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70 changes: 44 additions & 26 deletions src/integrating_GK_sum.jl
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,7 @@ mutable struct SavingIntegrandGKSumAffect{
gk_step_cache::IntegrandCacheType
gk_err_cache::IntegrandCacheType
tol::Float64
integrand_inplace::Union{Nothing, Bool}
end

function integrate_gk!(
Expand All @@ -18,44 +19,39 @@ function integrate_gk!(
)
affect!.gk_step_cache = recursive_zero!(affect!.gk_step_cache)
affect!.gk_err_cache = recursive_zero!(affect!.gk_err_cache)
isinplace_prob = DiffEqBase.isinplace(integrator.sol.prob)
inplace_integrand = affect!.integrand_inplace === nothing ?
(isinplace_prob && affect!.integrand_cache !== nothing) :
affect!.integrand_inplace
for i in 1:(2 * order + 1)
t_temp = (gk_points[order][i] + 1) * ((bound_r - bound_l) / 2) + bound_l
if DiffEqBase.isinplace(integrator.sol.prob)
if isinplace_prob
curu = first(get_tmp_cache(integrator))
integrator(curu, t_temp)
if affect!.integrand_cache == nothing
recursive_axpy!(
gk_weights[order][i],
affect!.integrand_func(curu, t_temp, integrator), affect!.gk_step_cache
)
if i % 2 == 0
recursive_axpy!(
g_weights[order][div(i, 2)],
affect!.integrand_func(curu, t_temp, integrator), affect!.gk_err_cache
)
end
else
affect!.integrand_func(affect!.integrand_cache, curu, t_temp, integrator)
else
curu = integrator(t_temp)
end
if inplace_integrand
affect!.integrand_func(affect!.integrand_cache, curu, t_temp, integrator)
recursive_axpy!(
gk_weights[order][i],
affect!.integrand_cache, affect!.gk_step_cache
)
if i % 2 == 0
recursive_axpy!(
gk_weights[order][i],
affect!.integrand_cache, affect!.gk_step_cache
g_weights[order][div(i, 2)],
affect!.integrand_cache, affect!.gk_err_cache
)
if i % 2 == 0
recursive_axpy!(
g_weights[order][div(i, 2)],
affect!.integrand_cache, affect!.gk_err_cache
)
end
end
else
recursive_axpy!(
gk_weights[order][i],
affect!.integrand_func(integrator(t_temp), t_temp, integrator), affect!.gk_step_cache
affect!.integrand_func(curu, t_temp, integrator), affect!.gk_step_cache
)
if i % 2 == 0
recursive_axpy!(
g_weights[order][div(i, 2)],
affect!.integrand_func(integrator(t_temp), t_temp, integrator), affect!.gk_err_cache
affect!.integrand_func(curu, t_temp, integrator), affect!.gk_err_cache
)
end
end
Expand Down Expand Up @@ -108,6 +104,18 @@ returns Integral(integrand_func(u(t),t)dt over the problem tspan.
that `integrand_func` will output (or higher compatible type).
- `integrand_prototype` is a prototype of the output from the integrand.

## Keyword Arguments

- `integrand_inplace = nothing`: controls which form of `integrand_func` is called.
With the default `nothing`, the in-place `integrand_func(out, u, t, integrator)`
form is used for in-place problems (when an `integrand_prototype` is given) and
the allocating `integrand_func(u, t, integrator)` form for out-of-place problems.
Pass `integrand_inplace = true` to force the in-place form even for out-of-place
problems — the integrand output (e.g. a parameter-shaped buffer) may be mutable
even when the state is immutable, which avoids allocating the output on every
quadrature node. Requires an `integrand_prototype`. Pass `integrand_inplace = false`
to force the allocating form.

The outputted values are saved into `integrand_values`. The values are found
via `integrand_values.integrand`.

Expand All @@ -119,11 +127,21 @@ via `integrand_values.integrand`.
solvers are required.
"""
function IntegratingGKSumCallback(
integrand_func, integrand_values::IntegrandValuesSum, integrand_prototype, tol = 1.0e-7
integrand_func, integrand_values::IntegrandValuesSum, integrand_prototype,
tol = 1.0e-7;
integrand_inplace::Union{Nothing, Bool} = nothing
)
if integrand_inplace === true && integrand_prototype === nothing
throw(
ArgumentError(
"integrand_inplace = true requires an integrand_prototype to use as the output buffer."
)
)
end
affect! = SavingIntegrandGKSumAffect(
integrand_func, integrand_values, integrand_prototype,
allocate_zeros(integrand_prototype), allocate_zeros(integrand_prototype), allocate_zeros(integrand_prototype), tol
allocate_zeros(integrand_prototype), allocate_zeros(integrand_prototype),
allocate_zeros(integrand_prototype), tol, integrand_inplace
)
condition = true_condition
return DiscreteCallback(condition, affect!, save_positions = (false, false))
Expand Down
60 changes: 45 additions & 15 deletions src/integrating_sum.jl
Original file line number Diff line number Diff line change
Expand Up @@ -69,6 +69,15 @@ mutable struct SavingIntegrandSumAffect{IntegrandFunc, integrandType, IntegrandC
integrand_values::IntegrandValuesSum{integrandType}
integrand_cache::IntegrandCacheType
accumulation_cache::IntegrandCacheType
integrand_inplace::Union{Nothing, Bool}
end

function SavingIntegrandSumAffect(
integrand_func, integrand_values, integrand_cache, accumulation_cache
)
return SavingIntegrandSumAffect(
integrand_func, integrand_values, integrand_cache, accumulation_cache, nothing
)
end

function (affect!::SavingIntegrandSumAffect)(integrator)
Expand All @@ -79,26 +88,27 @@ function (affect!::SavingIntegrandSumAffect)(integrator)
n = div(SciMLBase.alg_order(integrator.alg) + 1, 2)
end
accumulation_cache = recursive_zero!(affect!.accumulation_cache)
isinplace_prob = DiffEqBase.isinplace(integrator.sol.prob)
inplace_integrand = affect!.integrand_inplace === nothing ?
(isinplace_prob && affect!.integrand_cache !== nothing) :
affect!.integrand_inplace
for i in 1:n
t_temp = ((integrator.t - integrator.tprev) / 2) * gauss_points[n][i] + (integrator.t + integrator.tprev) / 2
if DiffEqBase.isinplace(integrator.sol.prob)
if isinplace_prob
curu = first(get_tmp_cache(integrator))
integrator(curu, t_temp)
if affect!.integrand_cache === nothing
recursive_axpy!(
gauss_weights[n][i],
affect!.integrand_func(curu, t_temp, integrator), accumulation_cache
)
else
affect!.integrand_func(affect!.integrand_cache, curu, t_temp, integrator)
recursive_axpy!(
gauss_weights[n][i], affect!.integrand_cache, accumulation_cache
)
end
else
curu = integrator(t_temp)
end
if inplace_integrand
affect!.integrand_func(affect!.integrand_cache, curu, t_temp, integrator)
recursive_axpy!(
gauss_weights[n][i], affect!.integrand_cache, accumulation_cache
)
else
recursive_axpy!(
gauss_weights[n][i],
affect!.integrand_func(integrator(t_temp), t_temp, integrator), accumulation_cache
affect!.integrand_func(curu, t_temp, integrator), accumulation_cache
)
end
end
Expand Down Expand Up @@ -128,6 +138,18 @@ returns Integral(integrand_func(u(t),t)dt over the problem tspan.
that `integrand_func` will output (or higher compatible type).
- `integrand_prototype` is a prototype of the output from the integrand.

## Keyword Arguments

- `integrand_inplace = nothing`: controls which form of `integrand_func` is called.
With the default `nothing`, the in-place `integrand_func(out, u, t, integrator)`
form is used for in-place problems (when an `integrand_prototype` is given) and
the allocating `integrand_func(u, t, integrator)` form for out-of-place problems.
Pass `integrand_inplace = true` to force the in-place form even for out-of-place
problems — the integrand output (e.g. a parameter-shaped buffer) may be mutable
even when the state is immutable, which avoids allocating the output on every
quadrature node. Requires an `integrand_prototype`. Pass `integrand_inplace = false`
to force the allocating form.

The outputted values are saved into `integrand_values`. The values are found
via `integrand_values.integrand`.

Expand All @@ -137,11 +159,19 @@ via `integrand_values.integrand`.
solvers are required.
"""
function IntegratingSumCallback(
integrand_func, integrand_values::IntegrandValuesSum, integrand_prototype
integrand_func, integrand_values::IntegrandValuesSum, integrand_prototype;
integrand_inplace::Union{Nothing, Bool} = nothing
)
if integrand_inplace === true && integrand_prototype === nothing
throw(
ArgumentError(
"integrand_inplace = true requires an integrand_prototype to use as the output buffer."
)
)
end
affect! = SavingIntegrandSumAffect(
integrand_func, integrand_values, integrand_prototype,
allocate_zeros(integrand_prototype)
allocate_zeros(integrand_prototype), integrand_inplace
)
condition = true_condition
return DiscreteCallback(condition, affect!, save_positions = (false, false))
Expand Down
19 changes: 19 additions & 0 deletions test/integrating_GK_sum_tests.jl
Original file line number Diff line number Diff line change
Expand Up @@ -80,3 +80,22 @@ dGdp_analytical = analytical_derivative(p, tspan[end])
@test isapprox(
dGdp_analytical, integrand_values_inplace.integrand, atol = 1.0e-11, rtol = 1.0e-11
)

# integrand_inplace = true: in-place integrand with an out-of-place problem
using StaticArrays
prob_oop = ODEProblem((u, p, t) -> SVector(1.0), SVector(0.0), (0.0, 1.0))
integrated = IntegrandValuesSum(zeros(1))
sol = solve(
prob_oop, Euler(),
callback = IntegratingGKSumCallback(
(out, u, t, integrator) -> (out[1] = u[1]; nothing), integrated, Float64[0.0];
integrand_inplace = true
),
dt = 0.1
)
@test integrated.integrand[1] == 0.5

@test_throws ArgumentError IntegratingGKSumCallback(
(out, u, t, integrator) -> nothing, IntegrandValuesSum(zeros(1)), nothing;
integrand_inplace = true
)
34 changes: 34 additions & 0 deletions test/integrating_sum_tests.jl
Original file line number Diff line number Diff line change
Expand Up @@ -20,3 +20,37 @@ sol = solve(
dt = 0.1
)
@test integrated.integrand[1] == 0.5

# integrand_inplace = true: in-place integrand with an out-of-place problem
# (e.g. immutable state with a mutable, parameter-shaped integrand buffer)
using StaticArrays
prob_oop = ODEProblem((u, p, t) -> SVector(1.0), SVector(0.0), (0.0, 1.0))
integrated = IntegrandValuesSum(zeros(1))
sol = solve(
prob_oop, Euler(),
callback = IntegratingSumCallback(
(out, u, t, integrator) -> (out[1] = u[1]; nothing), integrated, Float64[0.0];
integrand_inplace = true
),
dt = 0.1
)
@test integrated.integrand[1] == 0.5

# integrand_inplace = true requires a prototype
@test_throws ArgumentError IntegratingSumCallback(
(out, u, t, integrator) -> nothing, IntegrandValuesSum(zeros(1)), nothing;
integrand_inplace = true
)

# integrand_inplace = false forces the allocating form even for in-place problems
prob_iip = ODEProblem((du, u, p, t) -> (du[1] = 1.0; nothing), [0.0], (0.0, 1.0))
integrated = IntegrandValuesSum(zeros(1))
sol = solve(
prob_iip, Euler(),
callback = IntegratingSumCallback(
(u, t, integrator) -> [u[1]], integrated, Float64[0.0];
integrand_inplace = false
),
dt = 0.1
)
@test integrated.integrand[1] == 0.5
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