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fix PR comments
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@Abdurrahheem
Abdurrahheem committed Apr 25, 2024
1 parent e90f7ef commit a4a606f
Showing 1 changed file with 18 additions and 18 deletions.
36 changes: 18 additions & 18 deletions modules/dnn/test/test_layers_1d.cpp
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Expand Up @@ -42,7 +42,7 @@ TEST_P(Layer_1d_Test, Scale)

cv::Mat output_ref = input.mul(weight);
runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down Expand Up @@ -82,7 +82,7 @@ TEST_P(Layer_Gather_1d_Test, Accuracy) {
std::vector<Mat> outputs;

runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down Expand Up @@ -130,7 +130,7 @@ TEST_P(Layer_Arg_1d_Test, Accuracy) {
std::vector<Mat> outputs;

runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down Expand Up @@ -179,7 +179,7 @@ TEST_P(Layer_NaryElemwise_1d_Test, Accuracy) {

runLayer(layer, inputs, outputs);
if (!output_ref.empty()) {
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
} else {
Expand Down Expand Up @@ -236,7 +236,7 @@ TEST_P(Layer_Elemwise_1d_Test, Accuracy) {
runLayer(layer, inputs, outputs);

if (!output_ref.empty()) {
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
} else {
Expand Down Expand Up @@ -271,7 +271,7 @@ TEST(Layer_Reshape_Test, Accuracy_1D)
std::vector<Mat> outputs;

runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand All @@ -296,10 +296,10 @@ TEST_P(Layer_Split_Test, Accuracy_01D)
std::vector<Mat> inputs{input};
std::vector<Mat> outputs;
runLayer(layer, inputs, outputs);
ASSERT_EQ(top_count, outputs.size());
ASSERT_EQ(outputs.size(), top_count);
for (int i = 0; i < top_count; i++)
{
ASSERT_EQ(shape(output_ref), shape(outputs[i]));
ASSERT_EQ(shape(outputs[i]), shape(output_ref));
normAssert(output_ref, outputs[i]);
}
}
Expand Down Expand Up @@ -336,7 +336,7 @@ TEST_P(Layer_Expand_Test, Accuracy_ND) {
std::vector<Mat> outputs;

runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down Expand Up @@ -379,7 +379,7 @@ TEST_P(Layer_Concat_Test, Accuracy_01D)
std::vector<Mat> outputs;

runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down Expand Up @@ -419,7 +419,7 @@ TEST_P(Layer_Softmax_Test, Accuracy_01D) {
std::vector<Mat> inputs{input};
std::vector<Mat> outputs;
runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down Expand Up @@ -477,7 +477,7 @@ TEST_P(Layer_Scatter_Test, Accuracy1D) {
std::vector<Mat> inputs{output, indices_mat, input};
std::vector<Mat> outputs;
runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down Expand Up @@ -510,7 +510,7 @@ TEST_P(Layer_Permute_Test, Accuracy_01D)
std::vector<Mat> outputs;

runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down Expand Up @@ -564,9 +564,9 @@ TEST_P(Layer_Slice_Test, Accuracy_1D){
std::vector<Mat> inputs{input};
std::vector<Mat> outputs;
runLayer(layer, inputs, outputs);
ASSERT_EQ(splits, outputs.size());
ASSERT_EQ(outputs.size(), splits);
for (int i = 0; i < splits; ++i){
ASSERT_EQ(shape(output_refs[i]), shape(outputs[i]));
ASSERT_EQ(shape(outputs[i]), shape(output_refs[i]));
normAssert(output_refs[i], outputs[i]);
}
}
Expand Down Expand Up @@ -603,7 +603,7 @@ TEST_P(Layer_FullyConnected_Test, Accuracy_01D)
std::vector<Mat> inputs{input};
std::vector<Mat> outputs;
runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down Expand Up @@ -649,7 +649,7 @@ TEST_P(Layer_BatchNorm_Test, Accuracy_01D)
cv::sqrt(varMat + 1e-5, varMat);
output_ref = (output_ref - meanMat) / varMat;

ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);

Expand Down Expand Up @@ -682,7 +682,7 @@ TEST_P(Layer_Const_Test, Accuracy_01D)
std::vector<Mat> inputs; // No inputs are needed for a ConstLayer
std::vector<Mat> outputs;
runLayer(layer, inputs, outputs);
ASSERT_EQ(1, outputs.size());
ASSERT_EQ(outputs.size(), 1);
ASSERT_EQ(shape(outputs[0]), shape(output_ref));
normAssert(output_ref, outputs[0]);
}
Expand Down

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