Show Methods

[chriselrod]

Fixes #23
Example from the tests:

  x = rand(24,199);

  y = StrideArray{Float64}(undef, (static(2),size(x,2))) .= randn.() .* 10;
  sc = SimpleChain((Activation(abs2), TurboDense{true}(tanh, (static(24),static(8))), TurboDense{true}(identity, (static(8),static(2))), SquaredLoss(y)));

  @test sprint((io,t) -> show(io,t), sc) == """
SimpleChain with the following layers:
Activation layer applying: abs2
TurboDense (static(24), static(8)) with bias.
Activation layer applying: tanh
TurboDense (static(8), static(2)) with bias.
SquaredLoss"""

  @test first(Dropout(0.5)(x, pointer(x), pointer(sc.memory))) === x
  @test sum(iszero, x) == 0
  x .= rand.();

  scflp = FrontLastPenalty(sc, L2Penalty(2.3), L1Penalty(0.45));
  @test sprint((io,t) -> show(io,t), scflp) == """
Penalty on all but last layer: L2Penalty (λ=2.3)
Penalty on last layer: L1Penalty (λ=0.45) applied to:
SimpleChain with the following layers:
Activation layer applying: abs2
TurboDense (static(24), static(8)) with bias.
Activation layer applying: tanh
TurboDense (static(8), static(2)) with bias.
SquaredLoss"""

[korsbo]

Looks good to me