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artifact_path: model |
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flavors: |
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python_function: |
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config: |
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device: null |
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data: data |
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env: |
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conda: conda.yaml |
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virtualenv: python_env.yaml |
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loader_module: mlflow.pytorch |
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pickle_module_name: mlflow.pytorch.pickle_module |
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python_version: 3.10.11 |
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pytorch: |
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code: null |
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model_data: data |
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pytorch_version: 2.5.0+cu124 |
|
mlflow_version: 2.17.0 |
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model_size_bytes: 176239334 |
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model_uuid: 23fc55bd7bea4ce0b7ea15d15fb19d4f |
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run_id: 5bc0ffd24c5748ba94f2adc6f33d83f6 |
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signature: |
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inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [1, 3, |
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226, 288]}}]' |
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outputs: '[{"name": "boxes", "type": "tensor", "tensor-spec": {"dtype": "float32", |
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"shape": [71, 4]}}, {"name": "labels", "type": "tensor", "tensor-spec": {"dtype": |
|
"int64", "shape": [71]}}, {"name": "scores", "type": "tensor", "tensor-spec": |
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{"dtype": "float32", "shape": [71]}}, {"name": "masks", "type": "tensor", "tensor-spec": |
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{"dtype": "float32", "shape": [71, 1, 226, 288]}}]' |
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params: null |
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utc_time_created: '2024-10-23 22:18:33.740363' |
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