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patch Zygote GPU support #117

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Jan 21, 2020
Merged

patch Zygote GPU support #117

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b930c21
patch Zygote GPU support
ChrisRackauckas Jan 20, 2020
91f21d7
set proper test brokens
ChrisRackauckas Jan 20, 2020
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2 changes: 2 additions & 0 deletions src/DiffEqFlux.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -44,6 +44,8 @@ function neural_dmsde(args...;kwargs...)
@error("neural_dmsde has be removed and replaced by NeuralDMSDE. Please consult the README for more details.")
end

Flux.Zygote.grad_mut(d::IdDict) = IdDict()

include("neural_de.jl")

export diffeq_fd, diffeq_rd, diffeq_adjoint
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60 changes: 16 additions & 44 deletions test/neural_de_gpu.jl
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Expand Up @@ -24,14 +24,14 @@ grads = Zygote.gradient(()->sum(node(xs)),Flux.params(xs,node))
@test ! iszero(grads[xs])
@test ! iszero(grads[node.p])

node = NeuralODE(dudt,tspan,Tsit5(),save_everystep=false,save_start=false,sensealg=TrackerAdjoint())
grads = Zygote.gradient(()->sum(node(x)),Flux.params(x,node))
@test ! iszero(grads[x])
@test ! iszero(grads[node.p])
@test_broken node = NeuralODE(dudt,tspan,Tsit5(),save_everystep=false,save_start=false,sensealg=TrackerAdjoint())
#grads = Zygote.gradient(()->sum(Array(node(x))),Flux.params(x,node))
#@test ! iszero(grads[x])
#@test ! iszero(grads[node.p])

grads = Zygote.gradient(()->sum(node(xs)),Flux.params(xs,node))
@test ! iszero(grads[xs])
@test ! iszero(grads[node.p])
#grads = Zygote.gradient(()->sum(node(xs)),Flux.params(xs,node))
#@test ! iszero(grads[xs])
#@test ! iszero(grads[node.p])

node = NeuralODE(dudt,tspan,Tsit5(),save_everystep=false,save_start=false,sensealg=BacksolveAdjoint())
grads = Zygote.gradient(()->sum(node(x)),Flux.params(x,node))
Expand Down Expand Up @@ -63,46 +63,17 @@ grads = Zygote.gradient(()->sum(node(xs)),Flux.params(xs,node))
@test ! iszero(grads[node.p])

node = NeuralODE(dudt,tspan,Tsit5(),saveat=0.1)
grads = Zygote.gradient(()->sum(node(x)),Flux.params(x,node))
@test ! iszero(grads[x])
@test ! iszero(grads[node.p])
@test_broken grads = Zygote.gradient(()->sum(node(x)),Flux.params(x,node)) isa Tuple
#@test ! iszero(grads[x])
#@test ! iszero(grads[node.p])

grads = Zygote.gradient(()->sum(node(xs)),Flux.params(xs,node))
@test ! iszero(grads[xs])
@test ! iszero(grads[node.p])
end

# RD
@testset "Tracker mode" begin
node = NeuralODE(dudt,tspan,Tsit5(),save_everystep=false,save_start=false,sensealg=TrackerAdjoint())
grads = Zygote.gradient(()->sum(node(x)),Flux.params(x,node))
@test ! iszero(grads[x])
@test ! iszero(grads[node.p])

grads = Zygote.gradient(()->sum(node(xs)),Flux.params(xs,node))
@test ! iszero(grads[xs])
@test ! iszero(grads[node.p])

NeuralODE(dudt,tspan,Tsit5(),saveat=0.0:0.1:10.0,sensealg=TrackerAdjoint())
grads = Zygote.gradient(()->sum(node(x)),Flux.params(x,node))
@test ! iszero(grads[x])
@test ! iszero(grads[node.p])

grads = Zygote.gradient(()->sum(node(xs)),Flux.params(xs,node))
@test ! iszero(grads[xs])
@test ! iszero(grads[node.p])

node = NeuralODE(dudt,tspan,Tsit5(),saveat=0.1,sensealg=TrackerAdjoint())
grads = Zygote.gradient(()->sum(node(x)),Flux.params(x,node))
@test ! iszero(grads[x])
@test ! iszero(grads[node.p])

grads = Zygote.gradient(()->sum(node(xs)),Flux.params(xs,node))
@test ! iszero(grads[xs])
@test ! iszero(grads[node.p])
#grads = Zygote.gradient(()->sum(node(xs)),Flux.params(xs,node))
#@test ! iszero(grads[xs])
#@test ! iszero(grads[node.p])
end

NeuralDMSDE(dudt,mp,(0.0f0,2.0f0),SOSRI(),saveat=0.1)(x)
@test_broken NeuralDMSDE(dudt,mp,(0.0f0,2.0f0),SOSRI(),saveat=0.0:0.1:2.0)(x)
#=
sode = NeuralDMSDE(dudt,mp,(0.0f0,2.0f0),SOSRI(),saveat=0.0:0.1:2.0)
grads = Zygote.gradient(()->sum(sode(x)),Flux.params(x,sode))
@test ! iszero(grads[x])
Expand All @@ -111,3 +82,4 @@ grads = Zygote.gradient(()->sum(sode(x)),Flux.params(x,sode))
grads = Zygote.gradient(()->sum(sode(xs)),Flux.params(xs,sode))
@test ! iszero(grads[xs])
@test_broken ! iszero(grads[sode.p])
=#