1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
|
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_XLA_SERVICE_GPU_ELEMENTAL_IR_EMITTER_H_
#define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_ELEMENTAL_IR_EMITTER_H_
#include <functional>
#include <string>
#include <utility>
#include "llvm/IR/IRBuilder.h"
#include "llvm/IR/Value.h"
#include "tensorflow/compiler/xla/service/elemental_ir_emitter.h"
#include "tensorflow/compiler/xla/service/hlo_computation.h"
#include "tensorflow/compiler/xla/service/hlo_instruction.h"
#include "tensorflow/compiler/xla/service/hlo_module_config.h"
#include "tensorflow/compiler/xla/service/llvm_ir/loop_emitter.h"
#include "tensorflow/compiler/xla/statusor.h"
#include "tensorflow/compiler/xla/types.h"
#include "tensorflow/compiler/xla/xla_data.pb.h"
#include "tensorflow/core/lib/gtl/array_slice.h"
namespace xla {
namespace gpu {
class GpuElementalIrEmitter : public ElementalIrEmitter {
public:
// A NestedComputer computes an element of the output of the given computation
// given an ArraySlice of its input elements.
using NestedComputer = std::function<StatusOr<llvm::Value*>(
const HloComputation&, tensorflow::gtl::ArraySlice<llvm::Value*>)>;
GpuElementalIrEmitter(const HloModuleConfig& hlo_module_config,
llvm::Module* module, llvm::IRBuilder<>* ir_builder,
NestedComputer compute_nested);
llvm_ir::ElementGenerator MakeElementGenerator(
const HloInstruction* hlo,
const HloToElementGeneratorMap& operand_to_generator) const override;
protected:
StatusOr<llvm::Value*> EmitFloatUnaryOp(
const HloInstruction* op, llvm::Value* operand_value) const override;
StatusOr<llvm::Value*> EmitFloatBinaryOp(
const HloInstruction* op, llvm::Value* lhs_value,
llvm::Value* rhs_value) const override;
StatusOr<llvm::Value*> EmitErfcInv(PrimitiveType prim_type,
llvm::Value* value) const override;
StatusOr<llvm::Value*> EmitLog(PrimitiveType prim_type,
llvm::Value* value) const override;
StatusOr<llvm::Value*> EmitLog1p(PrimitiveType prim_type,
llvm::Value* value) const override;
StatusOr<llvm::Value*> EmitSin(PrimitiveType prim_type,
llvm::Value* value) const override;
StatusOr<llvm::Value*> EmitCos(PrimitiveType prim_type,
llvm::Value* value) const override;
StatusOr<llvm::Value*> EmitExp(PrimitiveType prim_type,
llvm::Value* value) const override;
StatusOr<llvm::Value*> EmitExpm1(PrimitiveType prim_type,
llvm::Value* value) const override;
StatusOr<llvm::Value*> EmitPow(PrimitiveType prim_type, llvm::Value* lhs,
llvm::Value* rhs) const override;
StatusOr<llvm::Value*> EmitAtan2(PrimitiveType prim_type, llvm::Value* lhs,
llvm::Value* rhs) const override;
llvm::Value* EmitThreadId() const override;
private:
// Emits IR for op, which must have opcode kPower.
StatusOr<llvm::Value*> EmitPowerOp(const HloInstruction* op,
llvm::Value* lhs_value,
llvm::Value* rhs_value) const;
// Emits IR to call a device function named "callee_name" on the given
// operand. Returns the IR value that represents the return value.
llvm::Value* EmitDeviceFunctionCall(
const string& callee_name,
tensorflow::gtl::ArraySlice<llvm::Value*> operands,
tensorflow::gtl::ArraySlice<PrimitiveType> input_type,
PrimitiveType output_type,
tensorflow::gtl::ArraySlice<llvm::Attribute::AttrKind> attributes) const;
// Emits IR to call an LLVM intrinsic of type [T] -> T. Adjusts
// callee_name according to T. Returns the IR value that represents the
// return value of the function.
StatusOr<llvm::Value*> EmitLlvmIntrinsicMathCall(
const string& callee_name,
tensorflow::gtl::ArraySlice<llvm::Value*> operands,
tensorflow::gtl::ArraySlice<PrimitiveType> input_types,
PrimitiveType output_type) const;
// Emits IR to call a libdevice function of type [T] -> T. Adjusts
// callee_name according to T. Returns the IR value that represents the
// return value of the function.
StatusOr<llvm::Value*> EmitLibdeviceMathCall(
const string& callee_name,
tensorflow::gtl::ArraySlice<llvm::Value*> operands,
tensorflow::gtl::ArraySlice<PrimitiveType> input_types,
PrimitiveType output_type) const;
// Emits IR to call a function of type [T] -> T. Does not munge callee_name.
// Returns the IR value that represents the return value of the function.
StatusOr<llvm::Value*> EmitMathCall(
const string& callee_name,
tensorflow::gtl::ArraySlice<llvm::Value*> operands,
tensorflow::gtl::ArraySlice<PrimitiveType> input_types,
PrimitiveType output_type) const;
const HloModuleConfig& hlo_module_config_;
NestedComputer compute_nested_;
};
} // namespace gpu
} // namespace xla
#endif // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_ELEMENTAL_IR_EMITTER_H_
|
