#####################
-def eingather(op, src, index):
+def eingather(op, src, *indexes):
s_src, s_dst = re.search("^([^ ]*) *-> *(.*)", op).groups()
- s_index = re.search("\(([^)]*)\)", s_src).group(1)
+ 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)
idx = []
-
- for i in range(index.dim()):
- v = s_index[i]
- j = s_dst.index(v)
- a = (
- torch.arange(index.size(i))
- .reshape((1,) * j + (-1,) + (1,) * (len(s_dst) - j - 1))
- .expand(shape)
- )
- idx.append(a)
-
- index = index[idx]
-
- idx = []
+ n_index = 0
for i in range(src.dim()):
v = s_src[i]
if v == "_":
+ index, s_index = indexes[n_index], s_indexes[n_index]
+ n_index += 1
+
+ sub_idx = []
+
+ for i in range(index.dim()):
+ v = s_index[i]
+ j = s_dst.index(v)
+ a = (
+ torch.arange(index.size(i))
+ .reshape((1,) * j + (-1,) + (1,) * (len(s_dst) - j - 1))
+ .expand(shape)
+ )
+ sub_idx.append(a)
+
+ index = index[sub_idx]
idx.append(index)
else:
j = s_dst.index(v)
#######################
-src = torch.rand(3, 5, 7, 11)
-index = torch.randint(src.size(2), (src.size(3), src.size(1), src.size(3)))
+src = torch.rand(3, 5, 7, 11, 13)
+index1 = torch.randint(src.size(2), (src.size(4), src.size(1), src.size(4)))
+index2 = torch.randint(src.size(3), (src.size(1),))
-# I want result[a,c,e]=src[c,a,index[e,a,e],e]
+# I want result[a, c, e] = src[c, a, index1[e, a, e], index2[a], e]
-result = eingather("ca(eae)e -> ace", src, index)
+result = eingather("ca(eae)(a)e -> 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, index[e, a, e], e]).abs()
+ error += (result[a, c, e] - src[c, a, index1[e, a, e], index2[a], e]).abs()
print(error.item())