Comments (3)
Kinda got The algorithm working, but it's still a bit buggy. will work on it next week. Exam time.
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Will start trying to implement it again from tomorrow.
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Implemented axisOps
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Related Issues (17)
- Make Matrix Multiplication algorithm HOT 1
- Matmul is broken. HOT 4
- Incorporate GPU process sharing for faster processes and implement all the methods on typed arrays HOT 1
- Optimize The transpose method HOT 1
- Use faster methods for array operations HOT 1
- Use the prototype HOT 1
- max and min should return shaped arrays
- Simplify the api
- Implement convolution , padding and several other methods and provide flexibility like numpy HOT 2
- arrange is broken HOT 1
- transpose works only for 2d
- fixing broadcasting in product and sum and other operations HOT 1
- Product returns NaN HOT 1
- Unified method for sum and product HOT 2
- update the readme file, it is outdated to v0.2.4 HOT 1
- consider 1-d arrays with shape property of length 1 as 1d matrix HOT 1
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