| import unittest |
| from caffe2.python import convnet_benchmarks as cb |
| from caffe2.python import test_util, workspace |
| |
| |
| # TODO: investigate why this randomly core dump in ROCM CI |
| @unittest.skipIf(not workspace.has_cuda_support, "no cuda gpu") |
| class TestConvnetBenchmarks(test_util.TestCase): |
| def testConvnetBenchmarks(self): |
| all_args = [ |
| '--batch_size 16 --order NCHW --iterations 1 ' |
| '--warmup_iterations 1', |
| '--batch_size 16 --order NCHW --iterations 1 ' |
| '--warmup_iterations 1 --forward_only', |
| ] |
| for model in [cb.AlexNet, cb.OverFeat, cb.VGGA, cb.Inception]: |
| for arg_str in all_args: |
| args = cb.GetArgumentParser().parse_args(arg_str.split(' ')) |
| cb.Benchmark(model, args) |
| |
| |
| if __name__ == '__main__': |
| unittest.main() |