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Recover tensor after tensor.view in pytorch
0
I have a tensor t of dimension [B, C, H, W]. I used view() to make it two dimensional and dumped it in some file.
tensor.view(B, -1)
Now during file reading, I want to recover the dumped tensor. How to recover that correctly?
python-3.x pytorch
asked Nov 20 '18 at 21:13
random_28random_28
728516
add a comment |
0
I have a tensor t of dimension [B, C, H, W]. I used view() to make it two dimensional and dumped it in some file.
tensor.view(B, -1)
Now during file reading, I want to recover the dumped tensor. How to recover that correctly?
python-3.x pytorch
asked Nov 20 '18 at 21:13
random_28random_28
728516
add a comment |
0
0
0
I have a tensor t of dimension [B, C, H, W]. I used view() to make it two dimensional and dumped it in some file.
tensor.view(B, -1)
Now during file reading, I want to recover the dumped tensor. How to recover that correctly?
python-3.x pytorch
asked Nov 20 '18 at 21:13
random_28random_28
728516
I have a tensor t of dimension [B, C, H, W]. I used view() to make it two dimensional and dumped it in some file.
tensor.view(B, -1)
Now during file reading, I want to recover the dumped tensor. How to recover that correctly?
python-3.x pytorch
python-3.x pytorch
asked Nov 20 '18 at 21:13
random_28random_28
728516
asked Nov 20 '18 at 21:13
random_28random_28
728516
edited Nov 20 '18 at 21:33
random_28
asked Nov 20 '18 at 21:13
random_28random_28
728516
asked Nov 20 '18 at 21:13
random_28random_28
728516
asked Nov 20 '18 at 21:13
random_28random_28
728516
728516
add a comment |
add a comment |
1 Answer
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oldest
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view only changes the sizes of the tensor, while the underlying content remains the same. You can switch that back such as below:
t=tensor.view(B,-1)
new_t = t.view(B,H,W,C)
answered Nov 20 '18 at 21:22
Jonathan GagneJonathan Gagne
2,1583721
The tensor I dump into some file and read from a different program. Although, I do know the initial dimensions.
– random_28
Nov 20 '18 at 21:34
There you go my friend, I would use that solution in order to restore you initialtensor.
– Jonathan Gagne
Nov 20 '18 at 21:53
Can u pls explain what's the need for permute ?
– random_28
Nov 20 '18 at 21:54
Permuteswitch the dimensions of the tensor to the he desired ordering of dimensions.
– Jonathan Gagne
Nov 20 '18 at 21:58
what if I just do t=tensor.view(B,-1) and then new_t = t.view(B,H,W,C). ?
– random_28
Nov 20 '18 at 22:01
|
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1 Answer
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active
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votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
view only changes the sizes of the tensor, while the underlying content remains the same. You can switch that back such as below:
t=tensor.view(B,-1)
new_t = t.view(B,H,W,C)
answered Nov 20 '18 at 21:22
Jonathan GagneJonathan Gagne
2,1583721
The tensor I dump into some file and read from a different program. Although, I do know the initial dimensions.
– random_28
Nov 20 '18 at 21:34
There you go my friend, I would use that solution in order to restore you initialtensor.
– Jonathan Gagne
Nov 20 '18 at 21:53
Can u pls explain what's the need for permute ?
– random_28
Nov 20 '18 at 21:54
Permuteswitch the dimensions of the tensor to the he desired ordering of dimensions.
– Jonathan Gagne
Nov 20 '18 at 21:58
what if I just do t=tensor.view(B,-1) and then new_t = t.view(B,H,W,C). ?
– random_28
Nov 20 '18 at 22:01
|
show 1 more comment
0
view only changes the sizes of the tensor, while the underlying content remains the same. You can switch that back such as below:
t=tensor.view(B,-1)
new_t = t.view(B,H,W,C)
answered Nov 20 '18 at 21:22
Jonathan GagneJonathan Gagne
2,1583721
The tensor I dump into some file and read from a different program. Although, I do know the initial dimensions.
– random_28
Nov 20 '18 at 21:34
There you go my friend, I would use that solution in order to restore you initialtensor.
– Jonathan Gagne
Nov 20 '18 at 21:53
Can u pls explain what's the need for permute ?
– random_28
Nov 20 '18 at 21:54
Permuteswitch the dimensions of the tensor to the he desired ordering of dimensions.
– Jonathan Gagne
Nov 20 '18 at 21:58
what if I just do t=tensor.view(B,-1) and then new_t = t.view(B,H,W,C). ?
– random_28
Nov 20 '18 at 22:01
|
show 1 more comment
0
0
0
view only changes the sizes of the tensor, while the underlying content remains the same. You can switch that back such as below:
t=tensor.view(B,-1)
new_t = t.view(B,H,W,C)
answered Nov 20 '18 at 21:22
Jonathan GagneJonathan Gagne
2,1583721
view only changes the sizes of the tensor, while the underlying content remains the same. You can switch that back such as below:
t=tensor.view(B,-1)
new_t = t.view(B,H,W,C)
answered Nov 20 '18 at 21:22
Jonathan GagneJonathan Gagne
2,1583721
edited Nov 20 '18 at 22:09
answered Nov 20 '18 at 21:22
Jonathan GagneJonathan Gagne
2,1583721
answered Nov 20 '18 at 21:22
Jonathan GagneJonathan Gagne
2,1583721
answered Nov 20 '18 at 21:22
Jonathan GagneJonathan Gagne
2,1583721
2,1583721
The tensor I dump into some file and read from a different program. Although, I do know the initial dimensions.
– random_28
Nov 20 '18 at 21:34
There you go my friend, I would use that solution in order to restore you initialtensor.
– Jonathan Gagne
Nov 20 '18 at 21:53
Can u pls explain what's the need for permute ?
– random_28
Nov 20 '18 at 21:54
Permuteswitch the dimensions of the tensor to the he desired ordering of dimensions.
– Jonathan Gagne
Nov 20 '18 at 21:58
what if I just do t=tensor.view(B,-1) and then new_t = t.view(B,H,W,C). ?
– random_28
Nov 20 '18 at 22:01
|
show 1 more comment
The tensor I dump into some file and read from a different program. Although, I do know the initial dimensions.
– random_28
Nov 20 '18 at 21:34
There you go my friend, I would use that solution in order to restore you initialtensor.
– Jonathan Gagne
Nov 20 '18 at 21:53
Can u pls explain what's the need for permute ?
– random_28
Nov 20 '18 at 21:54
Permuteswitch the dimensions of the tensor to the he desired ordering of dimensions.
– Jonathan Gagne
Nov 20 '18 at 21:58
what if I just do t=tensor.view(B,-1) and then new_t = t.view(B,H,W,C). ?
– random_28
Nov 20 '18 at 22:01
The tensor I dump into some file and read from a different program. Although, I do know the initial dimensions.
– random_28
Nov 20 '18 at 21:34
The tensor I dump into some file and read from a different program. Although, I do know the initial dimensions.
– random_28
Nov 20 '18 at 21:34
There you go my friend, I would use that solution in order to restore you initial
tensor.– Jonathan Gagne
Nov 20 '18 at 21:53
There you go my friend, I would use that solution in order to restore you initial
tensor.– Jonathan Gagne
Nov 20 '18 at 21:53
Can u pls explain what's the need for permute ?
– random_28
Nov 20 '18 at 21:54
Can u pls explain what's the need for permute ?
– random_28
Nov 20 '18 at 21:54
Permute switch the dimensions of the tensor to the he desired ordering of dimensions.– Jonathan Gagne
Nov 20 '18 at 21:58
Permute switch the dimensions of the tensor to the he desired ordering of dimensions.– Jonathan Gagne
Nov 20 '18 at 21:58
what if I just do t=tensor.view(B,-1) and then new_t = t.view(B,H,W,C). ?
– random_28
Nov 20 '18 at 22:01
what if I just do t=tensor.view(B,-1) and then new_t = t.view(B,H,W,C). ?
– random_28
Nov 20 '18 at 22:01
|
show 1 more comment
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