From 00d6a276db50a2476c6201c9e36d94271e2707ec Mon Sep 17 00:00:00 2001
From: Liubov Batanina <piccione-mail@yandex.ru>
Date: Mon, 1 Feb 2021 12:45:51 +0300
Subject: [PATCH] Added NormalizeL2 test data

---
 testdata/dnn/onnx/data/input_normalize_fusion.npy | Bin 0 -> 152 bytes
 .../dnn/onnx/data/output_normalize_fusion.npy     | Bin 0 -> 152 bytes
 testdata/dnn/onnx/generate_onnx_models.py         |  13 +++++++++++++
 testdata/dnn/onnx/models/normalize_fusion.onnx    | Bin 0 -> 322 bytes
 4 files changed, 13 insertions(+)
 create mode 100644 testdata/dnn/onnx/data/input_normalize_fusion.npy
 create mode 100644 testdata/dnn/onnx/data/output_normalize_fusion.npy
 create mode 100644 testdata/dnn/onnx/models/normalize_fusion.onnx

diff --git a/testdata/dnn/onnx/data/input_normalize_fusion.npy b/testdata/dnn/onnx/data/input_normalize_fusion.npy
new file mode 100644
index 0000000000000000000000000000000000000000..8cdfd0bff462763fb3c1503ce71ff623fad7cd52
GIT binary patch
literal 152
zcmbR27wQ`j$;eQ~P_3SlTAW;@Zl$1ZlV+l>qoAIaUsO_*m=~X4l#&V(cT3DEP6dh=
wXCxM+0{I$7Its>`ItsN4WCN~)_q81O-JI;=l4k8wNq67BI+oYrfn?!+0Am6rasU7T

literal 0
HcmV?d00001

diff --git a/testdata/dnn/onnx/data/output_normalize_fusion.npy b/testdata/dnn/onnx/data/output_normalize_fusion.npy
new file mode 100644
index 0000000000000000000000000000000000000000..420aebbce5cb7b8114913fe3ab334aef0b7920b6
GIT binary patch
literal 152
zcmbR27wQ`j$;eQ~P_3SlTAW;@Zl$1ZlV+l>qoAIaUsO_*m=~X4l#&V(cT3DEP6dh=
xXCxM+0{I$7Its>`ItsN4WCJeO1GV;l?I+mgJ3rmK_1D~essH2cpEB>?2LOw5DEj~a

literal 0
HcmV?d00001

diff --git a/testdata/dnn/onnx/generate_onnx_models.py b/testdata/dnn/onnx/generate_onnx_models.py
index 8d5cc52c3..f017ad775 100644
--- a/testdata/dnn/onnx/generate_onnx_models.py
+++ b/testdata/dnn/onnx/generate_onnx_models.py
@@ -1245,3 +1245,16 @@ def forward(self, x):
 x = Variable(torch.randn([1, 1, 3, 4]))
 model = PadCalculation()
 save_data_and_model("calc_pads", x, model, version=11)
+
+class NormalizeFusion(nn.Module):
+    def forward(self, x):
+        mul = x * x
+        sum = torch.sum(mul, dim=(1), keepdim=True)
+        maximum = torch.clamp(sum, min=1e-8)
+        sqrt = torch.sqrt(maximum)
+        reciprocal = torch.reciprocal(sqrt)
+        return x * reciprocal
+
+x = Variable(torch.randn([2, 3]))
+model = NormalizeFusion()
+save_data_and_model("normalize_fusion", x, model)
diff --git a/testdata/dnn/onnx/models/normalize_fusion.onnx b/testdata/dnn/onnx/models/normalize_fusion.onnx
new file mode 100644
index 0000000000000000000000000000000000000000..196c6808cc16d31f97827d8de35179112694b239
GIT binary patch
literal 322
zcmZ9HxlY4C5I{4&vYBvLOCq5yO=lE{ZwVoR2o(|y>1b9aSqXzLoOK8tpW>ch;iIs_
zQ6SCe&AjdrgZ9feSyYQhraC9l*@uE-glRhz9H!saDW6(u3p__~D7b8RCzka>%<GIh
z*5L24hp5FHvATo?`u0AOXCcaElC2I~q2LjMOTlBtEKN%8T3SbY7u77u$FHBqZUcZL
z1doExjQL9?xo2q|@svWqa8~3i8RwGw7WuvH5$fwWt%XfYxY2sO_lpL!E+9bgDTGYF
zPS!lI)D}NoA%*C>E8KQbb6Y=oO5{Xr%A%6@2VMOh?hv2^6{57OKD09WFRv7H@C9kj
BL(l*K

literal 0
HcmV?d00001