Add peak BF16 TFLOPS for AWS Trainium/Inferentia devices#2382
Add peak BF16 TFLOPS for AWS Trainium/Inferentia devices#2382tianyu-l merged 1 commit intopytorch:mainfrom
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Can you fix lint error before merging it? @rthekini-aws |
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The CLA should be signed. I'll follow up with |
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Add TensorEngine-only BF16 peak TFLOPS for Neuron devices to enable accurate MFU calculation on AWS Trainium and Inferentia instances. - NeuronCore-v2 (trn1, trn1n, inf2): 90 TFLOPS/core, LNC=1 - NeuronCore-v3 (trn2, trn2n, trn2u): 79 TFLOPS/core, LNC=2 - NeuronCore-v4 (trn3, trn3u): 79 TFLOPS/core, LNC=2
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Add TensorEngine-only BF16 peak TFLOPS for Neuron devices to enable accurate MFU calculation on AWS Trainium and Inferentia instances.