AmosLewis · September 14, 2022 17:21
diff --git a/print_bloom_model_output_golden_VS_actual.txt b/print_bloom_model_output_golden_VS_actual.txt
 ➜  SHARK git:(bloom) ✗ python tank/bloom_model.py
 Some weights of BloomForSequenceClassification were not initialized from the model checkpoint at bigscience/bloom-560m and are newly initialized: ['score.weight']
 You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
 /home/chi/src/ubuntu20/shark/SHARK/shark.venv/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
  warnings.warn("The TorchScript type system doesn't support "
 /home/chi/src/ubuntu20/shark/SHARK/shark.venv/lib/python3.10/site-packages/torch/jit/_trace.py:744: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
  warnings.warn(
 Target triple found:x86_64-linux-gnu
 tensor([[  7.2041, -17.0263]], grad_fn=<IndexBackward0>) tensor([[  9.8524, -19.8780]])
	➜ SHARK git:(bloom) ✗ python tank/bloom_model.py
	Some weights of BloomForSequenceClassification were not initialized from the model checkpoint at bigscience/bloom-560m and are newly initialized: ['score.weight']
	You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
	/home/chi/src/ubuntu20/shark/SHARK/shark.venv/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
	warnings.warn("The TorchScript type system doesn't support "
	/home/chi/src/ubuntu20/shark/SHARK/shark.venv/lib/python3.10/site-packages/torch/jit/_trace.py:744: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
	warnings.warn(
	Target triple found:x86_64-linux-gnu
	tensor([[ 7.2041, -17.0263]], grad_fn=<IndexBackward0>) tensor([[ 9.8524, -19.8780]])