forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
CPUGeneratorImpl.h
49 lines (40 loc) · 1.5 KB
/
CPUGeneratorImpl.h
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
#pragma once
#include <ATen/core/Generator.h>
#include <ATen/core/MT19937RNGEngine.h>
#include <c10/core/GeneratorImpl.h>
#include <c10/util/Optional.h>
namespace at {
struct TORCH_API CPUGeneratorImpl : public c10::GeneratorImpl {
// Constructors
CPUGeneratorImpl(uint64_t seed_in = default_rng_seed_val);
~CPUGeneratorImpl() override = default;
// CPUGeneratorImpl methods
std::shared_ptr<CPUGeneratorImpl> clone() const;
void set_current_seed(uint64_t seed) override;
void set_offset(uint64_t offset) override;
uint64_t get_offset() const override;
uint64_t current_seed() const override;
uint64_t seed() override;
void set_state(const c10::TensorImpl& new_state) override;
c10::intrusive_ptr<c10::TensorImpl> get_state() const override;
static c10::DeviceType device_type();
uint32_t random();
uint64_t random64();
c10::optional<float> next_float_normal_sample();
c10::optional<double> next_double_normal_sample();
void set_next_float_normal_sample(c10::optional<float> randn);
void set_next_double_normal_sample(c10::optional<double> randn);
at::mt19937 engine();
void set_engine(at::mt19937 engine);
private:
CPUGeneratorImpl* clone_impl() const override;
at::mt19937 engine_;
c10::optional<float> next_float_normal_sample_;
c10::optional<double> next_double_normal_sample_;
};
namespace detail {
TORCH_API const Generator& getDefaultCPUGenerator();
TORCH_API Generator
createCPUGenerator(uint64_t seed_val = default_rng_seed_val);
} // namespace detail
} // namespace at