Python dm_env_spec示例

示例#1

 def action_spec(self):
     """Implements dm_env.Environment.action_spec."""
     action_spec = dm_env_utils.dm_env_spec(self._action_specs)
     if self._nested_tensors:
         return dm_env_flatten_utils.unflatten_dict(action_spec,
                                                    DEFAULT_KEY_SEPARATOR)
     else:
         return action_spec

示例#2

    def test_spec(self):
        dm_env_rpc_specs = {
            54:
            dm_env_rpc_pb2.TensorSpec(name='fuzz',
                                      shape=[3],
                                      dtype=dm_env_rpc_pb2.DataType.FLOAT),
            55:
            dm_env_rpc_pb2.TensorSpec(name='foo',
                                      shape=[2],
                                      dtype=dm_env_rpc_pb2.DataType.INT32),
        }
        manager = spec_manager.SpecManager(dm_env_rpc_specs)

        expected = {
            'foo': specs.Array(shape=[2], dtype=np.int32),
            'fuzz': specs.Array(shape=[3], dtype=np.float32)
        }

        self.assertDictEqual(expected, dm_env_utils.dm_env_spec(manager))

示例#3

 def test_empty_spec(self):
     self.assertDictEqual({},
                          dm_env_utils.dm_env_spec(
                              spec_manager.SpecManager({})))

示例#4

文件： dm_env_adaptor.py 项目： hengyuan-hu/dm_env_rpc

 def action_spec(self):
   """Implements dm_env.Environment.action_spec."""
   return dm_env_utils.dm_env_spec(self._action_specs)