Key errors are as follows:

RuntimeError:
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.

All error prompts are as follows:

// 
Traceback (most recent call last):
Traceback (most recent call last):
  File "main.py", line 19, in <module>
  File "<string>", line 1, in <module>
    t.train()
  File "c:\Paper Code\RCAN-master-Real\RCAN_TrainCode\code\trainer.py", line 45, in train
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\spawn.py", line 105, in spawn_main
    for batch, (lr, hr, _, idx_scale) in enumerate(self.loader_train):
  File "c:\Paper Code\RCAN-master-Real\RCAN_TrainCode\code\dataloader.py", line 144, in __iter__
    exitcode = _main(fd)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\spawn.py", line 225, in prepare
    return _MSDataLoaderIter(self)
  File "c:\Paper Code\RCAN-master-Real\RCAN_TrainCode\code\dataloader.py", line 117, in __init__
    _fixup_main_from_path(data['init_main_from_path'])
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    w.start()
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\process.py", line 105, in start
    run_name="__mp_main__")
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\runpy.py", line 263, in run_path
    self._popen = self._Popen(self)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\context.py", line 223, in _Popen
    pkg_name=pkg_name, script_name=fname)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\runpy.py", line 85, in _run_code
    return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\context.py", line 322, in _Popen
    exec(code, run_globals)
  File "c:\Paper Code\RCAN-master-Real\RCAN_TrainCode\code\main.py", line 19, in <module>
    t.train()
    return Popen(process_obj)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\popen_spawn_win32.py", line 65, in __init__
  File "c:\Paper Code\RCAN-master-Real\RCAN_TrainCode\code\trainer.py", line 45, in train
    for batch, (lr, hr, _, idx_scale) in enumerate(self.loader_train):
  File "c:\Paper Code\RCAN-master-Real\RCAN_TrainCode\code\dataloader.py", line 144, in __iter__
    reduction.dump(process_obj, to_child)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\reduction.py", line 60, in dump
    return _MSDataLoaderIter(self)
  File "c:\Paper Code\RCAN-master-Real\RCAN_TrainCode\code\dataloader.py", line 117, in __init__
    w.start()
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\process.py", line 105, in start
    ForkingPickler(file, protocol).dump(obj)
    self._popen = self._Popen(self)
BrokenPipeError: [Errno 32] Broken pipe
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\context.py", line 223, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
    prep_data = spawn.get_preparation_data(process_obj._name)
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
    _check_not_importing_main()
  File "C:\Anaconda3\envs\pytorch0.4.0\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
    is not going to be frozen to produce an executable.''')
RuntimeError:
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.

Original code:

    torch.manual_seed(args.seed)
    checkpoint = utility.checkpoint(args)

    if checkpoint.ok:
        loader = data.Data(args)
        model = model.Model(args, checkpoint)
        loss = loss.Loss(args, checkpoint) if not args.test_only else None
        t = Trainer(args, loader, model, loss, checkpoint)
        while not t.terminate():
            t.train()
            t.test()

        checkpoint.done()

After modification:

if __name__ == '__main__':
    torch.manual_seed(args.seed)
    checkpoint = utility.checkpoint(args)

    if checkpoint.ok:
        loader = data.Data(args)
        model = model.Model(args, checkpoint)
        loss = loss.Loss(args, checkpoint) if not args.test_only else None
        t = Trainer(args, loader, model, loss, checkpoint)
        while not t.terminate():
            t.train()
            t.test()

        checkpoint.done()

Run~~

Study notes.