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Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Talented Tiger answered on October 11, 2022 Popularity 3/10 Helpfulness 2/10

answer Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

related Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 3/10 Helpfulness 2/10 Language python

Source: mylifeismymessage.net

Tags: capability cuda gpu python pytorch

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Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Closely Related Answers

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 4/10 Helpfulness 4/10 Language python

Source: mylifeismymessage.net

Tags: python capability gpu pytorch cuda

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Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 3/10 Helpfulness 3/10 Language python

Source: mylifeismymessage.net

Tags: cuda python capability pytorch gpu

Link to this answer
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Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 3/10 Helpfulness 2/10 Language python

Source: mylifeismymessage.net

Tags: capability gpu pytorch python cuda

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Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 2/10 Helpfulness 1/10 Language python

Source: mylifeismymessage.net

Tags: python cuda capability gpu pytorch

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Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 2/10 Helpfulness 1/10 Language python

Source: mylifeismymessage.net

Tags: gpu pytorch capability cuda python

Link to this answer
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Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 1/10 Helpfulness 1/10 Language python

Source: mylifeismymessage.net

Tags: capability cuda gpu python pytorch

Link to this answer
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Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 1/10 Helpfulness 1/10 Language python

Source: mylifeismymessage.net

Tags: python capability cuda pytorch gpu

Link to this answer
Share Copy Link

Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 2/10 Helpfulness 1/10 Language python

Source: mylifeismymessage.net

Tags: capability pytorch gpu cuda python

Link to this answer
Share Copy Link

Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Comment

<pre>from __future__ import print_function
import torch

x = torch.rand(5, 3)
print(x)

if not torch.cuda.is_available():
   print ("Cuda is available")
   device_id = torch.cuda.current_device()
   gpu_properties = torch.cuda.get_device_properties(device_id)
   print("Found %d GPUs available. Using GPU %d (%s) of compute capability %d.%d with "
          "%.1fGb total memory.\n" % 
          (torch.cuda.device_count(),
          device_id,
          gpu_properties.name,
          gpu_properties.major,
          gpu_properties.minor,
          gpu_properties.total_memory / 1e9))
else:    
   print ("Cuda is not available")
</pre>

Popularity 1/10 Helpfulness 1/10 Language python

Source: mylifeismymessage.net

Tags: capability cuda pytorch gpu python

Link to this answer
Share Copy Link

Contributed on Oct 11 2022

Talented Tiger

0 Answers Avg Quality 2/10

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

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Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

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Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

Python code to test PyTorch for CUDA GPU (NVIDIA card) capability

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