From 1f58ea7ac08572687084657d67844e52c6a60fa2 Mon Sep 17 00:00:00 2001
From: Avik Pal <avikpal@mit.edu>
Date: Thu, 4 Jul 2024 10:16:11 -0700
Subject: [PATCH] fix: fix the typos

---
 .typos.toml                   | 5 +++++
 ext/LuxLibCUDAExt/cublaslt.jl | 2 +-
 ext/LuxLibForwardDiffExt.jl   | 2 +-
 src/utils.jl                  | 2 +-
 4 files changed, 8 insertions(+), 3 deletions(-)
 create mode 100644 .typos.toml

diff --git a/.typos.toml b/.typos.toml
new file mode 100644
index 00000000..659440a7
--- /dev/null
+++ b/.typos.toml
@@ -0,0 +1,5 @@
+[default.extend-words]
+numer = "numer"
+nd = "nd"
+Ba = "Ba"
+
diff --git a/ext/LuxLibCUDAExt/cublaslt.jl b/ext/LuxLibCUDAExt/cublaslt.jl
index dcc9395a..75120d08 100644
--- a/ext/LuxLibCUDAExt/cublaslt.jl
+++ b/ext/LuxLibCUDAExt/cublaslt.jl
@@ -125,7 +125,7 @@ function LuxLib._cublaslt_matmul_fused!(
     lthandle = Ref{CUBLAS.cublasLtHandle_t}()
     CUBLAS.cublasLtCreate(lthandle)
 
-    # Seach for the best algorithm
+    # Search for the best algorithm
     heuristic = Ref{CUBLAS.cublasLtMatmulHeuristicResult_t}()
     returnedResults = Ref{Cint}(0)
     CUBLAS.cublasLtMatmulAlgoGetHeuristic(
diff --git a/ext/LuxLibForwardDiffExt.jl b/ext/LuxLibForwardDiffExt.jl
index d5fd0275..51280796 100644
--- a/ext/LuxLibForwardDiffExt.jl
+++ b/ext/LuxLibForwardDiffExt.jl
@@ -12,7 +12,7 @@ LuxLib.__has_dual(::AbstractArray{<:ForwardDiff.Dual}) = true
     return ForwardDiff.valtype(eltype(x))
 end
 
-# Convolutions: We might want to capture these furthur down in `conv!`
+# Convolutions: We might want to capture these further down in `conv!`
 # NOTE: In principle we can concatenate all of the partials along the batch dimension
 #       and cut down substantially on the time to compute jacobians.
 # Here we should be broadcasting with `Tag` for safety but that breaks GPU compilation.
diff --git a/src/utils.jl b/src/utils.jl
index fcaf6e8d..a24b520a 100644
--- a/src/utils.jl
+++ b/src/utils.jl
@@ -27,7 +27,7 @@ EnzymeRules.inactive_noinl(::typeof(_copy_autodiff_barrier), ::Any...) = nothing
 __is_tracked(x) = x == :TrackedArray || x == :TrackedVector
 __is_tracked(args...) = any(__is_tracked, args)
 
-# Droping ForwardDiff Gradients
+# Dropping ForwardDiff Gradients
 function _drop_forwarddiff_partials end
 
 _drop_forwarddiff_partials(x::AbstractArray) = x