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013a5135ae |
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poetry.lock
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1350
poetry.lock
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@ -12,6 +12,7 @@ python = ">=3.10,<3.11"
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tensorflow = "^2.10.0"
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tensorflow = "^2.10.0"
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numpy = "^1.23.4"
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numpy = "^1.23.4"
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pillow = "^8.3.2"
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pillow = "^8.3.2"
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flatbuffers = "<2.11"
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[tool.poetry.group.dev.dependencies]
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[tool.poetry.group.dev.dependencies]
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mypy = "^0.982"
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mypy = "^0.982"
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@ -187,7 +187,7 @@ def train(model_type: str, record_field: str, batch_size: int, slide_size: int,
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# Save model for tensorflow using
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# Save model for tensorflow using
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model.save(f'/opt/ml/model/model_{record_field.replace("_", "")}_{model_type}_{str(img_width)}x{str(img_height)}h{str(horizon)}')
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model.save(f'/opt/ml/model/model_{record_field.replace("_", "")}_{model_type}_{str(img_width)}x{str(img_height)}h{str(horizon)}')
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def representative_dataset() -> typing.Generator[typing.List[tf.float32], typing.Any, None]:
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def representative_dataset() -> typing.Generator[typing.List[float], typing.Any, None]:
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for d in tf.data.Dataset.from_tensor_slices(images).batch(1).take(100):
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for d in tf.data.Dataset.from_tensor_slices(images).batch(1).take(100):
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yield [tf.dtypes.cast(d, tf.float32)]
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yield [tf.dtypes.cast(d, tf.float32)]
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