# Does gurobi support a different precision other than float64

**URL:** <https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658>\
**Category:** Optimization (Mathematical)\
**Tags:** jump, gurobi\
**Created:** [July 31, 2024, 2:40am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658 "2024-07-31T02:40:45Z")\
**Posts on this page:** 20\
**Page:** 1

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**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [July 31, 2024, 2:40am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/1 "2024-07-31T02:40:45Z")

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I want to reduce my model memory consumption with JuMP and Gurobi as solver. With about 0.3 billion variables in the model, the memory consumption increases to 1.5 TB, which exceeds my machine’s physical limit. JuMP supports to construct the model with a lower precision like Float32 but I don’t know whether Gurobi supports that since little documentation exists in this aspect. Could anyone provide some help?

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**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [July 31, 2024, 4:05am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/2 "2024-07-31T04:05:46Z")

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No, it does not.

Note that even if you could build your problem, it is unlikely to solve in any reasonable amount of time. It is too large.

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<div class="post-metadata">

**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [July 31, 2024, 4:40am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/3 "2024-07-31T04:40:13Z")

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Thanks for your reply. Thanks♪(･ω･)ﾉ

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<div class="post-metadata">

**Author:** ![gdalle](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gdalle/32/27854_2.png) [@gdalle](https://discourse.julialang.org/u/gdalle)\
**Post date:** [July 31, 2024, 5:32am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/4 "2024-07-31T05:32:34Z")

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Out of curiosity, where did you find a model so large?

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<div class="post-metadata">

**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [July 31, 2024, 5:56am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/5 "2024-07-31T05:56:14Z")

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I’m doing an optimization problem of energy system planning with over 25,000 renewable resources in spatial representation and a yearly horizon in temporal aspect, leading to over 1e8 variables.

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<div class="post-metadata">

**Author:** ![gdalle](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gdalle/32/27854_2.png) [@gdalle](https://discourse.julialang.org/u/gdalle)\
**Post date:** [July 31, 2024, 5:59am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/6 "2024-07-31T05:59:50Z")

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Yeah if that’s an integer program you’re gonna have to reduce or decompose it somehow. I’m not even sure that linear programs this big can be solved at all

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<div class="post-metadata">

**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [July 31, 2024, 6:20am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/7 "2024-07-31T06:20:36Z")

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At present I keep the model linear by relaxing the unit commit constraints and intend to introduce integer variables gradually. As for the solving part, Gurobi could solve this problem in about 10 hours.

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<div class="post-metadata">

**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [July 31, 2024, 7:19am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/8 "2024-07-31T07:19:32Z")

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Are you using `direct_model`?

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<div class="post-metadata">

**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [July 31, 2024, 7:23am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/9 "2024-07-31T07:23:37Z")

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@odow No, just the `Model()` constructor. Will `direct_model()` save some memory consumption?

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<div class="post-metadata">

**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [July 31, 2024, 7:39am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/10 "2024-07-31T07:39:11Z")

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Yes, approximately half of the model size (not total, because solve uses some).

See [Models · JuMP](https://jump.dev/JuMP.jl/stable/manual/models/#Direct-mode)

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**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [July 31, 2024, 7:47am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/11 "2024-07-31T07:47:36Z")

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w(ﾟДﾟ)w, that’s an incredible reduction especially for my situation. I see that warning says 1.the solution query may experience some erros if I modify the model and 2.some constraints may not be supported.  
I’m not quite sure about the `modify the model` part. Does this mean solving the problem first and then modifying the model for another run?  
For a linear model, I guess 2 will not affect my experience since linear programming is well supported by Gurobi or HiGHS.

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<div class="post-metadata">

**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [July 31, 2024, 8:15am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/12 "2024-07-31T08:15:51Z")

</div>

You can ignore 1 if you are using Gurobi.

For 2, this is only a problem if you have interval constraints. But an error will be thrown if you do.

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<div class="post-metadata">

**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [July 31, 2024, 10:24am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/13 "2024-07-31T10:24:08Z")

</div>

Well I do have a lot of box constraints but I constructed them seperately. The model construction process is successful. However, when I try to delete some constraints and unregister them from the model, the process was stuck using `direct_model`. `Model` constructor takes about 5 secs to do this while `direct_model` fails.

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**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [July 31, 2024, 11:41am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/14 "2024-07-31T11:41:03Z")

</div>

I managed to work out a minimum example.

```julia
using JuMP
using Dates
using Gurobi

Z = 3
G = 2100
T = 8760

m = Model(Gurobi.Optimizer)
println(Dates.now(), " Model")
@variable(m, 0 <= x[1:G, 1:T] <= 1)
println(Dates.now(), " Variable")
@expression(m, y[z in 1:Z, t in 1:T], sum(x[g, t] for g in filter(g -> g % z == 0, 1:G)))
@expression(m, obj, sum(rand() * m[:y][z, t] for z in 1:Z, t in 1:T))
println(Dates.now(), " Expression")
@constraint(m, c1, sum(m[:x][z, t] for z in 1:Z, t in 1:T) == 18000)
@constraint(m, c2[z in 1:Z], sum(m[:x][z, t] for t in 1:T) == 6000)
@constraint(m, c3[t in 1:T], sum(m[:x][z, t] for z in 1:Z) == 3)
println(Dates.now(), " Constraint")
@objective(m, Max, obj)
println(Dates.now(), " Objective")

delete.(m, m[:c3])
println(Dates.now(), " Deletion")
unregister(m, :c3)

```

The above example performs deletion successfully while `direct_model` did not. Test machine is a MacOS with 32GB RAM.

```julia
using JuMP
using Dates
using Gurobi

Z = 3
G = 2100
T = 8760

m = direct_model(Gurobi.Optimizer())
println(Dates.now(), " Model")
@variable(m, 0 <= x[1:G, 1:T] <= 1)
println(Dates.now(), " Variable")
@expression(m, y[z in 1:Z, t in 1:T], sum(x[g, t] for g in filter(g -> g % z == 0, 1:G)))
@expression(m, obj, sum(rand() * m[:y][z, t] for z in 1:Z, t in 1:T))
println(Dates.now(), " Expression")
@constraint(m, c1, sum(m[:x][z, t] for z in 1:Z, t in 1:T) == 18000)
@constraint(m, c2[z in 1:Z], sum(m[:x][z, t] for t in 1:T) == 6000)
@constraint(m, c3[t in 1:T], sum(m[:x][z, t] for z in 1:Z) == 3)
println(Dates.now(), " Constraint")
@objective(m, Max, obj)
println(Dates.now(), " Objective")

delete.(m, m[:c3])
println(Dates.now(), " Deletion")
unregister(m, :c3)

```

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<div class="post-metadata">

**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [July 31, 2024, 9:26pm UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/15 "2024-07-31T21:26:06Z")

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I cannot reproduce. What goes wrong? Is there an error?

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<div class="post-metadata">

**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [August 1, 2024, 2:36am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/16 "2024-08-01T02:36:09Z")

</div>

No, it just stuck on my Mac. The `direct_model` version never made it to the deletion step.

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<div class="post-metadata">

**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [August 1, 2024, 2:51am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/17 "2024-08-01T02:51:12Z")

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The deletion is quick and successful using `Model()`. The logs are attached

```julia
2024-08-01T10:45:08.851 Model
2024-08-01T10:45:25.116 Variable
2024-08-01T10:45:41.674 Expression
2024-08-01T10:45:42.042 Constraint
2024-08-01T10:45:47.135 Objective
2024-08-01T10:45:47.282 Deletion

```

While `direct_model` version neither reports an error nor performs deletion step. I tested this on my Mac and a linux and `direct_model` just stuck.

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<div class="post-metadata">

**Author:** ![odow](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/odow/32/28685_2.png) [@odow](https://discourse.julialang.org/u/odow)\
**Post date:** [August 1, 2024, 2:55am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/18 "2024-08-01T02:55:32Z")

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> [@Betristor](#):
>
> `delete.(m, m[:c3])`

Try the batched deletion:

```julia
delete(m, m[:c3])

```

Note the missing `.`.

Deleting a constraint is an expensive operation, and you are doing a lot of them.

As a side note: why do you need to delete constraints?

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<div class="post-metadata">

**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [August 1, 2024, 3:03am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/19 "2024-08-01T03:03:07Z")

</div>

I’m curious about the difference between two versions. `Model` version performs deletion very fast.  
I constructed a general model for energy system optimization and modify some constraints according to my specific scenarios. The motivations lay that basic modeling is written in a seperate Module and could be applied to many different cases with minor modifications.

---

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**Author:** ![Betristor](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/betristor/32/45264_2.png) [@Betristor](https://discourse.julialang.org/u/Betristor)\
**Post date:** [August 1, 2024, 3:11am UTC](https://discourse.julialang.org/t/does-gurobi-support-a-different-precision-other-than-float64/117658/20 "2024-08-01T03:11:15Z")

</div>

By the way, I have experienced an error that using batch deletion on multi-indexed constraints crushed while element-wise operation worked long ago. Since that I tend to use dot operation with deletion.

```julia
ERROR: MethodError: no method matching delete(::Model, ::Matrix{ConstraintRef{Model, MathOptInterface.ConstraintIndex{…}, ScalarShape}})

Closest candidates are:
  delete(::Model, ::NonlinearConstraintRef)
   @ JuMP ~/.julia/packages/JuMP/7rBNn/src/nlp.jl:555
  delete(::GenericModel, ::Vector{<:GenericVariableRef})
   @ JuMP ~/.julia/packages/JuMP/7rBNn/src/variables.jl:513
  delete(::GenericModel, ::Vector{<:ConstraintRef})
   @ JuMP ~/.julia/packages/JuMP/7rBNn/src/constraints.jl:610
  ...

```

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