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Hello, I followed the tutorial at https://github.com/deepchem/deepchem/blob/master/examples/notebooks/graph_convolutional_networks_for_tox21.ipynb to construct a graphconv model as shown below.
Minimum Failing Examples
with AttributeError: 'DiskDataset' object has no attribute 'shape'.
with TypeError: float() argument must be a string or a number, not 'ConvMol'.
with TypeError: Failed to convert object of type <class 'list'> to Tensor. Contents: [<tensorflow.python.framework.ops.IndexedSlices object at 0x7fbe46f66f28>]. Consider casting elements to a supported type.
I am out of ideas. I have the same problems when trying to make predictions with the model. What should the model's input look like?