The code shows like the following. It could run but prompted some warning:
/opt/conda/lib/python3.10/site-packages/orbax/checkpoint/type_handlers.py:1544: UserWarning: Couldn't find sharding info under RestoreArgs. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file instead of directly from RestoreArgs. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with.
warnings.warn(
# Save the params
if os.path.exists('/user/working/model_params'):
shutil.rmtree('/user/working/model_params')
checkpoint=orbax.checkpoint.PyTreeCheckpointer()
checkpoint.save('/user/working/model_params',params)
checkpoint=orbax.checkpoint.PyTreeCheckpointer()
checkpoint.restore('/user/working/model_params')
The code shows like the following. It could run but prompted some warning: /opt/conda/lib/python3.10/site-packages/orbax/checkpoint/type_handlers.py:1544: UserWarning: Couldn't find sharding info under RestoreArgs. Populating sharding info from sharding file. Please note restoration time will be slightly increased due to reading from file instead of directly from RestoreArgs. Note also that this option is unsafe when restoring on a different topology than the checkpoint was saved with. warnings.warn(
Model params are a dictionary type tree like this: {'params': {'Dense_0': {'bias': Array([ 1.75125599e-02, 4.10381891e-02, 1.96171561e-04, -2.42875870e-02, 1.51480837e-02, 3.71114984e-02, -4.87685064e-03, -1.63130835e-02, 5.47729768e-02, -5.70005644e-03, -5.12132980e-03, 3.10970427e-05, 2.31470224e-02, -1.55021911e-02, 1.72994770e-02, 2.26450190e-02, -3.05333477e-03, 9.84513387e-03, -3.31428014e-02, 3.80380601e-02, -3.20659392e-03, -3.09392507e-03, 1.86821781e-02, -1.25538018e-02, 4.41285521e-02, -4.72985283e-02, 3.28246184e-04, 1.31683890e-02, 1.32193940e-03, 1.48607325e-02, -3.43988538e-02, 8.36286321e-03, -2.90089939e-02, -3.98164280e-02, 2.31531989e-02, 3.27519067e-02, 2.72216517e-02, -2.89463606e-02, 2.44598440e-03, 6.63389359e-03, 4.59096301e-03, -1.23022813e-02, 1.29767824e-02, 4.81516495e-03, -1.20902760e-02, -2.27207374e-02, -1.27110668e-02, 1.20020472e-02, 3.91368084e-02, -4.30837227e-03, 3.32566164e-02, -2.71463916e-02, 2.25058272e-02, -3.91818397e-03, 1.49554424e-02, -6.85477350e-03, 1.01907691e-03, -6.12435490e-02, -1.18386028e-02, -6.03230670e-03, 7.54657155e-03, 8.14247876e-03, -6.61915401e-03, 8.85959063e-03], dtype=float32), 'kernel': Array([[-0.08260956, 0.42094436, -0.27531517, ..., -0.09135673, 0.21974503, 0.21818572], [-0.04729075, -0.2666923 , 0.14365157, ..., 0.13939556, -0.16218886, -0.04071451], [ 0.10921595, 0.01364996, -0.11194808, ..., -0.01299416, -0.02805288, -0.0272818 ], ..., [-0.04990593, -0.01473087, 0.06877133, ..., -0.05618783, -0.06337533, -0.17277789], [-0.10326906, -0.03525492, 0.21592571, ..., -0.06726424, 0.04024971, 0.21430357], [-0.06426816, 0.01593289, 0.01053577, ..., -0.08965493, 0.1562466 , 0.19774263]], dtype=float32)}, 'Dense_1': {'bias': Array([ 0.01895721, 0.02381056, -0.00297396, 0.00253655, -0.00579324, -0.00917996, -0.0524504 , -0.01307405, -0.00445831, -0.01765897, -0.02990872, -0.01783756, -0.00417391, -0.02153626, -0.01237699, 0.00332377], dtype=float32), 'kernel': Array([[-0.0687123 , 0.11527583, 0.02760898, ..., -0.11483309, 0.09793864, 0.24956086], [-0.17475414, 0.06557149, 0.02568068, ..., -0.18699066, -0.235098 , 0.17345282], [ 0.21747173, -0.00923413, -0.04049944, ..., 0.04021717, -0.03704283, 0.13622351], ..., [ 0.1976054 , -0.07143398, 0.11763132, ..., 0.15076494, -0.08623252, 0.08628309], [ 0.142208 , -0.07710048, 0.05116218, ..., 0.05643938, 0.01690205, -0.00337057], [-0.08983981, -0.08721507, 0.05885444, ..., 0.2054291 , -0.0595689 , 0.09482205]], dtype=float32)}, 'Dense_2': {'bias': Array([-0.27287585, -0.31808662, -0.22906446, -0.2392324 , -0.1169002 , -0.45564348, -0.27986547, -0.4403381 , -0.3194529 , -0.03579619, -0.27706683, -0.20705369, -0.3464241 , -0.16313383, -0.3245753 , -0.12070157, -0.10058393, -0.335585 , -0.23487404, -0.13635263, -0.3551262 , -0.19502614, -0.27066055, -0.22264665, -0.17983833, -0.38362965, -0.2549991 , -0.35028023, -0.02632488, -0.24093926, -0.26272595, -0.32823324, -0.1442327 , -0.18271838, -0.3466661 , -0.2975728 , -0.2519938 , -0.20744751, -0.48289314, -0.20181467, -0.0694458 , -0.2868131 , -0.0621618 , -0.1489881 , -0.22316173, -0.26048866, -0.3741152 , -0.22691546, -0.28160262, -0.39583412, -0.44518995, -0.26774997, -0.18526609, -0.3136557 , -0.29002288, -0.2983223 , -0.4889701 , -0.20518056, -0.06886528, -0.18853416, -0.06637306, -0.45197925, -0.3145519 , -0.23673685], dtype=float32), 'kernel': Array([[ 0.01163595, 0.02972907, 0.02223774, ..., 0.0228426 , 0.06626749, 0.04824122], [-0.00046695, -0.08048075, -0.10955726, ..., -0.02934793, -0.04758933, -0.06418303], [-0.1286408 , -0.1255539 , -0.11133979, ..., -0.02911641, -0.16321352, -0.1160882 ], ..., [-0.01398295, -0.02459321, 0.21012494, ..., 0.07538891, -0.08655173, 0.02649066], [ 0.11309541, 0.09003462, -0.01682626, ..., -0.18835074, 0.09409627, 0.05982505], [-0.12019534, -0.06023936, 0.14683168, ..., -0.10527591, -0.0902904 , -0.08336279]], dtype=float32)}, 'Dense_3': {'bias': Array([-0.19127552, -0.1539499 , -0.10825736, -0.1273831 , -0.14423408, -0.10800537, -0.1158509 , -0.19560331, -0.0544809 , -0.12320589, -0.14327425, -0.06410812, -0.06359567, -0.05706155, -0.16820268, -0.06965973], dtype=float32), 'kernel': Array([[-0.17942922, -0.2944296 , -0.15672816, ..., -0.22876067, 0.04339508, -0.00558091], [ 0.00910171, 0.00975822, -0.06065388, ..., -0.14715518, -0.05254569, -0.09955268], [-0.1705753 , -0.0021669 , 0.120933 , ..., -0.01333852, -0.09636445, -0.13689627], ..., [-0.07949128, -0.12297069, -0.30489385, ..., 0.08778288, -0.10832835, -0.20170009], [-0.00643041, -0.06448855, -0.02339345, ..., -0.1243507 , 0.10904145, 0.01637404], [-0.15585563, -0.07519744, -0.05542706, ..., -0.0285616 , -0.03688109, -0.07460079]], dtype=float32)}}}
How should I fix this? Thx.