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I am trying to do something like this,
data = torch.autograd.Variable(torch.from_numpy(nd_array))
It comes under the type as Variable[torch.FloatTensor], But I need Variable[torch.cuda.FloatTensor] also I want to do this in pytorch version 0.3.0 which lacks few methods like to(device) or set_default_device
python numpy gpu pytorch autograd
asked Mar 28 at 12:30
Arjun SankarlalArjun Sankarlal
1161 silver badge9 bronze badges
add a comment
|
I am trying to do something like this,
data = torch.autograd.Variable(torch.from_numpy(nd_array))
It comes under the type as Variable[torch.FloatTensor], But I need Variable[torch.cuda.FloatTensor] also I want to do this in pytorch version 0.3.0 which lacks few methods like to(device) or set_default_device
python numpy gpu pytorch autograd
asked Mar 28 at 12:30
Arjun SankarlalArjun Sankarlal
1161 silver badge9 bronze badges
add a comment
|
I am trying to do something like this,
data = torch.autograd.Variable(torch.from_numpy(nd_array))
It comes under the type as Variable[torch.FloatTensor], But I need Variable[torch.cuda.FloatTensor] also I want to do this in pytorch version 0.3.0 which lacks few methods like to(device) or set_default_device
python numpy gpu pytorch autograd
asked Mar 28 at 12:30
Arjun SankarlalArjun Sankarlal
1161 silver badge9 bronze badges
I am trying to do something like this,
data = torch.autograd.Variable(torch.from_numpy(nd_array))
It comes under the type as Variable[torch.FloatTensor], But I need Variable[torch.cuda.FloatTensor] also I want to do this in pytorch version 0.3.0 which lacks few methods like to(device) or set_default_device
python numpy gpu pytorch autograd
python numpy gpu pytorch autograd
asked Mar 28 at 12:30
Arjun SankarlalArjun Sankarlal
1161 silver badge9 bronze badges
asked Mar 28 at 12:30
Arjun SankarlalArjun Sankarlal
1161 silver badge9 bronze badges
asked Mar 28 at 12:30
Arjun SankarlalArjun Sankarlal
1161 silver badge9 bronze badges
asked Mar 28 at 12:30
Arjun SankarlalArjun Sankarlal
1161 silver badge9 bronze badges
asked Mar 28 at 12:30
Arjun SankarlalArjun Sankarlal
1161 silver badge9 bronze badges
1161 silver badge9 bronze badges
add a comment
|
add a comment
|
1 Answer
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You can use cuda() method of your tensor.
If you'd like to use specific device you could go with context manager, e.g.
with torch.cuda.device(device_index):
t = torch.FloatTensor(1.).cuda()
For more specific information check documentation for version 0.3.0.
answered Mar 28 at 13:49
Szymon MaszkeSzymon Maszke
4,9482 gold badges7 silver badges32 bronze badges
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 can use cuda() method of your tensor.
If you'd like to use specific device you could go with context manager, e.g.
with torch.cuda.device(device_index):
t = torch.FloatTensor(1.).cuda()
For more specific information check documentation for version 0.3.0.
answered Mar 28 at 13:49
Szymon MaszkeSzymon Maszke
4,9482 gold badges7 silver badges32 bronze badges
add a comment
|
You can use cuda() method of your tensor.
If you'd like to use specific device you could go with context manager, e.g.
with torch.cuda.device(device_index):
t = torch.FloatTensor(1.).cuda()
For more specific information check documentation for version 0.3.0.
answered Mar 28 at 13:49
Szymon MaszkeSzymon Maszke
4,9482 gold badges7 silver badges32 bronze badges
add a comment
|
You can use cuda() method of your tensor.
If you'd like to use specific device you could go with context manager, e.g.
with torch.cuda.device(device_index):
t = torch.FloatTensor(1.).cuda()
For more specific information check documentation for version 0.3.0.
answered Mar 28 at 13:49
Szymon MaszkeSzymon Maszke
4,9482 gold badges7 silver badges32 bronze badges
You can use cuda() method of your tensor.
If you'd like to use specific device you could go with context manager, e.g.
with torch.cuda.device(device_index):
t = torch.FloatTensor(1.).cuda()
For more specific information check documentation for version 0.3.0.
answered Mar 28 at 13:49
Szymon MaszkeSzymon Maszke
4,9482 gold badges7 silver badges32 bronze badges
answered Mar 28 at 13:49
Szymon MaszkeSzymon Maszke
4,9482 gold badges7 silver badges32 bronze badges
answered Mar 28 at 13:49
Szymon MaszkeSzymon Maszke
4,9482 gold badges7 silver badges32 bronze badges
answered Mar 28 at 13:49
Szymon MaszkeSzymon Maszke
4,9482 gold badges7 silver badges32 bronze badges
4,9482 gold badges7 silver badges32 bronze badges
add a comment
|
add a comment
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