Remove redundant comments and docstrings

Author: Saransh-cpp

src/layers/basic.jl

@@ -50,36 +50,9 @@ end
 
 (c::Chain)(x) = applychain(c.layers, x)
 
-"""
-    applychain(layers, x)
-
-Calculates the forward results of the complete chain provided as a `Tuple`, `AbstractVector`,
-or a `NamedTuple` of layers with `x` as model input. Users are encouraged to call a chain
-instead of using this function directly.
-
-# Examples
-
-```jldoctest; filter = r"[+-]?([0-9]*[.])?[0-9]+"
-julia> using Flux: applychain
-
-julia> c = Chain(Dense(10 => 5, σ), Dense(5 => 2), softmax);
-
-julia> applychain(c.layers, rand(10))  # will output a 2 element vector as our chain has 2 neurons in the final output layer
-2-element Vector{Float64}:
- 0.5101459322326873
- 0.4898540677673126
-
-julia> applychain([Dense(10 => 5, σ), Dense(5 => 2), softmax], rand(10))  # will output a 2 element vector as our chain has 2 neurons in the final output layer
-2-element Vector{Float64}:
- 0.5101459322326873
- 0.4898540677673126
-
-julia> c(rand(10))  # encouraged method
-2-element Vector{Float64}:
- 0.4861734115447846
- 0.5138265884552153
-```
-"""
+# Calculates the forward results of the complete chain provided as a `Tuple`, `AbstractVector`,
+# or a `NamedTuple` of layers with `x` as model input. Users are encouraged to call a chain
+# instead of using this function directly.
 @generated function applychain(layers::Tuple{Vararg{<:Any,N}}, x) where {N}
   symbols = vcat(:x, [gensym() for _ in 1:N])
   calls = [:($(symbols[i+1]) = layers[$i]($(symbols[i]))) for i in 1:N]
@@ -134,20 +107,7 @@ julia> activations(c, 1)
 """
 activations(c::Chain, input) = extraChain(Tuple(c.layers), input)
 
-"""
-    extraChain(fs::Tuple, x)
-
-Calculates the forward results of each layer provided in a `Tuple` with `x` as model input.
-
-# Examples
-
-```jldoctest; filter = r"[+-]?([0-9]*[.])?[0-9]+"
-julia> using Flux: extraChain
-
-julia> extraChain((Dense(10 => 5, σ), Dense(5 => 2), softmax), rand(10))  # will output a tuple of 3 lists (with length = 5, 2, and 2) as our chain has 3 layers
-([0.3274892431795043, 0.5360197770386552, 0.3447464835514667, 0.5273025865532305, 0.7513168089280781], [-0.3533774181890544, -0.010937055274926138], [0.4152168057978045, 0.5847831942021956])
-```
-"""
+# Calculates the forward results of each layer provided in a `Tuple` with `x` as model input.
 function extraChain(fs::Tuple, x)
   res = first(fs)(x)
   return (res, extraChain(Base.tail(fs), res)...)

src/layers/conv.jl

@@ -189,8 +189,6 @@ function Base.show(io::IO, l::Conv)
   print(io, ")")
 end
 
-# helper function to  print additional options and keyword arguments for `Conv`
-# and friends when using `Base.show`
 function _print_conv_opt(io::IO, l)
   l.σ == identity || print(io, ", ", l.σ)
   all(==(0), l.pad) || print(io, ", pad=", _maybetuple_string(l.pad))
@@ -644,7 +642,6 @@ function Base.show(io::IO, m::MaxPool)
   print(io, ")")
 end
 
-# helper functions for printing `Conv` (and family) layers
 _maybetuple_string(pad) = string(pad)
 _maybetuple_string(pad::Tuple) = all(==(pad[1]), pad) ? string(pad[1])  : string(pad)