Index

B

backward() (jamgrad.Tensor method) (jamgrad.tensor.Tensor method), [1]

bias (jamgrad.nn.Linear attribute), [1]

C

cross_entropy_loss() (in module jamgrad.nn)

D

data (jamgrad.Tensor attribute), [1] (jamgrad.tensor.Tensor attribute), [1], [2]

E

exp() (jamgrad.Tensor method) (jamgrad.tensor.Tensor method), [1]

G

get_op_id() (in module jamgrad.tensor), [1] get_tensor_id() (in module jamgrad.tensor), [1] get_tensor_label() (in module jamgrad.tensor), [1]

grad (jamgrad.Tensor attribute), [1] (jamgrad.tensor.Tensor attribute), [1], [2] grad_fn (jamgrad.Tensor attribute), [1] (jamgrad.tensor.Tensor attribute), [1], [2]

J

jamgrad module jamgrad.nn module

jamgrad.tensor module, [1]

L

Linear (class in jamgrad.nn)

log() (jamgrad.Tensor method) (jamgrad.tensor.Tensor method), [1]

M

module jamgrad jamgrad.nn jamgrad.tensor, [1]

N

ndim (jamgrad.Tensor property) (jamgrad.tensor.Tensor property), [1]

P

parameters() (jamgrad.nn.Linear method)

R

relu() (in module jamgrad.nn)

requires_grad (jamgrad.Tensor attribute), [1] (jamgrad.tensor.Tensor attribute), [1], [2]

S

set_label() (jamgrad.Tensor method) (jamgrad.tensor.Tensor method), [1] shape (jamgrad.Tensor property) (jamgrad.tensor.Tensor property), [1]

softmax() (in module jamgrad.nn) sum() (jamgrad.Tensor method) (jamgrad.tensor.Tensor method), [1]

T

Tensor (class in jamgrad) (class in jamgrad.tensor), [1]

to_dot() (jamgrad.Tensor method) (jamgrad.tensor.Tensor method), [1] traverse() (in module jamgrad.tensor), [1]

W

weight (jamgrad.nn.Linear attribute), [1]