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.buildkite/pipeline.yml

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env:
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SECRET_CODECOV_TOKEN: "fbSN+ZbScLIWr1FOpAu1Z8PYWFobqbLGFayOgZE1ebhE8LIH/PILGXUMcdm9gkXVSwgdETDD0s33k14lBkJ90O4dV9w6k79F/pEgzVHV8baMoXZG03BPMxztlcoRXrKtRtAp+MwoATc3Ldb9H5vqgAnVNn5rhn4Rp0Z6LOVRC43hbhKBBKYh/N4gqpIQlcW4dBXmELhlnMFnUILjwGRVgEt/zh8H+vmf0qiIulNIQ/rfGISROHqFML0QDL4icloiqX08J76ZP/gZCeg6rJ0gl3ok3IspNPz51rlbvijqsPNyIHWi29OrAtWX3qKHfrAOoGIrE1d5Oy4wx4XaN/YBhg==;U2FsdGVkX188gcRjkUNMEC2Z5fEFfhsYY4WJbhhINOuCUgqq9XNHVDbJhzFUFVQ+UiuPHFg7CW/gn+3IkSVyOA=="
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SECRET_DOCUMENTER_KEY: "nIiMZCYpVq7ZJVZiSxS/xj1bqHWro1+5b2iq1cQluCDYEdWQc1QQu/PxfXUEaYYCj+1ZRQZabXv8Zqz2zdACeBT3btVgVf3EnWENJOK0BnP0XYpK/q1ARP1skexBIq3xokggvOcgf7n6JO3uuIwIQfbZK4oV7Cam92tJHmplUhbJdtAa63DlwzRgw4Ti5Brydl1QcIK4oX9PJmg1T/nybGFGD+IOtvaqUtxUJ9mlQhzfwITqFEyLI6ZpzAgzjQ84akiaz4ClHbpJSOZHR3ljSYkbrDiQA0Z2Cj9MZ84ApfNdA8SFIp66hnhkBEleX4g2bOFBX7FcZDT898roq1en9Q==;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"
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SECRET_DOCUMENTER_KEY: "jzyAET5IdazYwPAEZAmYmnBALb2dC1GPizCDCdt8xpjIi4ce6QbGGJMKo00ZNzJ/A7ii4bhqysVPXniifFwIGl7x+GSCeavwcSr15pfxJSqPuQYLKxESzIo+SM+l2uJWUz8KYMJ1tSt/Z3Up3qQfLeQFtR+f43b9QrLfhgZGAAdxpwu5VHdI3Xm/gZo5d8xEJ1xs4gqVP0e2A5EFr/j/exaWJL9+AvgO+Gko8NaJGG5B89zP1W2NBlpjttbwzj2naBhDx8A43Qe4eXm+BZd9CIZImiEJnnqoGxLkAyLDksbA68getUHW5z3nGyhWTrg5yfRqq0uyZZGTIOFz6dJrRg==;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"

docs/Project.toml

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DocumenterCitations = "daee34ce-89f3-4625-b898-19384cb65244"
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Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
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LuxCUDA = "d0bbae9a-e099-4d5b-a835-1c6931763bda"
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MLDataUtils = "cc2ba9b6-d476-5e6d-8eaf-a92d5412d41d"
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MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
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NonlinearSolve = "8913a72c-1f9b-4ce2-8d82-65094dcecaec"
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Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
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OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
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OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
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[compat]

docs/src/tutorials/basic_mnist_deq.md

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```@example basic_mnist_deq
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using DeepEquilibriumNetworks, SciMLSensitivity, Lux, NonlinearSolve, OrdinaryDiffEq,
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Statistics, Random, Optimization, OptimizationOptimisers
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using LuxCUDA
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Statistics, Random, Optimization, OptimizationOptimisers, LuxCUDA
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using MLDatasets: MNIST
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using MLDataUtils: LabelEnc, convertlabel, stratifiedobs
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