[OPT] Add grads parameter to optimizer configuration

Leguark · Leguark · commit 07c5095ea7a0 · 2025-09-30T08:43:45.000+02:00
Enabled gradient computation in the optimizer initialization by adding the `grads` parameter for enhanced flexibility in optimization workflows.
diff --git a/gempy/modules/optimize_nuggets/_optimizer.py b/gempy/modules/optimize_nuggets/_optimizer.py
@@ -25,6 +25,7 @@ def nugget_optimizer(
         engine_backend=engine_cfg.backend,
         use_gpu=engine_cfg.use_gpu,
         dtype=engine_cfg.dtype,
+        grads=True
     )
 
     # 2) Prepare data

Original file line number	Diff line number	Diff line change
`@@ -25,6 +25,7 @@ def nugget_optimizer(`
`25`	`25`	`engine_backend=engine_cfg.backend,`
`26`	`26`	`use_gpu=engine_cfg.use_gpu,`
`27`	`27`	`dtype=engine_cfg.dtype,`
	`28`	`+ grads=True`
`28`	`29`	`)`
`29`	`30`
`30`	`31`	`# 2) Prepare data`