Comments (4)
@chenming22 we will work on adding FP16
to resnet50 model. Thanks for reaching out.
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@chenming22 we will work on adding
FP16
to resnet50 model. Thanks for reaching out.
@chenming22 we currently have AMP FP16 TF support based on the PR upstream here: tensorflow/tensorflow#62817. Since the script already supports FP16 input, installing tf-nighty
from pip can provide FP16 support. Can you run the workload again to see if FP16 works as expected?
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thanks @sramakintel , i will have a try.
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hi, @sramakintel , noticed above pr been merged to tf2.16.1, so i install tf2.16.1 from pip and then ran inference.sh in ResNet50 V1.5 inference with precision=fp16, ONEDNN_MAX_CPU_ISA=AVX512_CORE_AMX_FP16 and model: resnet50_v1.pb, but log and metric on emon showed no AMX instructions used, any other environment variables or configurations needed?
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Related Issues (20)
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