Add a QuestionAnswering bert model for testing #19
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…se bfloat16 when initializing the model
| kwargs=new_kwargs, | ||
| new_kwargs = { | ||
| "fill_value": args[1], | ||
| "device": DummyDevice(), |
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| memory_config = g.call_function( | ||
| ttnn.MemoryConfig, | ||
| ( | ||
| DummyTtlTensorTensorMemoryLayoutInterleaved(), | ||
| DummyTtlTensorBufferTypeDram(), | ||
| ), | ||
| ) |
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Can you help to understand whats going on here?
ayerofieiev-tt
approved these changes
Jul 1, 2024
github-merge-queue
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Ticket
#10
Problem description
We want a separate unit test for bert. The
run_transformers.pyscript has the initial implementation, and this PR separates that into a unit test.What's changed
test_bert.pythat runs the reference and compiled model using ttnn backend and compare the inference results.aten.fullwhen scalars are passed to certain ops. Usettnn.full insteadaten._to_copytottnn.as_tensor