Mixing
How to multiply row-wise by scalar in pytorch?
When I have a tensor m of shape [12, 10] and a vector s of scalars with shape [12], how can I multiply each row of m with the corresponding scalar in s?
pytorch tensor scalar
edited Jan 1 at 6:18
Shai
70.2k23137246
asked Dec 31 '18 at 13:11
ChrisChris
400526
add a comment |
When I have a tensor m of shape [12, 10] and a vector s of scalars with shape [12], how can I multiply each row of m with the corresponding scalar in s?
pytorch tensor scalar
edited Jan 1 at 6:18
Shai
70.2k23137246
asked Dec 31 '18 at 13:11
ChrisChris
400526
add a comment |
When I have a tensor m of shape [12, 10] and a vector s of scalars with shape [12], how can I multiply each row of m with the corresponding scalar in s?
pytorch tensor scalar
edited Jan 1 at 6:18
Shai
70.2k23137246
asked Dec 31 '18 at 13:11
ChrisChris
400526
When I have a tensor m of shape [12, 10] and a vector s of scalars with shape [12], how can I multiply each row of m with the corresponding scalar in s?
pytorch tensor scalar
pytorch tensor scalar
edited Jan 1 at 6:18
Shai
70.2k23137246
asked Dec 31 '18 at 13:11
ChrisChris
400526
edited Jan 1 at 6:18
Shai
70.2k23137246
asked Dec 31 '18 at 13:11
ChrisChris
400526
edited Jan 1 at 6:18
Shai
70.2k23137246
edited Jan 1 at 6:18
Shai
70.2k23137246
edited Jan 1 at 6:18
Shai
70.2k23137246
70.2k23137246
asked Dec 31 '18 at 13:11
ChrisChris
400526
asked Dec 31 '18 at 13:11
ChrisChris
400526
asked Dec 31 '18 at 13:11
ChrisChris
400526
400526
add a comment |
add a comment |
1 Answer
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You need to add a corresponding singleton dimension:
m * s[:, None]
s[:, None] has size of (12, 1) when multiplying a (12, 10) tensor by a (12, 1) tensor pytoch knows to broadcast s along the second singleton dimension and perform the "element-wise" product correctly.
answered Dec 31 '18 at 14:29
ShaiShai
70.2k23137246
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You need to add a corresponding singleton dimension:
m * s[:, None]
s[:, None] has size of (12, 1) when multiplying a (12, 10) tensor by a (12, 1) tensor pytoch knows to broadcast s along the second singleton dimension and perform the "element-wise" product correctly.
answered Dec 31 '18 at 14:29
ShaiShai
70.2k23137246
add a comment |
You need to add a corresponding singleton dimension:
m * s[:, None]
s[:, None] has size of (12, 1) when multiplying a (12, 10) tensor by a (12, 1) tensor pytoch knows to broadcast s along the second singleton dimension and perform the "element-wise" product correctly.
answered Dec 31 '18 at 14:29
ShaiShai
70.2k23137246
add a comment |
You need to add a corresponding singleton dimension:
m * s[:, None]
s[:, None] has size of (12, 1) when multiplying a (12, 10) tensor by a (12, 1) tensor pytoch knows to broadcast s along the second singleton dimension and perform the "element-wise" product correctly.
answered Dec 31 '18 at 14:29
ShaiShai
70.2k23137246
You need to add a corresponding singleton dimension:
m * s[:, None]
s[:, None] has size of (12, 1) when multiplying a (12, 10) tensor by a (12, 1) tensor pytoch knows to broadcast s along the second singleton dimension and perform the "element-wise" product correctly.
answered Dec 31 '18 at 14:29
ShaiShai
70.2k23137246
answered Dec 31 '18 at 14:29
ShaiShai
70.2k23137246
answered Dec 31 '18 at 14:29
ShaiShai
70.2k23137246
answered Dec 31 '18 at 14:29
ShaiShai
70.2k23137246
70.2k23137246
add a comment |
add a comment |
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