# Module tensorflow::expr

source · ## Expand description

This module builds computation graphs.

This module is unfinished.

## Structs

- Expression resulting from adding two subexpressions.
- Expression that assigns a value to a variable.
- A
`Compiler`

compiles`Expr`

s to`Operation`

s. - Expression for a constant.
- Expression resulting from dividing two subexpressions.
- A operation in an expression tree, which is a thin wrapper around an ExprImpl.
- Expression resulting from multiplying two subexpressions.
- Expression resulting from negation of an expression.
- Expression for a placeholder.
- Expression resulting from taking a modulus.
- Expression resulting from subtracting two subexpressions.
- Expression that assigns a value to a variable.
- Expression for a variable.

## Enums

- Denotes operator precedence. Used for displaying expressions as strings.
- Enum of an expr’s possible shape states

## Traits

- An
`AnyExpr`

is just an`Expr<T>`

for some unknown`T`

. Clients*should not*implement this. - Trait implemented by all expression types. Most users will want to store an Expr instead.