1 #pragma once
2
3 #include <c10/core/Scalar.h>
4 #include <c10/util/BFloat16.h>
5 #include <c10/util/Half.h>
6 #include <torch/csrc/lazy/core/permutation_util.h>
7 #include <torch/csrc/lazy/core/shape.h>
8 #include <torch/csrc/lazy/core/util.h>
9
10 #include <complex>
11 #include <functional>
12 #include <optional>
13 #include <tuple>
14 #include <vector>
15
16 // TODO: Consolidate this file with util.h
17
18 namespace torch {
19 namespace lazy {
20
21 // Converts an iterable container to a vector of int64's.
22 template <typename S>
ToI64Vector(const S & input)23 static std::vector<int64_t> ToI64Vector(const S& input) {
24 return ToVector<int64_t>(input);
25 }
26
27 // Creates a set of dimension by dropping the drop_dims ones.
28 TORCH_API std::vector<int64_t> DropDimensions(
29 c10::ArrayRef<int64_t> sizes,
30 c10::ArrayRef<int64_t> drop_dims);
31
32 // Get the canonical dimension index in the [0, rank) interval. Negative
33 // indices are interpreted as follows: -1 is rank-1, -2 is rank-2 etc.
34 TORCH_API int64_t GetCanonicalDimensionIndex(int64_t dim, int64_t rank);
35
36 // Same as above, for multiple dimensions.
37 TORCH_API std::vector<int64_t> GetCanonicalDimensionIndices(
38 c10::ArrayRef<int64_t> dimensions,
39 int64_t rank);
40
41 // Returns the canonical position in the dim dimension, handling negative
42 // values for the position.
43 TORCH_API int64_t GetCanonicalPosition(
44 c10::ArrayRef<int64_t> dimensions,
45 int64_t dim,
46 int64_t pos);
47
48 // Creates a transposition from the given input and dimensions.
49 TORCH_API std::vector<int64_t> MakeTransposePermutation(
50 int64_t dim0,
51 int64_t dim1,
52 int64_t rank);
53
54 // Calculates the protomoted shape to which the input shapes should be
55 // broadcasted for an elementwise operation. The size of the common dimensions
56 // (2,3,4 for shape1, and 0,1,2 for shape2) must either match, or either one
57 // of the two be 1.
58 // Example:
59 // shape1 = [9, 7, 6, 1, 2]
60 // shape2 = [6, 5, 2]
61 // result_shape = [9, 7, 6, 5, 2]
62 TORCH_API std::vector<int64_t> GetPromotedShape(
63 c10::ArrayRef<int64_t> shape1_dims,
64 c10::ArrayRef<int64_t> shape2_dims);
65
66 TORCH_API Shape
67 GetPromotedBinaryOpShape(const Shape& shape1, const Shape& shape2);
68
69 TORCH_API std::vector<std::string> StrSplit(c10::string_view text, char delim);
70
71 } // namespace lazy
72 } // namespace torch
73