & out, c10::SymIntArrayRef size) { return at::_ops::zeros_out::call(size, out); } namespace symint { template ::value>> at::Tensor & zeros_out(at::Tensor & out, c10::SymIntArrayRef size) { return at::_ops::zeros_out::call(size, out); } } // aten::zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & zeros_symint_outf(c10::SymIntArrayRef size, at::Tensor & out) { return at::_ops::zeros_out::call(size, out); } namespace symint { template ::value>> at::Tensor & zeros_outf(c10::SymIntArrayRef size, at::Tensor & out) { return at::_ops::zeros_out::call(size, out); } } // aten::zeros.names_out(int[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & zeros_out(at::Tensor & out, at::IntArrayRef size, c10::optional names) { return at::_ops::zeros_names_out::call(size, names, out); } // aten::zeros.names_out(int[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & zeros_outf(at::IntArrayRef size, c10::optional names, at::Tensor & out) { return at::_ops::zeros_names_out::call(size, names, out); } }