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In-framework deployment NeMo 2.0 nemo_export.py test #11749
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@@ -141,7 +141,7 @@ def query_llm( | |||
"object": "text_completion", | |||
"created": int(time.time()), | |||
"model": self.model_name, | |||
"choices": [{"text": str(sentences)}], | |||
"choices": [{"text": sentences}], |
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Projecting NumPy array to string makes it hard to recover it later for further processing (note missing comma ","
after the first element):
str(np.array([["a"], ["b"]])) == "[['a']\n ['b']]"
Signed-off-by: Jan Lasek <[email protected]>
Signed-off-by: Jan Lasek <[email protected]>
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Signed-off-by: janekl <[email protected]>
Signed-off-by: Jan Lasek <[email protected]>
Signed-off-by: Jan Lasek <[email protected]>
Signed-off-by: Jan Lasek <[email protected]>
Signed-off-by: janekl <[email protected]>
Signed-off-by: Jan Lasek <[email protected]>
Dockerfile.ci
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@@ -72,6 +72,7 @@ pip install --no-cache-dir --no-build-isolation --extra-index-url https://pypi.n | |||
"llama-index==0.10.43" \ | |||
"onnxscript @ git+https://github.com/microsoft/onnxscript" \ | |||
-r tools/ctc_segmentation/requirements.txt \ | |||
-r requirements/requirements_infer.txt \ |
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Would it make sense to embed this into setup.py? What reasons may speak against it?
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Good idea. I can offer sth like 398b0e7
from megatron.core.inference.common_inference_params import CommonInferenceParams | ||
from pytorch_lightning.trainer.trainer import Trainer |
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This Trainer
was deprecated. Using it now leads to the error like:
ValueError: You selected an invalid strategy name: `strategy=<nemo.collections.nlp.parts.nlp_overrides.NLPDDPStrategy object at 0x7f7030512c20>`.
It must be either a string or an instance of `pytorch_lightning.strategies.Strategy`. Example choices: auto, ddp, ddp_spawn, deepspeed, ...
Find a complete list of options in our documentation at https://lightning.ai
Signed-off-by: Jan Lasek <[email protected]>
Signed-off-by: Jan Lasek <[email protected]>
beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base. Your code was analyzed with PyLint. The following annotations have been identified:
Mitigation guide:
By applying these rules, we reduce the occurance of this message in future. Thank you for improving NeMo's documentation! |
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Thanks a lot for moving requirements! One QQ and then we're good to go
[🤖]: Hi @janekl 👋, We wanted to let you know that a CICD pipeline for this PR just finished successfully So it might be time to merge this PR or get some approvals I'm just a bot so I'll leave it you what to do next. //cc @pablo-garay @ko3n1g |
What does this PR do ?
Adding
nemo_export.py --in-framework True [...]
test in Github Actions. This also includes:generate
method forMegatronLLMDeployableNemo2
for parity with NeMo 1.0generate
forMegatronLLMDeployable
Collection: NLP/ LLM
Usage
See edits in
.github/workflows/cicd-main.yml
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