Index

A

add() (in module smaug.math) add_input() (smaug.Node method) add_node() (in module smaug.python.ops.common) (smaug.Graph method)

add_output() (smaug.Node method) alignment() (smaug.Graph property)

B

backend() (smaug.Graph property) BahdanauAttention (class in smaug.nn)

batch_norm() (in module smaug.nn) BidirectionalLSTM (class in smaug.nn) broadcast_inputs() (in module smaug.python.ops.array_ops)

C

calc_padding() (smaug.Tensor method) check_and_add_layout_transform() (in module smaug.python.ops.array_ops) compute_score() (smaug.nn.BahdanauAttention method)

concat() (in module smaug.tensor) cond() (in module smaug) convolution() (in module smaug.nn) create_unique_name() (smaug.Graph method)

D

data_format() (smaug.Tensor property) data_type() (smaug.Tensor property)

dims() (smaug.Tensor method) disable_layout_transform() (smaug.Graph method)

E

elu() (in module smaug.nn)

enable_layout_transform() (smaug.Graph method) expand_dims() (in module smaug.tensor)

F

flatten() (in module smaug.tensor)

G

get_children() (smaug.Node method) get_node() (smaug.Graph method) get_nodes() (smaug.Graph method) get_parents() (smaug.Node method)

get_root_graph() (smaug.Graph method) Graph (class in smaug) greater() (in module smaug.math) greater_equal() (in module smaug.math)

H

hard_tanh() (in module smaug.nn)

I

input_data() (in module smaug)

inputs() (smaug.Node property)

L

layout_trans_enabled() (smaug.Graph property) less() (in module smaug.math)

less_equal() (in module smaug.math) lrelu() (in module smaug.nn) LSTM (class in smaug.nn)

M

mat_mul() (in module smaug.nn) max_pool() (in module smaug.nn) mem_policy() (smaug.Graph property) merge() (in module smaug) (smaug.Graph method)

module smaug smaug.python.ops mul() (in module smaug.math)

N

name() (smaug.Node property) (smaug.Tensor property)

Node (class in smaug)

O

op() (smaug.Node property)

outputs() (smaug.Node property)

P

prepare_states() (smaug.nn.LSTM method)

print_summary() (smaug.Graph method)

R

relu() (in module smaug.nn) reorder() (in module smaug.tensor)

repeat() (in module smaug.tensor) reshape() (in module smaug.tensor)

S

selu() (in module smaug.nn) shape() (smaug.Tensor property) sigmoid() (in module smaug.nn) smaug module smaug.python.ops module

softmax() (in module smaug.nn) source() (smaug.Tensor property) source_index() (smaug.Tensor property) split() (in module smaug.tensor) squeeze() (in module smaug.tensor) stack() (in module smaug.tensor) step() (smaug.nn.LSTM method) switch() (in module smaug)

T

tanh() (in module smaug.nn) targets() (smaug.Tensor property) Tensor (class in smaug)

tensor_data() (smaug.Tensor property) to_proto() (smaug.Graph method) (smaug.Node method) to_tensor_proto() (smaug.Tensor method)

U

unstack() (in module smaug.tensor)

update_input() (smaug.Node method)

W

write_graph() (smaug.Graph method)