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Inf2 example #2399
Inf2 example #2399
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* fix INF2 example handler * Add logging for padding in inf2 handler * update response timeout and model * Update documentation to show opt-6.7b as the example model * Update model batch log --------- Co-authored-by: Naman Nandan <namannan@amazon.com>
Codecov Report
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## master #2399 +/- ##
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Coverage 72.01% 72.01%
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Files 78 78
Lines 3648 3648
Branches 58 58
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Hits 2627 2627
Misses 1017 1017
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Thanks very much @namannandan LGTM
model_name = ctx.model_yaml_config["handler"]["model_name"] | ||
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# allocate "tp_degree" number of neuron cores to the worker process | ||
os.environ["NEURON_RT_NUM_CORES"] = str(tp_degree) |
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How do you make sure neuron has enough number of cores to support tp_degree?
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I believe Here, if the required number of neuron cores, i.e torch-neuronx
currently does not have an API that provides the number of available(unallocated) neuron cores.tp_degree
are not available then the model loading will fail with error of the form:
ERROR TDRV:db_vtpb_get_mla_and_tpb Could not find VNC id 1
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Turns out that torch-neuronx
does have a method to query the number of available unallocated cores using torch_neuronx.xla_impl.data_parallel.device_count()
. Updated the handler to verify that the necessary number of cores are available before proceeding with model loading
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Successfully tested the example:
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Description
Inferentia2 example based on
opt-6.7b
modelType of change
Feature/Issue validation/testing
125m
parameter variant of theopt
model6.7b
parameter variant ofopt
model