File: hip_test_util.py

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 (18 lines) | stat: -rw-r--r-- 405 bytes parent folder | download | duplicates (2) 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
 
## @package hip_test_util
# Module caffe2.python.hip_test_util
"""
The HIP test utils is a small addition on top of the hypothesis test utils
under caffe2/python, which allows one to more easily test HIP/ROCm related
operators.
"""






from caffe2.proto import caffe2_pb2

def run_in_hip(gc, dc):
    return (gc.device_type == caffe2_pb2.HIP) or (
        caffe2_pb2.HIP in {d.device_type for d in dc})