Skip to content

handle static ints and floats #140

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

Closed
wants to merge 1 commit into from
Closed

handle static ints and floats #140

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
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: 5 additions & 0 deletions backends/xnnpack/operators/node_visitor.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -230,6 +230,7 @@ def define_tensor(
# Get new xnn id for tensor value
ext_id, id_out, flag = self.gen_ids_and_flags(tensor, xnn_graph, quant_params)
dims = get_shape(tensor)
dims = [1] if len(dims) == 0 else dims

# constant values serialize data
buffer_idx = self.get_serialized_buffer(
Expand Down Expand Up @@ -336,6 +337,10 @@ def get_serialized_buffer(
# Quantize buffer if static data is indeed quantized
if quant_params is not None and not quant_params.is_dynamic:
const_val = quant_params.quantize_tensor(const_val).contiguous()
else:
# ensure that the const is fp32
const_val = const_val.to(dtype=torch.float32).contiguous()

if swap_nc_for_depthwise_weights:
const_val = const_val.permute(
dims=((1, 0) + tuple(range(2, const_val.dim())))
Expand Down
3 changes: 3 additions & 0 deletions backends/xnnpack/partition/configs.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,9 @@

SUPPORTED_MODULES = [
torch.nn.Conv1d,
# TODO(T161981984) recomposed hardswish into a single node
torch.nn.Hardswish,
torch.nn.Hardsigmoid,
torch.nn.Conv2d,
torch.nn.ReLU,
torch.nn.Sigmoid,
Expand Down