Add support for list of tensors as input parameter

Some operators (e.g. Concat) expect list of tensor as an input
parameter. Currently operators API does not support passing
such parameters from the client code.

In order to enable it:
- Add new type tensor_list_t
- Update operators API generation script to support new type
- Add unit test for operator Concat

Signed-off-by: Dmitrii Agibov <dmitrii.agibov@arm.com>
Change-Id: Ib2f61bcea5e5ecabf56ce031d905cb46a4cc68ea

1 files changed, 47 insertions, 0 deletions

diff --git a/reference_model/test/model_runner_tests.cpp b/reference_model/test/model_runner_tests.cpp
index 35e3aa2..5292dd8 100644
--- a/reference_model/test/model_runner_tests.cpp
+++ b/reference_model/test/model_runner_tests.cpp
@@ -152,6 +152,53 @@ TEST_SUITE("model_runner")
         compareOutput(dstData, expectedData, expectedData.size());
     }
 
+    TEST_CASE("op_entry_concat")
+    {
+        // Concat parameters
+        const int32_t axis = 2;
+
+        // Inputs/Outputs
+        tosa_datatype_t dt                = tosa_datatype_fp32_t;
+        std::vector<int32_t> input1_shape = { 1, 2, 3, 4 };
+        std::vector<int32_t> input2_shape = { 1, 2, 5, 4 };
+        std::vector<int32_t> output_shape = { 1, 2, 8, 4 };
+        std::vector<float> src1Data(24, 1.0f);
+        std::vector<float> src2Data(40, 1.0f);
+        std::vector<float> dstData(64, 0.f);
+
+        tosa_tensor_t input1;
+        input1.shape     = input1_shape.data();
+        input1.num_dims  = input1_shape.size();
+        input1.data_type = dt;
+        input1.data      = reinterpret_cast<uint8_t*>(src1Data.data());
+        input1.size      = src1Data.size() * sizeof(float);
+
+        tosa_tensor_t input2;
+        input2.shape     = input2_shape.data();
+        input2.num_dims  = input2_shape.size();
+        input2.data_type = dt;
+        input2.data      = reinterpret_cast<uint8_t*>(src2Data.data());
+        input2.size      = src2Data.size() * sizeof(float);
+
+        tosa_tensor_list_t input_list;
+        tosa_tensor_t inputs[]{ input1, input2 };
+        input_list.size    = 2;
+        input_list.tensors = inputs;
+
+        tosa_tensor_t output;
+        output.shape     = output_shape.data();
+        output.num_dims  = output_shape.size();
+        output.data_type = dt;
+        output.data      = reinterpret_cast<uint8_t*>(dstData.data());
+        output.size      = dstData.size() * sizeof(float);
+
+        auto status = tosa_run_concat(input_list, axis, output, {});
+        CHECK((status == tosa_status_valid));
+
+        std::vector<float> expectedData(64, 1.0f);
+        compareOutput(dstData, expectedData, expectedData.size());
+    }
+
     TEST_CASE("op_entry_conv2d")
     {
         // Conv parameters