From b543e775782e116b2344af3928e57f480d5a2aa7 Mon Sep 17 00:00:00 2001
From: rogday <s.e.a.98@yandex.ru>
Date: Mon, 20 Dec 2021 19:54:07 +0300
Subject: [PATCH] add test data for Div

---
 testdata/dnn/onnx/data/input_div_const.npy  | Bin 0 -> 144 bytes
 testdata/dnn/onnx/data/output_div_const.npy | Bin 0 -> 144 bytes
 testdata/dnn/onnx/generate_onnx_models.py   |  26 ++++++++++++++++++++
 testdata/dnn/onnx/models/div_const.onnx     | Bin 0 -> 103 bytes
 4 files changed, 26 insertions(+)
 create mode 100644 testdata/dnn/onnx/data/input_div_const.npy
 create mode 100644 testdata/dnn/onnx/data/output_div_const.npy
 create mode 100644 testdata/dnn/onnx/models/div_const.onnx

diff --git a/testdata/dnn/onnx/data/input_div_const.npy b/testdata/dnn/onnx/data/input_div_const.npy
new file mode 100644
index 0000000000000000000000000000000000000000..ae1854526e18fa7a6a7afb893e2e7dc73fc99ed8
GIT binary patch
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diff --git a/testdata/dnn/onnx/data/output_div_const.npy b/testdata/dnn/onnx/data/output_div_const.npy
new file mode 100644
index 0000000000000000000000000000000000000000..1e69cee394aad73da00b4f683d9221f004d37273
GIT binary patch
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diff --git a/testdata/dnn/onnx/generate_onnx_models.py b/testdata/dnn/onnx/generate_onnx_models.py
index d1965c2f4..b930c84d2 100644
--- a/testdata/dnn/onnx/generate_onnx_models.py
+++ b/testdata/dnn/onnx/generate_onnx_models.py
@@ -1558,3 +1558,29 @@ def forward(self, x):
 model = SubFromConst1()
 input_ = Variable(torch.randn(1, 2, 3, 4, dtype=torch.float32))
 save_data_and_model("sub_from_const1", input_, model)
+
+########################## const / x ##########################
+
+node = onnx.helper.make_node('Div', inputs=['x', 'y'], outputs=['z'])
+
+x = np.array([2]).astype(np.float32)
+y = np.array([[4, 4], [4, 4]]).astype(np.float32)
+name = 'div_const'
+input_files = os.path.join("data", "input_" + name)
+np.save(input_files, x.data)
+np.save(input_files, y.data)
+
+z = (x / y).astype(np.float32)
+output_files =  os.path.join("data", "output_" + name)
+np.save(output_files, np.ascontiguousarray(z.data))
+
+X = onnx.helper.make_tensor('x', onnx.TensorProto.FLOAT, x.shape, x)
+Y = onnx.helper.make_tensor_value_info('y', onnx.TensorProto.FLOAT, y.shape)
+Z = onnx.helper.make_tensor_value_info('z', onnx.TensorProto.FLOAT, z.shape)
+
+graph = onnx.helper.make_graph([node], 'div_const', [Y], [Z], initializer=[X])
+model = onnx.helper.make_model(graph, producer_name=name)
+models_files = os.path.join("models", name + ".onnx")
+onnx.save(model, models_files)
+
+########################## const / x ##########################
diff --git a/testdata/dnn/onnx/models/div_const.onnx b/testdata/dnn/onnx/models/div_const.onnx
new file mode 100644
index 0000000000000000000000000000000000000000..7b05613c51673e25b2d054336677cc7f9d5e828d
GIT binary patch
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literal 0
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