rowrank is modified after slicing #397
Description
Example code
UT = cytnx.UniTensor.ones([2,3,4]).set_rowrank(2)
UT.print_diagram()
print(UT.rowrank())
UT[:,:,2:4].print_diagram()
print(UT[1,:,:].rowrank())
-----------------------
tensor Name :
tensor Rank : 3
block_form : False
is_diag : False
on device : cytnx device: CPU
---------
/ \
0 ____| 2 4 |____ 2
| |
1 ____| 3 |
\ /
---------
2
-----------------------
tensor Name :
tensor Rank : 3
block_form : False
is_diag : False
on device : cytnx device: CPU
--------
/ \
| 2 |____ 0
| |
| 3 |____ 1
| |
| 2 |____ 2
\ /
--------
0
We need to have a consistent way to do this.
One possibility is
- Don't modify rank.
- Reduce the dim in shape, but dim>=1.
- (D1, D2, D3) -->slcing--> (Dp1, Dp2, Dp3) where Di >= Dpi >=1.