repo stringclasses 350
values | file_path stringlengths 29 200 | language stringclasses 2
values | file_type stringclasses 4
values | code stringlengths 2 1.01M | tokens int64 2 598k |
|---|---|---|---|---|---|
imezx/Gradien | imezx-Gradien-362b9bc/src/State.luau | luau | .luau | --!native
--!optimize 2
local Types = require("./Types")
local Util = require("./Util")
local State = {}
local assert = Util.Assert
local function mapParamsToIndices(params: { Types.Tensor }): { [Types.Tensor]: string }
local map = {}
for i, p in params do
map[p] = `{i}`
end
return map
end
--@param params { Ty... | 1,195 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Tensor.luau | luau | .luau | --!native
--!optimize 2
local Tensor = {}
local Util = require("./Util")
local Types = require("./Types")
local Tape -- lazy-load
export type Tensor = Types.Tensor
local sizeFromShape = Util.sizeFromShape
local assert = Util.Assert
local sqrt = math.sqrt
local log = math.log
local cos = math.cos
local sin = math.si... | 3,662 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Trainer.luau | luau | .luau | --!native
--!optimize 2
local Tape = require("./autograd/Tape")
local Types = require("./Types")
local Losses = require("./nn/Losses")
local Metrics = require("./Metrics")
local Util = require("./Util")
local Trainer = {}
Trainer.__index = Trainer
local assert = Util.Assert
local function asArrayCallbacks(raw: Types... | 1,961 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Types.luau | luau | .luau | --!strict
export type Shape = { number }
export type Storage = { number }
export type Tensor = {
_storage: Storage,
_shape: Shape,
_requiresGrad: boolean,
_size: number,
_strides: { number }?,
_parents: { Tensor }?,
_backprop: ((grad: Tensor) -> ())?,
_grad: Tensor?,
}
export type Module<TIn = Tensor, TOut = ... | 926 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/Anomaly.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local Anomaly = {}
function Anomaly.hasBadValues(t: Types.Tensor)
for i = 1, #t._storage do
local v = t._storage[i]
if v ~= v or v == math.huge or v == -math.huge then
return true
end
end
return false
end
function Anomaly.hasNaN(t: Types.Tensor)
for... | 205 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/Assert.luau | luau | .luau | --!optimize 2
--@Eternity_Devs
return function<T>(condition: T, errorMessage: string, level: number?): T
if not (condition :: any) then
error(errorMessage, level or 2)
end
return condition
end
| 58 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/Buffer/Dedicated.luau | luau | .luau | --!native
--!native
--!optimize 2
--@Eternity_Devs
--from Warp lib
local DedicatedBuffer = {}
local default: { [string]: number } = {
point = 0,
next = 0,
size = 128,
bufferSize = 128,
}
local function copyMethod(self: any, offset: number, b: buffer?, src: buffer?, srcOffset: number?, count: number?)
if not b th... | 2,081 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/Buffer/init.luau | luau | .luau | --!native
--!native
--!optimize 2
--@Eternity_Devs
--from Warp lib & extended
local Buffer = {}
Buffer.__index = Buffer
local Dedicated = require("@self/Dedicated")
local function readValue(b: buffer, position: number, ref: { any }?): (any, number)
local typeByte = buffer.readi8(b, position)
position += 1
if typeB... | 1,568 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/GradStats.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local GradStats = {}
local function stats(t: Types.Tensor): (number, number, number, number)
local n = #t._storage
if n == 0 then
return 0, 0, 0, 0
end
task.desynchronize()
local minv, maxv = math.huge, -math.huge
local sum, sumsq = 0, 0
for i = 1, n d... | 350 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/Hooks.luau | luau | .luau | --!optimize 2
local Hooks = {}
function Hooks.addForwardHook(module, fn)
local orig = module.forward
module.___fwd = orig
module.forward = function(self, ...)
local out = orig(self, ...)
fn(self, out)
return out
end
end
function Hooks.removeForwardHook(module)
if module.___fwd then
module.forward = modul... | 103 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/ModelStats.luau | luau | .luau | --!native
--!optimize 2
local function count(model): (number, number)
local ps = model:parameters()
local total, bytes = 0, 0
task.desynchronize()
for i = 1, #ps do
local t = ps[i]
local n = #t._storage
total += n
bytes += n * 8 -- 8 bytes
end
task.synchronize()
return total, bytes
end
local function fm... | 252 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/Parallel.luau | luau | .luau | --!native
--!optimize 2
local Parallel = {}
function Parallel.with(fn: () -> ...any): ...any
task.desynchronize()
local res = { fn() }
task.synchronize()
return table.unpack(res)
end
function Parallel.withSafe(fn: () -> ...any): (boolean, ...any)
task.desynchronize()
local res = { pcall(fn) }
task.synchronize()
... | 93 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/Profiler.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local assert = require("./Assert")
local Profiler = {}
local fmt = string.format
local stats: { [string]: Types.Stat } = {}
local stack: { Types.Marker } = {}
local enabled: boolean = true
local function ensureStat(name: string): Types.Stat
local stat = stat... | 2,081 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/RNG.luau | luau | .luau | --!native
--!optimize 2
local RNG = {}
local _rng = Random.new()
function RNG.seed(s: number)
_rng = Random.new(math.floor(s))
return s
end
function RNG.uniform(a: number?, b: number?, rng: Random?)
a = a or 0
b = b or 1
return (rng or _rng):NextNumber(a, b)
end
function RNG.randint(lo: number, hi: number, rng:... | 241 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/RunningNorm.luau | luau | .luau | --!native
--!optimize 2
local function update(self, x: number)
self.n += 1
local d = x - self.mean
self.mean += d / self.n
self.m2 += d * (x - self.mean)
end
local function var(self): number
if self.n < 2 then
return 1.0
end
return self.m2 / (self.n - 1)
end
local function std(self): number
return math.sqrt... | 210 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/Visual3D.luau | luau | .luau | --!native
--!optimize 2
local Visual3D = {}
local Workspace = game:GetService("Workspace")
local RunService = game:GetService("RunService")
local HttpService = game:GetService("HttpService")
local Types = require("../Types")
type Tensor = Types.Tensor
type Module = Types.Module
export type RenderOptions = {
layerS... | 4,295 |
imezx/Gradien | imezx-Gradien-362b9bc/src/Util/init.luau | luau | .luau | --!native
--!optimize 2
local Util = {}
local Types = require("./Types")
local function isModule(m: any): boolean
return type(m) == "table" and type(m.forward) == "function" and type(m.parameters) == "function"
end
local function applyRecursive(m: any, fn: (any) -> ())
if isModule(m) then
fn(m)
end
if type(m) =... | 485 |
imezx/Gradien | imezx-Gradien-362b9bc/src/autograd/Tape.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local BLAS = require("../ops/BLAS")
local Types = require("../Types")
local Tape = {}
local gradEnabled = true
local function withTape(t: Types.Tensor, parents: { Types.Tensor }, back: (grad: Types.Tensor) -> ()): Types.Tensor
if not gradEnabled then
t._pa... | 1,370 |
imezx/Gradien | imezx-Gradien-362b9bc/src/classic/ElasticNet.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Losses = require("../nn/Losses")
local Linear = require("../nn/Linear")
local Adam = require("../optim/Adam")
-- ElasticNet: MSE + lambda1 * ||W||_1 + lambda2 * ||W||_2^2
-- lambda1 controls L1 sparsity (Lasso), ... | 739 |
imezx/Gradien | imezx-Gradien-362b9bc/src/classic/GaussianNB.luau | luau | .luau | --!native
--!optimize 2
local Util = require("../Util")
local assert = Util.Assert
return function(C: number)
local mu = {}
local var = {}
local prior = table.create(C, 0)
local fitted = false
local self
self = {
fit = function(_, X, y: { number })
local D, N = X._shape[1], X._shape[2]
task.desynchronize... | 678 |
imezx/Gradien | imezx-Gradien-362b9bc/src/classic/KMeans.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Util = require("../Util")
local assert = Util.Assert
return function(K: number, iters: number)
iters = iters or 20
local centers: any = nil
local function initPlusPlus(X)
local D, N = X._shape[1], X._shape[2]
local C = Tensor.zeros({ D, K })
lo... | 1,035 |
imezx/Gradien | imezx-Gradien-362b9bc/src/classic/KNN.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local Util = require("../Util")
local assert = Util.Assert
--@class KNN
--@field X any
--@field y {number}
--@field k integer
local function predict(self, Q: Types.Tensor): { number }
task.desynchronize()
local D, N = self.X._shape[1], self.X._shape[2]
loca... | 442 |
imezx/Gradien | imezx-Gradien-362b9bc/src/classic/LinearRegression.luau | luau | .luau | --!native
--!optimize 2
local Tape = require("../autograd/Tape")
local Losses = require("../nn/Losses")
local Linear = require("../nn/Linear")
local SGD = require("../optim/SGD")
return function(inF: number)
local model = Linear(inF, 1)
local self
self = {
fit = function(_, X, Y, epochs: number, lr: number)
lo... | 207 |
imezx/Gradien | imezx-Gradien-362b9bc/src/classic/LogisticRegression.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Losses = require("../nn/Losses")
local Linear = require("../nn/Linear")
local Adam = require("../optim/Adam")
return function(inF: number)
local model = Linear(inF, 1)
local self
self = {
fit = function(_, X... | 388 |
imezx/Gradien | imezx-Gradien-362b9bc/src/classic/MultinomialNB.luau | luau | .luau | --!native
--!optimize 2
local Util = require("../Util")
local assert = Util.Assert
return function(C: number, alpha: number)
alpha = alpha or 1.0
local classCount = table.create(C, 0)
local featureCount = {}
local fitted = false
local self
self = {
fit = function(_, X, y)
local D, N = X._shape[1], X._shape[... | 500 |
imezx/Gradien | imezx-Gradien-362b9bc/src/classic/Ridge.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Losses = require("../nn/Losses")
local Linear = require("../nn/Linear")
local SGD = require("../optim/SGD")
return function(inF: number, wd: number)
wd = wd or 1e-2
local model = Linear(inF, 1)
local self
sel... | 310 |
imezx/Gradien | imezx-Gradien-362b9bc/src/classic/SoftmaxRegression.luau | luau | .luau | --!native
--!optimize 2
local Linear = require("../nn/Linear")
local Losses = require("../nn/Losses")
local Tape = require("../autograd/Tape")
local Tensor = require("../Tensor")
local Types = require("../Types")
local Adam = require("../optim/Adam")
local Util = require("../Util")
local assert = Util.Assert
local fu... | 556 |
imezx/Gradien | imezx-Gradien-362b9bc/src/data/DataLoader.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
return function(
dataset: Types.Dataset,
batchSize: number,
shuffle: boolean,
generator: { randint: (a: number, b: number) -> number }?,
drop_last: boolean?
)
local N = dataset:size()
generator = generator or {
randint = function(a: number, b: number)
... | 343 |
imezx/Gradien | imezx-Gradien-362b9bc/src/data/KFold.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
return function(N: number, K: number): Types.BatchIter
local order: { number } = {}
for i = 1, N do
order[i] = i
end
for i = N, 2, -1 do
local j = math.random(i)
order[i], order[j] = order[j], order[i]
end
local fold = 1
return function()
if fold ... | 252 |
imezx/Gradien | imezx-Gradien-362b9bc/src/data/Split.luau | luau | .luau | --!native
--!optimize 2
--@param N number -- total items
--@param testRatio number? -- fraction in test split (default 0.2)
--@param stratify {number}? -- optional class per item (1..C), length N
--@param rng Random.new? -- optional RNG for deterministic splits
--@return {number}, {number} -- trainIdx, testIdx (1-base... | 470 |
imezx/Gradien | imezx-Gradien-362b9bc/src/data/TensorDataset.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Types = require("../Types")
return function(X: Types.Tensor, Y: Types.Tensor): Types.Dataset
local D, N = X._shape[1], X._shape[2]
local function colSlice(startIdx: number, endIdx: number): (Types.Tensor, Types.Tensor)
local B = endIdx - startIdx + 1... | 487 |
imezx/Gradien | imezx-Gradien-362b9bc/src/experimental/models/GRAM.luau | luau | .luau | --!native
--!optimize 2
-- arXiv:2605.19376v2 [cs.AI] 20 May 2026
-- Generative Recursive Reasoning
local Tensor = require("../../Tensor")
local Tape = require("../../autograd/Tape")
local Types = require("../../Types")
local Linear = require("../../nn/Linear")
local LayerNorm = require("../../nn/LayerNorm")
local Gate... | 5,092 |
imezx/Gradien | imezx-Gradien-362b9bc/src/experimental/models/QIMHNN.luau | luau | .luau | --!native
--!optimize 2
-- Quantum-Inspired Metaheuristic Neural Network (QIMHNN)
local Types = require("../../Types")
local Tensor = require("../../Tensor")
local Tape = require("../../autograd/Tape")
local Util = require("../../Util")
local Utils = require("../../models/Utils")
local LayerNorm = require("../../nn/Lay... | 4,078 |
imezx/Gradien | imezx-Gradien-362b9bc/src/experimental/nn/KAN.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../../Tensor")
local Tape = require("../../autograd/Tape")
local Types = require("../../Types")
local Linear = require("../../nn/Linear")
local Activations = require("../../nn/Activations")
local function RBF(x: Types.Tensor, grid: Types.Tensor, h: number): Types.Tensor
... | 1,342 |
imezx/Gradien | imezx-Gradien-362b9bc/src/experimental/nn/Mamba.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../../Tensor")
local Tape = require("../../autograd/Tape")
local Types = require("../../Types")
local Scan = require("../../ops/Scan")
local Initializer = require("../../Initializer")
local BLAS = require("../../ops/BLAS")
local Math = require("../../ops/Math")
local Acti... | 1,956 |
imezx/Gradien | imezx-Gradien-362b9bc/src/experimental/optim/Metaheuristic.luau | luau | .luau | --!native
--!optimize 2
-- Metaheuristic Optimizer for QIMHNN
local Types = require("../../Types")
local Tensor = require("../../Tensor")
local Util = require("../../Util")
local assert = Util.Assert
export type MetaheuristicConfig = {
lr: number,
swarmSize: number?,
inertia: number?,
cognitive: number?,
social:... | 1,183 |
imezx/Gradien | imezx-Gradien-362b9bc/src/experimental/optim/SwarmPSO.luau | luau | .luau | --!native
--!optimize 2
-- multi-particle PSO Optimizer for QIMHNN
local Types = require("../../Types")
local Tensor = require("../../Tensor")
local Util = require("../../Util")
local assert = Util.Assert
export type SwarmPSOConfig = {
swarmSize: number,
inertia: number?,
cognitive: number?,
social: number?,
lr:... | 1,486 |
imezx/Gradien | imezx-Gradien-362b9bc/src/experimental/rl/Feudal.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../../Types")
local Tensor = require("../../Tensor")
local Linear = require("../../nn/Linear")
local LSTM = require("../../nn/LSTM")
local Softmax = require("../../nn/Softmax")
local Util = require("../../Util")
local Activations = require("../../nn/Activations")
local ass... | 2,109 |
imezx/Gradien | imezx-Gradien-362b9bc/src/extra/RND.luau | luau | .luau | --!native
--!optimize 2
local Tape = require("../autograd/Tape")
local Tensor = require("../Tensor")
local Types = require("../Types")
local function step(self, s: Types.Tensor): number
self.opt:zeroGrad()
local g = self.target:forward(s) :: Types.Tensor -- {E,1}
local f = self.predictor:forward(s) :: Types.Tensor ... | 359 |
imezx/Gradien | imezx-Gradien-362b9bc/src/init.luau | luau | .luau | --[[
Gradien (by @Eternity_Devs)
A strictly-typed, optimized parallel-first ML & DL library for Roblox.
Version 1.4.2
]]
--!strict
local Gradien = {}
Gradien.Autograd = require("@self/autograd/Tape")
Gradien.Init = require("@self/Initializer")
Gradien.Metrics = require("@self/Metrics")
Gradien.GradClip = require("@sel... | 1,641 |
imezx/Gradien | imezx-Gradien-362b9bc/src/models/AutoEncoder.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local Utils = require("./Utils")
local Util = require("../Util")
local Linear = require("../nn/Linear")
local LayerNorm = require("../nn/LayerNorm")
local Dropout = require("../nn/Dropout")
local Sequential = require("../nn/Sequential")
local assert = Util.Asse... | 941 |
imezx/Gradien | imezx-Gradien-362b9bc/src/models/ConvNet.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local Utils = require("./Utils")
local Util = require("../Util")
local Conv2d = require("../nn/Conv2d")
local BatchNorm2d = require("../nn/BatchNorm2d")
local MaxPool2d = require("../nn/MaxPool2d")
local AvgPool2d = require("../nn/AvgPool2d")
local Dropout = req... | 1,420 |
imezx/Gradien | imezx-Gradien-362b9bc/src/models/MLP.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local Utils = require("./Utils")
local Util = require("../Util")
local Linear = require("../nn/Linear")
local LayerNorm = require("../nn/LayerNorm")
local Dropout = require("../nn/Dropout")
local Sequential = require("../nn/Sequential")
local assert = Util.Asse... | 544 |
imezx/Gradien | imezx-Gradien-362b9bc/src/models/ResMLP.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local Utils = require("./Utils")
local Util = require("../Util")
local Linear = require("../nn/Linear")
local LayerNorm = require("../nn/LayerNorm")
local Dropout = require("../nn/Dropout")
local Sequential = require("../nn/Sequential")
local assert = Util.Asse... | 1,011 |
imezx/Gradien | imezx-Gradien-362b9bc/src/models/SequenceClassifier.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local Utils = require("./Utils")
local Tensor = require("../Tensor")
local GRU = require("../nn/GRU")
local LSTM = require("../nn/LSTM")
local RNN = require("../nn/RNN")
local Dropout = require("../nn/Dropout")
local LayerNorm = require("../nn/LayerNorm")
local ... | 1,414 |
imezx/Gradien | imezx-Gradien-362b9bc/src/models/TransformerEncoder.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local Utils = require("./Utils")
local Linear = require("../nn/Linear")
local LayerNorm = require("../nn/LayerNorm")
local Dropout = require("../nn/Dropout")
local Sequential = require("../nn/Sequential")
local Attention = require("../nn/Attention")
export type... | 1,196 |
imezx/Gradien | imezx-Gradien-362b9bc/src/models/Utils.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local Activations = require("../nn/Activations")
local Util = require("../Util")
local assert = Util.Assert
export type ActivationName = "relu" | "gelu" | "tanh" | "silu" | "sigmoid" ... | 895 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Activations.luau | luau | .luau | --!native
--!optimize 2
local Tape = require("../autograd/Tape")
local Tensor = require("../Tensor")
local Types = require("../Types")
local Util = require("../Util")
local assert = Util.Assert
local A = {}
local function prep(x: Types.Tensor): Types.Tensor
return Tensor.zeros(x._shape, x._requiresGrad)
end
local ... | 3,186 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Attention.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local Linear = require("./Linear")
local SoftmaxOps = require("../ops/Softmax")
local Util = require("../Util")
local assert = Util.Assert
type TensorT = Types.Tensor
type Module = Ty... | 3,040 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/AttnResBlock.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
--@param f Types.Module<Types.Tensor, Types.Tensor> - The main sub-network (e.g., LayerNorm -> GatedMLP)
--@param attn Types.Module<Types.Tensor, Types.Tensor> - The attention sub-netw... | 712 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/AvgPool2d.luau | luau | .luau | --!native
--!optimize 2
local Avg = require("../ops/AvgPool2d")
local Types = require("../Types")
return function(KH: number, KW: number, stride: number)
return {
forward = function(_, x: Types.Tensor): Types.Tensor
return Avg(x, KH, KW, stride)
end,
parameters = function(_)
return {}
end,
train = func... | 98 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/BatchNorm1d.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local Util = require("../Util")
local assert = Util.Assert
-- BatchNorm1d (shape {D,B})
--@param D number
--@param eps number?
--@param momentum number?
--@return table
return function... | 1,543 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/BatchNorm2d.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local Util = require("../Util")
local assert = Util.Assert
--@param C number
--@return table
return function(C: number): Types.Module<Types.Tensor, Types.Tensor>
local gamma = Tensor.... | 1,449 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Conv2d.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local convop = require("../ops/Conv2d")
local Types = require("../Types")
-- {C_in,H,W,B} -> {C_out,H-KH+1,W-KW+1,B}, stride=1, pad=0 (for now), with bias
return function(C_in: number, C_out: number, KH: number, KW: nu... | 597 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/ConvTranspose2d.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local convT = require("../ops/ConvTranspose2d")
local Types = require("../Types")
--{C_in,H,W,B} -> {C_out, H+KH-1, W+KW-1, B}
return function(C_in: number, C_out: number, KH: number, KW: number): Types.Module<Types.Te... | 674 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/DropPath.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
return function(p: number?, training: boolean?, rng: Random?): Types.Module<Types.Tensor, Types.Tensor>
local p = p or 0.2
local rng = rng or Random.new()
local keep = 1 - p
return... | 486 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Dropout.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
return function(p: number?, training: boolean?, rng: Random?): Types.Module<Types.Tensor, Types.Tensor>
local rng = rng or Random.new()
local drop = p or 0.2
local keep = 1 - drop
... | 386 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Embedding.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
return function(numEmbeds: number, dim: number): Types.Module<Types.Tensor, Types.Tensor>
local W = Tensor.zeros({ dim, numEmbeds }, true)
return {
forward = function(_, idx: { num... | 358 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Flatten.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
-- Flattens everything but the last dimension (batch) for NCHW+B -> {C*H*W,B}
return function(): Types.Module<Types.Tensor, Types.Tensor>
return {
forward = function(_, x: Types.Ten... | 566 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Functional.luau | luau | .luau | --!native
--!optimize 2
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local FN = {}
function FN.relu(x: Types.Tensor): Types.Tensor
return Tape.relu(x)
end
function FN.linear(w: Types.Tensor, b: Types.Tensor, x: Types.Tensor): Types.Tensor
task.desynchronize()
local out = Tape.matmul(w... | 160 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Fused.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Types = require("../Types")
local Linear = require("./Linear")
local Activations = require("./Activations")
local Dropout = require("./Dropout")
local Util = require("../Util")
local assert = Util.Assert
type Tensor = Types.Tensor
type Module = Types.Mo... | 1,898 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/GRU.luau | luau | .luau | --!native
--!optimize 2
local Linear = require("./Linear")
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
return function(inF: number, hidF: number): Types.Module<Types.Tensor, Types.Tensor>
local Wx = Linear(inF, 3 * hidF)
local Wh = Linear(hidF, 3 * h... | 1,193 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/GatedMLP.luau | luau | .luau | --!native
--!optimize 2
local Linear = require("./Linear")
local A = require("./Activations")
local Types = require("../Types")
--@class GatedMLP
--@field fc_in any -- Linear(in, 2H)
--@field fc_out any -- Linear(H, out)
local function forward(self, x: Types.Tensor): Types.Tensor
local twoH = self.fc_in:forward(x) -... | 268 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/GroupNorm.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local Util = require("../Util")
local assert = Util.Assert
return function(num_groups: number, num_channels: number, eps: number?): Types.Module<Types.Tensor, Types.Tensor>
eps = eps ... | 1,590 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/LSTM.luau | luau | .luau | --!native
--!optimize 2
local Linear = require("./Linear")
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
return function(inF: number, hidF: number): Types.Module<Types.Tensor, Types.Tensor>
local Wx = Linear(inF, 4 * hidF)
local Wh = Linear(hidF, 4 * h... | 2,021 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/LayerNorm.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Reduce = require("../ops/Reduce")
local Types = require("../Types")
local Util = require("../Util")
local assert = Util.Assert
-- LayerNorm across features for each column (shape {D,B}).
return function(D: number... | 1,130 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Linear.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local function ensureGrad(t: Types.Tensor): Types.Tensor?
if not t._grad then
t._grad = Tensor.zeros(t._shape, false)
end
return t._grad
end
return function(
inF: number,
outF:... | 1,370 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/MaxPool2d.luau | luau | .luau | --!native
--!optimize 2
local MP = require("../ops/Pool")
local Types = require("../Types")
return function(KH: number, KW: number, stride: number)
return {
forward = function(_, x: Types.Tensor): Types.Tensor
return MP(x, KH, KW, stride)
end,
parameters = function(_)
return {}
end,
train = function(_)... | 95 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/NoisyLinear.luau | luau | .luau | local Tensor = require("../Tensor")
local Base = require("./Linear")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
return function(inF: number, outF: number, sigma: number?, rng: Random?): Types.Module<Types.Tensor, Types.Tensor>
sigma = sigma or 0.5
rng = rng or Random.new()
local base... | 544 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/RMSNorm.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local function forward(self: { weight: Types.Tensor, eps: number }, x: Types.Tensor): Types.Tensor
task.desynchronize()
local D, B = x._shape[1], x._shape[2]
local y = Tensor.zeros(... | 739 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/RNN.luau | luau | .luau | --!native
--!optimize 2
local Linear = require("./Linear")
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
return function(inF: number, hidF: number): Types.Module<Types.Tensor, Types.Tensor>
local Wx = Linear(inF, hidF)
local Wh = Linear(hidF, hidF)
lo... | 544 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Residual.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local Util = require("../Util")
local assert = Util.Assert
--@param f Types.Module<Types.Tensor, Types.Tensor>
return function(f: Types.Module<Types.Tensor, Types.Tensor>): Types.Modul... | 409 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Sequential.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
return function(mods: { Types.Module<Types.Tensor, Types.Tensor> }): Types.Module<Types.Tensor, Types.Tensor>
return {
_layers = mods,
forward = function(_, x: Types.Tensor): Types.Tensor
local v = x
for _, m in ipairs(mods) do
if type(m) == "tabl... | 226 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Softmax.luau | luau | .luau | --!native
--!optimize 2
local SoftmaxOps = require("../ops/Softmax")
local Types = require("../Types")
local S = {}
function S.forward(logits: Types.Tensor): Types.Tensor
return SoftmaxOps.forward(logits)
end
return S
| 56 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/SwiGLU.luau | luau | .luau | --!native
--!optimize 2
local Activations = require("./Activations")
local Types = require("../Types")
return function(): Types.Module<Types.Tensor, Types.Tensor>
return {
--@param x Types.Tensor @ shape {2H, B}
--@return Types.Tensor @ shape {H, B}
forward = function(_, x: Types.Tensor): Types.Tensor
return... | 121 |
imezx/Gradien | imezx-Gradien-362b9bc/src/nn/Upsample.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
return function(scaleFactor: number, H: number?, W: number?)
local sf = math.max(1, math.floor(scaleFactor))
return {
forward = function(_, x: Types.Tensor): Types.Tensor
local ... | 1,089 |
imezx/Gradien | imezx-Gradien-362b9bc/src/ops/AvgPool2d.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
return function(X: Types.Tensor, KH: number, KW: number, stride: number): Types.Tensor
local C, H, W, B = X._shape[1], X._shape[2], X._shape[3], X._shape[4]
local Ho = math.floor((H ... | 925 |
imezx/Gradien | imezx-Gradien-362b9bc/src/ops/BLAS.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Types = require("../Types")
local Util = require("../Util")
local assert = Util.Assert
-- Matrix multiply: A{M,K} x B{K,N} -> C{M,N}
--@param A Tensor
--@param B Tensor
--@return Tensor
local function matmul(A: Types.Tensor, B: Types.Tensor): Types.Tens... | 310 |
imezx/Gradien | imezx-Gradien-362b9bc/src/ops/Conv2d.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local BLAS = require("../ops/BLAS")
local Util = require("../Util")
local assert = Util.Assert
local function copyShape(shape: { number }): { number }
local out = table.create(#shape)... | 1,622 |
imezx/Gradien | imezx-Gradien-362b9bc/src/ops/ConvTranspose2d.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local BLAS = require("../ops/BLAS")
local Types = require("../Types")
local Util = require("../Util")
local assert = Util.Assert
local function copyShape(shape: { number }): { number }
local out = table.create(#shape)... | 1,571 |
imezx/Gradien | imezx-Gradien-362b9bc/src/ops/Math.luau | luau | .luau | --!optimize 2
--!native
local Tensor = require("../Tensor")
local Types = require("../Types")
local Math = {}
local function checkShapes(A: Types.Tensor, B: Types.Tensor, op: string)
if #A._storage ~= #B._storage then
error(
`Math.{op}: Shape mismatch. A has {#A._storage} elements, B has {#B._storage}. Broadcast... | 1,788 |
imezx/Gradien | imezx-Gradien-362b9bc/src/ops/Pool.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
-- MaxPool2d kernel KHxKW stride s; input {C,H,W,B}
--@param X Tensor
--@param KH number
--@param KW number
--@param stride number
--@return Tensor
return function(X: Types.Tensor, KH:... | 711 |
imezx/Gradien | imezx-Gradien-362b9bc/src/ops/Reduce.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Types = require("../Types")
local Reduce = {}
-- Sum per column (shape {D,B} -> {1,B})
--@param X Tensor
--@return Tensor
function Reduce.sumCols(X: Types.Tensor): Types.Tensor
task.desynchronize()
local D, B = X._shape[1], X._shape[2]
local out = Te... | 351 |
imezx/Gradien | imezx-Gradien-362b9bc/src/ops/Scan.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Types = require("../Types")
local Tape = require("../autograd/Tape")
local Scan = {}
local function ensureGrad(t: Types.Tensor): Types.Tensor?
if not t._grad then
t._grad = Tensor.zeros(t._shape, false)
end
return t._grad
end
function Scan.select... | 1,638 |
imezx/Gradien | imezx-Gradien-362b9bc/src/ops/Softmax.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Tape = require("../autograd/Tape")
local Types = require("../Types")
local SoftmaxOps = {}
local function stableSoftmax(logits: Types.Tensor, out: Types.Tensor)
local src = logits._storage
local dst = out._storage
local C, B = logits._shape[1], logi... | 590 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/Accumulated.luau | luau | .luau | --!native
--!optimize 2
local Util = require("../Util")
local Types = require("../Types")
local assert = Util.Assert
local function scaleGrads(params: { Types.Tensor }, factor: number)
task.desynchronize()
for _, p in params do
local g = p._grad
if g then
local gs = g._storage
for i = 1, #gs do
gs[i] *... | 586 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/Adafactor.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local function flatShape(shape: { number }): (number, number)
local rank = #shape
local rows = 1
for i = 1, rank - 1 do
rows *= shape[i]
end
return rows, shape[rank]
end
local function ensureZeros(buf: { number }?, size: number): { number }
if not buf ... | 1,804 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/Adagrad.luau | luau | .luau | --!native
--!optimize 2
export type Optimizer = { step: (self: Optimizer) -> (), zeroGrad: (self: Optimizer) -> () }
return function(params: { any }, lr: number, eps: number?)
eps = eps or 1e-8
local G: { [any]: { [number]: number } } = {}
local self: Optimizer = {
step = function(_)
task.desynchronize()
fo... | 274 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/Adam.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
return function(params: { Types.Tensor }, lr: number, b1: number?, b2: number?, eps: number?, weight_decay: number?)
b1 = b1 or 0.9
b2 = b2 or 0.999
eps = eps or 1e-8
local wd = weight_decay or 0
local m: { [Types.Tensor]: { [number]: number } } = {}
loca... | 790 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/AdamW.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
return function(
params: { Types.Tensor },
lr: number,
wd: number,
b1: number?,
b2: number?,
eps: number?
)
b1 = b1 or 0.9
b2 = b2 or 0.999
eps = eps or 1e-8
local m: { [Types.Tensor]: { [number]: number } } = {}
local v: { [Types.Tensor]: { [number]... | 680 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/EMA.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local function update(self, params)
task.desynchronize()
local m = self.decay
for i = 1, #params do
local t = params[i]
local s = self.shadow[i]
for k = 1, #t._storage do
s._storage[k] = m * s._storage[k] + (1 - m) * t._storage[k]
end
end
task... | 426 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/Lion.luau | luau | .luau | --!native
--!optimize 2
-- Chen et al., 2023. Update uses sign of momentum (no per-param v).
--@param params {any}
--@param lr number
--@param beta1 number? @default 0.9
--@param beta2 number? @default 0.99
--@param weightDecay number? @default 0.0 (decoupled)
return function(params, lr: number, beta1: number?, beta2:... | 494 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/Lookahead.luau | luau | .luau | --!native
--!optimize 2
--@param params { Tensor }
--@param base any -- base optimizer already constructed on params
--@param k integer? -- steps between sync (default 5)
--@param alpha number? -- interpolation factor (default 0.5)
return function(params, base, k: number?, alpha: number?)
k = k or 5; alpha = alpha or... | 319 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/Muon.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
local Tensor = require("../Tensor")
local BLAS = require("../ops/BLAS")
-- X_{k+1} = 1.5 * X_k - 0.5 * X_k @ X_k^T @ X_k
local function newtonSchulz(G: Types.Tensor, steps: number): Types.Tensor
local X = Tensor.detach(G)
local _rows, _cols = X._shape[1], X._... | 848 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/RMSProp.luau | luau | .luau | --!native
--!optimize 2
export type Optimizer = { step: (self: Optimizer) -> (), zeroGrad: (self: Optimizer) -> () }
return function(params: { any }, lr: number, decay: number?, eps: number?)
decay = decay or 0.99
eps = eps or 1e-8
local avg2: { [any]: { [number]: number } } = {}
local self: Optimizer = {
step =... | 315 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/SGD.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
return function(params: { Types.Tensor }, lr: number, momentum: number?, nesterov: boolean?)
momentum = momentum or 0
local vel: { [Types.Tensor]: { [number]: number } } = {}
local step = 0
local self = {
step = function(_)
step += 1
task.desynchron... | 464 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/Schedulers.luau | luau | .luau | --!native
--!optimize 2
local S = {}
--@param lr number
--@param gamma number
--@param stepSize number
-- decays lr by gamma every stepSize steps
function S.step(lr: number, gamma: number, stepSize: number): (step: number) -> number
return function(step: number)
return lr * (gamma ^ math.floor(step / stepSize))
en... | 1,527 |
imezx/Gradien | imezx-Gradien-362b9bc/src/optim/Sophia.luau | luau | .luau | --!native
--!optimize 2
local Types = require("../Types")
--@param params {Tensor}
--@param lr number
--@param betas {number}? @default {0.965, 0.99}
--@param rho number? @default 0.04
--@param weightDecay number? @default 0.0
return function(params: { Types.Tensor }, lr: number, betas: { number }?, rho: number?, weig... | 744 |
imezx/Gradien | imezx-Gradien-362b9bc/src/preprocess/MinMaxScaler.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
local Util = require("../Util")
local assert = Util.Assert
return function(a: number, b: number)
a = a or 0
b = b or 1
local lo: { number }? = nil
local hi: { number }? = nil
local self
self = {
fit = function(_, X)
task.desynchronize()
local D,... | 445 |
imezx/Gradien | imezx-Gradien-362b9bc/src/preprocess/OneHot.luau | luau | .luau | --!native
--!optimize 2
local Tensor = require("../Tensor")
return function(C: number)
return function(idx: { number })
task.desynchronize()
local B = #idx
local Y = Tensor.zeros({ C, B })
for j = 1, B do
Y._storage[(idx[j] - 1) * B + j] = 1
end
task.synchronize()
return Y
end
end
| 100 |
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