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[ONNX] Fix the shape of PReLU weight #21330

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[ONNX] Fix the shape of PReLU weight #21330

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ab46102
Fix the shape of PReLU weight
daquexian Jun 4, 2019
3764512
Add self.isCompleteTensor()
daquexian Jun 12, 2019
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89 changes: 89 additions & 0 deletions test/onnx/expect/TestOperators.test_prelu.expect
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Original file line number Diff line number Diff line change
@@ -0,0 +1,89 @@
ir_version: 4
producer_name: "pytorch"
producer_version: "1.1"
graph {
node {
input: "weight"
output: "2"
op_type: "Unsqueeze"
attribute {
name: "axes"
ints: 1
ints: 2
type: INTS
}
}
node {
input: "input"
input: "2"
output: "3"
op_type: "PRelu"
}
name: "torch-jit-export"
initializer {
dims: 2
data_type: 1
name: "weight"
raw_data: "\000\000\200>\000\000\200>"
}
input {
name: "input"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 1
}
dim {
dim_value: 2
}
dim {
dim_value: 3
}
dim {
dim_value: 4
}
}
}
}
}
input {
name: "weight"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 2
}
}
}
}
}
output {
name: "3"
type {
tensor_type {
elem_type: 1
shape {
dim {
dim_value: 1
}
dim {
dim_value: 2
}
dim {
dim_value: 3
}
dim {
dim_value: 4
}
}
}
}
}
}
opset_import {
version: 9
}
4 changes: 4 additions & 0 deletions test/onnx/test_operators.py
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Original file line number Diff line number Diff line change
Expand Up @@ -518,6 +518,10 @@ def test_rrelu(self):
x = torch.randn(1, 2, 3, 4)
self.assertONNX(torch.nn.RReLU(), x)

def test_prelu(self):
x = torch.randn(1, 2, 3, 4)
self.assertONNX(torch.nn.PReLU(2), x)

def test_log_sigmoid(self):
x = torch.randn(1, 2, 3, 4)
self.assertONNX(torch.nn.LogSigmoid(), x)
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4 changes: 4 additions & 0 deletions torch/onnx/symbolic_opset9.py
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Expand Up @@ -393,6 +393,10 @@ def squeeze(g, self, dim=None):


def prelu(g, self, weight):
if self.isCompleteTensor():
self_sizes = self.type().sizes()
if self_sizes and len(self_sizes) > 2:
weight = g.op("Unsqueeze", weight, axes_i=list(range(1, len(self_sizes) - 1)))
return g.op("PRelu", self, weight)


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