1 //===- TensorSpec.cpp - tensor type abstraction ---------------------------===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 //
9 // Implementation file for the abstraction of a tensor type, and JSON loading
10 // utils.
11 //
12 //===----------------------------------------------------------------------===//
13 #include "llvm/ADT/STLExtras.h"
14 #include "llvm/Config/config.h"
15
16 #include "llvm/ADT/StringExtras.h"
17 #include "llvm/ADT/Twine.h"
18 #include "llvm/Analysis/TensorSpec.h"
19 #include "llvm/Support/CommandLine.h"
20 #include "llvm/Support/Debug.h"
21 #include "llvm/Support/JSON.h"
22 #include "llvm/Support/ManagedStatic.h"
23 #include "llvm/Support/raw_ostream.h"
24 #include <array>
25 #include <cassert>
26 #include <numeric>
27
28 using namespace llvm;
29
30 namespace llvm {
31
32 #define TFUTILS_GETDATATYPE_IMPL(T, E) \
33 template <> TensorType TensorSpec::getDataType<T>() { return TensorType::E; }
34
SUPPORTED_TENSOR_TYPES(TFUTILS_GETDATATYPE_IMPL)35 SUPPORTED_TENSOR_TYPES(TFUTILS_GETDATATYPE_IMPL)
36
37 #undef TFUTILS_GETDATATYPE_IMPL
38
39 static std::array<std::string, static_cast<size_t>(TensorType::Total)>
40 TensorTypeNames{"INVALID",
41 #define TFUTILS_GETNAME_IMPL(T, _) #T,
42 SUPPORTED_TENSOR_TYPES(TFUTILS_GETNAME_IMPL)
43 #undef TFUTILS_GETNAME_IMPL
44 };
45
toString(TensorType TT)46 StringRef toString(TensorType TT) {
47 return TensorTypeNames[static_cast<size_t>(TT)];
48 }
49
toJSON(json::OStream & OS) const50 void TensorSpec::toJSON(json::OStream &OS) const {
51 OS.object([&]() {
52 OS.attribute("name", name());
53 OS.attribute("type", toString(type()));
54 OS.attribute("port", port());
55 OS.attributeArray("shape", [&]() {
56 for (size_t D : shape())
57 OS.value(static_cast<int64_t>(D));
58 });
59 });
60 }
61
TensorSpec(const std::string & Name,int Port,TensorType Type,size_t ElementSize,const std::vector<int64_t> & Shape)62 TensorSpec::TensorSpec(const std::string &Name, int Port, TensorType Type,
63 size_t ElementSize, const std::vector<int64_t> &Shape)
64 : Name(Name), Port(Port), Type(Type), Shape(Shape),
65 ElementCount(std::accumulate(Shape.begin(), Shape.end(), 1,
66 std::multiplies<int64_t>())),
67 ElementSize(ElementSize) {}
68
getTensorSpecFromJSON(LLVMContext & Ctx,const json::Value & Value)69 std::optional<TensorSpec> getTensorSpecFromJSON(LLVMContext &Ctx,
70 const json::Value &Value) {
71 auto EmitError =
72 [&](const llvm::Twine &Message) -> std::optional<TensorSpec> {
73 std::string S;
74 llvm::raw_string_ostream OS(S);
75 OS << Value;
76 Ctx.emitError("Unable to parse JSON Value as spec (" + Message + "): " + S);
77 return std::nullopt;
78 };
79 // FIXME: accept a Path as a parameter, and use it for error reporting.
80 json::Path::Root Root("tensor_spec");
81 json::ObjectMapper Mapper(Value, Root);
82 if (!Mapper)
83 return EmitError("Value is not a dict");
84
85 std::string TensorName;
86 int TensorPort = -1;
87 std::string TensorType;
88 std::vector<int64_t> TensorShape;
89
90 if (!Mapper.map<std::string>("name", TensorName))
91 return EmitError("'name' property not present or not a string");
92 if (!Mapper.map<std::string>("type", TensorType))
93 return EmitError("'type' property not present or not a string");
94 if (!Mapper.map<int>("port", TensorPort))
95 return EmitError("'port' property not present or not an int");
96 if (!Mapper.map<std::vector<int64_t>>("shape", TensorShape))
97 return EmitError("'shape' property not present or not an int array");
98
99 #define PARSE_TYPE(T, E) \
100 if (TensorType == #T) \
101 return TensorSpec::createSpec<T>(TensorName, TensorShape, TensorPort);
102 SUPPORTED_TENSOR_TYPES(PARSE_TYPE)
103 #undef PARSE_TYPE
104 return std::nullopt;
105 }
106
tensorValueToString(const char * Buffer,const TensorSpec & Spec)107 std::string tensorValueToString(const char *Buffer, const TensorSpec &Spec) {
108 switch (Spec.type()) {
109 #define _IMR_DBG_PRINTER(T, N) \
110 case TensorType::N: { \
111 const T *TypedBuff = reinterpret_cast<const T *>(Buffer); \
112 auto R = llvm::make_range(TypedBuff, TypedBuff + Spec.getElementCount()); \
113 return llvm::join( \
114 llvm::map_range(R, [](T V) { return std::to_string(V); }), ","); \
115 }
116 SUPPORTED_TENSOR_TYPES(_IMR_DBG_PRINTER)
117 #undef _IMR_DBG_PRINTER
118 case TensorType::Total:
119 case TensorType::Invalid:
120 llvm_unreachable("invalid tensor type");
121 }
122 // To appease warnings about not all control paths returning a value.
123 return "";
124 }
125
126 } // namespace llvm
127