Christophe Guillon authored 9 months ago and Maxence Naud committed 9 months ago

Define a Tensor with undefined dims by explicitly setting mSize to 0.
Provide undefined() method which must be used instead of empty()
to test whether a Tensor as associated dimensions and can be used
for forwarding dimensions downward.
This disambiguates from defined scalar Tensor which actually have
empty dimensions, but size of 1.
Note that as soon as a Tensor with undefined dimensions is resized,
it's dimensions are permanently defined (though may still change).

This change solves issues in operators forwardDims() when
input values are scalar, i.e. !undefined() and empty().

- Fix datatype call
- Change 'DataType' to 'dtype' for Python interface

- [Add] Attributes: __str__(), __repr__() and dict() methods
- [Add] GraphView: __repr__(), __len__() methods
- [Add] Node: __repr__() method
- [Add] Operator: __repr__() method and attr property
- improve Tensor __str__ method if it is empty
- change DataType to lower case for python

- add Tensor operators +,-,*,/
- add __repr__ funciton to Tensor
- add operator constructor to each python binding
- fix identity_op Base class declaration in binding

- add Tensor operators +,-,*,/
- add __repr__ funciton to Tensor
- add operator constructor to each python binding
- fix identity_op Base class declaration in binding

Fix numpy -> tensor with latest tensorImpl changes (copyFromHost instead of setRawPtr) + Use of std::int32_t instead of in and std::int64_t instead of long to fit Data.hpp convention.

- Remove setInput in Node
- Change setDatatype to setDataType in GraphView and Tensor binding
- Add namespace comment
- Update Node includes
- Run forwardDims() only if operators use Tensors