Enable ParallelExecutor in SSD-MobileNet and Refine code. #832
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chengduoZH
reviewed
Apr 12, 2018
| batch_size, | ||
| num_passes, | ||
| model_save_dir, | ||
| pretrained_model=None): |
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parallel_do need have an argument to define using nccl or not. The default value does not use nccl.
fluid/object_detection/train.py
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| return os.path.exists(os.path.join(pretrained_model, var.name)) | ||
| fluid.io.load_vars(exe, pretrained_model, predicate=if_exist) | ||
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| train_exe = fluid.ParallelExecutor(use_cuda=True, loss_name=loss.name) |
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line 218 and line 227 is not consistent, currently ParallelExecutor only allows to use GPU.
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Here change use_cuda=arg.use_gpu. Thanks!
| for _, data in enumerate(test_reader()): | ||
| test_map = exe.run(test_program, | ||
| feed=feeder.feed(data), | ||
| fetch_list=[accum_map]) |
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exe.run is not the format of parallel_exe.
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The testing use Executor, not ParallelExecutor.
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