# Gromov Wassrerstein (GW) wity L2 loss
res = ot.solve_gromov(Ca, Cb) # uniform weights
res = ot.solve_gromov(Ca, Cb, a=a, b=b) # given weights

# GW with KL loss
res = ot.solve_gromov(Ca, Cb, loss='KL') # uniform weights

# Fused Gromov-Wassertsein (FGW)
res = ot.solve_gromov(Ca, Cb, M, alpha=0.5) # uniform weights
res = ot.solve_gromov(Ca, Cb, M, a=a, b=b, alpha=0.1) # given weights

# GW and FGW with entropy reg
res = ot.solve_gromov(Ca, Cb, reg=1) # GW
res = ot.solve_gromov(Ca, Cb, M, reg=1, alpha=0.5) # FGW

# Semirelaxed GW and FGW
res=ot.solve_gromov(Ca, Cb, unbalanced_type='semirelaxed') # GW
res=ot.solve_gromov(Ca, Cb, M, unbalanced_type='semirelaxed') # FGW

# partial GW
res=ot.solve_gromov(Ca, Cb,unbalanced=0.8, unbalanced_type='partial') # partial GW with m=0.8 of mass transported

#results can be obtained from OTResult() as
res.plan # OT plan
res.value # optimal loss (all objective with regularization is present)
res.value_quad # quadratic (GW) part of the loss
res.value_linear # linear (W) part of the loss for FGW