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#pragma once
#include <ATen/core/TensorBase.h>
namespace at {
namespace detail {
template <class ArrayRefType>
inline void check_size_nonnegative(ArrayRefType size) {
for (auto x : size) {
TORCH_CHECK(
x >= 0,
"Trying to create tensor with negative dimension ",
x,
": ",
size);
}
}
TORCH_API size_t computeStorageNbytesContiguous(
IntArrayRef sizes,
size_t itemsize,
size_t storage_offset = 0);
TORCH_API size_t computeStorageNbytes(
IntArrayRef sizes,
IntArrayRef strides,
size_t itemsize,
size_t storage_offset = 0);
TORCH_API SymInt computeStorageNbytes(
SymIntArrayRef sizes,
SymIntArrayRef strides,
SymInt itemsize,
SymInt storage_offset = 0);
TORCH_API TensorBase empty_generic(
IntArrayRef size,
c10::Allocator* allocator,
c10::DispatchKeySet ks,
ScalarType scalar_type,
c10::optional<c10::MemoryFormat> memory_format_opt);
TORCH_API TensorBase empty_strided_generic(
IntArrayRef size,
IntArrayRef stride,
c10::Allocator* allocator,
c10::DispatchKeySet ks,
ScalarType scalar_type);
TORCH_API TensorBase empty_strided_symint_generic(
SymIntArrayRef size,
SymIntArrayRef stride,
c10::Allocator* allocator,
c10::DispatchKeySet ks,
ScalarType scalar_type);
TORCH_API TensorBase empty_cpu(
IntArrayRef size,
ScalarType dtype,
bool pin_memory = false,
c10::optional<c10::MemoryFormat> memory_format_opt = c10::nullopt);
TORCH_API TensorBase empty_cpu(
IntArrayRef size,
c10::optional<ScalarType> dtype_opt,
c10::optional<Layout> layout_opt,
c10::optional<Device> device_opt,
c10::optional<bool> pin_memory_opt,
c10::optional<c10::MemoryFormat> memory_format_opt);
TORCH_API TensorBase empty_cpu(IntArrayRef size, const TensorOptions& options);
TORCH_API TensorBase empty_strided_cpu(
IntArrayRef size,
IntArrayRef stride,
ScalarType dtype,
bool pin_memory = false);
TORCH_API TensorBase empty_strided_cpu(
IntArrayRef size,
IntArrayRef stride,
c10::optional<ScalarType> dtype_opt,
c10::optional<Layout> layout_opt,
c10::optional<Device> device_opt,
c10::optional<bool> pin_memory_opt);
TORCH_API TensorBase empty_strided_cpu(
IntArrayRef size,
IntArrayRef stride,
const TensorOptions& options);
TORCH_API TensorBase empty_meta(
IntArrayRef size,
ScalarType dtype,
c10::optional<c10::MemoryFormat> memory_format_opt = c10::nullopt);
TORCH_API TensorBase empty_meta(
IntArrayRef size,
c10::optional<ScalarType> dtype_opt,
c10::optional<Layout> layout_opt,
c10::optional<Device> device_opt,
c10::optional<bool> pin_memory_opt,
c10::optional<c10::MemoryFormat> memory_format_opt);
TORCH_API TensorBase empty_symint_meta(
SymIntArrayRef size,
c10::optional<ScalarType> dtype_opt,
c10::optional<Layout> layout_opt,
c10::optional<Device> device_opt,
c10::optional<bool> pin_memory_opt,
c10::optional<c10::MemoryFormat> memory_format_opt);
TORCH_API TensorBase empty_meta(IntArrayRef size, const TensorOptions& options);
TORCH_API TensorBase
empty_strided_meta(IntArrayRef size, IntArrayRef stride, ScalarType dtype);
TORCH_API TensorBase empty_strided_meta(
IntArrayRef size,
IntArrayRef stride,
c10::optional<ScalarType> dtype_opt,
c10::optional<Layout> layout_opt,
c10::optional<Device> device_opt,
c10::optional<bool> pin_memory_opt);
TORCH_API TensorBase empty_strided_meta(
IntArrayRef size,
IntArrayRef stride,
const TensorOptions& options);
TORCH_API TensorBase empty_strided_symint_meta(
SymIntArrayRef size,
SymIntArrayRef stride,
ScalarType dtype);
TORCH_API TensorBase empty_strided_symint_meta(
SymIntArrayRef size,
SymIntArrayRef stride,
c10::optional<ScalarType> dtype_opt,
c10::optional<Layout> layout_opt,
c10::optional<Device> device_opt,
c10::optional<bool> pin_memory_opt);
TORCH_API TensorBase empty_strided_symint_meta(
SymIntArrayRef size,
SymIntArrayRef stride,
const TensorOptions& options);
} // namespace detail
} // namespace at