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Diffstat (limited to 'chapters/core/implementation/02-interaction-rules.tex')
| -rw-r--r-- | chapters/core/implementation/02-interaction-rules.tex | 43 |
1 files changed, 25 insertions, 18 deletions
diff --git a/chapters/core/implementation/02-interaction-rules.tex b/chapters/core/implementation/02-interaction-rules.tex index 84dc27b..b657ee9 100644 --- a/chapters/core/implementation/02-interaction-rules.tex +++ b/chapters/core/implementation/02-interaction-rules.tex @@ -1,9 +1,7 @@ \subsection{Interaction Rules} \label{sec:interaction-rules} -This subsection contains the definition of the agents and the interaction rules that implement the symbolic simplification. - -The agents, illustrated in \textbf{\Cref{fig:agents}}, can be categorized into three groups: +The agents, illustrated in \textbf{\Cref{fig:agents}}, can be categorized into four groups: \begin{itemize} \item \textbf{Carriers}: Agents that contain float attributes. @@ -30,12 +28,12 @@ The agents, illustrated in \textbf{\Cref{fig:agents}}, can be categorized into t \item \textbf{Materialize}: Converts a Linear agent into an explicit representation for the SMT solver. \end{itemize} \item - \textbf{Inerts}: Agents that will compose the normal form. + \textbf{Inerts}: Agents that compose the normal form. \begin{itemize} - \item \textbf{TermAdd}: This agent that will be parsed as addition for the SMT solver. - \item \textbf{TermMul}: This agent that will be parsed as multiplication for the SMT solver. - \item \textbf{TermReLU}: This agent that will be parsed as rectified linear unit for the SMT solver. - \item \textbf{Symbolic}: This agent that will be parsed as specific variable for the SMT solver. + \item \textbf{TermAdd}: This agent is parsed as addition for the SMT solver. + \item \textbf{TermMul}: This agent is parsed as multiplication for the SMT solver. + \item \textbf{TermReLU}: This agent is parsed as rectified linear unit for the SMT solver. + \item \textbf{Symbolic}: This agent is parsed as specific variable for the SMT solver. \end{itemize} \end{itemize} @@ -172,11 +170,12 @@ The agents, illustrated in \textbf{\Cref{fig:agents}}, can be categorized into t \label{fig:agents} \end{figure} +\paragraph{Linear with Add/Mul} The \textit{Linear} carrier agent interacts directly with the \textit{Add} and \textit{Mul} operators agents as illustrated in \textbf{\Cref{fig:rule-linear-add}} and \textbf{\Cref{fig:rule-linear-mul}}. Because interactions are local, the binary -operators need to check one operator at the time. For this reason \textit{Add} and \textit{Mul} gets replaced by +operators need to check one operand a time. For this reason \textit{Add} and \textit{Mul} agents are replaced by \textit{AddCheckLinear} and \textit{MulCheckLinear} intermediate agents that carry the attributes $q$ and $r$ and their -principal port is faced toward the other operand. +principal port faces the other operand. % Linear >< Add \begin{figure}[ht] @@ -222,12 +221,13 @@ principal port is faced toward the other operand. \label{fig:rule-linear-mul} \end{figure} +\paragraph{Concrete with Add/Mul} The same logic is applied to the \textit{Concrete} carrier agent, but here analyzing the attribute $k$ enables short-circuiting. In \textbf{\Cref{fig:rule-concrete-add}} we can see that when summing a \textit{Concrete} with $k=0$ we do not need to check the other operand and we simply wire it to the output. This rewiring is also implemented when multiplying a \textit{Concrete} with $k=1$, as shown in \textbf{\Cref{fig:rule-concrete-mul}}, with the addition that when $k=0$ the other operand is deleted -before is even invoked. +before it is even invoked. % Concrete >< Add \begin{figure}[ht] @@ -325,11 +325,13 @@ before is even invoked. \label{fig:rule-concrete-mul} \end{figure} +\paragraph{Linear with AddCheckLinear/MulCheckLinear} If both operands are \textit{Linear} agents they need to be materialized before being wrapped in another \textit{Linear} to allow further simplification. This is done because multiplying two linear packets gives a non-linear result. -While adding two linear packets gives a linear result, it depends on two free variables and the \textit{Linear} agent -only supports one. A solution to this could be storing a dictionay of variables instead of a single one. +While adding two linear packets gives a linear result, it depends on two free variables and the +\textit{Linear} agent only supports keeping track of one; consequently, the addition of two linear packets +results in their materialization. This is illustrated in \textbf{\Cref{fig:rule-linear-addchecklinear}} and \textbf{\Cref{fig:rule-linear-mulchecklinear}} where the result of the materialization is passed to a TermAdd or TermMul, for Add and Mul respectively, and then to a \textit{Linear} with attributes @@ -475,10 +477,11 @@ $q=1,r=0$. \label{fig:rule-linear-mulchecklinear} \end{figure} -Instead if the first operand is a \textit{Linear} agents and the second is a \textit{Concrete} agent different rules are applied. -In the case of addition (\textbf{\Cref{fig:rule-concrete-addchecklinear}}) we add the attribute of the \textit{Concrete} -agent to the attribute that represents the constant of the \textit{Linear} agent. -For multiplication (\textbf{\Cref{fig:rule-concrete-mulchecklinear}}) we multiply the attribute of +\paragraph{Concrete with AddCheckLinear/MulCheckLinear} +If, instead, the first operand is a \textit{Linear} agents and the second is a \textit{Concrete} agent different rules +are applied. In the case of addition (\textbf{\Cref{fig:rule-concrete-addchecklinear}}) the system adds the +attribute of the \textit{Concrete} agent to the attribute that represents the constant of the \textit{Linear} agent. +For multiplication (\textbf{\Cref{fig:rule-concrete-mulchecklinear}}) the system multiplies the attribute of the \textit{Concrete} agent to both the attributes of the \textit{Linear} % Concrete >< AddCheckLinear @@ -521,6 +524,7 @@ the \textit{Concrete} agent to both the attributes of the \textit{Linear} \label{fig:rule-concrete-mulchecklinear} \end{figure} +\paragraph{Linear with AddCheckConcrete/MulCheckConcrete} In the rules shown in \textbf{\Cref{fig:rule-linear-addcheckconcrete}} and \textbf{\Cref{fig:rule-linear-mulcheckconcrete}} we follow the exact same logic except the first operand is a \textit{Concrete} and the second is a \textit{Linear}. @@ -564,6 +568,7 @@ we follow the exact same logic except the first operand is a \textit{Concrete} a \label{fig:rule-linear-mulcheckconcrete} \end{figure} +\paragraph{Concrete with AddCheckConcrete/MulCheckConcrete} Finally if both operands are \textit{Concrete} agents they are either merged into a single \textit{Concrete} or short-circuited as illustrated in \textbf{\Cref{fig:rule-concrete-addcheckconcrete}} and \textbf{\Cref{fig:rule-concrete-mulcheckconcrete}} following a similar logic to the previous rules. @@ -653,6 +658,7 @@ or short-circuited as illustrated in \textbf{\Cref{fig:rule-concrete-addcheckcon \label{fig:rule-concrete-mulcheckconcrete} \end{figure} +\paragraph{Linear/Concrete with ReLU} When the \textit{Linear} carrier agent interacts with the \textit{ReLU} operator agents there is no enough information to perform any simplification so, as shown in \textbf{\Cref{fig:rule-linear-relu}}, the agent is just materialized, passed to a \textit{TermReLU} and then wrapped in a \textit{Linear}. @@ -722,7 +728,8 @@ if $k>0$ or with attribute equal $0$ otherwise. \label{fig:rule-concrete-relu} \end{figure} -When a \textit{Linear} is materialized it will explicitly build an AST using \textit{TermAdd} and \textit{TermMul} +\paragraph{Linear/Concrete with Materialize} +When a \textit{Linear} is materialized it explicitly build an AST using \textit{TermAdd} and \textit{TermMul} to recreate $q*x+r$ as shown in \textbf{\Cref{fig:rule-linear-materialize}}. When a \textit{Concrete} needs to be materialized nothing needs to be done and it is directly wired to output \textbf{\Cref{fig:rule-concrete-materialize}}. |
