File: elementwise_op_gpu_test.cc

package info (click to toggle)
pytorch 1.13.1%2Bdfsg-4
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 139,252 kB
  • sloc: cpp: 1,100,274; python: 706,454; ansic: 83,052; asm: 7,618; java: 3,273; sh: 2,841; javascript: 612; makefile: 323; xml: 269; ruby: 185; yacc: 144; objc: 68; lex: 44
file content (42 lines) | stat: -rw-r--r-- 975 bytes parent folder | download | duplicates (2)
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
#include "caffe2/operators/elementwise_op_test.h"

#include "caffe2/core/context_gpu.h"
#include "caffe2/core/flags.h"

C10_DECLARE_string(caffe_test_root);

template <>
void CopyVector<caffe2::CUDAContext>(const int N, const bool* x, bool* y) {
  CUDA_CHECK(cudaMemcpy(y, x, N * sizeof(bool), cudaMemcpyHostToDevice));
}

template <>
caffe2::OperatorDef CreateOperatorDef<caffe2::CUDAContext>() {
  caffe2::OperatorDef def;
  def.mutable_device_option()->set_device_type(caffe2::PROTO_CUDA);
  return def;
}

TEST(ElementwiseGPUTest, And) {
  if (!caffe2::HasCudaGPU())
    return;
  elementwiseAnd<caffe2::CUDAContext>();
}

TEST(ElementwiseGPUTest, Or) {
  if (!caffe2::HasCudaGPU())
    return;
  elementwiseOr<caffe2::CUDAContext>();
}

TEST(ElementwiseGPUTest, Xor) {
  if (!caffe2::HasCudaGPU())
    return;
  elementwiseXor<caffe2::CUDAContext>();
}

TEST(ElementwiseGPUTest, Not) {
  if (!caffe2::HasCudaGPU())
    return;
  elementwiseNot<caffe2::CUDAContext>();
}