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Some model cannot to bfloat16 dtype #525

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swimdi opened this issue Nov 28, 2024 · 0 comments

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swimdi commented Nov 28, 2024 •

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These model will call the nms_kernel function, and nms_kernel cannot run on bfloat16

MobileNetSSD
ssd300_vgg16
ssdlite320_mobilenet_v3_large
retinanet_resnet50_fpn
retinanet_resnet50_fpn_v2

So cannot set model.to(torch.bfloat16), so their convolution node encounter

RuntimeError: expected scalar type BFloat16 but found Float

Which means its input is bfloat16 (from ttnn) and weight is float32 (origin argument). I think compiler should have capable to solve this problem

The text was updated successfully, but these errors were encountered:

swimdi mentioned this issue

Sweep the ❌ models(no train) #523

Merged

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