161 lines
4.4 KiB
C++
161 lines
4.4 KiB
C++
#pragma once
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#include <ATen/core/TensorBase.h>
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namespace at::detail {
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inline void check_size_nonnegative(ArrayRef<int64_t> size) {
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for (const auto& x : size) {
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TORCH_CHECK(
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x >= 0,
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"Trying to create tensor with negative dimension ",
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x,
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": ",
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size);
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}
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}
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inline void check_size_nonnegative(ArrayRef<c10::SymInt> size) {
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for (const auto& x : size) {
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TORCH_CHECK(
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x.expect_size(__FILE__, __LINE__),
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"Trying to create tensor with negative dimension ",
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x,
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": ",
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size);
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}
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}
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TORCH_API size_t computeStorageNbytesContiguous(
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IntArrayRef sizes,
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size_t itemsize,
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size_t storage_offset = 0);
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TORCH_API SymInt computeStorageNbytesContiguous(
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SymIntArrayRef sizes,
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const SymInt& itemsize,
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const SymInt& storage_offset = 0);
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TORCH_API size_t computeStorageNbytes(
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IntArrayRef sizes,
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IntArrayRef strides,
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size_t itemsize,
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size_t storage_offset = 0);
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TORCH_API SymInt computeStorageNbytes(
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SymIntArrayRef sizes,
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SymIntArrayRef strides,
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const SymInt& itemsize,
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const SymInt& storage_offset = 0);
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TORCH_API TensorBase empty_generic(
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IntArrayRef size,
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c10::Allocator* allocator,
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c10::DispatchKeySet ks,
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ScalarType scalar_type,
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c10::optional<c10::MemoryFormat> memory_format_opt);
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TORCH_API TensorBase empty_strided_generic(
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IntArrayRef size,
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IntArrayRef stride,
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c10::Allocator* allocator,
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c10::DispatchKeySet ks,
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ScalarType scalar_type);
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TORCH_API TensorBase empty_strided_symint_generic(
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SymIntArrayRef size,
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SymIntArrayRef stride,
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c10::Allocator* allocator,
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c10::DispatchKeySet ks,
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ScalarType scalar_type);
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TORCH_API TensorBase empty_cpu(
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IntArrayRef size,
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ScalarType dtype,
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bool pin_memory = false,
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c10::optional<c10::MemoryFormat> memory_format_opt = c10::nullopt);
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TORCH_API TensorBase empty_cpu(
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IntArrayRef size,
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c10::optional<ScalarType> dtype_opt,
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c10::optional<Layout> layout_opt,
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c10::optional<Device> device_opt,
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c10::optional<bool> pin_memory_opt,
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c10::optional<c10::MemoryFormat> memory_format_opt);
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TORCH_API TensorBase empty_cpu(IntArrayRef size, const TensorOptions& options);
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TORCH_API TensorBase empty_strided_cpu(
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IntArrayRef size,
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IntArrayRef stride,
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ScalarType dtype,
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bool pin_memory = false);
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TORCH_API TensorBase empty_strided_cpu(
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IntArrayRef size,
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IntArrayRef stride,
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c10::optional<ScalarType> dtype_opt,
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c10::optional<Layout> layout_opt,
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c10::optional<Device> device_opt,
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c10::optional<bool> pin_memory_opt);
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TORCH_API TensorBase empty_strided_cpu(
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IntArrayRef size,
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IntArrayRef stride,
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const TensorOptions& options);
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TORCH_API TensorBase empty_meta(
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IntArrayRef size,
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ScalarType dtype,
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c10::optional<c10::MemoryFormat> memory_format_opt = c10::nullopt);
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TORCH_API TensorBase empty_meta(
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IntArrayRef size,
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c10::optional<ScalarType> dtype_opt,
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c10::optional<Layout> layout_opt,
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c10::optional<Device> device_opt,
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c10::optional<bool> pin_memory_opt,
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c10::optional<c10::MemoryFormat> memory_format_opt);
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TORCH_API TensorBase empty_symint_meta(
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SymIntArrayRef size,
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c10::optional<ScalarType> dtype_opt,
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c10::optional<Layout> layout_opt,
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c10::optional<Device> device_opt,
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c10::optional<bool> pin_memory_opt,
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c10::optional<c10::MemoryFormat> memory_format_opt);
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TORCH_API TensorBase empty_meta(IntArrayRef size, const TensorOptions& options);
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TORCH_API TensorBase
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empty_strided_meta(IntArrayRef size, IntArrayRef stride, ScalarType dtype);
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TORCH_API TensorBase empty_strided_meta(
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IntArrayRef size,
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IntArrayRef stride,
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c10::optional<ScalarType> dtype_opt,
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c10::optional<Layout> layout_opt,
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c10::optional<Device> device_opt,
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c10::optional<bool> pin_memory_opt);
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TORCH_API TensorBase empty_strided_meta(
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IntArrayRef size,
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IntArrayRef stride,
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const TensorOptions& options);
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TORCH_API TensorBase empty_strided_symint_meta(
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SymIntArrayRef size,
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SymIntArrayRef stride,
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ScalarType dtype);
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TORCH_API TensorBase empty_strided_symint_meta(
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SymIntArrayRef size,
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SymIntArrayRef stride,
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c10::optional<ScalarType> dtype_opt,
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c10::optional<Layout> layout_opt,
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c10::optional<Device> device_opt,
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c10::optional<bool> pin_memory_opt);
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TORCH_API TensorBase empty_strided_symint_meta(
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SymIntArrayRef size,
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SymIntArrayRef stride,
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const TensorOptions& options);
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} // namespace at::detail
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