Skip to content
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

Jump to bottom

[ONNX] Add silu operator support for onnx #51193

Merged
merged 2 commits into from
Jan 29, 2021
Merged

[ONNX] Add silu operator support for onnx #51193

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
b18ea98
Support Silu Operator for ONNX
Jan 27, 2021
99d8195
Fixed format
Jan 29, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
12 changes: 12 additions & 0 deletions test/onnx/test_pytorch_onnx_onnxruntime.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4346,6 +4346,18 @@ def forward(self, x):
dynamic_axes={'x': [1, 2]},
test_with_inputs=[y])

def test_silu(self):
class SiLUModel(torch.nn.Module):
def __init__(self):
super(SiLUModel, self).__init__()
self.silu = torch.nn.SiLU()

def forward(self, x):
return self.silu(x)

x = torch.randn(2, 3, 4)
self.run_test(SiLUModel(), (x))

def test_remainder(self):
class RemainderModel(torch.nn.Module):
def forward(self, input, other):
Expand Down
4 changes: 4 additions & 0 deletions torch/onnx/symbolic_opset9.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -660,6 +660,10 @@ def prelu(g, self, weight):
return g.op("PRelu", self, weight)


def silu(g, input):
return g.op('Mul', input, g.op('Sigmoid', input))


def relu(g, input):
return g.op("Relu", input)

Expand Down