package torch

You can search for identifiers within the package.

in-package search v0.2.0

torch
- Torch
  - Checkpointing
  - Cifar_helper
  - Cuda
  - Dataset_helper
  - Device
  - Ivalue
  - Layer
    
    Gru
    
    Lstm
  - Mnist_helper
  - Module
  - Optimizer
    
    Clip_grad
    
    Linear_interpolation
  - Scalar
  - Serialize
  - Tensor
  - Text_helper
  - Var_store
    
    Init
    
    Tensor_id
torch.core
- Torch_core
  - Device
  - Kind
  - Reduction
  - Torch_bindings
    
    C
    
    Cuda
    
    Ivalue
    
    Module
    
    Optimizer
    
    Scalar
    
    Serialize
    
    Tensor
    
    TensorG
  - Torch_bindings_generated
    
    C
  - Torch_generated
  - Wrapper
    
    Cuda
    
    Ivalue
    
    Tag
    
    Module
    
    Optimizer
    
    Scalar
    
    Serialize
    
    Tensor
  - Wrapper_generated
    
    C
    
    Cuda
    
    Ivalue
    
    Module
    
    Optimizer
    
    Scalar
    
    Serialize
    
    Tensor
    
    TensorG
  - Wrapper_generated_intf
    
    S
torch.toplevel
- Torch_toplevel
torch.vision
- Torch_vision
  - Alexnet
  - Densenet
  - Efficientnet
  - Image
    
    Loader
  - Imagenet
    
    Classes
    
    Loader
  - Inception
  - Mobilenet
  - Resnet
  - Squeezenet
  - Stb_image
  - Stb_image_write
  - Vgg

Legend:
Library
Module
Module type
Parameter
Class
Class type

type t

val create : (float * float) list -> t

create vs creates a linear interpolation function using vs as knots. vs is a list of pairs (x, y), has to be sorted by x and cannot have two elements with the same x.

val eval : t -> float -> float

eval t x returns the linear interpolation value of t at x. If t was built from (x1, y1) to (xn, yn). If x is below x1, the returned value is y1. If x is above xn, the returned value is yn. If x is between too knots, linear interpolation is used.