How to Migrate minto.v0 Experiment to minto.v1#
This notebook is a guide to help you migrate your minto.v0 experiment to minto.v1.
import minto
import numpy as np
import jijmodeling as jm
tsp = minto.problems.tsp.QuadTSP()
tsp_problem = tsp.problem()
tsp_data = tsp.data(n=8)
minto.v0 experiment#
You can use the v0.x.x version of the minto in v1.x.x with minto.v1.
In the following, we create a simple experiment using minto.v0 and then migrate it to minto.v1.
import jijmodeling_transpiler as jmt
compiled_instance = jmt.core.compile_model(tsp_problem, tsp_data)
qubo_builder = jmt.core.pubo.transpile_to_pubo(compiled_instance)
qubo, _ = qubo_builder.get_qubo_dict()
import minto.v0
import openjij as oj
sampler = oj.SASampler()
sweeps_list = np.arange(100, 1000, 100)
exp_v0 = minto.v0.Experiment("v0_exp")
for sweeps in sweeps_list:
with exp_v0.run():
response = sampler.sample_qubo(qubo, num_reads=10, num_sweeps=sweeps)
sampleset = jmt.core.pubo.openjij_decode.decode_from_openjij(
response,
qubo_builder,
compiled_instance
)
sampleset = jm.experimental.from_old_sampleset(sampleset)
exp_v0.log_result("result", sampleset)
exp_v0.log_parameter("sweeps", sweeps)
exp_v0.table(enable_sampleset_expansion=False)
| experiment_name | run_id | sweeps | result | |
|---|---|---|---|---|
| 0 | v0_exp | 0 | 100 | (Sample(run_id="b62a278d-91eb-4413-aa4d-1f6df4... |
| 1 | v0_exp | 1 | 200 | (Sample(run_id="80153cc8-a3ec-42de-9199-13f121... |
| 2 | v0_exp | 2 | 300 | (Sample(run_id="fa4d1964-8a02-40d8-acd4-a01eb9... |
| 3 | v0_exp | 3 | 400 | (Sample(run_id="cc854ff9-fb96-424c-ae5b-10ed4e... |
| 4 | v0_exp | 4 | 500 | (Sample(run_id="421e6577-b98f-4a21-a0a3-4ca75b... |
| 5 | v0_exp | 5 | 600 | (Sample(run_id="7a9526ee-46cb-4791-b994-cb376c... |
| 6 | v0_exp | 6 | 700 | (Sample(run_id="37557e74-9854-490d-a8c0-92062c... |
| 7 | v0_exp | 7 | 800 | (Sample(run_id="64a6df02-c64e-46ec-9c05-4dc2a4... |
| 8 | v0_exp | 8 | 900 | (Sample(run_id="ace33c00-8ac4-43b0-81b9-4a3d4a... |
Migrate from minto.v0 to minto.v1#
To migrate from minto.v0 to minto.v1, you need to use migrate_to_v1_from_v0 function.
from minto.migrator.v0tov1 import migrate_to_v1_from_v0
exp_v1 = migrate_to_v1_from_v0(exp_v0)
exp_v1.get_run_table()
| sampleset_result | parameter | metadata | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| num_samples | obj_mean | obj_std | obj_min | obj_max | feasible | feasible_unrelaxed | name | sweeps | run_id | elapsed_time | |
| run_id | |||||||||||
| 0 | 10 | 3.522054 | 0.390917 | 2.883244 | 4.207748 | 10 | 10 | result | 100 | 0 | 0.001561 |
| 1 | 10 | 3.421715 | 0.495696 | 2.869669 | 4.380822 | 10 | 10 | result | 200 | 1 | 0.001403 |
| 2 | 10 | 3.105068 | 0.494227 | 2.661808 | 4.098958 | 10 | 10 | result | 300 | 2 | 0.001363 |
| 3 | 10 | 3.198603 | 0.354913 | 2.831967 | 3.925243 | 10 | 10 | result | 400 | 3 | 0.001273 |
| 4 | 10 | 3.037024 | 0.241666 | 2.700304 | 3.529449 | 10 | 10 | result | 500 | 4 | 0.001263 |
| 5 | 10 | 3.153340 | 0.350452 | 2.661808 | 3.869771 | 10 | 10 | result | 600 | 5 | 0.001405 |
| 6 | 10 | 3.276451 | 0.363259 | 2.709548 | 3.735491 | 10 | 10 | result | 700 | 6 | 0.001281 |
| 7 | 10 | 3.223950 | 0.388657 | 2.700304 | 3.665643 | 10 | 10 | result | 800 | 7 | 0.001315 |
| 8 | 10 | 3.274044 | 0.326622 | 2.987036 | 3.910863 | 10 | 10 | result | 900 | 8 | 0.001294 |
Then you can save the migrated experiment using .save() or .save_as_ommx_archive function.
# exp_v1.save() # save the experiment at disk
# exp_v1.save_as_ommx_archive("v1_exp.ommx") # save the experiment as an ommx archive