How to perform explicit broadcasting in dynet ?
- Dominant language
- C++
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Description
I have a batched input Tensor of shape : T * d * b where b is the batched dimension. I need to divide this by another Tensor : d * b . Function **cdiv** needs either the same dimension or unmatched dimension on the right. How can I manipulate tensors to perform this functionality?
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Research direction
No source files, tests, or entry points are named. Start by locating DyNet's cdiv tensor operation and its shape and broadcasting rules; clarify whether the expected outcome is an existing tensor manipulation or a new explicit-broadcasting capability, then verify handling of the stated T*d*b divided by d*b shapes.
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Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100