femtomc

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Last Updated: November 24, 2025

Overview

This custom GPT ("noface") is a personal tool that integrates with GitHub via OAuth to create pull requests on repositories owned by the authenticated user.

Data Collection

femtomc

from gpu import thread_idx, block_idx, warp, barrier
from gpu.host import DeviceContext, DeviceBuffer, HostBuffer
from gpu.memory import AddressSpace
from memory import stack_allocation
from layout import Layout, LayoutTensor
from math import sqrt
from sys import sizeof
from algorithm import parallelize

alias float32 = DType.float32

femtomc

[[package]]
name = "absl-py"
version = "1.2.0"
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
category = "main"
optional = false
python-versions = ">=3.6"

[[package]]
name = "alabaster"

femtomc

/* collapsing multiple levels of interpreters */

object TestMeta3 {

  abstract class Exp
  case class Lit(n:Int) extends Exp
  case class Sym(s:String) extends Exp
  case class Var(n:Int) extends Exp
  case class App(e1:Exp, e2:Exp) extends Exp
  case class Lam(e:Exp) extends Exp

femtomc

# Recursively wraps function calls with the below generated function call and inserts the context argument.
function remix!(ir, hooks = false)
    pr = IRTools.Pipe(ir)
    new = argument!(pr)
    for (v, st) in pr
        ex = st.expr
        ex isa Expr && ex.head == :call && begin
            if !(ex.args[1] isa GlobalRef && (ex.args[1].mod == Base || ex.args[1].mod == Core))
                args = copy(ex.args)
                ex = Expr(:call, :remix!, new, ex.args...)

femtomc

#!/usr/bin/env julia

# Check if Revise is installed.
using Pkg
try 
    Pkg.status("Revise")
catch e
error("\n\033[0;31mRevise not installed to your global environment. Please install Revise.\033[0m\n\033[0;32mUse 'using Pkg; Pkg.add(\"Revise\")' at REPL.\033[0m\n")
end
using Revise

femtomc

module ReverseModeADwithContexts

using Cassette

Cassette.@context J; # J is the notation for the function which generates pullbacks (the lambda terms you see below)

# Equivalent to gradient tape.
mutable struct ReverseTrace
    gradient_tape::Array{Function, 1}
    ReverseTrace() = new([])

femtomc

-- Autodiff using algebraic effects
-- Simple reverse mode with a gradient tape

use .base

ability Differentiable where
    cos : Float -> Float
    sin : Float -> Float
    exp : Float -> Float