File: CMakeLists.txt

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 (85 lines) | stat: -rw-r--r-- 3,097 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
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
# ---[ GPU files
# ------[ cuDNN
if(USE_CUDNN)
  file(GLOB tmp *_cudnn.cc *_cudnn.cu)
  set(Caffe2_GPU_SRCS ${Caffe2_GPU_SRCS} ${tmp})
endif()
# ------[ general GPU
file(GLOB tmp *_gpu.cc)
set(Caffe2_GPU_SRCS ${Caffe2_GPU_SRCS} ${tmp})
# ------[ TensorRT
if(USE_TENSORRT)
file(GLOB tmp *_trt.cc)
set(Caffe2_GPU_SRCS ${Caffe2_GPU_SRCS} ${tmp})
endif()
# ------[ CUDA sources
file(GLOB tmp *.cu)
# Manually remove the cudnn files since we might be using USE_CUDNN=OFF
# TODO: when we move to explicit file list, this would not be needed.
file(GLOB tmp_cudnn *_cudnn.cu)
exclude(tmp "${tmp}" ${tmp_cudnn})
# Exclude top_k.cu and unique_ops.cu for separate compilation
file(GLOB tmp_w_sort_by_key "top_k.cu" "unique_ops.cu")
exclude(tmp "${tmp}" ${tmp_w_sort_by_key})

set(Caffe2_GPU_SRCS ${Caffe2_GPU_SRCS} ${tmp})
set(Caffe2_GPU_SRCS_W_SORT_BY_KEY ${Caffe2_GPU_SRCS_W_SORT_BY_KEY} ${tmp_w_sort_by_key})
# exclude test files
file(GLOB tmp *_test.cc)
exclude(Caffe2_GPU_SRCS "${Caffe2_GPU_SRCS}" ${tmp})

# ------[ general HIP
file(GLOB tmp hip/*.cc)
set(Caffe2_HIP_SRCS ${Caffe2_HIP_SRCS} ${tmp})
# ------[ HIP sources
file(GLOB tmp hip/*.hip)
set(Caffe2_HIP_SRCS ${Caffe2_HIP_SRCS} ${tmp})
# exclude test files
file(GLOB tmp hip/*_test.cc)
exclude(Caffe2_HIP_SRCS "${Caffe2_HIP_SRCS}" ${tmp})

# ---[ CPU files.
file(GLOB tmp *.cc)
# Manually remove the cudnn files since we might be using USE_CUDNN=OFF
# TODO: when we move to explicit file list, this would not be needed.
file(GLOB tmp_cudnn *_cudnn.cc)
exclude(tmp "${tmp}" ${tmp_cudnn})
set(Caffe2_CPU_SRCS ${Caffe2_CPU_SRCS} ${tmp})

set(Caffe2_CPU_SRCS ${Caffe2_CPU_SRCS} ${tmp})
# exclude test files and gpu files
file(GLOB tmp *_test.cc)
exclude(Caffe2_CPU_SRCS "${Caffe2_CPU_SRCS}" ${tmp})
exclude(Caffe2_CPU_SRCS "${Caffe2_CPU_SRCS}" ${Caffe2_GPU_SRCS} ${Caffe2_HIP_SRCS})

# ---[ GPU test files
# ------[ cuDNN
if(USE_CUDNN)
  file(GLOB tmp *_cudnn_test.cc)
  set(Caffe2_GPU_TEST_SRCS ${Caffe2_GPU_TEST_SRCS} ${tmp})
endif()
# ------[ general GPU
file(GLOB tmp *_gpu_test.cc)
set(Caffe2_GPU_TEST_SRCS ${Caffe2_GPU_TEST_SRCS} ${tmp})

# ---[ HIP test files
file(GLOB tmp hip/*_test.cc)
set(Caffe2_HIP_TEST_SRCS ${Caffe2_HIP_TEST_SRCS} ${tmp})

# ---[ CPU test files
file(GLOB tmp *_test.cc)
# Manually remove the cudnn files since we might be using USE_CUDNN=OFF
# TODO: when we move to explicit file list, this would not be needed.
file(GLOB tmp_cudnn *_cudnn_test.cc)
exclude(tmp "${tmp}" ${tmp_cudnn})
set(Caffe2_CPU_TEST_SRCS ${Caffe2_CPU_TEST_SRCS} ${tmp})
exclude(Caffe2_CPU_TEST_SRCS "${Caffe2_CPU_TEST_SRCS}" ${Caffe2_GPU_TEST_SRCS} ${Caffe2_HIP_TEST_SRCS})

# ---[ Send the lists to the parent scope.
set(Caffe2_CPU_SRCS ${Caffe2_CPU_SRCS} PARENT_SCOPE)
set(Caffe2_GPU_SRCS ${Caffe2_GPU_SRCS} PARENT_SCOPE)
set(Caffe2_GPU_SRCS_W_SORT_BY_KEY ${Caffe2_GPU_SRCS_W_SORT_BY_KEY} PARENT_SCOPE)
set(Caffe2_HIP_SRCS ${Caffe2_HIP_SRCS} PARENT_SCOPE)
set(Caffe2_CPU_TEST_SRCS ${Caffe2_CPU_TEST_SRCS} PARENT_SCOPE)
set(Caffe2_GPU_TEST_SRCS ${Caffe2_GPU_TEST_SRCS} PARENT_SCOPE)
set(Caffe2_HIP_TEST_SRCS ${Caffe2_HIP_TEST_SRCS} PARENT_SCOPE)