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Fix mint BatchNorm param loading, levit test pass #1091

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Fix mint BatchNorm param loading, levit test pass #1091

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e79540c
fix mint BatchNorm param loading, levit test pass
SamitHuang Jun 17, 2025
5e82e34
linting
SamitHuang Jun 17, 2025
6815ffe
fix imagegpt test
SamitHuang Jun 18, 2025
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13 changes: 7 additions & 6 deletions tests/modeling_test_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
from ml_dtypes import bfloat16

import mindspore as ms
from mindspore import mint, nn, ops
from mindspore import nn, ops

logger = logging.getLogger("ModelingsUnitTest")

Expand Down Expand Up @@ -124,10 +124,10 @@ def get_pt2ms_mappings(m):
mappings[f"{name}.running_mean"] = f"{name}.moving_mean", lambda x: x
mappings[f"{name}.running_var"] = f"{name}.moving_variance", lambda x: x
mappings[f"{name}.num_batches_tracked"] = None, lambda x: x
elif isinstance(cell, (mint.nn.BatchNorm1d, mint.nn.BatchNorm2d, mint.nn.BatchNorm3d)):
# TODO: for mint.nn, the dtype for each param should expected to be same among torch and mindspore
# this is a temporary fix, delete this branch in future.
mappings[f"{name}.num_batches_tracked"] = f"{name}.num_batches_tracked", lambda x: x.to(ms.float32)
# num_batches_tracked is int64 in ms2.6
# elif isinstance(cell, (mint.nn.BatchNorm1d, mint.nn.BatchNorm2d, mint.nn.BatchNorm3d)):
# # this is a temporary fix, delete this branch in future.
# mappings[f"{name}.num_batches_tracked"] = f"{name}.num_batches_tracked", lambda x: x.to(ms.float32)
return mappings


Expand All @@ -143,8 +143,9 @@ def convert_state_dict(m, state_dict_pt):
state_dict_ms = {}
for name_pt, data_pt in state_dict_pt.items():
name_ms, data_mapping = mappings.get(name_pt, (name_pt, lambda x: x))
# data_pt can be int
data_ms = ms.Parameter(
data_mapping(ms.Tensor.from_numpy(data_pt.float().numpy()).to(dtype_mappings[data_pt.dtype])), name=name_ms
data_mapping(ms.Tensor.from_numpy(data_pt.numpy()).to(dtype_mappings[data_pt.dtype])), name=name_ms
)
if name_ms is not None:
state_dict_ms[name_ms] = data_ms
Expand Down
2 changes: 1 addition & 1 deletion tests/transformers_tests/models/imagegpt/test_modeling_imagegpt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@
from tests.transformers_tests.models.modeling_common import ids_numpy, random_attention_mask

DTYPE_AND_THRESHOLDS = {"fp32": 1e-3, "fp16": 1e-2, "bf16": 1e-2}
MODES = [0, 1]
MODES = [0]

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
Expand Down