s_indexes = re.findall("\(([^)]*)\)", s_src)
s_src = re.sub("\([^)]*\)", "_", s_src)
- shape = tuple(src.size(s_src.index(v)) for v in s_dst)
+ all_sizes = tuple(d for s in ( src, ) + indexes for d in s.size())
+ s_all = "".join([s_src] + s_indexes)
+ shape = tuple(all_sizes[s_all.index(v)] for v in s_dst)
idx = []
n_index = 0
#######################
-src = torch.rand(3, 5, 7, 11, 13)
-index1 = torch.randint(src.size(2), (src.size(4), src.size(1), src.size(4)))
+src = torch.rand(3, 5, 7, 11)
+index1 = torch.randint(src.size(2), (src.size(3), src.size(1), src.size(3)))
index2 = torch.randint(src.size(3), (src.size(1),))
# I want result[a, c, e] = src[c, a, index1[e, a, e], index2[a], e]
-result = eingather("ca(eae)(a)e -> ace", src, index1, index2)
+result = eingather("ca(eae)(a) -> ace", src, index1, index2)
# Check
for a in range(result.size(0)):
for c in range(result.size(1)):
for e in range(result.size(2)):
- error += (result[a, c, e] - src[c, a, index1[e, a, e], index2[a], e]).abs()
+ error += (result[a, c, e] - src[c, a, index1[e, a, e], index2[a]]).abs()
print(error.item())