Fix typos

Author: gaurav-arya

docs/src/implementations.md

@@ -36,7 +36,7 @@ To define a new FFT implementation in your own module, you should
 * To enable automatic computation of adjoint plans via [`Base.adjoint`](@ref) (used in rules for reverse differentiation), define the trait `AbstractFFTs.ProjectionStyle(::MyPlan)`, which can take values:
     * `AbstractFFTs.NoProjectionStyle()`,
     * `AbstractFFTs.RealProjectionStyle()`, for plans which halve one of the output's dimensions analogously to [`rfft`](@ref),
-    * `AbstractFFTs.RealInverseProjectionStyle(d::Integer)`, for plans which expect an input with a halved dimension analogously to [`irfft`](@ref), where `d` is the original length of the dimension.
+    * `AbstractFFTs.RealInverseProjectionStyle(d::Int)`, for plans which expect an input with a halved dimension analogously to [`irfft`](@ref), where `d` is the original length of the dimension.
 
 The normalization convention for your FFT should be that it computes yₖ = ∑ⱼ xⱼ exp(-2πi jk/n) for a transform of
 length n, and the "backwards" (unnormalized inverse) transform computes the same thing but with exp(+2πi jk/n).

src/definitions.jl

@@ -587,8 +587,6 @@ struct RealInverseProjectionStyle
 end
 const ProjectionStyle = Union{NoProjectionStyle, RealProjectionStyle, RealInverseProjectionStyle}
 
-function irfft_dim end
-
 output_size(p::Plan) = _output_size(p, ProjectionStyle(p))
 _output_size(p::Plan, ::NoProjectionStyle) = size(p)
 _output_size(p::Plan, ::RealProjectionStyle) = rfft_output_size(size(p), fftdims(p))