diff --git a/testdata/dnn/onnx/data/input_sub_from_const1.npy b/testdata/dnn/onnx/data/input_sub_from_const1.npy
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index 000000000..7ebf75d8a
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diff --git a/testdata/dnn/onnx/data/input_sub_from_const_broadcast.npy b/testdata/dnn/onnx/data/input_sub_from_const_broadcast.npy
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index 000000000..5f34483a0
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diff --git a/testdata/dnn/onnx/data/input_sub_from_const_eltwise.npy b/testdata/dnn/onnx/data/input_sub_from_const_eltwise.npy
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index 000000000..38408b6ed
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diff --git a/testdata/dnn/onnx/data/output_sub_from_const1.npy b/testdata/dnn/onnx/data/output_sub_from_const1.npy
new file mode 100644
index 000000000..a4a4aa667
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diff --git a/testdata/dnn/onnx/data/output_sub_from_const_broadcast.npy b/testdata/dnn/onnx/data/output_sub_from_const_broadcast.npy
new file mode 100644
index 000000000..c7ad16fec
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diff --git a/testdata/dnn/onnx/data/output_sub_from_const_eltwise.npy b/testdata/dnn/onnx/data/output_sub_from_const_eltwise.npy
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index 000000000..013f17ad3
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diff --git a/testdata/dnn/onnx/generate_onnx_models.py b/testdata/dnn/onnx/generate_onnx_models.py
index af8032550..d1965c2f4 100644
--- a/testdata/dnn/onnx/generate_onnx_models.py
+++ b/testdata/dnn/onnx/generate_onnx_models.py
@@ -1523,3 +1523,38 @@ def save_data_and_paddle_model(model, name, input_data):
 input_shape = [1, 2, 3, 4]
 x = paddle.rand(input_shape, dtype="float32")
 save_data_and_paddle_model(Resize_HumanSeg(), "resize_humanseg", x)
+
+class SubFromConstBroadcast(nn.Module):
+    def __init__(self, *args, **kwargs):
+        super(SubFromConstBroadcast, self).__init__()
+        self.const = torch.randn(1, 3, dtype=torch.float32)
+
+    def forward(self, x):
+        return self.const - x
+
+model = SubFromConstBroadcast()
+input_ = Variable(torch.randn(2, 3, dtype=torch.float32))
+save_data_and_model("sub_from_const_broadcast", input_, model)
+
+class SubFromConstEltWise(nn.Module):
+    def __init__(self, *args, **kwargs):
+        super(SubFromConstEltWise, self).__init__()
+        self.const = torch.randn(1, 2, 3, 4, dtype=torch.float32)
+
+    def forward(self, x):
+        return self.const - x
+
+model = SubFromConstEltWise()
+input_ = Variable(torch.randn(1, 2, 3, 4, dtype=torch.float32))
+save_data_and_model("sub_from_const_eltwise", input_, model)
+
+class SubFromConst1(nn.Module):
+    def __init__(self, *args, **kwargs):
+        super(SubFromConst1, self).__init__()
+
+    def forward(self, x):
+        return 1 - x
+
+model = SubFromConst1()
+input_ = Variable(torch.randn(1, 2, 3, 4, dtype=torch.float32))
+save_data_and_model("sub_from_const1", input_, model)
diff --git a/testdata/dnn/onnx/models/sub_from_const1.onnx b/testdata/dnn/onnx/models/sub_from_const1.onnx
new file mode 100644
index 000000000..4809de5f2
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diff --git a/testdata/dnn/onnx/models/sub_from_const_broadcast.onnx b/testdata/dnn/onnx/models/sub_from_const_broadcast.onnx
new file mode 100644
index 000000000..feabfa849
--- /dev/null
+++ b/testdata/dnn/onnx/models/sub_from_const_broadcast.onnx
@@ -0,0 +1,15 @@
+pytorch1.9:�

+;
1
+Constant_0"Constant* 
+value*

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+
+
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+
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+
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+

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+
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+

+
+B	
\ No newline at end of file
diff --git a/testdata/dnn/onnx/models/sub_from_const_eltwise.onnx b/testdata/dnn/onnx/models/sub_from_const_eltwise.onnx
new file mode 100644
index 000000000..feb661f7c
--- /dev/null
+++ b/testdata/dnn/onnx/models/sub_from_const_eltwise.onnx
@@ -0,0 +1,19 @@
+pytorch1.9:�

+�

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+Constant_0"Constant*x
+value*l

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��/�0?F��ko]��3���uI?�X�=.&����,��[W�����>a��Z]��ǒ�?�2V־�݂��

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+
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+
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+

+

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+
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+

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+
+
+B	
\ No newline at end of file