start of mut

README.md

@@ -19,6 +19,7 @@ Currently available layers and work in progress in the short term:
  - [x] Recurrent highway network (RHN) [arixv](https://arxiv.org/pdf/1607.03474)
  - [x] Light recurrent unit (LightRU) [pub](https://www.mdpi.com/2079-9292/13/16/3204)
  - [x] Neural architecture search unit (NAS) [arxiv](https://arxiv.org/abs/1611.01578)
+ - [x] Evolving recurrent neural networks (MUT1/2/3) [pub](https://proceedings.mlr.press/v37/jozefowicz15.pdf)
  - [ ] Minimal gated recurrent unit (minGRU) and minimal long short term memory (minLSTM) [arxiv](https://arxiv.org/abs/2410.01201)
 
 ## Installation

src/RecurrentLayers.jl

@@ -5,7 +5,7 @@ import Flux: _size_check, _match_eltype, chunk, create_bias, zeros_like
 import Flux: glorot_uniform
 
 export MGUCell, LiGRUCell, IndRNNCell, RANCell, LightRUCell, RHNCell,
-RHNCellUnit, NASCell
+RHNCellUnit, NASCell, MUT1Cell
 export MGU, LiGRU, IndRNN, RAN, LightRU, NAS, RHN
 
 #TODO add double bias
@@ -16,5 +16,6 @@ include("ran_cell.jl")
 include("lightru_cell.jl")
 include("rhn_cell.jl")
 include("nas_cell.jl")
+include("mut_cell.jl")
 
 end #module

src/mut_cell.jl

@@ -0,0 +1,47 @@
+#https://proceedings.mlr.press/v37/jozefowicz15.pdf
+struct MUT1Cell{I, H, V}
+    Wi::I
+    Wh::H
+    bias::V
+end
+
+Flux.@layer MUT1Cell
+
+"""
+    MUT1Cell((in, out)::Pair; init = glorot_uniform, bias = true)
+"""
+function MUT1Cell((in, out)::Pair;
+    init = glorot_uniform,
+    bias = true)
+
+    Wi = init(out * 2, in)
+    Wh = init(out * 2, out)
+    b = create_bias(Wi, bias, 3 * out)
+
+    return MUT1Cell(Wi, Wh, b)
+end
+
+function (mut::MUT1Cell)(inp::AbstractVecOrMat)
+    state = zeros_like(inp, size(mut.Wh, 2))
+    return mut(inp, state)
+end
+
+function (mut::MUT1Cell)(inp::AbstractVecOrMat, state)
+    _size_check(mut, inp, 1 => size(mut.Wi,2))
+    Wi, Wh, b = mut.Wi, mut.Wh, mut.bias
+    #split
+    gxs = chunk(Wi * inp, 2, dims=1)
+    ghs = chunk(Wh, 2, dims=1)
+    bs = chunk(b, 3, dims=1)
+
+    forget_gate = sigmoid_fast.(gxs[1] .+ bs[1])
+    reset_gate = sigmoid_fast.(gxs[1] .+ ghs[1]*state .+ bs[2])
+    candidate_state = tanh_fast.(
+        ghs[2] * (forget_gate .* state) .+ tanh_fast(inp) + bs[3]
+    )
+    new_state = candidate_state .* forget_gate .+ state .* (1 .- forget_gate)
+    return new_state
+end
+
+Base.show(io::IO, mut::MUT1Cell) =
+    print(io, "MUT1Cell(", size(mut.Wi, 2), " => ", size(mut.Wi, 1) ÷ 2, ")")