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ultralytics 8.0.52 reduced TAL CUDA usage and AMP check fix (#1333)

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Glenn Jocher 2023-03-10 03:27:06 +01:00 • committed by GitHub
parent 790f9c067c
commit 177a68b39f
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21 changed files with 132 additions and 147 deletions
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6
ultralytics/nn/autobackend.py
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@ -184,7 +184,7 @@ class AutoBackend(nn.Module):
LOGGER.info(f'Loading {w} for CoreML inference...')
import coremltools as ct
model = ct.models.MLModel(w)
metadata = model.user_defined_metadata
metadata = dict(model.user_defined_metadata)
elif saved_model: # TF SavedModel
LOGGER.info(f'Loading {w} for TensorFlow SavedModel inference...')
import tensorflow as tf
@ -256,10 +256,10 @@ class AutoBackend(nn.Module):
nhwc = model.runtime.startswith("tensorflow")
'''
else:
from ultralytics.yolo.engine.exporter import EXPORT_FORMATS_TABLE
from ultralytics.yolo.engine.exporter import export_formats
raise TypeError(f"model='{w}' is not a supported model format. "
'See https://docs.ultralytics.com/tasks/detection/#export for help.'
f'\n\n{EXPORT_FORMATS_TABLE}')
f'\n\n{export_formats()}')
# Load external metadata YAML
if isinstance(metadata, (str, Path)) and Path(metadata).exists():