> Traceback (most recent call last):


 "/home/error/venv_cir/lib/python3.6/site-packages/docker/api/client.py", line 261, in _raise_for_status

response.raise_for_status()


 "/home/error/venv_cir/lib/python3.6/site-packages/requests/models.py", line 941, in raise_for_status

raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: http+docker://localhost/v1.35/services/create

Traceback (most recent call last):


 "D:/learn software/PyCharm 2020.1.1/project/No_23_spektral/2_GAT引文节点预测V1.0.py", line 22, in <module>

transforms=[LayerPreprocess(GATConv), AdjToSpTensor()])


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\spektral\datasets\citation.py", line 48, in __init__

super().__init__(**kwargs)


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\spektral\data\dataset.py", line 112, in __init__

self.apply(t)


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\spektral\data\dataset.py", line 125, in apply

self.graphs[i] = transform(self.graphs[i])


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\spektral\transforms\adj_to_sp_tensor.py", line 10, in __call__

graph.a = sp_matrix_to_sp_tensor(graph.a)


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\spektral\layers\ops\sparse.py", line 19, in sp_matrix_to_sp_tensor

dense_shape=x.shape


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\tensorflow\python\framework\sparse_tensor.py", line 133, in __init__

values = ops.convert_to_tensor(values, name="values")


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\tensorflow\python\framework\ops.py", line 1499, in convert_to_tensor

ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\tensorflow\python\framework\tensor_conversion_registry.py", line 52, in _default_conversion_function

return constant_op.constant(value, dtype, name=name)


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\tensorflow\python\framework\constant_op.py", line 264, in constant

allow_broadcast=True)


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\tensorflow\python\framework\constant_op.py", line 275, in _constant_impl

return _constant_eager_impl(ctx, value, dtype, shape, verify_shape)


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\tensorflow\python\framework\constant_op.py", line 300, in _constant_eager_impl

t = convert_to_eager_tensor(value, ctx, dtype)


 "D:\learn software\anaconda3\envs\spektral_2\lib\site-packages\tensorflow\python\framework\constant_op.py", line 98, in convert_to_eager_tensor

return ops.EagerTensor(value, ctx.device_name, dtype)
ValueError: Failed to convert a NumPy array to a Tensor (Unsupported numpy type: NPY_INT).
