updates
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				|  | @ -3,8 +3,8 @@ | ||||||
| # batch=1 | # batch=1 | ||||||
| # subdivisions=1 | # subdivisions=1 | ||||||
| # Training | # Training | ||||||
| batch=64 | batch=16 | ||||||
| subdivisions=32 | subdivisions=8 | ||||||
| width=608 | width=608 | ||||||
| height=608 | height=608 | ||||||
| channels=3 | channels=3 | ||||||
|  |  | ||||||
|  | @ -26,7 +26,7 @@ def select_device(force_cpu=False): | ||||||
|         c = 1024 ** 2  # bytes to MB |         c = 1024 ** 2  # bytes to MB | ||||||
|         ng = torch.cuda.device_count() |         ng = torch.cuda.device_count() | ||||||
|         x = [torch.cuda.get_device_properties(i) for i in range(ng)] |         x = [torch.cuda.get_device_properties(i) for i in range(ng)] | ||||||
|         cuda_str = 'Using CUDA' + apex_str |         cuda_str = 'Using CUDA ' + apex_str | ||||||
|         print("%sdevice0 _CudaDeviceProperties(name='%s', total_memory=%dMB)" % |         print("%sdevice0 _CudaDeviceProperties(name='%s', total_memory=%dMB)" % | ||||||
|               (cuda_str, x[0].name, x[0].total_memory / c)) |               (cuda_str, x[0].name, x[0].total_memory / c)) | ||||||
|         if ng > 0: |         if ng > 0: | ||||||
|  |  | ||||||
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