updates
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				|  | @ -3,8 +3,8 @@ | |||
| # batch=1 | ||||
| # subdivisions=1 | ||||
| # Training | ||||
| batch=64 | ||||
| subdivisions=32 | ||||
| batch=16 | ||||
| subdivisions=8 | ||||
| width=608 | ||||
| height=608 | ||||
| channels=3 | ||||
|  |  | |||
|  | @ -26,7 +26,7 @@ def select_device(force_cpu=False): | |||
|         c = 1024 ** 2  # bytes to MB | ||||
|         ng = torch.cuda.device_count() | ||||
|         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)" % | ||||
|               (cuda_str, x[0].name, x[0].total_memory / c)) | ||||
|         if ng > 0: | ||||
|  |  | |||
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