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Fix type error when spconv doesn't exist #3493

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Nov 15, 2024
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Fix type error when spconv doesn't exist #3493

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13 changes: 9 additions & 4 deletions TrainingExtensions/torch/src/python/aimet_torch/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,7 @@
from aimet_common.utils import AimetLogger, Handle, log_with_error_and_assert_if_false
from aimet_common.utils import profile as _profile, deprecated, _red # pylint:disable = unused-import
import aimet_common.libpymo as libpymo
import aimet_torch.v1.nn.modules.custom as aimet_modules
from aimet_torch.v1.nn.modules.custom import CustomSparseConv3DLayer, Cast
from aimet_torch.v1.tensor_quantizer import TensorQuantizer, StaticGridPerChannelQuantizer, StaticGridPerTensorQuantizer # pylint:disable = cyclic-import

logger = AimetLogger.get_area_logger(AimetLogger.LogAreas.Utils)
Expand Down Expand Up @@ -534,8 +534,13 @@ def is_leaf_module(module):
module_list = list(module.modules())

# pylint: disable=unidiomatic-typecheck
return bool(len(module_list) == 1) or type(module) in modules_to_treat_as_leaf or \
isinstance(module, aimet_modules.CustomSparseConv3DLayer)
ret = bool(len(module_list) == 1) or type(module) in modules_to_treat_as_leaf

if ret:
return ret

return CustomSparseConv3DLayer is not None and\
isinstance(module, CustomSparseConv3DLayer)


def get_input_shape_batch_size(data_loader):
Expand Down Expand Up @@ -1135,7 +1140,7 @@ def get_inout_tensors_dtypes_for_cast_modules(model: torch.nn.Module, input_tens
def record_dtypes(module, inputs, outputs):

# pylint: disable=protected-access
if isinstance(module, aimet_modules.Cast):
if isinstance(module, Cast):
input_dtype = None

if isinstance(inputs, (list, tuple)):
Expand Down
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