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TensorTypes.h File

Tensor dtype, axis semantics, layout token, and minimal DLPack-like structs. More...

Included Headers​

#include <cstdint>

Namespaces Index​

namespacesimaai
namespaceneat
namespacedlpack

Minimal DLPack-shaped structs for zero-copy interop with NumPy/PyTorch. More...

Classes Index​

structDLDevice

DLPack device descriptor: type + numeric ID. More...

structDLDataType

DLPack scalar dtype: code + bit width + SIMD lane count. More...

structDLTensor

DLPack non-owning tensor view: pointer + shape + strides + dtype + device. More...

structDLManagedTensor

DLPack managed tensor: owning wrapper that calls deleter on destruction. More...

Description​

Tensor dtype, axis semantics, layout token, and minimal DLPack-like structs.

This header defines the small enum vocabulary every tensor consumer needs: data type (TensorDType), per-axis semantic tag (TensorAxisSemantic, the long-term direction), legacy layout token (TensorLayout, transitional), plus minimal DLPack-shaped structs for zero-copy bridges to NumPy/PyTorch via the standard DLPack interchange format.

See Also

TensorCore.h for the Tensor struct that uses these

See Also

"TensorAxisSemantic" rationale (§0.10 of the design deep dive)

File Listing​

The file content with the documentation metadata removed is:

1
14#pragma once
15
16#include <cstdint>
17
18namespace simaai::neat {
19
28namespace dlpack {
29
31enum class DLDeviceType : int {
32 kDLCPU = 1,
33};
34
36struct DLDevice {
37 DLDeviceType device_type;
38 int device_id;
39};
40
42enum DLDataTypeCode : uint8_t {
43 kDLInt = 0,
44 kDLUInt = 1,
45 kDLFloat = 2,
46};
47
49struct DLDataType {
50 uint8_t code;
51 uint8_t bits;
52 uint16_t lanes;
53};
54
56struct DLTensor {
57 void* data;
58 DLDevice device;
59 int ndim;
60 DLDataType dtype;
61 int64_t* shape;
62 int64_t* strides;
63 uint64_t byte_offset;
64};
65
67struct DLManagedTensor {
68 DLTensor dl_tensor;
69 void* manager_ctx;
70 void (*deleter)(DLManagedTensor* self);
71};
72
73} // namespace dlpack
74
83enum class TensorDType {
84 UInt8,
85 Int8,
86 UInt16,
87 Int16,
88 Int32,
89 BFloat16,
90 Float32,
91 Float64,
92};
93
103enum class TensorAxisSemantic : uint8_t {
104 Unknown = 0,
105 N,
106 D,
107 H,
108 W,
109 C,
110};
111
122enum class TensorLayout {
123 Unknown = 0,
124 HWC,
125 CHW,
126 HW,
127};
128
129} // namespace simaai::neat

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