Skip to content

Add T=bfloat16 to custom_ops registration #2688

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Apr 12, 2022
Merged

Add T=bfloat16 to custom_ops registration #2688

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
00e771e
Add T=bfloat16 to custom_ops registration
szutenberg Apr 11, 2022
c271333
Merge branch 'tensorflow:master' into bfloat16
szutenberg Apr 11, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 3 additions & 2 deletions tensorflow_addons/custom_ops/image/cc/ops/distort_image_ops.cc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,8 @@ REGISTER_OP("Addons>AdjustHsvInYiq")
.Input("scale_s: float")
.Input("scale_v: float")
.Output("output: T")
.Attr("T: {uint8, int8, int16, int32, int64, half, float, double}")
.Attr(
"T: {uint8, int8, int16, int32, int64, half, float, double, bfloat16}")
.SetShapeFn([](InferenceContext* c) {
ShapeHandle images, delta_h, scale_s, scale_v;

Expand Down Expand Up @@ -70,4 +71,4 @@ output: The hsv-adjusted image or images. No clipping will be done in this op.
)Doc");

} // end namespace addons
} // namespace tensorflow
} // namespace tensorflow
6 changes: 3 additions & 3 deletions tensorflow_addons/custom_ops/image/cc/ops/image_ops.cc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,7 @@ components: Component ids for each pixel in "image". Same shape as "image". Zero

REGISTER_OP("Addons>EuclideanDistanceTransform")
.Input("images: uint8")
.Attr("dtype: {float16, float32, float64}")
.Attr("dtype: {bfloat16, float16, float32, float64}")
.Output("transformed_images: dtype")
.SetShapeFn(shape_inference::UnchangedShape)
.Doc(EuclideanDistanceTransformDoc);
Expand All @@ -65,9 +65,9 @@ REGISTER_OP("Addons>ImageConnectedComponents")
.Output("components: int64")
.Attr(
"dtype: {int64, int32, uint16, int16, uint8, int8, half, float, "
"double, bool, string}")
"bfloat16, double, bool, string}")
.SetShapeFn(shape_inference::UnchangedShape)
.Doc(ImageConnectedComponentsDoc);

} // end namespace addons
} // namespace tensorflow
} // namespace tensorflow
6 changes: 3 additions & 3 deletions tensorflow_addons/custom_ops/image/cc/ops/resampler_ops.cc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@ REGISTER_OP("Addons>Resampler")
.Input("data: T")
.Input("warp: T")
.Output("output: T")
.Attr("T: {half, float, double}")
.Attr("T: {bfloat16, half, float, double}")
.SetShapeFn([](InferenceContext* c) {
ShapeHandle data;
ShapeHandle warp;
Expand All @@ -53,7 +53,7 @@ REGISTER_OP("Addons>ResamplerGrad")
.Input("grad_output: T")
.Output("grad_data: T")
.Output("grad_warp: T")
.Attr("T: {half, float, double}")
.Attr("T: {bfloat16, half, float, double}")
.SetShapeFn([](InferenceContext* c) {
c->set_output(0, c->input(0));
c->set_output(1, c->input(1));
Expand All @@ -62,4 +62,4 @@ REGISTER_OP("Addons>ResamplerGrad")
.Doc(R"doc(Resampler Grad op.)doc");

} // namespace addons
} // namespace tensorflow
} // namespace tensorflow
4 changes: 2 additions & 2 deletions tensorflow_addons/custom_ops/layers/cc/ops/embedding_bag_ops.cc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ REGISTER_OP("Addons>EmbeddingBag")
.Input("params: T")
.Input("weights: T")
.Output("output: T")
.Attr("T: {half, float, double}")
.Attr("T: {bfloat16, half, float, double}")
.Attr("Tindices: {int32, int64}")
.Attr("combiner: {'SUM', 'MEAN'} = 'SUM'")
.SetShapeFn([](InferenceContext* c) {
Expand All @@ -51,7 +51,7 @@ REGISTER_OP("Addons>EmbeddingBagGrad")
.Input("grads: T")
.Output("params_grads: T")
.Output("weights_grads: T")
.Attr("T: {half, float, double}")
.Attr("T: {bfloat16, half, float, double}")
.Attr("Tindices: {int32, int64}")
.Attr("combiner: {'SUM', 'MEAN'} = 'SUM'")
.SetShapeFn([](InferenceContext* c) {
Expand Down