Sparse ten_J and ten_J_colind memory

PiperOrigin-RevId: 868834376
Change-Id: Iec92d9e09e3134666895e54a78cb02439d74a4de
This commit is contained in:
Google DeepMind
2026-02-11 14:04:45 -08:00
committed by Copybara-Service
parent b466829482
commit 336e1026a4
21 changed files with 43 additions and 118 deletions
+2 -7
View File
@@ -1242,11 +1242,6 @@ STRUCTS: Mapping[str, StructDecl] = dict([
type=ValueType(name='mjtSize'),
doc='number of non-zeros in sparse actuator_moment matrix',
),
StructFieldDecl(
name='nJten',
type=ValueType(name='mjtSize'),
doc='number of non-zeros in sparse ten_J matrix',
),
StructFieldDecl(
name='ngravcomp',
type=ValueType(name='mjtSize'),
@@ -5834,7 +5829,7 @@ STRUCTS: Mapping[str, StructDecl] = dict([
inner_type=ValueType(name='int'),
),
doc='column indices in sparse Jacobian',
array_extent=('nJten',),
array_extent=('ntendon', 'nv'),
),
StructFieldDecl(
name='ten_J',
@@ -5842,7 +5837,7 @@ STRUCTS: Mapping[str, StructDecl] = dict([
inner_type=ValueType(name='mjtNum'),
),
doc='tendon Jacobian',
array_extent=('nJten',),
array_extent=('ntendon', 'nv'),
),
StructFieldDecl(
name='ten_length',