-
Notifications
You must be signed in to change notification settings - Fork 26.3k
Closed
Labels
module: performanceIssues related to performance, either of kernel code or framework glueIssues related to performance, either of kernel code or framework glueoncall: quantizationQuantization support in PyTorchQuantization support in PyTorchtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
Description
🚀 Feature
Add Conv3dInt8 with Fbgemm backend.
Motivation
Currently our quantized conv ops only support 2d conv. In order to support video understanding models, we have to add quantized version of 3d conv. In caffe2 we have the quantized 3d conv implementation with Fbgemm backend. So we can add the quantized Conv3dInt8 with Fbgemm backend here.
Pitch
Alternatives
Additional context
cc @jerryzh168 @jianyuh @dzhulgakov @raghuramank100 @VitalyFedyunin @ngimel @mruberry
Metadata
Metadata
Labels
module: performanceIssues related to performance, either of kernel code or framework glueIssues related to performance, either of kernel code or framework glueoncall: quantizationQuantization support in PyTorchQuantization support in PyTorchtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module