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Enable batch trial generation #232

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merged 2 commits into from
Aug 1, 2024
Merged

Enable batch trial generation #232

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37cc5f9
Enable batch trial generation
AngelFP Apr 21, 2023
4d8096e
Merge branch 'main' into generate_batch_trials
RemiLehe Jul 17, 2024
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34 changes: 16 additions & 18 deletions optimas/gen_functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,24 +68,22 @@ def persistent_generator(H, persis_info, gen_specs, libE_info):
# Ask the optimizer to generate `batch_size` new points
# Store this information in the format expected by libE
H_o = np.zeros(number_of_gen_points, dtype=gen_specs["out"])
for i in range(number_of_gen_points):
generated_trials = generator.ask(1)
if generated_trials:
trial = generated_trials[0]
for var, val in zip(
trial.varying_parameters, trial.parameter_values
):
H_o[var.name][i] = val
run_params = gen_specs["user"]["run_params"]
if "task" in H_o.dtype.names:
H_o["task"][i] = trial.trial_type
run_params = run_params[trial.trial_type]
if trial.custom_parameters is not None:
for par in trial.custom_parameters:
H_o[par.save_name][i] = getattr(trial, par.name)
H_o["trial_index"][i] = trial.index
H_o["num_procs"][i] = run_params["num_procs"]
H_o["num_gpus"][i] = run_params["num_gpus"]
generated_trials = generator.ask(number_of_gen_points)
for i, trial in enumerate(generated_trials):
for var, val in zip(
trial.varying_parameters, trial.parameter_values
):
H_o[var.name][i] = val
run_params = gen_specs["user"]["run_params"]
if "task" in H_o.dtype.names:
H_o["task"][i] = trial.trial_type
run_params = run_params[trial.trial_type]
if trial.custom_parameters is not None:
for par in trial.custom_parameters:
H_o[par.save_name][i] = getattr(trial, par.name)
H_o["trial_index"][i] = trial.index
H_o["num_procs"][i] = run_params["num_procs"]
H_o["num_gpus"][i] = run_params["num_gpus"]

n_gens += np.sum(H_o["num_procs"] != 0)
n_failed_gens = np.sum(H_o["num_procs"] == 0)
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