torch_is_floating_point: Is_floating_point
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_is_floating_point R Documentation
Is_floating_point
Description
Is_floating_point
Usage
torch_is_floating_point(self)
Arguments
self
(Tensor) the PyTorch tensor to test
is_floating_point(input) -> (bool)
Returns TRUE if the data type of input is a floating point data type i.e.,
one of torch_float64, torch.float32 and torch.float16.
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/gen-namespace.R
| torch_is_floating_point | R Documentation |
Is_floating_point
Description
Is_floating_point
Usage
torch_is_floating_point(self)
Arguments
self |
(Tensor) the PyTorch tensor to test |
is_floating_point(input) -> (bool)
Returns TRUE if the data type of input is a floating point data type i.e.,
one of torch_float64, torch.float32 and torch.float16.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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