v0.9.7

ExaModels v0.9.7

Diff since v0.9.6

Merged pull requests:

• Fixes #238 and #248: Support tuple itr in subexpr and constraint! (#249) (@michel2323)

Closed issues:

• Any efficient way for sparse matrix constraints? (#205)
• Tupled iterators not working for subexpressions (#238)

v0.9.6

ExaModels v0.9.6

Diff since v0.9.5

Merged pull requests:

• Fix min/max (#240) (@michel2323)

Closed issues:

• Generate derivative rules and add LinearAlgebra support (#224)

v0.9.5

ExaModels v0.9.5

Diff since v0.9.4

Merged pull requests:

• Derivative generation using Symbolics.jl (#225) (@michel2323)
• LinearAlgebra extension for ExaModels nodes (#230) (@michel2323)
• Cancel branch workflows after push on branch (#231) (@michel2323)
• Linalg ext (#232) (@jbcaillau)

v0.9.4

ExaModels v0.9.4

Diff since v0.9.3

Merged pull requests:

• Support subexpressions (#202) (@michel2323)
• Constraint start value clarification (#204) (@sshin23)
• WrapperNLPModel bug fix (#206) (@sshin23)
• Getting rid of synchronization (#207) (@sshin23)
• Add TwoStageExaModel for two-stage optimization (#210) (@michel2323)
• Fix indent in docstring (#211) (@blegat)
• Add docstring to Bin (#212) (@blegat)
• Typo fix: creat -> create (#213) (@blegat)
• Reenable oneAPI CI (#214) (@michel2323)
• TwoStageExaModel should be an AbstractNLPModel (#217) (@amontoison)
• Fix build badge and coverage (#218) (@michel2323)
• Fix maximization problems with KernelAbstractions (#219) (@frapac)
• AbstractExaModels (#220) (@sshin23)
• New two-stage API (#226) (@sshin23)
• Add support for MadNLP 0.9 (#227) (@frapac)

Closed issues:

• Expression support (#167)
• [doc] Start in constraint (#203)
• Documentation: parametric models (#208)
• New two-stage API (#221)

v0.9.3

ExaModels v0.9.3

Diff since v0.9.2

Merged pull requests:

• MOI interface fixes (#188) (@klamike)
• Typo fix: funcitons -> functions (#190) (@blegat)
• Support for ObjectiveSense (#191) (@blegat)
• Refactor CI to add backends (#193) (@michel2323)
• Use Runic CUDA.jl style (#195) (@michel2323)
• Track variable bounds for ExaModels.Optimizer (#200) (@klamike)
• Throws an error when legacy JuMP model is used (#201) (@sshin23)

Closed issues:

• Existing options keys (#196)
• ExaModelsMOI is ignoring the old nonlinear API (#198)
• ExaModels.Optimizer fails when variables have bounds (#199)

v0.9.2

ExaModels v0.9.2

Diff since v0.9.1

Merged pull requests:

• [documentation] Add a paragraph about other GPU backends (#183) (@amontoison)
• CompatHelper: bump compat for NLPModelsIpopt in [weakdeps] to 0.11, (keep existing compat) (#186) (@github-actions[bot])
• Update compat entries in Project.toml (#187) (@amontoison)

Closed issues:

• [documentation] Explain how to use ExaModels.jl on AMD and Intel GPUs (#182)
• Precompiling a model (#184)

v0.9.1

ExaModels v0.9.1

Diff since v0.9.0

Merged pull requests:

• Register docstring fixed (#175) (@sshin23)
• Fix nesting structs in generators. (#176) (@hfytr)
• Slight performance deterioration fixed (#177) (@sshin23)
• iterate defined for parindex as well (#178) (@sshin23)
• Bump ExaModels version to 0.9.1 (#180) (@sshin23)
• Potential fix for intel CI break (#181) (@sshin23)

Closed issues:

• Minor doc fix (bivariate function registration) (#174)

v0.9.0

ExaModels v0.9.0

Diff since v0.8.3

There are no breaking changes

New Features

• Support for struct data type (#160)
• OpenCL support with PoCL tests (#163)
• Format .jl files (#165)

Maintenance

• Update MOI extension (#155)

CI Improvement

• registry update added to ci (#162)

Bug Fixes

• Fix parameter-only gradients (#158)

Documentation

• lvar/uvar and lcon/ucon explained (#166)
• README simd explanation edit (#164)

Merged pull requests:

• Update MOI extension (#155) (@klamike)
• GPU dependencies reduced (#157) (@sshin23)
• Fix parameter-only gradients (#158) (@klamike)
• CompatHelper: bump compat for AMDGPU in [weakdeps] to 2, (keep existing compat) (#159) (@github-actions[bot])
• Support for struct data type (#160) (@sshin23)
• Registry update added to ci (#162) (@sshin23)
• OpenCL support with PoCL tests (#163) (@klamike)
• README simd explanation edit (#164) (@sshin23)
• [Documentation] lvar/uvar and lcon/ucon explained (#166) (@sshin23)
• CompatHelper: add new compat entry for OpenCL in [weakdeps] at version 0.10, (keep existing compat) (#168) (@github-actions[bot])
• Bump ExaModels.jl version to v0.9 (#171) (@sshin23)

Closed issues:

• document constraint bounds (#99)
• Unsafe use of MOI (#100)
• Documentation nits (#101)
• Extracting solution of decision variables (#128)
• ExaModels optimizer API for JuMP does not solve the correct model (#130)
• OpenCL support (#161)

v0.8.3

ExaModels v0.8.3

Diff since v0.8.2

Merged pull requests:

• Add parameters (#148) (@klamike)
• CUDA group added to ci runners (#149) (@sshin23)
• Self-hosted runners added (#150) (@sshin23)
• Drop buildkite CI (#152) (@sshin23)

Closed issues:

• Add support for model parameters in ExaModels (#147)

v0.8.2

ExaModels v0.8.2

Diff since v0.8.1

Merged pull requests:

• minor fix (?) in quadrotor example (#137) (@jbcaillau)
• GPU Implementation of hprod! for unconstrained (#140) (@sshin23)
• Empty sum handling for CPU (#142) (@sshin23)
• Bump ExaModels version to v0.8.2 (#144) (@sshin23)

Closed issues:

• Unconstrained hprod! fails with CuArray (#139)
• MadNLP fails to handle constraint over an empty set when running on CPU (#141)