plutus-core-1.0.0.1: Language library for Plutus Core
Safe Haskell None
Language Haskell2010

PlutusCore.Evaluation.Machine.ExBudget

Description

Note [Budgeting units]

We use picoseconds for measuring times and words for measuring memory usage. Some care is required with time units because different units are used in different places.

  • The basic data for models of execution time is produced by Criterion benchmarks (run via plutus-core:cost-model-budgeting-bench) and saved in 'benching.csv'. At this point the time units are seconds.
  • The data in 'benching.csv' is used by plutus-core:update-cost-model to create cost-prediction models for the built-in functions, and data describing these is written to builtinCostModel.json. This process involves several steps:

    • The CostModelCreation module reads in the data from 'benching.csv' and runs R code in 'models.R' to fit linear models to the benchmark results for each builtin. This process (and its results) necessarily invloves the use of floating-point numbers.

    Builtin execution times are typically of the order of 10^(-6) or 10^(-7) seconds, and the benching data is converted to milliseconds in 'models.R' because it's sometimes useful to work with the data interactively and this makes the numbers a lot more human-readable.

    • The coefficents from the R models are returned to the Haskell code in CostModelCreation and written out to costModel.json. To avoid the use of floats in JSON and in cost prediction at runtime (which might be machine-dependent if floats were used), numbers are multiplied by 10^6 and rounded to the nearest integer, shfting from the millisecond scale to the picosecond scale. This rescaling is safe because all of our models are (currently) linear in their inputs.
  • When the Plutus Core evaluator is compiled, the JSON data in 'builtinCostModel.json' is read in and used to create the defaultCostModel object. This also includes information about the costs of basic CEK machine operations obtained from 'cekMachineCosts.json' (currently generated manually).
  • When the Plutus Core evaluator is run, the code in PlutusCore.Evaluation.Machine.BuiltinCostModel uses the data in defaultCostModel to create Haskell versions of the cost models which estimate the execution time of a built-in function given the sizes of its inputs. This (and the memory usage) are fed into a budgeting process which measures the ongoing resource consumption during script execution.

All budget calculations are (at least on 64-bit machines) done using the SatInt type which deals with overflow by truncating excessivly large values to the maximum SatInt value, 2^63-1. In picoseconds this is about 106 days, which should suffice for any code we expect to run. Memory budgeting is entirely in terms of machine words, and floating-point issues are irrelevant.

Some precision is lost during the conversion from R's floating-point models to the integral numbers used in the Haskell models. However, experimentation shows that the difference is very small. The tests in plutus-core: cost-model-test run the R models and the Haskell models with a large number of random inputs and check that they agree to within one part in 10,000, which is well within the accuracy we require for the cost model.

Synopsis

Documentation

data ExBudget Source #

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Eq ExBudget Source #
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Show ExBudget Source #
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Generic ExBudget Source #
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Semigroup ExBudget Source #
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Monoid ExBudget Source #
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ToJSON ExBudget Source #
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FromJSON ExBudget Source #
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NFData ExBudget Source #
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NoThunks ExBudget Source #
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Pretty ExBudget Source #
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Lift ExBudget Source #
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PrettyBy config ExBudget Source #
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type Rep ExBudget Source #
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type Rep ExBudget = D1 (' MetaData "ExBudget" "PlutusCore.Evaluation.Machine.ExBudget" "plutus-core-1.0.0.1-76bWF9ZEWyb4eDyjHx0kCS" ' False ) ( C1 (' MetaCons "ExBudget" ' PrefixI ' True ) ( S1 (' MetaSel (' Just "exBudgetCPU") ' NoSourceUnpackedness ' NoSourceStrictness ' DecidedStrict ) ( Rec0 ExCPU ) :*: S1 (' MetaSel (' Just "exBudgetMemory") ' NoSourceUnpackedness ' NoSourceStrictness ' DecidedStrict ) ( Rec0 ExMemory )))

minusExBudget :: ExBudget -> ExBudget -> ExBudget Source #

Subract one ExBudget from another. Does not guarantee that the result is positive.

class ExBudgetBuiltin fun exBudgetCat where Source #

A class for injecting a Builtin into an exBudgetCat . We need it, because the constant application machinery calls spendBudget before reducing a constant application and we want to be general over exBudgetCat there, but still track the built-in functions category, hence the ad hoc polymorphism.

Methods

exBudgetBuiltin :: fun -> exBudgetCat Source #

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ExBudgetBuiltin fun () Source #

A dummy ExBudgetBuiltin instance to be used in monads where we don't care about costing.

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Defined in PlutusCore.Evaluation.Machine.ExBudget

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exBudgetBuiltin :: fun -> () Source #

ExBudgetBuiltin fun ( ExBudgetCategory fun) Source #
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Defined in UntypedPlutusCore.Evaluation.Machine.Cek.Internal

newtype ExRestrictingBudget Source #

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Eq ExRestrictingBudget Source #
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Show ExRestrictingBudget Source #
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Semigroup ExRestrictingBudget Source #
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Monoid ExRestrictingBudget Source #
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NFData ExRestrictingBudget Source #
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Pretty ExRestrictingBudget Source #
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PrettyBy config ExRestrictingBudget Source #
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data LowerIntialCharacter Source #

This is used elsewhere to convert cost models into JSON objects where the names of the fields are exactly the same as the names of the builtins.

enormousBudget :: ExRestrictingBudget Source #

When we want to just evaluate the program we use the Restricting mode with an enormous budget, so that evaluation costs of on-chain budgeting are reflected accurately in benchmarks.