[mlir-tensorrt] Raise activations from their elementwise representation to tensorrt.activation Op #679
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR adds new raising from
tensorrt.elemetnwiseOps totensorrt.activationfor the GELU Tanh (when created by torch-mlir) and GELU Erf. This also includes raising frommin(a, max(x, y))to the CLIP activation (which is used by clip and ReLU6 by torch-mlir). Merging these elementwise ops in to thetensorrt.activationtype enables for TensorRT to fuse the activation into a proceeding linear layer's kernel (matrix multiply + elementwise sum).