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Walk-through on two kinds of graph transformations that PyTensor does, an eager one (building a graph immediately), and a lazy one (relying on rewrites to achieve it).
Thinking of:
Eager: gradient or vectorization
Lazy: shape inference
The text was updated successfully, but these errors were encountered:
Walk-through on two kinds of graph transformations that PyTensor does, an eager one (building a graph immediately), and a lazy one (relying on rewrites to achieve it).
Thinking of:
The text was updated successfully, but these errors were encountered: