Imported Upstream version 1.19.0

[platform/core/ml/nnfw.git] / compiler / luci-interpreter / src / kernels / Conv2D.test.cpp

diff --git a/compiler/luci-interpreter/src/kernels/Conv2D.test.cpp b/compiler/luci-interpreter/src/kernels/Conv2D.test.cpp
index 277c280..0fe6ef7 100644 (file)
--- a/compiler/luci-interpreter/src/kernels/Conv2D.test.cpp
+++ b/compiler/luci-interpreter/src/kernels/Conv2D.test.cpp
@@ -663,6 +663,45 @@ TEST_F(Conv2DTest, Invalid_Input_Shape_NEG)
   EXPECT_ANY_THROW(kernel.configure());
 }
 
+TEST_F(Conv2DTest, Invalid_fused_act_tanh_NEG)
+{
+  Shape input_shape{1, 4, 3, 2};
+  Shape filter_shape{2, 2, 2, 2};
+  Shape bias_shape{2};
+  std::vector<float> input_data{
+    1,  2,  3,  4,  5,  6,  // row = 0
+    7,  8,  9,  10, 11, 12, // row = 1
+    13, 14, 15, 16, 17, 18, // row = 2
+    19, 20, 21, 22, 23, 24, // row = 3
+  };
+  std::vector<float> filter_data{
+    1,  2,  -3, -4, // out = 0, row = 0
+    -5, 6,  -7, 8,  // out = 1, row = 0
+    4,  -2, 3,  -1, // out = 0, row = 1
+    -8, -6, 7,  5,  // out = 1, row = 1
+  };
+  std::vector<float> bias_data{1, 2};
+  Tensor input_tensor =
+    makeInputTensor<DataType::FLOAT32>(input_shape, input_data, _memory_manager.get());
+  Tensor filter_tensor =
+    makeInputTensor<DataType::FLOAT32>(filter_shape, filter_data, _memory_manager.get());
+  Tensor bias_tensor =
+    makeInputTensor<DataType::FLOAT32>(bias_shape, bias_data, _memory_manager.get());
+  Tensor im2col(DataType::FLOAT32, Shape({}), {}, "");
+  Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
+
+  Conv2DParams params{};
+  params.padding = Padding::VALID;
+  params.stride_height = 2;
+  params.stride_width = 1;
+  params.dilation_height_factor = 1;
+  params.dilation_width_factor = 1;
+  params.activation = Activation::TANH;
+
+  Conv2D kernel(&input_tensor, &filter_tensor, &bias_tensor, &output_tensor, &im2col, params);
+  EXPECT_ANY_THROW(kernel.configure());
+}
+
 } // namespace
 } // namespace kernels
 } // namespace luci_interpreter