def dw_fun(out, bf, vg, grad, idx, fmode):
cc = nm.ascontiguousarray
bft = cc(nm.tile(bf, (out.shape[0], 1, 1, 1)))
if fmode == 0:
status = terms.mulATB_integrate(out, bft,
cc(grad[..., idx:idx+1, :]), vg)
else:
status = terms.mulATB_integrate(out, bft,
cc(vg.bfg[:,:,idx:(idx + 1),:]), vg)
return status
def dw_fun(out, val, mat, bf, vg, fmode):
if fmode == 0:
status = terms.mulATB_integrate(out, vg.bfg, mat * val, vg)
elif fmode == 1:
status = terms.mulATB_integrate(out, bf * mat, val, vg)
elif fmode == 2:
status = terms.mulATB_integrate(out, vg.bfg, mat * bf, vg)
elif fmode == 3:
status = terms.mulATB_integrate(out, mat * bf, vg.bfg, vg)
return status
def dw_fun(out, val, mat, bf, vg, fmode):
if fmode == 0:
status = terms.mulATB_integrate(out, vg.bfg, mat * val, vg)
elif fmode == 1:
status = terms.mulATB_integrate(out, bf * mat, val, vg)
elif fmode == 2:
status = terms.mulATB_integrate(out, vg.bfg, mat * bf, vg)
elif fmode == 3:
status = terms.mulATB_integrate(out, mat * bf, vg.bfg, vg)
return status
def dw_fun(out, bf, vg, idx):
cc = nm.ascontiguousarray
bft = cc(nm.tile(bf, (out.shape[0], 1, 1, 1)))
status = terms.mulATB_integrate(out, bft,
cc(vg.bfg[:,:,idx:(idx + 1),:]), vg)
return status
