gamma-lab / buffet Goto Github PK

rasa-core 0.11.4 has requirement numpy~=1.15, but you'll have numpy 1.14.5 which is incompatible.

tensorflow 1.10.1 has requirement numpy<=1.14.5,>=1.13.3, but you'll have numpy 1.15.1 which is incompatible.

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RuntimeError                              Traceback (most recent call last)
<ipython-input-39-fee013fa6dac> in <module>()
      1 # load weights
----> 2 q_network.net.load_state_dict(torch.load('./checkpoints/q_network_weights'))

~/Documents/sandbox/buffet/rl_pacman_demo/venv/lib/python3.6/site-packages/torch/serialization.py in load(f, map_location, pickle_module)
    356         f = open(f, 'rb')
    357     try:
--> 358         return _load(f, map_location, pickle_module)
    359     finally:
    360         if new_fd:

~/Documents/sandbox/buffet/rl_pacman_demo/venv/lib/python3.6/site-packages/torch/serialization.py in _load(f, map_location, pickle_module)
    540     unpickler = pickle_module.Unpickler(f)
    541     unpickler.persistent_load = persistent_load
--> 542     result = unpickler.load()
    543 
    544     deserialized_storage_keys = pickle_module.load(f)

~/Documents/sandbox/buffet/rl_pacman_demo/venv/lib/python3.6/site-packages/torch/serialization.py in persistent_load(saved_id)
    506             if root_key not in deserialized_objects:
    507                 deserialized_objects[root_key] = restore_location(
--> 508                     data_type(size), location)
    509             storage = deserialized_objects[root_key]
    510             if view_metadata is not None:

~/Documents/sandbox/buffet/rl_pacman_demo/venv/lib/python3.6/site-packages/torch/serialization.py in default_restore_location(storage, location)
    102 def default_restore_location(storage, location):
    103     for _, _, fn in _package_registry:
--> 104         result = fn(storage, location)
    105         if result is not None:
    106             return result

~/Documents/sandbox/buffet/rl_pacman_demo/venv/lib/python3.6/site-packages/torch/serialization.py in _cuda_deserialize(obj, location)
     73 
     74         if not torch.cuda.is_available():
---> 75             raise RuntimeError('Attempting to deserialize object on a CUDA '
     76                                'device but torch.cuda.is_available() is False. '
     77                                'If you are running on a CPU-only machine, '

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location='cpu' to map your storages to the CPU.

# save weights
torch.save(q_network.net.state_dict(), './checkpoints/q_network_weights')

# load weights
q_network.net.load_state_dict(torch.load('./checkpoints/q_network_weights'))