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Fixed compiler fail for elu #358

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merged 1 commit into from
Apr 12, 2022
Merged

Fixed compiler fail for elu #358

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1 change: 1 addition & 0 deletions include/tim/vx/ops/activations.h
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Original file line number Diff line number Diff line change
Expand Up @@ -90,6 +90,7 @@ DECLARE_NO_PARAMETER_ACTIVATION(SoftRelu)

class Elu : public DirectMapOp {
public:
Elu(Graph* graph);
Elu(Graph* graph, float alpha);
std::shared_ptr<Operation> Clone(
std::shared_ptr<Graph>& graph) const override;
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2 changes: 2 additions & 0 deletions src/tim/vx/ops/activations.cc
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Expand Up @@ -46,6 +46,8 @@ DEFINE_NO_PARAMETER_ACTIVATION(SoftRelu, VSI_NN_OP_SOFTRELU)

#undef DEFINE_NO_PARAMETER_ACTIVATION

Elu::Elu(Graph* graph) : Elu(graph, 1) {}

Elu::Elu(Graph* graph, float alpha)
: DirectMapOp(graph, VSI_NN_OP_ELU), alpha_(alpha) {
this->impl()->node()->nn_param.elu.alpha = alpha_;
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29 changes: 29 additions & 0 deletions src/tim/vx/ops/activations_test.cc
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Expand Up @@ -239,6 +239,35 @@ TEST(Elu, shape_5_1_fp32) {
auto input_tensor = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);

std::vector<float> in_data = {-2.5, -0.1, 0, 0.55, 99};
std::vector<float> golden = {-0.917915, -0.0951626, 0, 0.55, 99};

EXPECT_TRUE(
input_tensor->CopyDataToTensor(in_data.data(), in_data.size() * 4));

auto op = graph->CreateOperation<tim::vx::ops::Elu>();
(*op).BindInputs({input_tensor}).BindOutputs({output_tensor});

EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<float> output(5, 0);
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_TRUE(ArraysMatch(golden, output, 1e-5f));
}

TEST(Elu, shape_5_1_fp32_a) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();

tim::vx::ShapeType io_shape({5, 1});
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, io_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32, io_shape,
tim::vx::TensorAttribute::OUTPUT);

auto input_tensor = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);

std::vector<float> in_data = {-2.5, -0.1, 0, 0.55, 99};
std::vector<float> golden = {-0.458957, -0.0475813, 0, 0.55, 99};

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