forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
MkldnnTensorMath.cpp
48 lines (35 loc) · 990 Bytes
/
MkldnnTensorMath.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
#include <ATen/ATen.h>
#include <ATen/Config.h>
#include <ATen/NativeFunctions.h>
#include <ATen/Parallel.h>
#include <ATen/cpu/vec/functional.h>
#include <ATen/cpu/vec/vec.h>
#if !AT_MKLDNN_ENABLED()
namespace at {
namespace native {
Tensor& mkldnn_zero_(Tensor& self) {
TORCH_CHECK(false, "mkldnn_zero_: ATen not compiled with MKLDNN support");
}
} // namespace native
} // namespace at
#else // AT_MKLDNN_ENABLED
#include <ATen/native/mkldnn/MKLDNNCommon.h>
namespace at {
namespace native {
Tensor& mkldnn_zero_(Tensor& self) {
using Vec = vec::Vectorized<float>;
ideep::tensor& x = itensor_from_mkldnn(self);
auto n = x.get_nelems();
auto* x_ = static_cast<float*>(x.get_data_handle());
parallel_for(0, n, 2048, [x_](int64_t begin, int64_t end) {
vec::map(
[](Vec /* unused */) { return 0.0; },
x_ + begin,
x_ + begin,
end - begin);
});
return self;
}
} // namespace native
} // namespace at
#endif // AT_MKLDNN_ENABLED