forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
FillKernel.cpp
61 lines (52 loc) · 2.19 KB
/
FillKernel.cpp
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
#include <ATen/Dispatch.h>
#include <ATen/Parallel.h>
#include <ATen/cpu/vec/vec.h>
#include <ATen/cpu/vec/functional.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/cpu/Loops.h>
#include <ATen/native/Fill.h>
namespace at { namespace native {
namespace {
template <typename scalar_t>
void fill_non_native_type(TensorIterator& iter, const Scalar& value_scalar) {
auto value = value_scalar.to<scalar_t>().x;
using H = typename std::make_signed<decltype(value)>::type; // Signed type has more acceleration
// Reserve the representation of value. static_cast<H>(value) is implementation defined.
H val = *reinterpret_cast<H*>(std::addressof(value));
cpu_kernel_vec</*check_dynamic_cast=*/false>(
iter,
[val]() -> H { return val; },
[val]() { return Vectorized<H>(val); });
}
template <>
void fill_non_native_type<c10::complex<at::Half>>(TensorIterator& iter, const Scalar& value_scalar) {
static_assert(sizeof(c10::complex<at::Half>) == sizeof(int32_t), "Size of ComplexHalf should be 32-bits");
auto value = c10::complex<at::Half>(value_scalar.to<c10::complex<float>>());
auto val = *reinterpret_cast<int32_t*>(std::addressof(value));
cpu_kernel_vec</*check_dynamic_cast=*/false>(
iter,
[val]() -> int32_t { return val; },
[val]() { return Vectorized<int32_t>(val); });
}
void fill_kernel(TensorIterator& iter, const Scalar& value_scalar) {
if (iter.dtype() == ScalarType::Half) {
fill_non_native_type<at::Half>(iter, value_scalar);
} else if (iter.dtype() == ScalarType::BFloat16) {
fill_non_native_type<at::BFloat16>(iter, value_scalar);
} else if (iter.dtype() == ScalarType::ComplexHalf) {
fill_non_native_type<c10::complex<at::Half>>(iter, value_scalar);
} else {
AT_DISPATCH_ALL_TYPES_AND_COMPLEX_AND(at::ScalarType::Bool, iter.dtype(), "fill_cpu", [&]() {
scalar_t value = value_scalar.to<scalar_t>();
cpu_kernel_vec(
iter,
[=]() -> scalar_t { return value; },
[=]() { return Vectorized<scalar_t>(value); });
});
}
}
} // namespace
// NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)
REGISTER_DISPATCH(fill_stub, &fill_kernel);
} // namespace native
} // namespace at