Module tensorflow::expr

This module builds computation graphs.

This module is unfinished.

Structs

• Add
  Expression resulting from adding two subexpressions.
• Assign
  Expression that assigns a value to a variable.
• Compiler
  A Compiler compiles Exprs to Operations.
• Constant
  Expression for a constant.
• Div
  Expression resulting from dividing two subexpressions.
• Expr
  A operation in an expression tree, which is a thin wrapper around an ExprImpl.
• Mul
  Expression resulting from multiplying two subexpressions.
• Neg
  Expression resulting from negation of an expression.
• Placeholder
  Expression for a placeholder.
• Rem
  Expression resulting from taking a modulus.
• Sub
  Expression resulting from subtracting two subexpressions.
• TruncateDiv
  Expression that assigns a value to a variable.
• Variable
  Expression for a variable.

Enums

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

Traits

• AnyExpr
  An AnyExpr is just an Expr<T> for some unknown T. Clients should not implement this.
• ExprImpl
  Trait implemented by all expression types. Most users will want to store an Expr instead.