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10 topics : torch where ?
When it comes to lighting up your way in the dark, a torch is an essential tool to have. Whether you’re camping, hiking, or just need a reliable source of light during a power outage, a torch can come in handy. However, with so many different types of torches available on the market, it can be challenging to choose the right one for your needs. In this article, we’ll take a closer look at the different types of torches available and help you choose the best one for your needs.
Types of Torches
There are several different types of torches available, each with its own unique features and benefits. Here are some of the most common types of torches:
1. LED Torches: LED torches are the most popular type of torches available today. They are energy-efficient, long-lasting, and produce a bright, white light. LED torches are available in a range of sizes and styles, from small keychain torches to large, powerful torches.
2. Incandescent Torches: Incandescent torches use a filament to produce light. They are less energy-efficient than LED torches and have a shorter lifespan. However, they produce a warm, yellow light that some people prefer.
3. Rechargeable Torches: Rechargeable torches are a great option if you want to save money on batteries. They can be charged using a USB cable or a wall charger and are available in both LED and incandescent models.
4. Tactical Torches: Tactical torches are designed for use in law enforcement and military applications. They are typically made from durable materials and are designed to be used in extreme conditions.
Choosing the Right Torch
When choosing a torch, there are several factors to consider. Here are some of the most important things to keep in mind:
1. Brightness: The brightness of a torch is measured in lumens. The higher the number of lumens, the brighter the torch will be. Consider how bright you need your torch to be based on your intended use.
2. Battery Life: If you plan to use your torch for extended periods, consider a torch with a longer battery life. LED torches typically have longer battery life than incandescent torches.
3. Size and Weight: Consider the size and weight of the torch, especially if you plan to carry it with you. Smaller torches are more portable, but larger torches may be more powerful.
4. Durability: If you plan to use your torch in extreme conditions, consider a torch made from durable materials such as aluminum or stainless steel.
Conclusion
Choosing the right torch can make all the difference when it comes to lighting up your way in the dark. Consider the different types of torches available and the factors to consider when choosing the right one for your needs. With the right torch, you’ll be able to navigate the dark with ease and confidence.
You are looking : torch where
10 torch where for reference
1.torch.where — PyTorch 2.0 documentation
- Author: torch.where
- Publish: 6 days ago
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Rating: 1
(1051 Rating)
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Highest rating: 5
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Lowest rating: 1
- Descriptions: Return a tensor of elements selected from either input or other , depending on condition . The operation is defined as:.
- More : Return a tensor of elements selected from either input or other , depending on condition . The operation is defined as:.
- Source : https://pytorch.org/docs/stable/generated/torch.where.html
(1051 Rating)
2.torch.Tensor.where — PyTorch 2.0 documentation
- Author: torch.Tensor.where
- Publish: 25 days ago
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Rating: 5(1299 Rating)
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Highest rating: 3
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Lowest rating: 2
- Descriptions: Built with Sphinx using a theme provided by Read the Docs. torch.Tensor.where. Docs.
- More : Built with Sphinx using a theme provided by Read the Docs. torch.Tensor.where. Docs.
- Source : https://pytorch.org/docs/stable/generated/torch.Tensor.where.html
3.Applying mask using torch.where function – PyTorch Forums
- Author: Applying
- Publish: 24 days ago
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Rating: 5(1547 Rating)
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Highest rating: 5
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Lowest rating: 2
- Descriptions:
- More :
- Source : https://discuss.pytorch.org/t/applying-mask-using-torch-where-function/133111
4.torch.argwhere — PyTorch 2.0 documentation
- Author: torch.argwhere
- Publish: 27 days ago
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Rating: 4(1827 Rating)
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Highest rating: 4
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Lowest rating: 1
- Descriptions: torch.argwhere … Returns a tensor containing the indices of all non-zero elements of input . Each row in the result contains the indices of a non-zero element …
- More : torch.argwhere … Returns a tensor containing the indices of all non-zero elements of input . Each row in the result contains the indices of a non-zero element …
- Source : https://pytorch.org/docs/stable/generated/torch.argwhere.html
5.torch.where to support Python scalars and type promotion #9190
- Author: torch.where
- Publish: 1 days ago
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Rating: 5(757 Rating)
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Highest rating: 3
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Lowest rating: 3
- Descriptions: a = torch.Tensor([1, 2, 3]) # works, correctly produces tensor([-1., 2., 3.]) b = torch.where(a == 1, torch.Tensor([-1]), a) # fails: TypeError: where(): …
- More : a = torch.Tensor([1, 2, 3]) # works, correctly produces tensor([-1., 2., 3.]) b = torch.where(a == 1, torch.Tensor([-1]), a) # fails: TypeError: where(): …
- Source : https://github.com/pytorch/pytorch/issues/9190
6.How to interpret torch.where() output when x , y are not given?
- Author: How
- Publish: 26 days ago
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Rating: 5(978 Rating)
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Highest rating: 5
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Lowest rating: 2
- Descriptions: This version of torch.where intend to return satisfying element indexes. print(f”Y={torch.where(x > 0)[0].numpy()}”) …
- More : This version of torch.where intend to return satisfying element indexes. print(f”Y={torch.where(x > 0)[0].numpy()}”) …
- Source : https://stackoverflow.com/questions/75181924/how-to-interpret-torch-where-output-when-x-y-are-not-given
7.Scalar type in torch.where? – Stack Overflow
- Author: Scalar
- Publish: 26 days ago
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Rating: 5(1087 Rating)
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Highest rating: 4
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Lowest rating: 2
- Descriptions: It’s not that torch doesn’t support float32 . It’s your system doesn’t provide an easy way to specify 0 as a float32 .
- More : It’s not that torch doesn’t support float32 . It’s your system doesn’t provide an easy way to specify 0 as a float32 .
- Source : https://stackoverflow.com/questions/66299149/scalar-type-in-torch-where
8.torch.where – AI研习社
- Author: torch.where
- Publish: 23 days ago
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Rating: 4(213 Rating)
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Highest rating: 4
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Lowest rating: 3
- Descriptions: The tensors condition , x , y must be broadcastable. Note. Currently valid scalar and tensor combination are 1. Scalar of floating dtype and torch.double 2.
- More : The tensors condition , x , y must be broadcastable. Note. Currently valid scalar and tensor combination are 1. Scalar of floating dtype and torch.double 2.
- Source : https://lib.yanxishe.com/document/PyTorch1-7-1/api/torch.where
9.Tensorrt unsupport torch.where() – NVIDIA Developer Forums
- Author: Tensorrt
- Publish: 23 days ago
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Rating: 1(918 Rating)
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Highest rating: 4
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Lowest rating: 2
- Descriptions: And I found it caused by torch.where(). Could you tell me how to fix it? Thanks a lot. AastaLLL February 20, 2023, 2:23am 3.
- More : And I found it caused by torch.where(). Could you tell me how to fix it? Thanks a lot. AastaLLL February 20, 2023, 2:23am 3.
- Source : https://forums.developer.nvidia.com/t/tensorrt-unsupport-torch-where/243272
10.Python Examples of torch.where – ProgramCreek.com
- Author: Python
- Publish: 11 days ago
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Rating: 4(380 Rating)
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Highest rating: 3
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Lowest rating: 2
- Descriptions: You may also want to check out all available functions/classes of the module torch , or try the search function . Example #1. Source File: smooth_l1_loss.py …
- More : You may also want to check out all available functions/classes of the module torch , or try the search function . Example #1. Source File: smooth_l1_loss.py …
- Source : https://www.programcreek.com/python/example/116125/torch.where
